Machine Learning Jobs

Faculty · Remote (UK)

Leads complex machine learning delivery and strategy for the Defence team, owning a portfolio of work, scoping projects and acting as a technical authority. Writes production-grade Python, builds Generative and agentic AI applications with LLMs, and mentors junior data scientists. Requires UK Security Clearance and 2-4 days per week on client sites.

Experis · London · £450 – £500 pd

Delivery-focused project manager supporting a computer vision AI capability, working across the client, a UK development contractor and wider stakeholders. The role covers governance, plans, risks, dependencies and costs, keeping delivery priorities aligned to client needs in a fast-moving, stakeholder-heavy environment. Requires DV (or possibly SC) clearance and travel to Cambridge and London.

University of Oxford · Oxford · £39,424 – £41,336 pa

Technical researcher on the God and the Machine project, supporting Workstream 1's experimental work with large language models as a computational hermeneutic tool, and contributing to Workstream 2 as a technical expert. Involves deploying and experimenting with local models, including interpretability, activation steering or machine unlearning, using Python and machine-learning frameworks within a theology and religion faculty.

Luminance · London

You guide enterprise legal teams through concurrent implementations of an AI contract intelligence platform, running discovery sessions, translating requirements into scalable configurations, and delivering training to varied user groups. Working with Customer Success and Product, you manage milestones, flag risks early, and feed recurring patterns back into team playbooks to make future rollouts faster.

Ocado · Sofia, Bulgaria

You will be the heartbeat of a 24/7 onsite operation, orchestrating mobile robot recoveries, smashing SLAs, and analysing technical data to resolve system faults and improve asset performance. Working from the Sofia office on a rotating shift pattern, you will translate complex technical updates for stakeholders and drive incidents to timely resolution.

McGregor Boyall · London · £130,000 pa

Client-facing consulting role within a global technology consultancy's Data & AI practice, serving pharmaceutical and Life Sciences organisations. Combines hands-on Data Science and AI delivery with strategy, stakeholder engagement and pre-sales, using Python, SQL and modern Data & AI platforms including GenAI. Focus on commercial applications such as sales, marketing and customer analytics.

University of Bath · Bath

A professorial role leading research within the AI & Machine Learning group in the Department of Computer Science, with a focus on core AI areas such as generative models, NLP, reinforcement learning, and AI verification and security. The post involves strategic leadership, grant capture, industry collaboration, and research-led teaching, including links to the newly launched Bath Centre for AI.

CureAge Therapeutics · London

Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.

Databricks · London

Owns the EMEA go-to-market strategy for the Banking/Payments, Capital Markets and Insurance verticals, building growth execution plans and C-level customer and partner relationships. Works cross-functionally with sales, pre-sales, marketing and enablement to create scalable, regionally tailored sales plays, and acts as an industry thought leader through white papers and event keynotes. Requires travel for conferences and customer meetings.

Databricks · United Kingdom

Owns and grows Databricks' public sector business across the Republic of Ireland and Scotland, inheriting an established book of strategic government accounts. Runs a consumption-led sales motion, building go-to-market plans, expanding platform usage, and co-selling with AWS, Azure and Google Cloud. Requires security clearance eligibility and deep knowledge of Irish Government procurement.

Capital One · Mansfield

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using advanced feature generation and large-scale data manipulation. Consults on complex statistical test design and works cross-functionally with business partners, with a strong emphasis on Model Risk Management, validation and monitoring.

Capital One · Loughborough

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, with a strong emphasis on Model Risk Management, validation and monitoring. Involves advanced feature generation, complex statistical test design and large-scale data work in Python, collaborating closely with business partners. Hybrid role based in Nottingham, three days a week in office.

Capital One · Lincoln

Develops and maintains the statistical and machine learning models behind underwriting and customer lending decisions, using Python and advanced feature generation on large datasets. Involves model risk management, documentation and validation, plus consulting on statistical test design with business partners. Hybrid role in Nottingham, three days in-office.

Capital One · Nottingham

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using Python and large-scale data. Involves advanced feature generation, statistical test design and Model Risk Management documentation, working closely with business partners in a hybrid Nottingham team.

University of Oxford · Oxford · £39,424 – £47,779 pa

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.