Data Science Jobs

• 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

• 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

• Liverpool
• Hybrid · 1 day in office
• £65,000 – £70,000 pa
• Senior

Number two in the Business Intelligence function, leading multidisciplinary teams across Insight, Data Science, Machine Learning, Governance and Labour Market Intelligence. The role is strategic and influence-led rather than hands-on, shaping analytics strategy, data governance frameworks and AI initiatives while advising Executive and Board-level stakeholders.

Power BI · Snowflake · SQL

• 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

• 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

• Remote (UK)
• Remote
• Senior
• Permanent

Lead the design, build and deployment of production-grade machine learning systems for defence clients, covering architecture, scalable infrastructure and MLOps standards. Work cross-functionally with engineers, data scientists and commercial teams, and act as a trusted technical advisor to customers while mentoring junior engineers. Requires eligibility for UK Security Clearance and 2-4 days per week on client sites.

TensorFlow · PyTorch · AWS +5

• 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

• 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

• Manchester
• Senior · manages people

Lead technical delivery of AI, machine learning and data science solutions for major financial services clients, including architecture design, production model deployment and mentoring small teams of data scientists. Client-facing role requiring strong Python, SQL, Spark and cloud experience, with LLM, prompt engineering and RAG knowledge advantageous.

Pandas · Scikit-Learn · Spark

• 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

• Manchester
• On-site
• £550 – £600 pd
• Mid-level
• Contract

Contract role developing and evaluating AI/ML solutions, including classical models and LLM-based applications on Google Cloud Platform. Involves prompt engineering, RAG concepts, experiment design, model evaluation and documentation, plus requirements gathering, code review and troubleshooting alongside project managers and developers.

GCP · LLM · RAG

• London
• Mid-level
• Permanent

Hands-on data science role focused on Amazon's Rufus conversational shopping assistant, analysing multimodal datasets and building ML models for NLP, retrieval and recommender systems. Responsibilities span A/B test design, causal inference, metric and dashboard development, and translating insights into production systems with scientists and engineers.

Large Language Models · Knowledge Graphs · ETL

• Liverpool
• Hybrid · 3 days in office
• £50,000 – £55,000 pa
• Mid-level

Builds and deploys predictive and statistical models, including customer segmentation, lifetime value, churn and forecasting, across the full data science lifecycle from problem definition to production. Works with analysts, engineers and business stakeholders in a growing team, presenting insights to non-technical audiences and helping shape best practices.

Azure · GCP

• Norwich
• £39,000 – £46,500 pa
• Entry level
• Contract

Integrate and analyse heterogeneous dietary, microbiome, metabolomic and mental-health datasets, building reproducible statistical workflows for longitudinal and multi-omics data. Apply causal-inference and validated machine-learning models to predict health outcomes and investigate diet-microbiome-mental-health relationships within a research group.