Python Developer Jobs in UAE

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Overview<br><br>Role : <br><br>We’re looking for a Dev Ex / Dev Ops Engineer to join the Infrastructure team to evolve our build, test, and deployment systems. You’ll design scalable pipelines, reduce cycle time, and raise the bar on security and observability across our delivery workflows. You’ll collaborate with engineers across the company to understand their tech stack challenges and deployment requirements and improve processes to make shipping feel effortless<br><br>Responsibilities<br><br>Design, build, and maintain CI/CD pipelines (Git Hub Actions) for microservices (Python / Go / Java / Kotlin / Type Script) and Unity applications Implement pipeline templates and reusable workflows to minimize pipeline duplication across repos Integrate security into delivery (SAST/DAST, dependency scanning, secret scanning, SBOM generation). Improve build performance (caching, parallelization) Improve release automation (versioning, approvals, migrations, feature flags, release notes) Partner with engineers to improve developer experience (local dev parity, preview environments, PR checks, AI-driven workflows) Build observability around pipelines and deployments (metrics, logs, alerts, dashboards) Support incident response for deployment and release issues Continuously evaluate tools and practices to keep our delivery stack modern and cost-effective<br><br>Qualifications<br><br>3+ years in Dev Ex, Dev Ops, SRE or Platform Engineering Strong hands-on experience with scripting and automation (Bash plus one of Node, Go, or Python) Strong knowledge of Git Hub and Git Hub Actions Strong debugging skills across CI logs, build systems, and runtime environments Strong knowledge of containers (Docker) Hands-on experience with Kubernetes Hands-on experience deploying to cloud infrastructure (AWS/GCP/Azure), including IAM and networking Infrastructure-as-Code experience (Terraform preferred)<br><br>Nice to Have<br><br>Experience with monorepos and advanced build systems (Bazel, Nx, Turborepo, Pants) Experience administering Git Hub Enterprise Server (self-hosted) Experience administering self-hosted JFrog Artifactory (and related JFrog tooling) Supply chain security (SLSA, Sigstore, provenance, signing, attestations) Observability tooling (Prometheus/Grafana, Datadog, Open Telemetry)

Overview<br><br>Role : <br><br>We’re looking for a Dev Ex / Dev Ops Engineer to join the Infrastructure team to evolve our build, test, and deployment systems. You’ll design scalable pipelines, reduce cycle time, and raise the bar on security and observability across our delivery workflows. You’ll collaborate with engineers across the company to understand their tech stack challenges and deployment requirements and improve processes to make shipping feel effortless<br><br>Responsibilities<br><br>Design, build, and maintain CI/CD pipelines (Git Hub Actions) for microservices (Python / Go / Java / Kotlin / Type Script) and Unity applications Implement pipeline templates and reusable workflows to minimize pipeline duplication across repos Integrate security into delivery (SAST/DAST, dependency scanning, secret scanning, SBOM generation). Improve build performance (caching, parallelization) Improve release automation (versioning, approvals, migrations, feature flags, release notes) Partner with engineers to improve developer experience (local dev parity, preview environments, PR checks, AI-driven workflows) Build observability around pipelines and deployments (metrics, logs, alerts, dashboards) Support incident response for deployment and release issues Continuously evaluate tools and practices to keep our delivery stack modern and cost-effective<br><br>Qualifications<br><br>3+ years in Dev Ex, Dev Ops, SRE or Platform Engineering Strong hands-on experience with scripting and automation (Bash plus one of Node, Go, or Python) Strong knowledge of Git Hub and Git Hub Actions Strong debugging skills across CI logs, build systems, and runtime environments Strong knowledge of containers (Docker) Hands-on experience with Kubernetes Hands-on experience deploying to cloud infrastructure (AWS/GCP/Azure), including IAM and networking Infrastructure-as-Code experience (Terraform preferred)<br><br>Nice to Have<br><br>Experience with monorepos and advanced build systems (Bazel, Nx, Turborepo, Pants) Experience administering Git Hub Enterprise Server (self-hosted) Experience administering self-hosted JFrog Artifactory (and related JFrog tooling) Supply chain security (SLSA, Sigstore, provenance, signing, attestations) Observability tooling (Prometheus/Grafana, Datadog, Open Telemetry)

