Python Developer Jobs in UAE

<ul><li><p>Develop and execute comprehensive test plans and test cases to validate product functionality and performance against specifications.</p></li><li><p>Identify, document, and track software defects using bug tracking systems, collaborating with development teams for timely resolution.</p></li><li><p>Design and implement automated testing frameworks and scripts to enhance testing efficiency and coverage for regression and functional testing.</p></li><li><p>Conduct thorough root cause analysis of defects, providing detailed reports and recommendations for process improvements.</p></li><li><p>Interior Fit-Out/Construction UAE Experience Mandatory Hands-on Experience in QA/QC Processes, ITPs, Material Inspections & NCR Management</p></li><li><p>Knowledge of UAE Quality Standards, Material Specifications & Consultant Approval Procedures is an Added Advantage</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Engineering, or a related technical field.</li><li>Minimum of 3-5 years of proven experience in Quality Assurance or Quality Control engineering.</li><li>Proficiency in at least one programming language (e.g., Python, Java, C#) for test automation.</li><li>Experience with test automation tools such as Selenium, Appium, or Cypress.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We're building a network of exceptional professionals for upcoming enterprise-scale technology,&nbsp;<strong>AI, digital transformation, and energy sector initiatives&nbsp;</strong>across the UAE and the wider GCC. Whether you're actively exploring new opportunities or simply interested in staying connected, we'd love to hear from you. By joining our Talent Community, you'll be considered for future projects and permanent opportunities across a range of high-impact programmes.<br> <br> Areas of Expertise: <strong>Product Engineering</strong> <ul> <li>Solution Architects </li><li>Backend Engineers </li><li>Front-End Engineers </li><li>Full Stack Engineers </li><li>UI/UX Designers </li><li>Infrastructure Engineers (SRE/AIOps) </li></ul> <p><strong>Skills of interest</strong> Cloud Platforms, Kubernetes, Python, Node.js, Angular, Microservices, DevOps, Terraform, CI/CD, Observability, Platform Engineering.<br> &nbsp;</p><br><br> <p><strong>Why Join Our Talent Community?</strong></p><br><br> <p>✅ Be considered for upcoming opportunities before they are publicly advertised<br> ✅ Connect with projects across AI, Technology, Energy and Digital Transformation<br> ✅ Receive updates on relevant opportunities matching your expertise<br> ✅ Build a relationship with our specialist recruitment team<br> ✅ Participate in future contract, consulting and permanent opportunities</p><br><br> <br><br> </div>

Senior Manager - ML & AI Safety United Arab Emirates Permanent Position<br>We are looking for a Senior Manager to help lead AI safety and readiness projects for a bank in the UAE. <br>You will be a key player between business and technical, ensuring the safety and security of the businesses AI solutions. <br>Your responsibilities:Gen AI Evals and Guardrails Predictive Machine Learning Stakeholder Management: AI project teams/ AI CoE members Policies, Processes, Systems and Procedures Identify opportunities within the AI roadmap<br>Experience needed:Experience in banking or financial services7+ years in ML or Data Science Python code proficiency XAI libraries LLM evaluation frameworks (e.g., Ragas, Giskard, Arize) Systems Design Leadership and management<br>Industry Banking or FS<br>Degree MSc or PhD in Com Sci, Data Science, Statistics or related field. *Must have a degree to apply for this job*<br>Package Tax free salary & bonus Visa + family Medical insurance + family Relocation allowances (if relocating from overseas)<br>**Due to the high volume of applicants, only candidates with the above experience will be contacted**

Role: Engineering Manager (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an Engineering Manager to lead the development of high-quality, foundational large language models through supervised fine tuning and reinforcement learning from human feedback tasks.<br>Key Responsibilities:• Lead and manage teams of 20+ Python, Java Script, Java, and other language developers to execute technical tasks effectively.• Collaborate closely with researcher clients to ensure satisfaction with delivered work.• Maintain rigorous review processes to ensure the highest quality of datasets.• Oversee project transitions from initiation to stable states, taking full responsibility for delivery.