351 to 375 of 1,247 Machine Learning Jobs in the UK

Role: ML Engineer Type: 12 months Contract Location London, UK(2 days per week) We are looking for a high-caliber AI Engineer to join a global leader in the Insurance and Fintech space. You won't just be building chatbots; you will be designing and orchestrating Autonomous Agentic Systems … privacy. Performance Tuning: Optimize data workflows for maximum scalability and cost-efficiency. Insurance Domain experience is added advantage. Your Technical Toolkit AI/ML: Expert proficiency in Python , PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone ...

fast-growing AI startup building an agentic, real-time decision engine that optimises customer interactions for measurable profit. Our platform blends advanced machine learning, deep learning, and reinforcement optimisation to decide the best action, message, or offer for every customer, automatically and at scale. We operate where … clean, usable UIs for complex products Good understanding of modern front-end engineering practices (components, state management, testing, performance) Genuine interest in AI/ML products and how users interact with them Hands-on experience using AI coding tools (e.g., Codex, Claude, Copilot, Cursor) to build or ship frontend features ...

/ML Infrastructure Engineer (MLOps) – Robotics - Hybrid in Bristol We’re working with a cutting-edge robotics company building intelligent systems capable of learning real-world physical tasks. They’re now hiring an AI/ML Infrastructure Engineer to own the end-to-end infrastructure that powers model training … machine learning, distributed systems, and robotics - not a generic MLOps position. Key Responsibilities: Build and scale GPU-based training infrastructure for large ML workloads Develop robust data pipelines for multi-modal datasets Own experiment tracking, model versioning, and reproducibility Design and optimise model deployment pipelines (including edge inference ...

value through AI. What You’ll Own: AI & Technology Strategy Define and execute the division’s technology roadmap, with a strong emphasis on AI, ML, and data platforms. Drive innovation in AI‐powered customer capabilities (e.g., personalization, predictive analytics, automation). Evaluate and integrate emerging technologies (LLMs, generative AI, real … customer value. Product & Platform Ownership Own the architecture, scalability, and reliability of the AI‐driven customer platform. Ensure high availability, performance, and accuracy of ML models in production. Balance experimentation with production stability. Engineering & AI Execution Lead cross‐functional teams across engineering, data science, and ML engineering. Establish best practices ...

clear goals and outcomes. Document findings thoroughly and hand over validated work to the wider development team. Demonstrable knowledge and experience in data mining, machine learning (including deep learning), generative AI (e.g., with Retrieval-Augmented Generation), and reinforcement learning. Software Development & Delivery Design, develop, test and maintain ...

innovation. The Chief Data and Analytics Office is responsible for building enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development ...

days per week in-office) Salary: Up to £90,000 base + benefits Type: Full-time Overview We’re hiring a Senior AI/ML Engineer to join a fast-growing SaaS business working on large-scale, real-world AI problems. The team processes billions of data points daily … strong ownership, focused on building new AI‐driven product capabilities from early experimentation through to production. Responsibilities Design, prototype, and launch new AI/ML capabilities with clear customer impact. Translate product and customer needs into experiments, POCs, and production solutions. Build and operate scalable, production-grade ML systems. Work ...

systems Evaluate and apply cutting-edge academic research to real-world financial problems Work closely with quant researchers, engineers, and senior stakeholders to embed ML into core decision-making Help build and mentor a growing research team Requirements Published research in peer-reviewed venues such as IEEE, ICML, NeurIPS, ICLR … equivalent Deep expertise in time series modelling - financial data experience strongly preferred Proven end-to-end ML experience: data pipelines, model development, deployment, and monitoring Strong Python and ML engineering skills (PyTorch or JAX) PhD in ML, Statistics, Computer Science, or related field (or equivalent research output) Ability to communicate ...

data products, ensuring high quality outputs for clients and internal stakeholders. The Role: You will sit within the Machine Learning team, helping ML engineers to deliver high-quality production models and data products through testing, analysis, validation and operational support. You’ll work across analysis, testing, validation … Perform testing and validation of new fields, logic changes and product releases. • Investigate data quality issues and support root cause analysis with Engineering and ML teams. • Write SQL and Python queries/scripts to interrogate data and automate checks. • Support internal stakeholders and clients with product queries, incidents and data ...

data products, ensuring high quality outputs for clients and internal stakeholders. The Role: You will sit within the Machine Learning team, helping ML engineers to deliver high-quality production models and data products through testing, analysis, validation and operational support. You’ll work across analysis, testing, validation … Perform testing and validation of new fields, logic changes and product releases. • Investigate data quality issues and support root cause analysis with Engineering and ML teams. • Write SQL and Python queries/scripts to interrogate data and automate checks. • Support internal stakeholders and clients with product queries, incidents and data ...