Role: AI Engineer (Remote) Location: Remote Payout: $50 - $300/hour<br>Role Overview We are hiring an AI Engineer to build production LLM applications including RAG pipelines, agents, evaluations, and inference systems. In this role, you will work on real AI products that ship to real users. The ideal candidate is strong in Python, comfortable with ambiguity, and excited about designing evaluations and improving model reliability.<br>Key Responsibilities- Build LLM-powered applications: RAG pipelines, agents, fine-tuning, and evaluations.- Optimize inference latency, throughput, and cost across commercial and open models.- Design prompts, evaluations, and feedback loops for reliability and quality.- Work with vector databases, embeddings, and retrieval systems.- Ship user-facing AI features and own their quality end-to-end.- Collaborate with product, engineering, and research teams.<br>Required Skills & Qualifications- 2+ years of software engineering experience, with 1+ year working directly with LLMs.- Strong Python and experience with at least one AI framework (Lang Chain, Llama Index, DSPy, or raw APIs).- Experience with at least one vector database (Pinecone, Qdrant, Weaviate, pgvector).- Prompt engineering and evaluation design experience.- Comfort working with ambiguous, fast-moving problems.- Strong written communication.<br>Preferred Qualifications- Fine-tuning experience (LoRA, QLoRA, full fine-tuning).- Multimodal AI experience (vision, audio, video).- MLOps or production ML systems background.- Published research, conference talks, or open-source AI contributions.- Experience with inference optimization or distributed training.<br>What We Offer- Remote and flexible work environment.- Competitive pay with contract and full-time options.- Generous compute and tooling budget.- Opportunity to work on frontier AI problems.- Collaborative team with strong AI engineering culture.<br>Equal Opportunity Employer We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: AI Engineer (Remote) Location: Remote Payout: $50 - $300/hour<br>Role Overview We are hiring an AI Engineer to build production LLM applications including RAG pipelines, agents, evaluations, and inference systems. In this role, you will work on real AI products that ship to real users. The ideal candidate is strong in Python, comfortable with ambiguity, and excited about designing evaluations and improving model reliability.<br>Key Responsibilities- Build LLM-powered applications: RAG pipelines, agents, fine-tuning, and evaluations.- Optimize inference latency, throughput, and cost across commercial and open models.- Design prompts, evaluations, and feedback loops for reliability and quality.- Work with vector databases, embeddings, and retrieval systems.- Ship user-facing AI features and own their quality end-to-end.- Collaborate with product, engineering, and research teams.<br>Required Skills & Qualifications- 2+ years of software engineering experience, with 1+ year working directly with LLMs.- Strong Python and experience with at least one AI framework (Lang Chain, Llama Index, DSPy, or raw APIs).- Experience with at least one vector database (Pinecone, Qdrant, Weaviate, pgvector).- Prompt engineering and evaluation design experience.- Comfort working with ambiguous, fast-moving problems.- Strong written communication.<br>Preferred Qualifications- Fine-tuning experience (LoRA, QLoRA, full fine-tuning).- Multimodal AI experience (vision, audio, video).- MLOps or production ML systems background.- Published research, conference talks, or open-source AI contributions.- Experience with inference optimization or distributed training.<br>What We Offer- Remote and flexible work environment.- Competitive pay with contract and full-time options.- Generous compute and tooling budget.- Opportunity to work on frontier AI problems.- Collaborative team with strong AI engineering culture.<br>Equal Opportunity Employer We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">About the Role: As an AI/ML Developer-2 based in Bengaluru, India, you will design, develop, and deploy advanced machine learning models and AI solutions to solve complex business problems. You will collaborate with cross-functional teams to build scalable, data-driven applications and drive innovation through end-to-end ML workflows. Responsibilities: Design, implement, and maintain machine learning models and algorithms using Python Perform data preprocessing, feature engineering, and statistical analysis on large datasets Collaborate with data engineers and software developers to integrate ML models into production systems Monitor and optimize model performance, retraining models as needed Conduct experiments to evaluate new algorithms and frameworks, and present findings to stakeholders Document code, processes, and model artifacts for reproducibility and compliance Stay up to date with the latest developments in AI/ML research and tools Required Qualifications: 5-7 years of professional experience in AI/ML development or related field Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling Experience with data preprocessing, feature engineering, and model evaluation techniques Familiarity with SQL and NoSQL databases for data extraction and manipulation Proven