• Identify and implement measures to enhance the quality of code within the team.<br>Required Skills & Qualifications:• 8+ years of professional software engineering experience, including 3+ years in an engineering management role.• Proven experience managing large technical teams in a delivery-oriented role.• Experience with Python or Java and Java Script.• Demonstrated ability to engage in hands-on technical work, identifying and resolving quality issues.• Excellent leadership and people management skills, with a focus on motivating teams.<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 transformation of AI systems from proof of concept into proprietary intelligence with measurable impact.<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"><strong>About the Role:</strong><br><p>We are seeking a detail-oriented Risk Analyst to join our team in Saudi Arabia. In this role, you will identify, assess, and monitor operational and financial risks, deliver data-driven insights, and work closely with internal and external stakeholders to drive risk mitigation strategies and regulatory compliance.</p><br><strong>Responsibilities:</strong><br><ul><li>Conduct comprehensive risk assessments and scenario analyses using quantitative and qualitative methodologies</li><li>Develop, maintain, and enhance risk models and reporting tools to track key risk indicators</li><li>Prepare timely risk reports and presentations for senior management and regulatory bodies</li><li>Collaborate with business units and stakeholders to identify risk exposures and implement mitigation plans</li><li>Monitor changes in regulatory requirements and ensure compliance with local and international regulations</li><li>Support the development and implementation of risk management policies, procedures, and controls</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>2–5 years of experience in risk analysis, financial auditing, or related fields</li><li>Bachelor’s degree in Finance, Economics, Risk Management, or a related discipline</li><li>Proven experience with risk analysis methodologies and technical tools</li><li>Strong reporting skills, including data extraction and presentation using Excel or risk management software</li><li>Excellent stakeholder management and communication skills, both written and verbal</li><li>Sound understanding of Saudi Arabian regulatory frameworks and industry best practices</li><li>Demonstrated analytical thinking and problem-solving abilities</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Professional certification such as FRM, PRM, or CFA</li><li>Experience in banking, energy, or oil and gas sectors</li><li>Familiarity with local regulatory authorities (SAMA, CMA)</li><li>Hands-on experience with SQL, Python, or data visualization tools (Power BI, Tableau)</li></ul><br></div></section>

<p>Builds and validates predictive and generative models, and turns data into decisions clients can act on.&nbsp;</p><p>&nbsp;</p><p><strong>What you'll do&nbsp;</strong></p><ul><li>Design and validate machine learning models for prediction, classification, and forecasting&nbsp;</li><li>Partner with engineering to move models from notebook to production&nbsp;</li><li>Analyze structured and unstructured data to surface insight for client decisions&nbsp;</li><li>Build and maintain the data pipelines that feed AI models&nbsp;</li><li>Present findings and model performance clearly to technical and non-technical stakeholders&nbsp;</li></ul><p>&nbsp;</p><p><strong>What you bring&nbsp;</strong></p><ul><li>3+ years in data science or applied machine learning, with a quantitative degree or equivalent experience&nbsp;</li><li>Strong Python (pandas, scikit-learn) and SQL&nbsp;</li><li>Experience with a deep learning framework such as PyTorch or TensorFlow&nbsp;</li><li>Solid grounding in statistical methods and experiment design&nbsp;</li><li>Ability to explain findings clearly to non-technical audiences&nbsp;</li></ul>

