Latest Retail Technology Jobs

Senior Machine Learning Engineer (E3)

This role involves owning the full machine learning lifecycle for production systems that enhance customer experience in online grocery, including personalisation, recommendations, and search ranking. The engineer will work within a cross-functional data science team to build scalable, reusable ML components while championing data quality, MLOps best practices, and platform thinking. A strong focus is placed on system reliability, technical leadership, and collaboration across disciplines.

Ocado United Kingdom

Hybrid Permanent

Treasury Back Office Analyst

The Treasury Back Office Analyst ensures accurate and timely execution of treasury operations including bank reconciliations, cash clearing, payment settlements, and company card administration. The role acts as a key link between SSC Finance and Group Treasury, supporting process standardisation, controls, and system integrations using Oracle Fusion and Kyriba. It involves contributing to month-end close, compliance activities, and continuous improvement initiatives within a growing shared service centre.

Ocado United Kingdom

Lead Machine Learning Engineer

Lead Machine Learning Engineer to define technical direction for complex AI projects, design scalable ML systems, and guide delivery across high-risk, ill-defined environments. Will lead architectural decisions, mentor engineers, develop reusable tools, and act as a technical advisor to clients in regulated sectors. Focus on operationalising models using Python and major cloud platforms with containerised deployment via Docker and Kubernetes.

Faculty AI London, United Kingdom

Hybrid Permanent

Lead Data Scientist

Lead a team of data scientists to design and deliver high-impact, production-grade AI solutions for clients in highly regulated sectors such as finance and professional services. Drive technical direction, lead complex project scoping, and act as a trusted advisor to clients while shaping best practices and mentoring junior staff. Work across the full project lifecycle from feasibility to deployment, balancing innovation, speed, and reliability in real-world applications of machine learning.

Faculty AI London, United Kingdom

Hybrid Permanent

Principal Machine Learning Engineer

This role involves leading the design and implementation of scalable machine learning systems within high-stakes defence projects. You'll act as a technical authority, solving cross-cutting challenges, shaping architectural strategy, and mentoring engineering teams. The work combines advanced AI innovation with real-world deployment in secure, mission-critical environments.

Faculty London, United Kingdom

Hybrid Permanent

Frontend Engineer

This role involves building client-facing web applications to visualise insights from AI and machine learning models, working closely with data scientists and designers. The engineer will help establish frontend standards, maintain deployment infrastructure, and create reusable component libraries. Based in London with hybrid working, the role supports high-impact public sector projects and requires occasional on-site work with government clients.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

Technical Deployment Lead

Lead end-to-end technical delivery of custom AI agent solutions for enterprise clients in regulated industries, from scoping to production deployment. Bridge technical and business stakeholders, define MVPs, manage stakeholder expectations, and codify reusable playbooks. The role combines technical leadership with executive engagement to drive successful AI adoption in complex environments.

Anthropic London, United Kingdom £165,000 – £230,000 pa

Research Engineer, RL Scaling Science

This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues at the research-infrastructure boundary, and translate validated findings into production training recipes. Work is highly collaborative with research and engineering teams, focusing on empirical science to advance steerable and safe AI systems.

Anthropic London, United Kingdom £375,000 – £640,000 pa

Hybrid Permanent

Research Associate for Machine Learning Modelling for Next-Level Fast Nonlinear Wave-Structure Interaction

Develop fast, physically interpretable models for nonlinear wave-structure interaction in floating offshore platforms using analytical and computational hydrodynamics, BEM, and reduced-order modelling. Apply machine learning selectively to improve efficiency and insight, validate models against experimental and field data, and integrate methods into existing simulation frameworks. Collaborate with academic and industrial partners in offshore renewables and contribute to publications and postgraduate supervision.

The University of Manchester Manchester, Northern England, United Kingdom £37 – £46 pa

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