Machine Learning Jobs in Exeter

• Exeter
• £21,805 pa
• Entry level
• Contract

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.

Neural Ordinary Differential Equations · Deep Neural Networks · Recurrent Neural Networks +1

• Exeter
• £21,805 pa
• Entry level
• Contract

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.

Thermal Imaging · AI · Machine Learning

• Switzerland
• Remote
• Senior

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.

CUDA · DALI · nvImageCodec +1

• London
• Hybrid · 3 days in office
• Lead

Lead the development and execution of (pre)-formulation strategies for small molecules across drug discovery and preclinical development, designing technologies such as solid dispersions and co-crystals to optimise solubility, stability and manufacturability. Work within an interdisciplinary team alongside AI/ML drug design platform specialists, leveraging external CRO resources and authoring regulatory submissions.

ICH · ASAP · FDA

• London
• Hybrid · 3 days in office
• Lead

Lead medicinal chemistry strategy across drug discovery programmes, from hit identification through lead optimisation to candidate nomination, while working hands-on as an individual contributor. Partner closely with AI/ML platform teams to shape predictive models, manage CRO resources and represent the company externally.

AlphaFold

• London
• Hybrid
• Senior · manages people

Owns research work-streams, setting technical direction and roadmaps while guiding junior team members. Builds deep learning and probabilistic models of physical systems, translating physics and engineering problems into mathematical formulations and production-ready code with ML and simulation engineers.

PyTorch · CUDA · JAX +2

• 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. Works cross-functionally with product and engineering to shape roadmaps, and acts as a trusted technical advisor, with occasional travel to customer sites.

Databricks · HuggingFace · LangChain +7

• London
• Hybrid
• £65,000 – £145,000 pa

The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI systems, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. Findings are shared with frontier AI companies, UK officials and allied governments to inform deployment and policy. The role is open to research engineers and scientists at all seniority levels, with appointment conditional on obtaining UK Government Developed Vetting clearance.

• London

Owns the product capability for post-training LLMs, turning research methods into deployable model improvements for customers. Builds reliable training harnesses, synthetic-data pipelines and evaluation workflows, applying SFT, preference optimisation, RLHF/RLAIF and verifier-based approaches. Works closely with Research and platform teams, with a roadmap spanning SaaS, VPC and air-gapped deployments.

PyTorch · LLMs · SaaS +1

• London
• Hybrid
• £225,000 – £255,000 pa
• Mid-level

Join the Beneficial Deployments Life Sciences team to help labs automate experiments end-to-end with Claude, connecting software to robots, instruments and LIMS. You'll prototype and productionise LLM-powered tools, build evals for physical-world safety, and scale learnings through cookbooks and the Model Hardware Standard. Expect significant travel and EMEA ambassadorship at conferences.

Claude · Model Hardware Standard · Liquid Handlers +2

• United Kingdom
• Remote
• Lead

Customer-facing technical authority for Generative AI across EMEA digital-native and startup accounts, shaping architectures and de-risking LLM use cases from RAG and agentic systems to fine-tuning and evaluation. Builds hands-on proofs of concept on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog) and mentors a ~70-person field engineering organisation.

Databricks · Mosaic AI · MLflow +7

• London
• Hybrid
• Lead · manages people
• Permanent

Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor technical teams, and bridge deep research with client strategy across high-stakes engagements.

NumPy · Pandas · Inspect AI +1

• London
• Hybrid
• Lead
• Permanent

Lead an ambitious research agenda at the intersection of LLMs, VLMs, VLAs and embodied AI, exploring how world knowledge, memory and reasoning can drive better physical-world decisions. Stay hands-on developing architectures, training and post-training large-scale models, while mentoring researchers and shaping the team's technical direction across London and Sunnyvale.

PyTorch

• London
• Hybrid
• £65,000 – £145,000 pa

Engineers at all levels build and scale the shared tooling and infrastructure behind the institute's AI safety research, from Inspect plugins and large-scale evaluation systems to model hosting and secure proxy infrastructure. Work spans open-source collaboration, supporting research teams with custom setups, and hardening infrastructure for frontier model evaluations.

Inspect

• London
• Hybrid
• Lead
• Permanent

Lead the technical architecture for integrating an autonomous driving AI platform with automotive OEM and Tier 1 vehicle systems, spanning sensors, middleware, ECU constraints, timing, diagnostics and safety. Own interface contracts, requirements processes and architecture decisions across customer programs, and represent the company in partner technical discussions.

CAN · FlexRay · Automotive Ethernet +2