Data Science Jobs

• Mansfield
• Hybrid · 3 days in office
• Permanent

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. Python coding and Open Banking or Credit Bureau data experience are central.

Open Banking · Credit Bureau Data

• Nottingham
• Hybrid · 3 days in office
• Permanent

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 statistical test design and works cross-functionally with business partners, with a strong emphasis on Model Risk Management, validation and monitoring.

Open Banking · Credit Bureau Data

• London
• Hybrid
• Senior
• Permanent

Lead original technical research in AI safety, steering projects from initial question to peer-reviewed publication. Work spans interpretability, steering vectors, goal drift, machine unlearning and uncertainty calibration for transformer LLMs and agentic systems, with outputs informing frontier labs and government institutes. Involves building reproducible research code in PyTorch and Python and collaborating with red-teaming and evaluation teams.

PyTorch · Transformer · Metaview

• London
• Hybrid · 3 days in office
• Senior · manages people

Lead computational chemistry strategy across drug discovery programs, applying AI-first methods to hit finding, molecular design and lead optimisation. Work with ML scientists to embed generative models and ultra-large virtual screening into workflows, with optional line management of 2-3 computational chemists.

REINVENT · AlphaFold · Large Language Models +2

• London
• Hybrid · 3 days in office
• Senior

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. The role spans the full ML lifecycle from experimentation and benchmarking to production integration, working closely with research scientists in a cross-disciplinary drug design team.

JAX · PyTorch · XLA +6

• London
• Hybrid
• Mid-level
• Permanent

Delivers bespoke production-grade machine learning systems for government and national security clients, covering the full ML lifecycle from scoping and architecture to deployment. Works with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, acting as a technical advisor to stakeholders.

Scikit-learn · TensorFlow · PyTorch +5

• 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.

• Exeter
• £21,805 pa
• Contract

Develops a multiscale Scientific Machine Learning digital-twin framework to predict thermal trajectories, torque capability and efficiency in low-speed, high-torque electric propulsion under extreme duty cycles. Combines physics-informed hybrid architectures (DNNs, neural state-space models, Neural ODEs) with safety-constrained dynamometer experiments at the Centre for Future Clean Mobility, in collaboration with marine power-systems company Ecomar Innovations.

Neural Ordinary Differential Equations · Deep Neural Networks · Recurrent Neural Networks +1

• 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.

• Oxford
• On-site
• £49,119 – £59,955 pa
• Senior · manages people
• Contract

Lead a research strand on Bayesian methods for evaluating and monitoring AI systems, publishing findings and guiding research assistants and students. You will also lead the lab's open-source software and translate results into policy-facing outputs, working with the Oxford Martin AI Governance Initiative. The role is fixed-term for two years.

• Sheffield
• Hybrid
• £39,560 – £43,099 pa
• Entry level
• Contract

Postdoctoral role in a world-leading NLP group, using explainable NLP and ML to analyse online disinformation narratives and integrate findings into a user-facing verification toolkit. You will also evaluate commercial chatbots and AI-generated search overviews, working with European partners on the ANTIGONE project and leading publication of results.

Chatbots · AI-Generated Search Overviews

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

An interdisciplinary PhD developing miniaturised, low-power sensing hardware co-designed with AI for field monitoring of wild animals, including individual recognition and automated behavioural and physiological quantification. Systems are benchmarked under controlled conditions then validated on wild jackdaws and West African field sites, spanning behavioural ecology, electronic engineering and data science.

Thermal Imaging · Cameras · Microphones

• 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

• London
• £46,261 – £48,679 pa
• Mid-level
• Contract

Develop and evaluate novel AI algorithms to quantify brain iron load from standard-format MRI data, with a focus on quantitative susceptibility mapping (QSM). Based in UCL's Hawkes Institute, a multidisciplinary grouping at the intersection of engineering and health, the post is funded for four months.

MRI

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

Develop novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, working with Professor Pier Palamara in the Palamara Group. Research spans genomic language models, multimodal and federated learning, and multi-trait/multi-ancestry methods applied to biobank-scale datasets for association testing, fine-mapping and polygenic prediction. The role also involves building reproducible research software, publishing, and guiding junior researchers.