1,101 to 1,125 of 1,294 Machine Learning Jobs in the UK

roles within energy trading, financial services, or commodity markets Deep understanding of trading systems, market data, and risk platforms Solid exposure to AI/ML deployment, data engineering, and cloud transformation Experience with regulatory compliance and cybersecurity in trading environments Master’s degree in Computer Science, Engineering, or a related … shape the technological future of a global energy leader Exposure to cutting-edge technologies and innovative projects Collaborative and diverse work environment Continuous learning and development opportunities Flexible working arrangements to support work-life balance Comprehensive health and wellness benefits Pension scheme and employee share ownership programs Opportunity ...

llama, gpt etc. and OCR: textract, tesseract etc. Strong understanding of the use of neural networks, embeddings, transformers etc. Cloud platforms (AWS SageMaker, Azure ML; etc) Orchestration tools (e.g. Prefect; etc) Agentic toolkits (LangChain, LlamaIndex, AutoGen, Google Agentic Framework) Experience in productionizing AI applications. Strong programming skills in python … Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

solutions aligned to strategic business goals. Oversee end-to-end solution delivery across the data and AI lifecycle-from ingestion and modelling to ML development, deployment, and monitoring. Act as Delivery Manager for AIPX , ensuring robust data pipelines and high-quality data products aligned with architectural standards and business needs. … Provide technical leadership across data architecture, cloud infrastructure, and AI/ML capabilities . Collaborate with stakeholders to translate business requirements into actionable technical solutions , manage delivery risks, and prioritise backlogs. Establish and enforce engineering best practices , including DevOps/MLOps, coding standards, testing frameworks, and documentation. Design and deliver ...

understanding of prompt engineering, workflow design, and Gen- AI optimization , balancing latency, cost, quality, and accuracy trade-offs in production systems Solid grounding in ML/DL concepts , with hands-on experience applying frameworks such as PyTorch and/or TensorFlow , including embeddings and model fine-tuning where appropriate Experience … suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole ...

experimentation, rapid productization, and clear business accountability.Applied AI Delivery* Oversee the design and delivery of production AI systems - agentic workflows, LLM-powered co-pilots, ML inference pipelines, embedded into live front-office operations.* Ensure solutions integrate seamlessly with core systems and existing architectures.* Drive the transition from proof-of-concept … scalable, enterprise-grade deployment with measurable adoption and impact.Data & Platform Strategy* Own the Applied AI platform strategy, including real-time data pipelines, ML feature stores, model registries, and agentic runtime and control plane infrastructure.* Partner with relevant teams and stakeholders to ensure a coherent, governed AI foundation.Governance, Risk & Compliance* Accountable ...

notice periods (including up to 6 months) can be considered for the right candidate Key Responsibilities Lead end-to-end delivery of AI/ML and GenAI programmes: discovery, architecture, build, deployment and operationalisation. Act as the senior technical authority for clients, translating complex concepts into clear defined strategies … SageMaker and/or Bedrock). Strong software engineering practices: Python, APIs, containerisation, CI/CD, IaC, testing, observability and production support. Modern ML/GenAI approaches: feature engineering, model training, evaluation, RAG, prompt engineering, guardrails, and responsible AI. Data engineering fundamentals: pipelines, data quality, governance, and working with structured ...

performance cloud workflows. Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best-practice engineering processes. Preparing data for AI and ML – designing resilient architectures that ensure high-quality, accessible data for future AI initiatives. What You Will Need In The Role Of Data Engineer 3–5+ … Python for automation Solid understanding of star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/ ...

systems including power, thermal, and IT infrastructure R&D & Innovation Lead development of next‐generation capabilities including: Digital twin integration and simulation AI/ML‐driven analytics and optimization Advanced automation and control strategies Collaborate with strategic partners and technology providers to accelerate innovation Translate emerging technologies into practical, scalable … manner Additional Preferred Experience Experience with platform‐based product development and standardisation across multiple business units Experience with digital twins, simulation, or AI/ML applications in industrial systems Experience working with cloud platforms and hybrid architectures Experience collaborating with external technology partners and ecosystems PHYSICAL & ENVIRONMENTAL DEMANDS No special ...

advancements in AI, cloud-native architectures, data governance/security best practices, and how Alteryx integrates with modern cloud data warehouses and AI/ML workflows* Remain up to date on Alteryx solutions and features, competitive products, and emerging technologies while maintaining familiarity and adherence to all company methods … Python, R, Apache Spark or similar product or language are also a plus.* Strong knowledge of data analytics, data science, ETL processes, AI/ML workflows, automation, and model deployment within cloud environments. Proficiency in using Alteryx or similar data analytics tools is highly desirable.* Experience setting up data connectivity ...

capabilities serving all private markets asset classes - including core data services, cross-fund analytics, workflow automation, and API infrastructure. Lead initiatives in AI/ML-enabled product features, including document extraction (e.g., fund documents, LP agreements, investment memos), NLP-powered search, and intelligent alert systems. Own the investor data model … cross-functional environment. Bachelor's degree required; MBA, CFA, or technical graduate degree preferred. PREFERRED QUALIFICATIONS Experience building or scaling AI/ML-powered product features - particularly in document processing, NLP, or predictive analytics. Familiarity with private markets technology stack and leading vendor solutions (Allvue, Efront, Dynamo, iLEVEL, Juniper Square ...

We're hiring AI Engineers and Technical AI Leaders in Manchester A leading consulting and technology firm is growing its AI capability across financial services and they're looking for engineers who build things that ...