collaborative. Comfortable on fast-moving projects. Motivated by solving complex real-world challenges across technical and non-technical teams. Key Responsibilities Develop and deploy ML solutions for real-world operational data Work on multi-source, multi-modal sensor-driven systems Build and optimise edge-to-cloud analytics pipelines Apply signal … processing, computer vision and sensor fusion to complex datasets Collaborate with engineering, product and customer-facing teams Contribute to ML model decisions, deployment architecture and system performance Optimise solutions for high-stakes environments where reliability is critical Required Skills Strong background in ML Engineering or Data Science Experience with sensor ...

proficiency (Git) all analytical work should be reproducible and code-reviewed Statistical & Analytical Foundation Postgraduate qualification (Master's or equivalent) in Statistics, Applied Mathematics, Machine Learning, Data Science, or a closely related quantitative field or demonstrated equivalent experience Deep understanding of statistical inference, uncertainty quantification, and the practical ...

Engineer (LLMs, Agents, MCP, ML) Location: Remote (UK) Salary: £80,000 – £100,000 Neulinx have partnered with a global SaaS platform in the hospitality and travel space, who are hiring an AI Engineer into a high-impact role. The business is widely recognised as one of the UK’s leading … They’re Looking For Hands-on experience with LLMs in real-world applications Experience with either: AI agents, MCP services and advanced workflows, or ML/deep learning models (e.g. pricing, analytics) Strong engineering capability, ideally with Python and AWS Experience integrating AI into existing products or platforms ...

with clients.* Develop compelling narratives around IQVIA’s newest AI solutions and systems.### ### **Project Leadership & Delivery*** Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources.* Manage cross‐functional teams to ensure high‐quality, on‐time … solutions using state‐of‐the‐art platforms.* Lead multidisciplinary teams combining industry, technical, and functional expertise.* Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies.* Collaborate with external technology partners for successful delivery.### ### **Practice Building*** Shape and scale a new AI Life Sciences practice, including defining ...

/CD pipelines (e.g., Azure DevOps) and infrastructure-as-code tools (e.g., Terraform) Familiarity with modern data platforms such as Snowflake Exposure to machine learning/AI workflows and related tooling Strong familiarity with Python libraries and developer tooling Nice to Have Experience in investment or financial services ...

frameworks and tools. Experience with real-time data processing and streaming architectures. Basic understanding of machine learning concepts and how to operationalize ML models. ...

Python ML Engineer Location: Glasgow (onsite 3 days per week) Duration: 12-months Day rate: £450 PAYE We are seeking an experienced Python ML Engineer to join a global enterprise technology team supporting critical infrastructure and automation initiatives within a leading financial services environment. In this role, you will design … working in both greenfield and legacy environments and capable of solving complex technical challenges independently. Key requirements include: * Strong Python programming skills * Experience with machine learning technologies * Hands-on experience with message queue technologies such as Kafka, RabbitMQ, or Celery * Proven ability to build REST API services * Excellent ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data … Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data … Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production ...

work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration.**About the Role**As a **Senior Principal Data Scientist**, you will contribute deep technical expertise while helping shape best practices across … Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection* **Deployment Experience*** Proven track record of deploying or partnering on **customer-facing production ML systems**.* Proficiency in Python and SQL (experience with distributed or cloud‐based data platforms is a plus)* Ability to communicate technical ideas clearly ...

sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career … Full Stack Developer, Distributed Systems, Microservices, Kubernetes, Docker, AWS, Azure, Infrastructure as Code, Agile, Scrum, Linux, Cybersecurity, Network Security, Real-Time Systems, Data Engineering, Machine Learning, Artificial Intelligence, Signal Processing, RF Systems, Simulation, Test Automation, Integration Engineer, Technical Consultant, Public Sector, Government Technology, Defence Technology ...

environments. The Role Youll act as a technical specialist and team lead, delivering innovative machine learning solutions: Building and deploying LLMs and ML models (cloud or HPC) Leading technical delivery across projects Driving adoption of GenAI, RAG, and agent-based systems Acting as the SME for ML engineering ...

front-end web applications for Cairn Discover, analyse, and present findings to users and stakeholders Build, maintain, and support our wider data platform, machine learning and AI solutions using the latest best practices in DevOps and CI/CD Produce high-quality communications, documentation, and presentations of solutions ...

skills across multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualizations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation ...

core backend systems behind a high-performance AI platform operating in complex, regulated environments. You’ll work across backend, data, and infrastructure domains alongside ML engineers and product teams to build systems that are secure, scalable, and built for enterprise-grade reliability. This is a hands-on, high-impact role … scale backend services and APIs powering a production AI platform. • Develop and optimise high-throughput data pipelines for large-scale financial datasets. • Productionise ML models in collaboration with machine learning engineers. • Design and optimise PostgreSQL schemas, queries, and performance at scale. • Build secure, compliant systems aligned with ...