Data Science Jobs

• Remote (UK)
• Remote
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for defence clients, spanning the full ML lifecycle from scoping and architecture to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, acting as a technical advisor to stakeholders. Requires UK Security Clearance eligibility and 2-4 days per week on client sites.

Scikit-learn · TensorFlow · PyTorch +5

• London
• Hybrid
• Lead · manages people
• Permanent

Sets technical direction for complex AI/ML projects, leading delivery of large-scale platforms in high-risk national security environments. Designs scalable ML systems, drives shared libraries and CI/CD infrastructure, and oversees model deployment, versioning and testing. Also manages and coaches engineers while defending architectural decisions to senior stakeholders.

Kubernetes · TensorFlow · PyTorch +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.

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

Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists, engineers and domain experts, with scope to lead projects and mentor others depending on experience.

JAX · PyTorch · TensorFlow +3

• 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.

• Oxford
• £40,178 – £48,700 pa
• Entry level
• Contract

Develop and validate multimodal machine-learning models integrating electronic health records, laboratory, molecular, imaging and digital pathology data from large-scale NHS sources. Build reproducible pipelines for heterogeneous longitudinal data within secure environments, working with clinicians, pathologists and engineers on disease progression and treatment response prediction.

NHS Data · Electronic Health Records · Secure Data Environment +2

• 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
• 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

• 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

• Didcot
• On-site
• £45,000 – £65,000 pa
• Mid-level
• Permanent

Develops predictive models and improves chemometric capabilities, working at the intersection of machine learning, chemistry and industrial process data. Collaborates with chemometricians, software developers and customer engineering teams to turn noisy real-world datasets into practical recommendations for manufacturers. Hands-on role shaping the IRis software platform, with occasional international travel.

Azure · IRmadillo · IRis

• 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

• 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.

• Mansfield
• Hybrid · 3 days in office
• Lead
• Permanent

Leads development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, working in a hybrid Nottingham office three days a week.

PyTorch · TensorFlow · Hugging Face Transformers +2

• Nottingham
• Hybrid · 3 days in office
• Lead
• Permanent

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction, stakeholder collaboration and mentoring, taking models from prototype through to production in a hybrid Nottingham team.

PyTorch · TensorFlow · Hugging Face Transformers +2

• Stratford-upon-Avon
• Remote
• Mid-level
• Contract

Hands-on product development role building and deploying machine learning and AI capabilities for an in-house AI platform, covering information extraction, classification, retrieval, summarisation and decision support. Focus on reliable structured JSON outputs, evaluation datasets, testing for accuracy, latency and cost, plus API integration with developers. Fully remote, outside IR35.

AI APIs · Vector Databases · Model Context Protocol +1