Responsibilities Evaluate emerging AI technologies with a clear focus on practical applicability and deployability. Investigate, develop, fine‐tune, evaluate, and benchmark AI/ML models. Design, build, and iterate on working prototypes, proof‐of‐concepts, and pilots. Assess AI approaches for scalability, reliability, cost, security, and operational feasibility. Make … present actionable recommendations to technical and non‐technical stakeholders. Mentor and coach junior team members. Essential Requirements 12+ years of experience in AI/ML engineering, or equivalent industry experience with at least 4 years in a technical lead position. Bachelor’s degree in Computer Science, AI/ML, Engineering ...

interns and help newer teammates ramp up. Where appropriate and not precluded by business considerations, publish and present on Amazon's behalf at top ML venues such as NeurIPS, ICLR, and MLSys. A day in the life You pick up a vision‐language model whose vision tower needs … hands of millions of customers, come build it with us. Qualifications Master's degree, or a PhD and experience in CS, CE, ML or related field Experience programming in Java, C++, Python or related language Experience in patents or publications at top‐tier peer‐reviewed conferences or journals Experience ...

Senior AI/ML Software Engineer (LLM Focus) Location: Guildford (office based role) Salary and benefits: £on experience + a truly outstanding package that includes an unrivalled holday entitlement. Role Overview Our client has tasked us to source a talented Senior level AI/ML Software Engineer with strong ...

LangChain · Semantic Kernel · Microsoft Fabric · Unity Catalog · Python · Terraform · Kubernetes · OpenTelemetry What We're Looking For 5+ years in software, data, and AI/ML with at least 4–5 years as a hands-on architect delivering production AI systems Proven delivery across at least two of: Azure AI Foundry … teams with equal credibility UK based and eligible to work in the UK Nice to Have Databricks certifications (Generative AI Engineer, Data Engineer Professional, ML Professional) AWS certifications (Solutions Architect Pro, ML Specialty, AI Practitioner) Exposure to regulated industries — BFSI, Healthcare, Pharma, Telecom Experience with knowledge graphs, multimodal ...

improve quality A track record of understanding, assessing, and embracing new tooling and trends within the software industry Experience building or integrating AI/ML‐powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context‐appropriate automated testing to inform software design choices … deadlines Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Driving innovation by proactively surfacing new technical approaches and product solutions Leading ...

Organisation Preply Locations: London, UK Application Deadline: 29 days remaining We power people’s progress. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. … closely with Analytics Engineering and Experimentation Platform to ensure correct instrumentation, trusted datasets, and a single source of truth. This role does not lead ML or Applied AI, which are separate functions. Ideal candidate has experience and led product, marketing and business analytics. Must at least product ...

Business Systems. You’ll define the vision, roadmap, and execution for capabilities that combine robust finance controls with modern engineering and AI - e.g., ML‐assisted reconciliations, anomaly detection, intelligent exception routing, and Gen‐AI powered tools for finance users. This is a high‐impact senior IC role; you will regularly …/journal automation, reconciliations, payouts) Demonstrated ability to translate complex accounting and regulatory requirements into scalable product designs Hands‐on experience with AI/ML or intelligent automation in business processes (e.g., matching, anomaly detection, NLP/GenAI assistants, rules + ML hybrids) Strong system‐thinking: comfortable with APIs, data ...

multinational organisations Familiarity with the design of operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling … workshop design capabilities including ability to influence senior stakeholders Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business ...

private sectors. Strong background in software development, system architecture, low code/no code and emerging technologies. Experience with cloud computing, AI/ML, cybersecurity, and scalable platforms. Excellent leadership, communication, and decision‐making skills. Strong understanding of agile methodologies, DevOps, and software lifecycle management. Experience in fundraising, investor relations … Classes, Discounted Private Health Cover, Eye Care Discounts. Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings Education Benefits: Learning Courses, Business Skills Training * Offered only to employees based in the UK. #J-18808-Ljbffr ...

based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management Hands-on experience with AI-assisted development tools … Strong knowledge of cloud AI and ML platforms and associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable ...

scale a high-performing team of 8 (including engineers and analysts) across the UK and US. Foster a culture of psychological safety, continuous learning, and high-velocity execution. Be A Strategic Partner: This team works closely with Product, Marketing and Trading - it’s not enough just to deliver … collaborate closely with core platform teams to ensure seamless data flow and governance. Qualifications Experience: 10+ years in Data Science, Analytics, or Applied ML, with at least 5 years of experience leading senior ICs and managers. Technical Profile: You possess an "analytics-heavy" background (roughly 75% analytics/25% data ...

Agile, DevOps, and cloud technologies, to deliver innovative solutions. About us Sussex Partnership NHS Foundation Trust is committed to delivering outstanding mental health and learning disability services. Our Digital Team is at the forefront of technological innovation, having recently completed a comprehensive infrastructure modernisation programme. You'll work … field. Desirable MA/MSc in a related subject or discipline. Previous NHS experience and knowledge of NHS data standards. Experience with AI/ML applications and cloud-based database technologies. Experience of training others in areas of personal competence. Disclosure and Barring Service Check This post is subject ...

agentic organizations Qualifications Proven experience leading high-performing engineering teams delivering complex, production-grade AI or data-driven systems Strong hands-onexpertisein AI/ML, LLMs, or agentic AI systems, with the ability to assess technical quality and guide solution design Track recordof taking AI or advanced technology solutions from … Private medical care scheme Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr ...

This is founding-engineer territory. The team is small, the problem is unsolved, and the market is massive. You're not joining a machine that's already running. You're building it. The architecture decisions you make in the next 6 months will define the platform for years. … just ship features. Experience in financial markets, algo-trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source ...