Role: AI Trainer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a LLM Trainer - Agent Function call to enhance large language models by generating high-quality proprietary data for fine-tuning and evaluation. The role involves simulating multi-turn conversations where AI assistants use function-calling tools to accomplish user goals.<br>Key Responsibilities:• Design multi-turn conversations simulating real interactions between users and AI assistants using tools like calendar, email, maps, and drive.• Emulate both user and assistant roles, including assistant tool calls when corrections are required.• Select when and how assistants use available tools to ensure logical flow and proper function call usage.• Craft dialogues demonstrating natural language, intelligent behavior, and contextual understanding across multiple turns.• Iterate on conversation examples based on feedback to improve realism, clarity, and training value.<br>Required Skills & Qualifications:• Proficiency in Python, Java, or Java Script for scripting and data generation tasks.• Experience with multi-turn dialogue design and natural language simulation.• Ability to emulate AI assistant behavior, including tool use and function calls.• Familiarity with formatting guidelines and quality standards for training data.• Strong attention to detail in crafting realistic and coherent interactions.<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 advancement of frontier AI model capabilities.<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"><p>Card Fraud Model Development &amp; Optimization Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, machine learning, and AI techniques to improve fraud detection accuracy and precision and minimizing false positives. Model Hosting &amp; Deployment Deploy models using SAS SFD and integrate with production systems. Ensure seamless hosting and scalability of models across multiple environments. MLOps &amp; Automation Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models. Automate model retraining and performance tracking processes. Evaluation &amp; Testing Conduct rigorous model validation, stress testing, and performance benchmarking. Collaborate with fraud operations teams to ensure models meet business and regulatory requirements. Collaboration &amp; Stakeholder Management Partner with fraud risk, data engineers, IT and business teams to deliver end-to-end solutions. Communicate insights and recommendations to senior management and business stakeholders.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related field. Technical Skills Strong proficiency in SAS (including SAS SFD), Python, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit- learn). Hands-on experience with MLOps tools and practices (e.g., MLflow,Kubeflow, CI/CD pipelines). Deep understanding of card fraud detection techniques and transaction data. Experience 7+ years in data science roles, with at least 3 years in card fraud modeling. Proven track record of deploying models in production environments. Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. <strong>Preferred Qualifications</strong> Experience in banking or payments industry. Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting and deployment. Knowledge of regulatory compliance in fraud risk management.</p><p></p></section>

Role: Software Engineer (Human Data Platforms) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $140K - $220K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Software Engineer (Human Data Platforms) to work on a full-time basis. The role involves designing, developing, and maintaining scalable data platforms that process and analyze human-generated datasets. The position requires expertise in handling large-scale data infrastructure while ensuring performance, reliability, and security.<br>Key Responsibilities:• Design, build, and optimize data pipelines to process human-generated datasets at scale.• Develop and maintain backend services that support real-time and batch data processing.• Collaborate with data scientists and analysts to ensure data integrity and accessibility.• Implement monitoring, logging, and alerting systems to maintain platform reliability.• Contribute to architectural decisions that enhance scalability and performance of data systems.<br>Required Skills & Qualifications:• Proficiency in Python, Java, or Go for backend development.• Experience with distributed systems, including Kafka, Spark, or similar technologies.• Knowledge of cloud platforms such as AWS, GCP, or Azure for data infrastructure.• Familiarity with SQL and NoSQL databases for data storage and retrieval.• Understanding of data governance, security, and compliance best practices.• Ability to design and optimize data pipelines for performance and scalability.• Experience with containerization and orchestration tools like Docker and Kubernetes.• Strong problem-solving skills and attention to detail in debugging complex systems.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the development of robust data platforms that power critical business decisions. The position involves solving complex technical challenges in a collaborative, distributed team 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!

