Data Science Jobs

• Manchester
• Hybrid
• £48,337 – £59,390 pa
• Mid-level
• Contract

Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing complex biological and chemical datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML expertise, training and support to computational and experimental colleagues.

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people

Lead medicinal chemistry on drug discovery projects from initiation through to clinical candidate selection, working as a Project Lead or Medicinal Chemistry Lead. Partner closely with ML scientists to refine the AI drug design platform, manage CRO resources and KPIs, and generate intellectual property. Some roles include line managing a team of 2-4 medicinal chemists.

AlphaFold

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people

Lead computational drug design programs from initiation through to clinical candidate selection, working alongside ML scientists to embed AI/ML into chemistry workflows. Roles span Program Lead or Computational Chemistry Lead, with some positions managing 2-3 computational chemists. Requires Python, cheminformatics and a track record of project leadership.

REINVENT · AlphaFold

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

Postdoctoral role delivering research on innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications using heterogeneous data, as part of an Innovate UK-funded collaborative project. Involves developing 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

• Southampton
• On-site
• £37,369 – £45,641 pa
• Mid-level
• Contract

Investigate type 2 diabetes mechanisms by integrating organ-health measures with large-scale genetic and clinical data. Apply machine learning, GWAS and Mendelian randomisation to identify diabetes subtypes and predict disease risk, working with UK Biobank and multidisciplinary teams.

Linux · UK Biobank

• London
• Hybrid
• £43,981 – £54,019 pa
• Mid-level
• Contract

Conduct original independent research under a Principal Investigator in areas such as data science, machine learning, biomedical and environmental statistics, causal inference and applied probability. Produce conference presentations and top-journal publications, contribute to the department's research environment, and take on a limited teaching load (around 20% of a typical academic load).

• London
• £40,603 – £67,776 pa
• Senior · manages people
• Contract

Develops tools for multivariate analysis of neuroimaging data (anatomical MRI, fMRI, M/EEG, OPMs), releases them to the community via SPM, and conducts a mathematical review of existing multivariate techniques. Based in the Neurovascular Modelling Group within UCL's Methods Group, the post requires Bayesian model development, Variational Bayes derivations and strong programming skills.

MATLAB · SPM · MRI +3

• Guildford
• £38,448 – £46,970 pa
• Entry level
• Contract

Postdoctoral fellow role applying informatics, data science, machine learning and AI to animal health and welfare within the vHive and Health and Biomedical Informatics Group. Responsibilities include computational data analysis, in-silico drug repurposing, knowledge representation, biomarker discovery from proteomics and transcriptomics, and collaboration with industry partner Zoetis.

R · Python

• London
• Mid-level

Lead and contribute to interdisciplinary research on how frontier AI systems influence human decisions, designing large-scale studies, RCTs, and model evaluations. The role spans computational social science, AI safety, and machine learning, with opportunities to publish, set research agendas, and engage policymakers and frontier labs.

Claude Code · Codex

• Sheffield
• £32,722 – £39,560 pa
• Permanent

Teach data science and analytics on undergraduate and postgraduate programmes using an applied, project-based approach rather than traditional lectures. Spend most classroom time guiding students through industry-style projects, connecting their work to real-world practice. Based in a large computing school with unusual facilities including a PlayStation development lab, Azure lab services and humanoid robots.

Microsoft Azure · PlayStation

• London
• Senior

Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and AI workloads on the Databricks Data Intelligence Platform. Specialise in GenAI solutions including RAG architectures, agentic systems, MLOps and LLMOps, while mentoring colleagues and supporting the technical sales cycle with MVPs and deep-dive sessions.

Databricks · AWS · Azure +7

• Dundee
• £37,694 – £46,049 pa
• Contract

Develop and apply AI, machine learning and Bayesian statistical models to longitudinal electronic health record, retinal imaging, genomic and proteomic data to predict health outcomes and biological ageing in people with diabetes. Work across clinical and computing groups, curating data in safe havens and validating prediction models, in collaboration with Eli Lilly.

Python · SQL · R +2

• Fayetteville, United States
• Hybrid
• US$110,000 – US$170,000 pa
• Mid-level
• Permanent

Deployment Strategists embed with customer teams to turn data into operational action, meeting analysts onsite, identifying datasets, and working with Forward Deployed Engineers to build data pipelines and bespoke workflows. The role involves leading training, presenting to audiences up to C-suite, and feeding field insights back into cross-company product offerings, with 25-75% travel.

Python · R · MATLAB +1

• London
• Remote
• Lead
• Permanent

A principal-level individual contributor role driving deep, self-directed investigations into user behaviour across acquisition, activation, usage and the wider customer journey. The work spans causal and statistical analysis, churn and other models, unstructured and AI-specific data, and opportunity sizing, with findings feeding experiments, roadmap and strategy. Distinct for its proactive, no-brief mandate and close partnership with Product, Engineering, Growth and commercial teams.

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

Builds and evaluates machine learning models that predict Strep A outbreak risk from multiple real-world datasets, turning them into early-warning signals. Works closely with clinicians and an engineering team so the analysis feeds into a practical public health tool. Combines health data, time series and mathematical modelling in a cross-disciplinary research setting.