Machine Learning Jobs in Exeter

CureAge Therapeutics · London

Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

University of Exeter · Exeter · £21,805 pa

Develops a multiscale Scientific Machine Learning digital-twin framework to predict thermal trajectories, torque capability and efficiency in low-speed, high-torque electric propulsion. Combines physics-informed neural networks, neural state-space models and Neural ODEs, validated through safety-constrained dynamometer experiments at the Centre for Future Clean Mobility and on-site work with a marine power-systems partner.

University of Exeter · Exeter · £21,805 pa

An interdisciplinary PhD developing miniaturised, low-power sensing hardware co-designed with AI for monitoring wild animal behaviour, including individual recognition and automated quantification of responses. Systems are benchmarked in controlled conditions then validated on wild jackdaws and field sites in West Africa, spanning ecology, electronic engineering and data science.

Cambridge Consultants · United Kingdom

Lead signal processing design and integration project teams, architecting software for high-performance hardware and contributing to multi-domain system design. Work across wireless, telecoms, audio and semiconductor clients, acting as design authority and providing technical leadership while supporting sales campaigns and proposals.

Anthropic · London

A four-month, full-time research fellowship in the Economics & Policy workstream, using external infrastructure such as open-source models and public APIs to produce a public output like a paper. Fellows receive direct mentorship from Anthropic researchers and pursue projects on AI's economic effects, labor markets, and offense-defense balance, with strong Python skills required.

Anthropic · London

A four-month, full-time research fellowship focused on empirical AI safety and security projects, using external infrastructure such as open-source models and public APIs, with the goal of producing a public output like a paper submission. Fellows receive direct mentorship from Anthropic researchers, access to shared workspaces in Berkeley or London, and funding for compute and research expenses.

Brimstone-Recruitment · London · £55,000 – £75,000 pa

Hands-on role bridging legal teams, engineers and vendors to deliver legal tech deployments end to end, including budgets, timelines and milestones. Involves configuring document automation and generative AI workflows, supporting deal teams, managing platforms and vendors, and running training to drive adoption across a global firm.

Wayve · London

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works on Kubernetes-deployed, distributed infrastructure handling hundreds of parallel pipeline steps, batch inference and evaluation workflows, closely with partner teams.

NVIDIA · Cambridge

Lead security research, architecture and implementation for next-generation networking products, taking a hands-on role in hardware and software security primitives. Work across internal teams and external partners on open-source software, IO interfaces (I2C, I3C, SPI, UART, USB, PCIe), RISC-V, root-of-trust and secure boot architecture.

NVIDIA · Bristol

Lead security research, architecture and implementation for next-generation networking products, taking a hands-on role defining hardware and software security solutions. Work across hardware, software, research and product teams, and with external partners, on IO interfaces, boot architecture, RISC-V and root-of-trust, plus open-source implementation.

Synoptix · Bristol · £51,000 – £60,500 pa

A varied engineering role spanning research, product and service development, with a focus on AI and computer vision (object detection and tracking). You lead software design, development, testing and deployment within multidisciplinary teams, and act as a subject matter expert advising clients on architecture. Python and C++ on Linux, with DevOps, MLOps and SDLC practices.

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.

Harnham - Data and Analytics Recruitment · London · £100,000 – £130,000 pa

Designs and operates LLM-powered systems, building multi-step agent workflows, production-scale RAG pipelines and evaluation frameworks. Works with embeddings, vector search, reranking and graph-based retrieval, integrating foundation models into secure enterprise environments while mentoring engineers and shaping technical direction.

Cambridge Consultants · United Kingdom

Designs and builds proactive agentic systems, from sensor-edge reasoning to high-level planning, using stateful multi-turn reasoning, persistent memory and evaluation pipelines. Works across Python, TypeScript, LangGraph, CrewAI and MCP, deploying on AWS, GCP or Azure with Docker, Kubernetes and observability tooling. Partners with biologists and roboticists on rapid, demo-first client prototypes.

Reed · Cambridge

Lead statistical and bioinformatics analysis projects, developing computational algorithms and applying machine learning to functional genomics research. Work with NGS, OMICS and high-throughput datasets alongside laboratory scientists, using Python, R or Julia and libraries such as TensorFlow and PyTorch. The role also involves mentoring and cross-functional collaboration in a multidisciplinary research team.

Isomorphic Labs · London

Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You will develop computational and machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.