392 jobs for “Machine Learning Engineer”
IT Career Switch London £25,000 – £45,000 pa
A self-paced traineeship that takes complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training designed to fit around existing work or unemployment.
IT Career Switch London £25,000 – £45,000 pa
A self-paced traineeship that takes complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, culminating in the Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, participants are placed into a Junior AI Engineer role within 20 miles of their location, with training designed to fit around existing work or unemployment.
Experis United Kingdom £400 – £500 pd
Multiple contract roles spanning data, ML and AI platform engineering, from hands-on specialists to technical leads. Work covers architecture, engineering, governance, security, reliability and operations on a large-scale modern environment, using Python, SQL, Go, DataHub, Trino/Starburst, JupyterHub, OpenSearch, Entra ID/OIDC, FluxCD/Argo CD and Helm. Remote and global, with rates negotiable by experience and location.
Capital One Mansfield
Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.
Capital One Loughborough
Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production in a hybrid Nottingham team.
Anthropic London £260,000 – £630,000 pa
Join the Pretraining team to develop next-generation large language models, working across model architecture, algorithms, data processing and optimizer development. You'll lead small research projects, design and analyse experiments, and scale distributed training infrastructure to thousands of GPUs, balancing research goals with practical engineering.
PhysicsX London
Builds the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develops solvers and numerical methods in differentiable or GPU-native frameworks such as JAX or NVIDIA Warp, using commercial and open-source CFD tools for reference data. Works in a research team alongside ML researchers, shaping data generation strategy and fidelity tradeoffs.
Databricks London
Customer-facing AI engineering role delivering professional services engagements, helping clients build and productionize GenAI applications such as RAG, multi-agent systems and Text2SQL. Involves production rollouts, serving as a trusted technical advisor, and collaborating with product and engineering to shape the roadmap.
Faculty London
Builds client-facing products that visualise insights from data scientists, working in cross-functional delivery teams within the National Security and AI Safety unit. Owns frontend standards and reusable component libraries across the company, sets up deployment infrastructure, and mentors other engineers. Requires React, TypeScript, ES6, HTML/CSS3 and data visualisation such as d3, with cloud exposure to AWS, GCP or Azure.
Speechmatics London
Own the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition tooling. Operate the platform that trains, evaluates and serves models in production, optimising GPU utilisation, scheduling and observability across distributed systems.
Speechmatics Cambridge
Own the infrastructure behind speech AI models: building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and automated data acquisition. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.
Wayve London
Builds virtual vehicle models using physics-based and data-driven techniques, validating them against on-road data and converting them into efficient software components. Runs track and partner experiments to improve model accuracy, and integrates models into simulation, hardware-in-the-loop and correlation pipelines across robotics and product teams.
Faculty London
Build and scale AI-powered systems for public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.
Wayve London
Develops, tunes and validates trajectory-generation and motion-control algorithms that turn the AI Driver's outputs into safe, smooth vehicle motion across multiple platforms. Owns production-quality, latency-sensitive C++ control software through the full lifecycle, using simulation, closed-loop evaluation and on-road testing to characterise controller behaviour and track comfort, tracking-error and safety KPIs.
OpenAI London
Builds and scales the infrastructure that trains and deploys AI agents, spanning a novel in-house container orchestration platform, FastAPI and gRPC APIs, and Terraform-managed cloud systems. Works closely with researchers on large-scale training runs and with product teams launching agentic products to hundreds of millions of users.