Role: Vulnerability Researcher (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $240K - $400K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Vulnerability Researcher to work on a full-time basis. The role involves conducting deep technical analysis to identify software vulnerabilities across systems and applications. Responsibilities include reverse engineering, code analysis, and threat modeling to assess potential security risks.<br>Key Responsibilities:• Perform static and dynamic analysis of software to detect vulnerabilities in codebases and infrastructure.• Develop proof-of-concept exploits to validate identified vulnerabilities and assess their impact.• Collaborate with engineering teams to triage and prioritize security findings for remediation.• Research emerging threats, attack vectors, and zero-day vulnerabilities in relevant technologies.• Document findings, including technical details, risk assessments, and mitigation recommendations.<br>Required Skills & Qualifications:• Proficiency in programming languages such as C, C++, Python, or Go for vulnerability analysis and exploitation.• Experience with reverse engineering tools like IDA Pro, Ghidra, or Binary Ninja.• Knowledge of common vulnerability types, including buffer overflows, race conditions, and injection flaws.• Familiarity with network protocols, operating systems internals, and memory corruption techniques.• Hands-on experience with fuzzing tools like AFL, Lib Fuzzer, or Honggfuzz.• Understanding of secure coding practices and secure development lifecycle methodologies.• Ability to produce clear, technical reports for stakeholders at varying levels of expertise.<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 enhanced security posture and risk mitigation for critical systems. The position involves direct collaboration with cross-functional teams to drive improvements in security architecture and incident response.<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: EMember of Technical Staff - Enterprise AI (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Enterprise AI to work on a full-time basis. The role involves designing, building, and deploying scalable AI systems for enterprise environments. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing technical infrastructure.<br>Key Responsibilities:• Develop and optimize AI models for enterprise applications, focusing on performance, scalability, and reliability.• Design and implement machine learning pipelines to support data ingestion, processing, and model training.• Collaborate with software engineers to integrate AI components into production systems and APIs.• Evaluate and select appropriate AI frameworks and tools to meet business and technical requirements.• Maintain documentation for AI systems, including architecture diagrams, model specifications, and deployment procedures.<br>Required Skills & Qualifications:• Bachelor's or advanced degree in Computer Science, Engineering, or a related quantitative field.• 5+ years of experience in software development with a focus on AI or machine learning applications.• Proficiency in Python, with experience in frameworks such as Tensor Flow, PyTorch, or JAX.• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model deployment and monitoring.• Strong problem-solving skills and ability to design end-to-end AI solutions for complex enterprise challenges.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Information Services industry, contributing to the development of cutting-edge AI technologies that drive business transformation. The position provides exposure to high-impact projects and the chance to shape the future of enterprise AI solutions.<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: Technical Recruiter (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $300K/yr<br>Role Overview:This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing, screening, and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions.<br>Key Responsibilities:• Design, implement, and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency.• Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis.• Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs.• Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics.• Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows.<br>Required Skills & Qualifications:• Proficiency in Python, including experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong background in natural language processing, including experience with libraries such as spa Cy or Hugging Face.• Experience building and deploying scalable AI systems in production environments.• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.• Knowledge of SQL and NoSQL databases for data extraction and integration.• Understanding of ethical AI principles and bias mitigation techniques in recruitment systems.• Experience with RESTful APIs and microservices architecture.• Background in data pipeline development and ETL processes.<br>More About the Opportunity:This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology.<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"><ol><li><p>Advanced Agentic Orchestration</p></li></ol><ul><li><p>Design and implement complex, stateful multi-agent systems</p></li></ul><p>using LangGraph or CrewAI.</p><ul><li><p>Build "Agentic RAG" pipelines that utilize LlamaIndex or Haystack or similar for</p></li></ul><p>advanced reasoning over structured and unstructured datasets.</p><ul><li><p>Implement custom tool-calling logic and Model Context Protocol (MCP) integrations</p></li></ul><p>to connect agents with internal databases and APIs.</p><ol><li><p>AI Safety &amp; Governance (The Guardrails Layer)</p></li></ol><ul><li><p>Architect a unified "Safety Perimeter" using Guardrails AI or NVIDIA NeMo Guardrails or similar.