experience deploying ML models into production environments Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or GCP and their ML services Knowledge of MLOps practices, CI/CD pipelines, and containerization tools like Docker and Kubernetes Hands-on experience with big data technologies such as Spark, Hadoop, or Kafka Background in natural language processing, computer vision, or reinforcement learning Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders Master’s or higher degree in Computer Science, Engineering, or a related technical discipline </div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>As the AI Engineer at the Bank within the Data Analytics &amp; Artificial Intelligence division, you will design, develop, and deploy production-grade AI solutions using Microsoft Azure AI Services and Python. Your focus will be on advancing the bank's capabilities in Generative AI, Agentic AI, intelligent automation, knowledge search, and content summarization by building scalable, secure, reliable, and responsible AI systems that enhance operational efficiency, customer engagement, and decision intelligence across the Group. The AI Engineer will work closely with Data Scientists, Platform Engineers, DevOps/MLOps Engineers, Business Analysts, and product teams to deliver end-to-end AI solutions. The role is critical for driving the organization's digital transformation agenda, empowering business users with advanced AI-powered tools, and improving operational efficiency through intelligent automation using GERNAS OS platform and Agent Development Kit (ADK).</p></li></ul><br><p>Role Overview: The position is a Level 1 technical support role focused on laptop configuration, delivery, and post-implementation support for applications like Outlook and Teams. </p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Experience &amp; Skills: Candidates should have 1-2 years of experience, but a relevant certification and foundational knowledge of desktop/laptop troubleshooting are essential Knowledge of Bloomberg and in-depth of audio-visual devices. Setting up a meeting room from Scratch TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory Azure AI Services: Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks. Python Programming: Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI). LLM &amp; Generative AI: Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques. ML Libraries &amp; Frameworks: Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK). Vector Databases: Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone. DevOps/MLOps: Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights. Cloud Security &amp; Integration: Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns. AI Ethics &amp; Governance: Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems. </p></li></ul><p></p></section>

<ul><li>Design, develop, and maintain robust, scalable, and efficient API automation frameworks using languages like Python, Java, or JavaScript.</li><li>Architect and implement comprehensive API test strategies, including functional, performance, security, and contract testing.</li><li>Integrate API automated tests into CI/CD pipelines for continuous feedback and rapid deployment cycles.</li><li>Collaborate closely with developers and product managers to understand feature requirements and translate them into effective test cases.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>6–8+ years of API Automation Testing experience in Banking/FinTech.</p></li><li><p>Strong hands-on experience with Playwright API, Rest Assured, PyTest.</p></li><li><p>Strong programming skills in TypeScript/JavaScript, Java, or Python.</p></li><li><p>Experience validating REST APIs, OAuth2, JWT, JSON Schema Validation.</p></li><li><p>Strong understanding of Enterprise Data Platform (EDP) testing.</p></li><li><p>Strong SQL skills with data transformation and reconciliation experience.</p></li><li><p>Experience with Open Finance/Open Banking, API Gateways, Middleware, Enterprise Integrations.</p></li><li><p>Knowledge of Kafka, MQ, Event Streaming is an advantage.</p></li><li><p>Experience with CI/CD, Git, Docker and Agile.</p></li></ul><p>Preferred Qualifications</p><ul><li><p>Experience in Banking, Financial Services, FinTech, Open Banking, or Open Finance.</p></li><li><p>Knowledge of Consent Management, API Security, and financial data sharing.</p></li><li><p>Experience with AWS, Azure, or GCP.</p></li><li><p>Familiarity with AI-assisted testing.</p></li><li><p>Excellent communication, stakeholder management, and cross-functional collaboration skills.</p></li><li><p>Self-driven with strong ownership and accountability.</p></li></ul><p>Skills</p><p>Playwright API</p><p>Rest Assured</p><p>PyTest</p>

