Machine Learning Jobs

• London
• Hybrid
• £225,000 – £255,000 pa
• Senior

Embed directly with strategic enterprise customers to build production applications on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on Python engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. Founding FDE role with frequent travel (25-50%) to customer sites.

Claude · MCP

• London
• Hybrid
• £260,000 – £370,000 pa

Designs and runs machine learning experiments to understand and steer the behaviour of powerful AI systems, with a focus on risks from future ASL-3/ASL-4 models. Works collaboratively with Interpretability, Fine-Tuning and the Frontier Red Team on areas such as AI Control and alignment stress-testing, using Python throughout.

Kubernetes · Python · LLM

• Remote (UK)
• Remote
• Lead · manages people
• Permanent

Sets technical direction for complex ML projects in the defence sector, designing and maintaining scalable ML/software systems while justifying architectural decisions. Leads hiring, mentoring and shared library development, working 2-4 days per week on client sites with UK travel and the rest remote or from the London office.

Scikit-learn · TensorFlow · PyTorch +5

• Remote (UK)
• Remote
• Lead · manages people
• Permanent

Lead backend and edge/IoT engineering for high-stakes Defence projects, bridging proof-of-concept work and robust production systems. You'll mentor a squad of engineers, design complex components, and build CI/CD and containerisation pipelines in Python and a compiled language like Rust, C++ or Go, working alongside ML engineers and data scientists. Requires UK Security Clearance eligibility and 2-4 days per week on client sites.

GitLab CI/CD · Docker · Kubernetes +1

• London
• Hybrid · 2 days in office
• £160,000 – £170,000 pa
• Director · manages people

Owns the data, analytics and AI strategy for a global pharmaceutical procurement joint venture, leading a multidisciplinary team of around 18 across analytics, data science and engineering. Reports to the COO and drives a digital and AI roadmap spanning commercial and pricing analytics, predictive modelling of supply chain risk and operational improvement, influencing senior stakeholders across both parent organisations.

• United States
• Hybrid · 3 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM-powered workflows into production, making key architectural decisions within a small AI and Innovation team.

Python · React · TypeScript +1

• Bradford
• On-site
• £40,000 – £50,000 pa

Hands-on role spanning the full data lifecycle, from collecting, cleansing and transforming datasets to advanced analysis and predictive modelling. You'll build pipelines, data models and analytical frameworks supporting AI and machine learning initiatives, translate business requirements into technical solutions, and present findings to stakeholders while potentially mentoring learners and junior team members.

Python · SQL

• London
• Remote
• £60,000 – £85,000 pa
• Permanent

Lead end-to-end technology procurement and sourcing for Central Government, Defence and National Security programmes, developing commercial strategies and running competitive tenders and supplier evaluations. Provide commercial expertise across cloud, cyber, data and AI procurements, managing supplier relationships and governance, assurance and approval activities with senior stakeholders.

Cloud · Cyber · Data +3

• Dublin, Ireland
• Director

This role involves leading teams on high-profile forensic data analytics and FinCrime engagements, managing complex projects, and advising clients on regulatory compliance. The position requires extensive experience in data analytics, AML, fraud investigations, and cloud technologies, with a focus on strategic application and leadership.

• Sunbury-on-Thames
• Hybrid
• Senior

Designs, builds and operates scalable cloud data platforms, ELT/ETL pipelines and analytical datasets supporting Finance, with Azure and Databricks/Fabric/Snowflake preferred. Combines strong software engineering (CI/CD, testing, automation) with data modelling, governance and technical leadership, mentoring engineers and working with product, architecture and Finance stakeholders.

Azure · Databricks · Microsoft Fabric +5

• London
• Hybrid
• Lead

Sits within the Insight Enablement function of the Tesco Insights team, shaping longer-term enablement strategy and transformation initiatives so client-facing teams can deliver value. Defines enablement propositions and frameworks across products and tools, connects stakeholder needs with business priorities, and champions adoption of AI and emerging technologies.

• London
• Mid-level

Day-to-day responsibility for requesting data, monitoring and enhancing Key Risk Indicators and Management Information (MI) for first-line financial crime risk. Builds and maintains MI dashboards, automated data pipelines and analytical tooling using Python, SQL, Power BI or Tableau, and partners with 2LOD and Data Engineering to improve data quality and governance. Distinct for its strategic ownership of the financial crime data and analytics roadmap within an asset management and insurance group.

Power BI · Tableau · AWS +2

• 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

• United Kingdom
• Entry level
• Internship

A 12-month paid placement in the AI & Algorithms department, working alongside engineers and mentors on client projects. Day-to-day work includes coding, modelling, training and testing models, data wrangling, and contributing to internal R&D on state-of-the-art AI. Interns join mixed-discipline teams, attend stand-ups and present results to colleagues and clients.

LLM · VLM · VLA

• Bristol
• On-site
• £54,000 – £58,000 pa
• Mid-level

Develops and evaluates image processing, computer vision and deep learning algorithms for imaging sensor systems, covering segmentation, noise removal, tracking, pose estimation and classification. Works on-site in Bristol within a cross-functional team, supporting research into emerging AI/ML technologies and integrating algorithms into larger operational systems.

Python · C++ · SAR +3