</p></li><li><p>Develop real-time monitoring and observability for LLM inputs/outputs using Arize</p></li></ul><p>Phoenix, LangSmith (OSS version), or MLflow or similar.</p><br><p> Must-Have Open Source Expertise Languages Expert-level Python (asyncio, Pydantic v2) and TypeScript/Node.js. Orchestration LangGraph, CrewAI, or AutoGen (OSS SDK). Inference/Serving vLLM, Hugging Face TGI, or Seldon Core. Safety &amp; Trust Guardrails AI, NeMo Guardrails, or Meta Llama Guard. Vector Databases Milvus, Weaviate, Qdrant, or ChromaDB. Observability Arize Phoenix, OpenTelemetry, or Prometheus/Grafana. Infrastructure Docker, Kubernetes (K8s), and Terraform/Pulumi.</p><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Experience Level: Senior (6+ Years in Software Engineering, 2+ Years in GenAI) Stack Focus: LangGraph, CrewAI, Guardrails AI, React, Kubernetes</p><p></p></section>

Role: Member of Technical Staff - Medical Research (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $350K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Medical Research to work on a full-time basis. The role involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals.<br>Key Responsibilities:• Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support.• Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions.• Publish findings in academic journals and present results at conferences to advance the state of medical research.• Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.• Contribute to the development of internal tools and frameworks that accelerate medical research workflows.<br>Required Skills & Qualifications:• PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications.• Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data.• Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.g., Tensor Flow, PyTorch, scikit-learn).• Experience with medical imaging data (e.g., MRI, CT, X-ray) and relevant toolkits (e.g., ITK, Simple ITK, MONAI).• Strong publication record in peer-reviewed medical or AI research journals.• Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance (e.g., HIPAA, GDPR).• Ability to work in a fast-paced research environment with iterative development cycles.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in medical diagnostics and treatment optimization. The position combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions.<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!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><br>This is a hands-on role where you will design, build, and maintain scalable cloud infrastructure on AWS, taking full ownership of CI/CD pipelines and infrastructure automation.<br><br> <br><br>Client Details<br><br>Our client is a forward-thinking organisation focused on building innovative, technology-driven solutions within a sophisticated investment environment. They operate at the intersection of digital product development, engineering excellence, and AI-led innovation, driving impactful outcomes across global markets.<br><br>Description<br>Build and optimise AWS infrastructure (EKS, Lambda, EC2, S3, RDS) for scale and reliabilityOwn CI/CD pipelines using GitLab, implementing automated testing and deploymentsEmbed DevSecOps practices including security scanning, IAM controls, and secrets managementDevelop Infrastructure as Code using Terraform and CloudFormation for repeatable environmentsEnhance observability through monitoring, alerting, and logging frameworks<br><br><br>Profile<br>5+ years' experience in DevOps, SRE, or platform engineering on AWSStrong programming skills in Python and/or Go, with solid Linux expertiseProven experience with Docker, Kubernetes (EKS), GitLab CI/CD, and IaC toolsDeep understanding of cloud security, networking, and performance optimisationExperience with observability tools (Prometheus, Grafana, CloudWatch) and distributed systems<br><br><br>Job Offer<br>Opportunity to work on cutting-edge AI and data-driven platformsLong-term growth within a high-performing, innovation-focused team<br><br> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills">AWS<br> </div>

<p>Please DO NOT APPLY if you do not meet the necessary qualifications or does not have a working experience with cryptoexchange, brokerage or trading!! </p><br><p>The Dealing Specialist is responsible for the day-to-day trading and dealing operations of a cryptocurrency exchange and OTC platform. This role executes client orders, monitors transaction flows for both crypto and fiat assets, oversees liquidity provider activities, performs reconciliations, and prepares operational reports. Working closely with the Head of Dealing, the specialist helps ensure efficient trading operations, operational integrity, regulatory compliance, and continuous process improvement. </p><br><ul><li><p>Monitor order books and ensure the integrity of active markets.</p></li><li><p>Oversee order flow and execution across trading venues and liquidity providers.</p></li><li><p>Ensure adequate liquidity across trading pairs and escalate liquidity concerns when necessary.</p></li><li><p>Execute and price client orders through approved liquidity providers.</p></li><li><p>Conduct daily trade validation and verify the accuracy of executed transactions.</p></li><li><p>Perform reconciliations between trading activity, client balances, and internal systems.</p></li><li><p>Support market-making activities and monitor liquidity during periods of increased market volatility.</p></li><li><p>Identify and escalate suspicious trading patterns or unusual transactions to the Compliance and Risk teams.</p></li><li><p>Prepare daily dealing reports, trading logs, and operational performance summaries.</p></li><li><p>Assist in resolving operational incidents to minimize trading disruptions.