<ul><li>Design, develop, and maintain robust, scalable, and efficient API automation frameworks using languages like Python, Java, or JavaScript.</li><li>Architect and implement comprehensive API test strategies, including functional, performance, security, and contract testing.</li><li>Integrate API automated tests into CI/CD pipelines for continuous feedback and rapid deployment cycles.</li><li>Collaborate closely with developers and product managers to understand feature requirements and translate them into effective test cases.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>6–8+ years of API Automation Testing experience in Banking/FinTech.</p></li><li><p>Strong hands-on experience with Playwright API, Rest Assured, PyTest.</p></li><li><p>Strong programming skills in TypeScript/JavaScript, Java, or Python.</p></li><li><p>Experience validating REST APIs, OAuth2, JWT, JSON Schema Validation.</p></li><li><p>Strong understanding of Enterprise Data Platform (EDP) testing.</p></li><li><p>Strong SQL skills with data transformation and reconciliation experience.</p></li><li><p>Experience with Open Finance/Open Banking, API Gateways, Middleware, Enterprise Integrations.</p></li><li><p>Knowledge of Kafka, MQ, Event Streaming is an advantage.</p></li><li><p>Experience with CI/CD, Git, Docker and Agile.</p></li></ul><p>Preferred Qualifications</p><ul><li><p>Experience in Banking, Financial Services, FinTech, Open Banking, or Open Finance.</p></li><li><p>Knowledge of Consent Management, API Security, and financial data sharing.</p></li><li><p>Experience with AWS, Azure, or GCP.</p></li><li><p>Familiarity with AI-assisted testing.</p></li><li><p>Excellent communication, stakeholder management, and cross-functional collaboration skills.</p></li><li><p>Self-driven with strong ownership and accountability.</p></li></ul><p>Skills</p><p>Playwright API</p><p>Rest Assured</p><p>PyTest</p>

<p>Position Title: AI Software Developer Employment Type: Full Time Salary AED: up to 12,000 inclusive depending on experience and qualifications Job Location: Abu Dhabi, UAE About the Client: An established industrial manufacturing company headquartered in Abu Dhabi delivering engineered fastening solutions to the industrial sectors across Middle East. Job Description: Develop and maintain AI-powered business applications, intelligent automation tools, and internal digital solutions. Build full-stack web applications using Python/Django, Node.js, React.js, HTML/CSS/JavaScript, and REST APIs. Integrate LLMs, prompt engineering, vector databases, and AI models into practical business applications and workflows. Work with the IT team on requirements, application support, databases, and occasional basic infrastructure/networking tasks.</p><p>40 years old and below At least 3 years of software development experience with strong hands-on expertise in Python and Django, along with full-stack development using React.js, JavaScript, HTML/CSS, REST APIs, and working knowledge of Node.js. Practical experience developing LLM/Generative AI applications, including prompt engineering, with preferably hands-on exposure to RAG and vector databases. Strong proficiency in NumPy and Pandas, with solid database knowledge and preferably experience working with Microsoft SQL Server. How to Apply: Send your CV in word format to: ITJOBZ2020 AT GMAIL DOT COM and use “AI Software Developer” as email subject</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Design and develop AI-driven applications leveraging LLMs (OpenAI, Hugging Face models, or local LLMs)</p></li><li><p>Build and optimize workflows using frameworks like <strong>LangChain, LlamaIndex, or Haystack</strong></p></li><li><p>Engineer effective prompts for various use cases, ensuring accuracy and consistency</p></li><li><p>Integrate <strong>text-to-SQL models</strong> to convert natural language queries into database operations</p></li><li><p>Work with <strong>vector databases</strong> (FAISS, Chroma, Pinecone) for semantic search and retrieval tasks</p></li><li><p>Implement document processing pipelines including <strong>PDF ingestion, text chunking, and embedding generation</strong></p></li><li><p>Generate interactive data visualizations using <strong>Plotly, Vega-lite, or JSON-based charting tools</strong></p></li><li><p>Collaborate with data engineers, analysts, and product teams to deliver robust AI solutions</p></li><li><p>Maintain clean, modular, and scalable Python code</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Strong experience with <strong>LLM frameworks</strong> (e.g., LangChain, LlamaIndex, Haystack)</p></li><li><p>Familiarity with <strong>LLM APIs</strong> such as OpenAI, Cohere, or local models via Hugging Face</p></li><li><p>Hands-on experience with <strong>prompt engineering</strong> and model fine-tuning (preferred)</p></li><li><p>Proficiency in <strong>vector databases</strong>: FAISS, Pinecone, or Chroma</p></li><li><p>Solid understanding of <strong>document processing</strong>: text chunking, embedding strategies, and retrieval pipelines</p></li><li><p>Knowledge of <strong>text-to-SQL model integration</strong> and query optimization</p></li><li><p>Experience with <strong>data