Machine Learning Jobs in Exeter

• Exeter
• Entry level
• Contract

A PhD studentship developing neural networks within the MaLCOM machine learning framework to move mixed layer depth prediction from a statistical baseline to temporally resolved hourly forecasts. The researcher selects geographic test sites, temporal scales and oceanographic variables, using high-resolution in-situ and Earth observation data, with training in Python, AI and operational forecasting from Exeter, PML and the Met Office.

MaLCOM

• Exeter
• Entry level
• Contract

A PhD studentship investigating whether repeat photography, citizen science and machine learning can robustly monitor ecological change in intertidal habitats. The researcher combines field data collection, statistical analysis and image-based AI, validating methods against the 25-year MarClim time series across 100 UK rocky intertidal sites.

MarClim

• London
• Remote
• Entry level
• Temporary

Four-month full-time research fellowship focused on empirical AI safety and security projects, using open-source models and public APIs to produce public outputs such as paper submissions. Fellows receive direct mentorship from Anthropic researchers, access to shared workspaces in London or Berkeley, and work alongside the broader AI safety community.

PyTorch · TensorFlow

• London
• Remote
• Temporary

Four-month, full-time research fellowship working on empirical ML systems or reinforcement learning projects, using external infrastructure like open-source models and public APIs. Fellows receive direct mentorship from Anthropic researchers and aim to produce a public output such as a paper submission, with projects spanning accelerator backends, synthetic data pipelines, and RL environments.

Claude

• London
• Hybrid
• Senior
• Permanent

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.

Harness · Airflow · Dagster +7

• Slough
• Hybrid · 2–3 days in office
• £330 – £360 pd
• Junior
• Contract

Hands-on role building, validating and optimising basic models and data pipelines across the data science lifecycle, from exploratory analysis to cloud-based automation of decision-making. Work spans churn reduction, customer lifetime value, stock management and marketing effectiveness, collaborating within a data science team and with non-technical stakeholders in the telecoms sector.

scikit-learn · PySpark

• United Kingdom
• Hybrid

Designs and builds proactive agentic systems, from sensor-edge reasoning to high-level planning, with stateful multi-turn reasoning, persistent memory and evaluation pipelines. Works across Python, TypeScript, LangGraph, CrewAI, MCP and cloud infrastructure, partnering with biologists and roboticists to take experimental AI from prototype to production.

NextJS · Pydantic · LangGraph +7

• Zürich, Switzerland
• Senior

Design, develop and optimise GPU/CPU-accelerated data processing libraries such as DALI and nvImageCodec, covering numerical methods, performance tuning and benchmarking across architectures. Works closely with leadership and external partners on technical roadmaps while providing technical leadership and guidance to other library engineers.

CUDA · DALI · nvImageCodec +1

• United Kingdom
• 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-based parallel algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership and guidance to other library engineers.

CUDA · DALI · nvImageCodec +1

• Norwich
• £20,409 pa
• Entry level
• Contract

Develops and evaluates methods for reliable, localised and generalisable knowledge updating in large language models, adapting techniques such as ROME and MEMIT and comparing them with RAG, external memory and fine-tuning. Experiments use open-weight models on RTX 6000 Ada GPUs and UEA HPC, assessed on benchmarks like CounterFact and zsRE for efficacy, generalisation, locality and retention, with optional deployment in social robots such as Furhat.

ROME · MEMIT · RAG +5

• Gloucestershire
• Hybrid
• £51,000 – £60,500 pa
• Senior

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.

Red Hat · Ubuntu · Pandas +6

• London

Builds and owns the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the best-fitting model or combination. Sets technical direction for inference engines like vLLM and SGLang and serving platforms such as KServe, including air-gapped deployments, GPU autoscaling, batching, caching and quantisation. Works with Research and Post-Training specialists to move tuned models into production routes.

vLLM · SGLang · KServe +6

• London
• Hybrid · 3 days in office
• Senior

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.

AlphaFold

• London
• Hybrid · 3 days in office
• Lead

Owns the safety assessment strategy for drug discovery projects from inception to regulatory submission, working with small molecule and biologics platforms. Designs screening cascades, authors and defends regulatory toxicology sections, and manages CRO relationships for outsourced wet-lab work. Also guides development of an AI predictive toxicology platform with ML researchers.

AI/ML

• Singapore
• Hybrid
• Lead

Join a newly formed Singapore research team building physical foundation models with customers and partners. You will translate physics and engineering challenges into mathematical formulations, train deep learning and probabilistic models on large spatiotemporal and geometric datasets, and own research workstreams while publishing and presenting results.

NumPy · SciPy · Pandas +2