</p></li><li><p>Support the launch of new digital assets by evaluating operational readiness, liquidity, scalability, and profitability.</p></li><li><p>Contribute to process improvements that enhance operational efficiency and trading performance.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Finance, Economics, Business, Statistics, Computer Science, Engineering, or another STEM-related discipline.</p></li><li><p><strong>1–3 years of experience within a cryptocurrency exchange, brokerage, trading desk, or similar financial markets environment.</strong></p></li><li><p>Strong understanding of order books, market structure, pricing dynamics, and trade execution.</p></li><li><p>Knowledge of market making concepts and liquidity management.</p></li><li><p>Experience working with trading dashboards, reporting tools, and trade reconciliation processes.</p></li><li><p>High attention to detail with strong analytical and problem-solving skills.</p></li><li><p>Excellent communication and teamwork abilities.</p></li><li><p>Commitment to compliance, operational excellence, and regulatory standards.</p></li><li><p>Willingness to work rotational shifts in a 24/7 trading environment and be based on-site.</p><br></li></ul><p>Preferred</p><ul><li><p><strong>3–5 years of experience in a cryptocurrency exchange or brokerage trading environment.</strong></p></li><li><p>Master's degree in a relevant discipline.</p></li><li><p>CFA Level I (or higher) or equivalent professional certification.</p></li><li><p>Strong understanding of pricing strategies, risk management, high-frequency or algorithmic trading, asset pricing, and stochastic processes.</p></li><li><p>Programming experience with Python, C++, R, or other relevant languages.</p></li><li><p><strong>Experience working with REST APIs, FIX Protocol, Order Management Systems (OMS), and trading platform integrations.</strong></p></li></ul><p>Reports directly to the Head of Dealing.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description We are seeking a Palantir Foundry &amp; AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP. Responsibilities · Data &amp; Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry. · AIP &amp; AI Enablement: Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents. Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content. Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology. Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features. · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications. · User Engagement: Provide training and support for business teams adopting Foundry and AIP. · Governance &amp; Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI. · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation. Skills Must have Minimum 10 Years of experience in IT/Data. Minimum 5 years of experience as a Data Platform Engineer/Data Engineer. · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications). · Strong technical skills in Python, PySpark, SQL, and data modelling. · Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications. · Ability to work independently and engage directly with non-technical business users. · Strong problem-solving mindset and ownership of delivery. Nice to have · Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing). · Exposure to AIP Evals and evaluation/test-driven approaches. · Experience with integration patterns (APIs, MCP, cloud services). · Consulting or applied AI/ML background. · Experience in Abu Dhabi or the broader MENA region. Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p><b>Discover the Opportunity</b></p><br><p>We’re partnering with a major government entity in Abu Dhabi that is building next- generation AI capabilities to power large-scale, real-world systems across the public sector.<br>This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities. The team is focused on leveraging cutting-edge technologies including large </p><br><p>language models, retrieval systems, and agent-based workflows to deliver scalable, production-grade solutions.</p><br><p><br>This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI-driven systems that operate at national scale.</p><br><p><b><br>Discover the Role</b></p><br><p>As an Applied AI Engineer, you will design and deliver end-to-end AI-powered applications, working at the intersection of AI engineering, software development, and product delivery.</p><br><p>You will take ownership of building robust, production-ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions. This role requires strong hands-on engineering expertise combined with a deep understanding of how to operationalise AI in real-world environments.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p>Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools.</p><br></li><li><p>Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration.</p><br></li><li><p>Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation.</p><br></li><li><p>Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms.</p><br></li><li><p>Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality.</p><br></li><li><p>Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics.</p><br></li><li><p>Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities.</p><br></li><li><p>Collaborate with cross-functional teams to deliver reliable, high-performance AI systems.</p><br></li></ul><p><b><br>Discover the Requirements</b></p><br><ul><li><p>7+ years of experience in applied AI, machine learning engineering, or software engineering roles.</p><br></li><li><p>Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation.</p><br></li><li><p>Proven experience building and deploying AI/ML systems in production environments.</p><br></li><li><p>Hands-on experience working with large language models and deploying LLM- powered applications.</p><br></li><li><p>Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour.</p><br></li><li><p>Experience designing scalable, reliable, and high-performance systems.</p><br></li></ul><p><b>Discover the Desired.</b></p><br><ul><li><p>Experience building RAG systems end-to-end, including retrieval pipelines and vector search.</p><br></li><li><p>Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, or similar.</p><br></li><li><p>Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection.</p><br></li><li><p>Exposure to conversational AI systems, including speech or real-time interaction pipelines.</p><br></li><li><p>Experience working with modern AI inference infrastructure and deployment environments.</p><br></li></ul><br> </div>