visualization tools</strong>: Plotly, Vega-lite, or equivalent</p></li><li><p>Strong command of <strong>SQL and Python</strong></p></li><li><p>Excellent problem-solving skills and ability to work in a fast-paced environment</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Build and maintain reusable React JS component libraries</p></li><li><p>Translate Figma/XD designs into responsive, pixel-perfect UIs</p></li><li><p>Implement responsive layouts using Flexbox, CSS Grid, and mobile-first principles</p></li><li><p>Build data-heavy dashboards with charts, tables, and real-time widgets (Chart.js, Recharts)</p></li><li><p>Manage application state using Redux Toolkit, Zustand, or Context API</p></li><li><p>Integrate REST APIs and handle loading, error, and empty states gracefully</p></li><li><p>Optimize performance — lazy loading, memoization, code splitting, bundle size</p></li><li><p>Ensure cross-browser compatibility and WCAG 2.1 accessibility standards</p></li><li><p>Write unit tests with Jest and React Testing Library</p></li><li><p>Build and maintain RESTful APIs using Node.js (Express / NestJS)</p></li><li><p>Develop Python-based backend services or data pipelines (FastAPI / Flask)</p></li><li><p>Collaborate with AI/ML teams to integrate model outputs into frontend interfaces</p></li><li><p>Participate in design reviews and contribute to UI/UX decisions</p></li><li><p>Maintain clean, documented code with Git branching and PR workflows</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p><strong>Frontend (primary)</strong></p><ul><li><p>6+ years React JS in production</p></li><li><p>Strong JavaScript (ES6+) and TypeScript</p></li><li><p>Tailwind CSS, Material UI, or shadcn/ui</p></li><li><p>Responsive design — Flexbox, Grid, mobile-first</p></li><li><p>HTML5 / CSS3 — semantic markup, accessibility</p></li><li><p>REST API integration and async patterns</p></li><li><p>State management — Redux Toolkit / Zustand / Context API</p></li></ul><p><strong>Backend (secondary)</strong></p><ul><li><p>Node.js with Express or NestJS — REST API development</p></li><li><p>Python with FastAPI or Flask — service and API development</p></li><li><p>PostgreSQL or MongoDB — basic schema design and querying</p></li><li><p>JWT / OAuth 2.0 authentication patterns</p></li><li><p>Git, code reviews, Agile/Scrum</p></li></ul><br><p><strong>Nice to have</strong></p><ul><li><p>Next.js (SSR, SSG, ISR)</p></li><li><p>Data visualization — Chart.js, Recharts, D3.js</p></li><li><p>React Native or cross-platform mobile experience</p></li><li><p>Python data pipelines or LLM API integration (OpenAI, Azure OpenAI)</p></li><li><p>LangChain or RAG pipeline exposure</p></li><li><p>Banking or fintech domain knowledge</p></li><li><p>Azure or AWS basics</p></li><li><p>Microfrontend architecture (Module Federation)</p></li><li><p>WebSockets / real-time UI</p></li><li><p>Docker and CI/CD basics</p></li></ul><p><br></p></li></ul><p></p></section>

About Revolut<br><br>People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 80+ million customers get more from their money every day.<br><br>As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.<br><br>About The Role<br><br>Our Data Science team solves complex problems with smart, practical solutions. Data Analysts and Scientists ‌work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.<br><br>We’re looking for a talented Data Analyst to dig into our complex databases, look for root causes of a problem, design your own solutions, and write your own code to implement them. We aim for you to never stop learning, picking up new skills and delivering value along the way.<br><br>Up to shape what's next in finance? Let's get in touch.<br><br>What You’ll Be Doing<br><br>Understanding our business and its processes through our data Applying this understanding and knowledge of data to help product and service teams Designing key metrics to measure different aspects of the business Creating and maintaining new aggregated views and tables to simplify data querying Maintaining and creating new dashboards to track metrics and visualise insights Promoting data literacy across the company, organising and holding workshops<br><br>What You'll Need<br><br>Previous experience in an analytical role, creating impactful solutions A background/education in a quantitative discipline5+ years of experience with SQLGreat skills with Python or other programming languages Evidence of solid mathematical and statistics knowledge<br><br>Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.<br><br>Important notice for candidates:<br><br>Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<br><br> Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.<br><br>We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.<br><br>By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice

