Machine Learning Jobs

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Lead

Customer-facing role owning the full journey from onboarding and change management to roadmap planning and contract preparation, working alongside simulation, software, ML engineers and data scientists. Translates complex engineering and physics challenges into product opportunities, tracks engagement and grows strategic accounts. Hybrid, based in NYC or the Bay Area.

• London
• Hybrid
• Senior

Develops production-grade ML models and pipelines for physics simulation, working with research scientists and simulation engineers. Involves scaling training and inference across multi-GPU/multi-node distributed systems, optimising from job scheduling down to CUDA/Triton/Warp kernels, and building cloud infrastructure on CoreWeave and AWS.

AWS · Azure · GCP +7

• London

This role involves conducting original quantitative research to develop statistical and mathematical models for trading, using large, noisy datasets and proprietary infrastructure processing billions of market events daily. The scientist will translate research into production code, peer-review ideas, and explore unconventional approaches with potential investment value. The position emphasizes deep mathematical problem-solving, programming rigor, and collaboration in a research-driven, intellectually autonomous environment.

• United Kingdom
• Hybrid
• Lead

Senior technical authority architecting algorithmic solutions for intelligent systems, spanning machine learning, applied statistics and sensor processing. Leads complex defence and security projects, sets technical direction, mentors engineers and shapes proposals with clients. Hybrid working, though some projects require full-time office presence.

Reinforcement Learning · Machine Vision · Edge Computing +1

• United Kingdom
• Entry level

Join the AI & Algorithms department to build intelligent systems, coding hands-on and training/testing models for client projects across robotics, radar, photonics and engineering biology. Work in mixed-discipline teams attending stand-ups and planning sessions, while contributing to internal R&D that turns state-of-the-art literature into market-leading solutions and client demonstrations.

LLM · VLM · VLA

• Gateshead
• On-site
• Entry level
• Permanent · Shift work

Hands-on apprenticeship within Amazon's Reliability Maintenance Engineering team, supporting fault-finding and maintenance on robotics, conveyors and sortation equipment. Combines shift-based on-the-job training with study toward a Level 6 apprenticeship, BSc in Controls and Automation Engineering and HNC/D, covering industrial automation, IoT sensors, predictive maintenance and Industry 4.0 technologies.

Robotics · IoT · Conveyor Systems +2

• London
• On-site
• Senior
• Permanent

Builds and scales generative and predictive models of cellular behaviour, acting as the bridge between ML theory and implementation. Day to day involves optimising large neural networks, distributed multi-GPU/multi-node training, profiling GPU workloads, and productionising research code for multi-modal biological data.

PyTorch · CUDA · Triton +1

• Royston
• On-site
• Entry level
• Permanent

Graduate consultants join multi-disciplinary teams to invent new products and technologies, covering invention, analysis, prototype design and transfer to manufacture across areas like drug delivery, AI-driven discovery and 5G antennas. Alongside technical work, they engage directly with clients, build market understanding and take on project leadership as they gain experience.

5G NTN

• Cambridge
• On-site
• Permanent

Consultants design and deploy machine learning systems for diverse defence and security projects, from proofs-of-concept to working prototypes. The role spans literature analysis, model training, rapid prototyping and experiment design, often combining science, engineering and ML in novel settings. Work is on-site in Cambridge within a flat, collaborative team of around 40 specialists.

PyTorch · TensorFlow · Keras +3

• London
• Hybrid
• £115,000 pa
• Lead

Hands-on role designing, developing and deploying production-grade Generative AI and Agentic AI solutions within a global technology consultancy's Data & AI practice. Combines Data Science and Machine Learning foundations with modern software engineering, including Python APIs, microservices, RAG architectures, vector databases and MLOps, while influencing solution architecture and working directly with clients on AI transformation projects.

LangGraph · CrewAI · AutoGen +7

• London
• Remote
• £80,000 – £100,000 pa
• Mid-level

Builds and validates risk pricing models using statistical and machine learning techniques in Python, covering customer segmentation, conversion modelling and pricing analytics. Supports development of a proprietary pricing and rating platform, working closely with technical, commercial and underwriting stakeholders in a small team with senior exposure.

Python

• Filton
• £45,000 – £58,000 pa
• Permanent

Research, develop and evaluate image processing and computer vision algorithms within a specialist team, applying AI and deep learning to segmentation, object detection, tracking and classification. Work spans optical flow, pose estimation, particle filtering and computational imaging using MATLAB, Simulink and Python with PyTorch, collaborating with multidisciplinary engineers to turn research into practical applications.

MATLAB · Simulink · Python +1

• London
• £23,805 pa
• Entry level
• Contract

Develop a framework combining a differentiable reacting flow solver with a machine learning-based controller to anticipate and mitigate extreme events such as flashback and thermoacoustic instabilities in hydrogen and SAF combustion. The role sits within the European CONTEXT project at the intersection of scientific machine learning and fluid dynamics, using high-fidelity simulations and Imperial's HPC facilities.

HPC

• Cheltenham
• On-site
• £40,000 – £75,000 pa

Builds AI and agentic AI systems end to end, from rapid proof-of-concepts to productionised, scalable solutions for clients and internal use. Works with the Head of AI & Data plus service designers, engineers and analysts, using Python, agentic frameworks and coding tools, with a strong emphasis on system design and navigating open-ended problems.

Claude Code · OpenAI Codex

• Manchester
• On-site
• £40,000 – £75,000 pa

Builds AI and agentic AI systems that solve real-world problems, working with the Head of AI & Data to design, prototype and scale solutions for clients and internally. Uses Python, agentic coding tools and self-hosted models, balancing rapid PoC delivery with sound system design and productionisation. Involves client-facing work, AI strategy advice and internal R&D.

Claude Code · OpenAI Codex