Role: Member of Technical Staff - Medical Research (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $350K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Medical Research to work on a full-time basis. The role involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals.<br>Key Responsibilities:• Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support.• Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions.• Publish findings in academic journals and present results at conferences to advance the state of medical research.• Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.• Contribute to the development of internal tools and frameworks that accelerate medical research workflows.<br>Required Skills & Qualifications:• PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications.• Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data.• Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.g., Tensor Flow, PyTorch, scikit-learn).• Experience with medical imaging data (e.g., MRI, CT, X-ray) and relevant toolkits (e.g., ITK, Simple ITK, MONAI).• Strong publication record in peer-reviewed medical or AI research journals.• Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance (e.g., HIPAA, GDPR).• Ability to work in a fast-paced research environment with iterative development cycles.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in medical diagnostics and treatment optimization. The position combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions.<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!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><u>Senior BI Developer</u></strong> <ul> <li>2 Year extendable contract </li><li>Abu Dhabi | Office Based </li></ul> <p>Our client is undergoing a large-scale digital and data transformation and is seeking an experienced <strong>Senior BI Developer</strong> to help drive data-driven decision-making across the organization. This is an opportunity to work with modern analytics platforms, build high-impact dashboards, and translate complex datasets into meaningful business insights.&nbsp;</p><br><br> <p>The ideal candidate combines strong technical expertise with a passion for data storytelling, enabling stakeholders to make informed decisions through intuitive and actionable visualizations.&nbsp;</p><br><br> <u><strong>Role Purpose</strong></u> <p>This role goes beyond traditional report development. You will be responsible for designing and delivering insightful, narrative-driven dashboards that communicate the story behind the data and support strategic and operational decision-making. You will play a key role in transforming complex information into clear, actionable insights for business leaders.&nbsp;</p><br><br> <u><strong>Key Responsibilities</strong></u> <ul> <li>Design and develop impactful dashboards and reports using Power BI and other BI visualization tools. </li><li>Create engaging visual experiences that present complex data in a clear and actionable way. </li><li>Apply best practices in data visualization and dashboard design to enhance user adoption and business value.&nbsp; </li><li><span>Own the end-to-end BI development lifecycle, from data preparation and modeling through to dashboard deployment and optimization.</span> </li><li>Develop scalable and maintainable reporting solutions that meet business requirements. </li><li>Ensure data accuracy, consistency, and performance across reporting environments.&nbsp; </li><li>Build and optimize semantic models to support enterprise-wide self-service analytics. </li><li>Design efficient data models that enable consistent reporting and performance at scale.&nbsp; </li><li>Work within an Agile/Scrum framework to deliver high-quality reporting and analytics solutions. </li><li>Collaborate closely with business stakeholders, product owners, and technical teams to deliver value in iterative releases. </li><li>Gather requirements and translate business challenges into technical solutions. </li><li>Present analytical insights and recommendations to both technical and non-technical audiences. </li><li>Partner with stakeholders to understand reporting needs and continuously improve analytical capabilities. </li></ul> <u><strong>Skills &amp; Experience</strong></u> <u>Required</u> <ul> <li>5-7 years of experience in Business Intelligence, Analytics, or Reporting development. </li><li>Expert-level experience with <strong>Power BI</strong>, including dashboard development, DAX, and data modeling. </li><li>Strong SQL skills with experience writing complex and optimized queries. </li><li>Experience working with large-scale data platforms such as <strong>Databricks</strong>. </li><li>Proficiency with Python for data analysis and transformation. </li><li>Strong understanding of semantic modeling and self-service BI principles. </li><li>Demonstrated ability to create business-focused, narrative-driven dashboards. </li><li>Excellent communication and stakeholder management skills. </li><li>Experience working in Agile development environments </li></ul> <br><br> </div>