Position: Investment Director Location: Remote (Global) Compensation: Up to USD $260,000 per annum + Monthly performance bonus + Comprehensive benefits<br>About RGG Capital:RGG Capital is a Dubai-headquartered single family office deploying proprietary capital into hedge funds, liquid alternatives, and systematic strategies. We run a focused, research-driven process where analytical depth and independent judgment define how capital is deployed. Small team, direct access to decision-makers, zero bureaucracy.<br>The Role:We are looking for an Investment Director to lead investment research and coordinate the end-to-end investment process. You will work closely with senior leadership to enhance research capabilities, optimize portfolio operations, and drive analytical excellence across the investment division. This is a research-intensive, high-autonomy position for a professional who combines deep market knowledge with operational rigor.<br>Responsibilities:Lead Investment Due Diligence Source, screen, and evaluate investment opportunities across strategies and geographies. Conduct in-depth analysis of performance, investment process, risk metrics, and team capabilities. Maintain regular contact with managers to assess strategy evolution, performance attribution, and organizational stability. Coordinate the Due Diligence Process Collaborate with internal team members to coordinate the full due diligence lifecycle. Maintain trackers and ensure timely completion of regular updates. Synthesize outputs into comprehensive investment memoranda for senior leadership. Conduct Macro Research and Market Analysis Monitor and interpret macroeconomic data, central bank policy, and geopolitical developments to assess implications for markets and asset classes. Identify key trends and develop scenario analyses to inform investment decisions and portfolio positioning. Distill actionable insights and periodic briefs for senior leadership.<br>Required Qualifications:8 to 12 years of professional experience in investment management, whether in investment research, portfolio management, or institutional allocation. Deep understanding of financial markets and complex financial instruments. Advanced degree (Master's or PhD) in Finance, Mathematics, Physics, or a related quantitative field. Programming skills in Python for investment analysis and portfolio management. Exceptional research and written communication skills. Proven ability to coordinate and manage projects in multi-stakeholder investment environments. Proficiency in Bloomberg and industry-standard investment tools.<br>Preferred Qualifications:CFA, CAIA, or equivalent professional certifications. Additional programming skills (R, SQL, etc.). Experience with emerging markets. Proven portfolio management track record.<br>What Is In It For You:Join a High-Performance Organization and Partner with the 1%: ???? Work directly with Forbes Council Member CEO. Your vision is the company's vision. Gain firsthand exposure to strategic decisions and high-velocity execution Embrace Radical Flexibility: Work from anywhere in the world with meaningful time zone overlap. Structure your environment around your best thinking, whether that's a home office or a co-working space. It's your choice!<br>In addition, if you would like to relocate to our Dubai headquarters and work alongside the team in person, we welcome you to do so! We will cover relocation and visa sponsorship in full, and salaries in the UAE carry 0% income tax.<br>The RGG DNA:We're restless, perpetually hungry, and fast-paced, driven by an unwavering belief that rigorous independent judgment beats consensus, regardless of who holds it.<br>Be the Owner: We don't hire employees; we welcome owners. You're accountable for results, not activity. Execute with Urgency: We thrive in high-stakes environments by making thoughtful decisions quickly and acting decisively. Demand Excellence: We solve the hard problems that others can't, pushing the boundaries of our craft. Be AI-First: Daily multi-turn AI conversations challenge your assumptions. Go All-In: When the mission demands it, we rally as one team to cross the finish line.<br>✨ Your Total Compensation & Benefits:???? Compensation: Up to USD $260,000 per annum + Monthly performance bonus + Comprehensive benefits Annual salary review every January???? Health & Protection: Comprehensive medical, dental, and vision insurance (based on country of hire)???? Time Off: Generous Paid Time Off (PTO) + Public holidays???? Work Environment:AI-First organization with access to AI-native tool stack Remote First: Work from the comfort of your home office Learning & development opportunities<br>???? Rewards & Recognition:Eligibility for selection to the Leaders Club, an elite recognition program featuring premium wellness memberships, exclusive networking with senior leadership, and annual leadership retreats Eligibility for nomination as 'We Are' Champion of the Month, monthly recognition with gift vouchers and company-wide celebration for exceptional contributions<br>How to Apply Click "Apply" to submit your application.

