Machine Learning Jobs

• London
• Hybrid · 1 day in office
• £325,000 – £395,000 pa
• Senior

Builds foundational infrastructure for AI safety, oversight and intervention, including data storage, metrics and evaluation systems, and tooling for human and agentic review. The role also involves running these systems day to day and building multi-layered, real-time defenses against misuse at scale.

Claude Code

• London
• Hybrid · 1 day in office
• £260,000 – £630,000 pa
• Mid-level

Blends research and engineering to advance reinforcement learning for large language models, building agentic capabilities like computer use and autonomous code generation. Involves architecting distributed RL training infrastructure across GPU clusters, designing novel training environments and evaluations, and profiling and optimizing the stack. Works closely with alignment, red team, and production training groups, with a strong pair-programming culture.

PyTorch · TensorFlow · JAX +3

• London
• Hybrid
• Lead
• Permanent

Lead the technical direction for an offline 3D reconstruction system that turns raw vehicle sensor data into quality-assessed 3D ground-truth geometry and ego motion. The role spans SLAM, lidar point-cloud registration, state estimation and sensor fusion, with responsibility for architecture, roadmaps, interfaces and cross-team alignment. It is a principal-level leadership position mentoring engineers and setting reconstruction quality standards.

ROS · PCL · OpenCV +3

• London
• Senior

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep Databricks platform expertise, Python/SQL coding proficiency and a declared technical specialisation.

Databricks · Snowflake · AWS +7

• Hatfield
• On-site
• £39,560 – £46,970 pa
• Entry level
• Contract

Postdoctoral role developing innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications from heterogeneous data, as part of an Innovate UK-funded collaborative project. Duties include building AI/ML software tools, data management and analysis, supporting the Principal Investigator on project milestones, and contributing to publications and reports.

TensorFlow · Scikit-Learn · PyTorch +1

• United Kingdom
• Entry level

Work within a mixed-discipline AI & Algorithms team on client and internal R&D projects, building intelligent systems through hands-on coding and training/testing models. You'll attend stand-ups, contribute to planning, and apply state-of-the-art literature to produce market-leading solutions and demos. Requires a PhD and strong Python skills, with a flexible 2026 or 2027 start.

Edge Compute

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

A PhD studentship researching AI-on-RAN, optimising distributed and mobile inference of large language models by adapting token, memory and bandwidth use in real time. The work sits across AI and telecoms, with training alongside other PhD students in the EPSRC Future Telecommunications Hubs network and exposure to defence, government and infrastructure stakeholders.

AI-on-RAN · 6G

• 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

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Lead complex end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams, and feed field learnings back into product and model roadmaps. Hybrid London role with up to 50% travel.

LLMs · Generative Models

• Sheffield
• Hybrid
• £32,080 pa
• Entry level
• Contract · Part time

Build and evaluate machine learning models that predict Strep A outbreaks from multiple real-world datasets, turning them into early-warning signals. Work closely with clinicians and an engineering team so analyses feed into a practical public health tool, with emphasis on reproducible Python or R analysis.

• 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

• Oxford
• On-site
• £40,178 – £48,700 pa
• Entry level
• Contract

Develops and validates machine-learning models on large-scale multimodal NHS clinical data, including electronic health records, genomics, imaging and digital pathology. Builds reproducible pipelines for heterogeneous longitudinal data within secure environments, working with clinicians, pathologists and engineers on disease progression and treatment response prediction.

NHS Data · Electronic Health Records · Secure Data Environment +2

• Manchester
• Hybrid
• £28,000 – £32,000 pa
• Entry level
• Permanent

A graduate-level role analysing varied datasets to identify trends and support statistical and predictive modelling work. You will use Python, SQL, SAS or PySpark, collaborate across teams, and present insights to technical and non-technical audiences while learning from experienced professionals.

Python · SQL · SAS +1

• Oxford
• On-site
• £39,424 – £47,779 pa
• Entry level
• Contract

Develops novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, covering areas such as genomic language models, multimodal and federated learning, and multi-ancestry methods. The role involves building scalable, reproducible research software, applying it to biobank-scale datasets, publishing findings and guiding junior researchers within the Palamara Group.

• 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