Machine Learning Jobs

Cambridge Consultants · United Kingdom

Senior technical role architecting agentic AI systems for defence and security clients, acting as technical lead on complex projects and setting departmental technical direction. Involves hands-on engineering in Python, client-facing proposal work, mentoring engineers and conducting technical interviews. Requires SC security clearance and UK residency.

NVIDIA · United Kingdom

Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-based parallel algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership and guidance to other library engineers.

NVIDIA · Switzerland

Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-accelerated algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership to other library engineers.

Cambridge Consultants · United Kingdom

Work as part of a multi-disciplinary technical team on client assignments spanning consumer devices, industrial systems, and defence. Design and implement embedded systems, including C software for embedded targets, SystemVerilog for FPGAs, PCB design, and hardware testing, while interacting directly with clients from requirements capture to handover.

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.

Isomorphic Labs · London

Research Engineers build and optimise state-of-the-art AI models for drug design, working across the full ML lifecycle from experimentation and evaluation to production deployment. The role involves developing robust codebases, data pipelines and training infrastructure, with a focus on architectures such as Transformers, GNNs and diffusion models, in close collaboration with scientists and engineers.

Anthropic · London · £325,000 – £390,000 pa

Builds and operates the distributed systems that serve Claude to millions of users, spanning request routing, load balancing, autoscaling and fleet orchestration across thousands of AI accelerators in multiple clouds. The role sits at the intersection of high-performance infrastructure and ML, integrating new accelerator platforms and supporting new model architectures.

Isomorphic Labs · London

Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents and reinforcement learning, with model training and inference engineering in JAX, PyTorch or TensorFlow. Depending on experience, you may also lead standalone projects, mentor ML researchers and shape the research roadmap.

Wayve · London

Develops, tunes and validates trajectory-generation and motion control algorithms that translate the AI Driver's outputs into safe, smooth vehicle motion across ADAS and AV platforms. Writes latency-sensitive, production-quality C++ control software and uses simulation, closed-loop evaluation and on-road testing to characterise controller behaviour and debug system-level issues.

MFK Recruitment · Brentford · £75,000 – £100,000 pa

Develop an engineering-grade spiking neural network engine for machine vision applications in defence and security contexts. Translate advanced research into robust production software using C++ and machine vision techniques. Collaborate with researchers and engineers on SNNs, CNNs, and Transformers, with integration into operational systems.

Ocado · London

Owns the software engineering that brings data science and machine learning products into live production for the Autoplanner team, building AI-powered planning systems across global warehouses and last-mile assets. Writes typed, well-tested Python (with some Java for OSP integration), builds APIs and data contracts, manages AWS deployments and CI/CD, and packages, serves and monitors ML models. Acts as engineering partner to data scientists and shares on-call support.

Cohere · London

Hands-on research and engineering role on the Agent Code team, developing code-generating LLMs and autonomous agent systems for enterprise use. Involves training code models, building agent frameworks for inference and sampling, creating SFT trajectories, working on RL algorithms, and designing benchmarks, in collaboration with the pretraining team on frontier compute infrastructure.

Cohere · London

Drive safety research for agentic LLMs, focusing on data generation, post-training algorithms and evaluation methods so models that access external tools and act in the world remain fair, trustworthy and secure. Work with cross-functional ML, data annotation, product and policy teams on a small, autonomous team, requiring strong statistics, software engineering and Python/PyTorch skills.

Synoptix · Bristol · £65,000 – £85,000 pa

Lead the technical vision and delivery of bespoke AI research programmes, spanning object detection, neural network resilience, AI assurance and synthetic data. Day-to-day work includes high-throughput vision systems on NVIDIA Jetson hardware, CUDA/TensorRT acceleration, multi-modal thermal and optical sensing, and real-time tracking, while guiding junior engineers and engaging senior stakeholders.

Amazon · London

PhD students join an Amazon Science team to own an end-to-end research project, from scoping with a mentor to deploying algorithms, models or systems into production. Projects span computer vision for Prime Video quality, multimodal AI for Rufus, automated reasoning and formal verification, observability for distributed systems, and recommendation models. Interns may publish at top-tier conferences or see their work ship before the internship ends.