Senior QA Automation Engineer | Arabic Speaker | Remote Required 6–8 years of software QA experience. Strong UI testing experience for web and mobile. Hands-on with Selenium, Appium, Playwright. Proficiency in Python for automation. Experience with JMeter. Strong understanding of API testing and related tools. Good knowledge of database testing and SQL. Familiarity with Proxyman or Charles. Exposure to AI testing concepts. Experience with Agile/Scrum. Strong analytical, debugging, problem-solving, communication, and documentation skills. Preffered CI/CD: Jenkins, Git Hub Actions Docker Cloud: AWS, Azure, or GCPISTQB or relevant QA certificatio

<ul><li>Design and implement responsive user interfaces using frameworks like React or Angular, ensuring a seamless user experience across devices.</li><li>Develop and maintain server-side applications with Node.js or Python, integrating APIs to facilitate smooth communication between front-end and back-end.</li><li>Collaborate with UX/UI designers to translate design mockups into functional web applications, focusing on usability and performance.</li><li>Write clean, maintainable code while adhering to best practices in software development, including version control with Git.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Required Skills and Experience</p><p>Technical — Essential</p><ul><li><p>5+ years full stack development; strong React/TypeScript frontend</p></li><li><p>REST API design and consumption; WebSocket / Server-Sent Events for real-time updates</p></li><li><p>State management: Redux, Zustand, or React Query for complex async data flows</p></li><li><p>Charting and data visualisation: Recharts, D3, or similar for operational dashboard metrics</p></li><li><p>Node.js or Python backend (FastAPI / Express) for BFF (Backend for Frontend) patterns</p></li><li><p>Authentication: OAuth2 / OIDC, Entra ID B2C for customer-facing channels</p></li><li><p>Docker, Kubernetes basics — deploying frontend workloads to AKS</p></li></ul><p>Technical — Advantageous</p><ul><li><p>Mobile development: React Native or native iOS/Android for Mobile Banking integration</p></li><li><p>Image rendering and annotation: displaying high-resolution document scans with overlay layers</p></li><li><p>Azure Static Web Apps, Azure Front Door, CDN configuration</p></li><li><p>Streaming API responses: rendering LLM token streams in chat interfaces</p></li><li><p>Familiarity with AI/ML concepts — enough to sensibly display confidence scores and model metrics</p></li></ul><p>Skills</p><p>React</p><p>TypeScript</p><p>Node.js</p></li></ul>

<ul><li><p>Develop robust full-stack applications and APIs using modern interfaces and event-drive and api-first backend services</p></li><li><p>Build reusable components and libraries using modern frameworks</p></li><li><p>Build cloud-native applications leveraging Microsoft Azure or other major cloud services</p></li><li><p>Optimize application frontend and backend for usability, performance, scalability, and security.</p></li><li><p>Implement data protection measures, authentication protocols, and security best practices</p></li><li><p>Collaborate with UI/UX designers, backend engineers, and product managers on refining features</p></li><li><p>Collaborate with Data Scientist and Data Engineers to improve the Data Quality and Insights.</p></li><li><p>Write unit, integration, and end-to-end tests to maintain code quality and reliability</p></li><li><p>Stay updated with industry trends, tools, and best practices</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5+ years of experience in Product development, preferrable AI Products</p><ul><li><p>Strong expertise in full-stack on Backend and/or Frontend development</p></li><li><p>Experience with modern technologies like Python, Rust Golang, React, Angular, Vue.js, or similar</p></li><li><p>Skilled in designing and integrating secure, production-grade APIs, including API versioning, observability (monitoring, tracing, logging and implementing modern authentication mechanism</p></li><li><p>Hands-on experience with containerization and orchestration (Docker, Kubernetes)</p></li><li><p>AI/ ML, GenAI, and agentic frameworks (LangGraph, Microsoft Agent Framework, etc.) experience a bonus</p></li><li><p>Familiarity with CI/CD, version control, and deployment automation</p></li><li><p>Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required</p></li></ul><p>Skills</p><p>Python</p><p>Docker</p><p>AI/ML</p></li></ul>

<ul><li><p>Work with large and complex data sets to solve challenging business problems</p></li><li><p>Collect, clean, and preprocess large datasets for analysis & model training</p></li><li><p>Perform exploratory data analysis (EDA) to uncover insights and inform model development</p></li><li><p>Develop, train, and optimize machine learning models using state-of-the-art algorithms and frameworks</p></li><li><p>Build end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deployment</p></li><li><p>Automate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps tools</p></li><li><p>Collaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutions</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5 years of experience in data science, machine learning, or AI</p></li><li><p>Expertise in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).</p></li><li><p>Strong proficiency in Python and/or R; familiarity with SQL for data querying</p></li><li><p>Ability to build data pipelines (Spark, Airflow, Hadoop) and work with big data tools</p></li><li><p>Understanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.</p></li><li><p>Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps)</p></li><li><p>Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI)</p></li><li><p>Educational qualifications: Master in Computer Science or a related field.</p></li></ul><p>Skills</p><p>Machine Learning</p><p>Data Analysis</p><p>Python</p><p>Powered</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for Senior Linux System Administrators with strong hands-on experience in Red Hat Enterprise Linux (RHEL) and Kubernetes to administer and support the infrastructure underpinning an HPC environment.<br> The role focuses on system reliability, security, performance, automation, and availability .<br> Key Responsibilities Administer and maintain RHEL/Linux servers and HPC compute nodes .<br> Install, configure, patch, upgrade, and troubleshoot Linux operating systems .<br> Manage and support Kubernetes clusters, nodes, and workloads .<br> Perform Linux performance tuning, system hardening, and troubleshooting .<br> Monitor system health, capacity, performance, and availability .<br> Automate infrastructure administration using Ansible, Shell scripting, Python , or similar tools.<br> Support integration between compute, storage, networking, Kubernetes, and HPC platforms .<br> Troubleshoot complex Linux, Kubernetes, and infrastructure issues.<br> Implement security best practices across Linux and Kubernetes environments.<br> Support incident resolution, root-cause analysis, and preventive actions.<br> Maintain system configurations, technical documentation, and operational procedures.<br> Strong hands-on experience as a Linux System Administrator / Linux Engineer / RHEL Administrator .<br> Expert-level administration of Red Hat Enterprise Linux (RHEL) .<br> Strong experience with Kubernetes administration and cluster management .<br> Experience supporting HPC environments / compute clusters is highly preferred.<br> Strong knowledge of: RHEL / Linux Kubernetes Linux performance tuning Linux patching and hardening System monitoring Troubleshooting Capacity management Strong automation/scripting experience with Ansible, Shell/Bash, Python , etc.<br> Experience integrating compute, storage, and networking infrastructure .<br> RHCE – Red Hat Certified Engineer: Mandatory CKA – Certified Kubernetes Administrator: Preferred</span> </div>

<p>We are seeking an experienced Odoo Technical Consultant to design, develop, customize, and maintain Odoo ERP solutions. The ideal candidate will have strong expertise in Python, the Odoo framework, PostgreSQL, and Odoosh, with experience delivering end-to-end ERP implementations and customizations.</p><br><p><strong>Key Responsibilities</strong></p><ul><li><p>Design, develop, customize, and maintain Odoo ERP modules.</p></li><li><p>Gather technical requirements and translate business needs into scalable solutions.</p></li><li><p>Develop custom modules, workflows, reports, and third-party integrations.</p></li><li><p>Configure Odoo, manage user access, security, and data migration.</p></li><li><p>Troubleshoot, debug, and optimize system performance.</p></li><li><p>Collaborate with functional consultants, project teams, and business users.</p></li><li><p>Perform testing, deployment, and documentation of developed solutions.</p></li><li><p>Provide technical support and ensure smooth post-implementation operations.</p></li><li><p>Stay updated with the latest Odoo technologies and best practices.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ol><li><p>Minimum <strong>4 years</strong> of hands-on experience in Odoo development.</p></li><li><p>Strong expertise in <strong>Python</strong> and the <strong>Odoo Framework</strong>.</p></li><li><p>Experience with <strong>Odoosh</strong>, Odoo installation, deployment, and upgrades.</p></li><li><p>Strong knowledge of <strong>PostgreSQL</strong>.</p></li><li><p>Experience with <strong>XML, JavaScript, HTML, CSS</strong>, and REST APIs.</p></li><li><p>Hands-on experience in module customization, workflow automation, and system integration.</p></li><li><p>Strong debugging, analytical, and problem-solving skills.</p></li><li><p>Excellent communication and stakeholder management skills.</p></li><li><p>Ability to manage multiple projects and meet deadlines.</p></li></ol><br><p>Preferred</p><ul><li><p>Experience in <strong>Finance, Retail, and Supply Chain (SCM)</strong> domains.</p></li><li><p>Knowledge of CRM, eCommerce, or other ERP integrations.</p></li><li><p>Odoo technical certification is an advantage.</p></li></ul>