Data Science Jobs

• London
• Hybrid
• Lead
• Permanent

Serve as a high-level technical authority steering the most complex AI projects, architecting scalable large-scale systems and setting technical direction for flagship initiatives. Provide authoritative advice across business units, influence company-wide technical strategy, and act as a respected expert for internal teams and external customers in the financial services space.

Metaview

• 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

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

Develop next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks, autoencoders and joint gene embeddings. The project is purely computational, with experimental pancreatic cancer data supplied by the AstraZeneca and Cancer Research Horizons Functional Genomics Centre for a lab-in-the-loop validation cycle.

Perturb-seq · DepMap · Project Score

• 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.

• Derby
• 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 from raw multi-modal data. The role combines technical direction, stakeholder collaboration and mentoring, taking prototypes through to production in a hybrid Nottingham-based team.

PyTorch · TensorFlow · Hugging Face Transformers +2

• Lincoln
• 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. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

PyTorch · TensorFlow · Hugging Face Transformers +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

• London
• Hybrid · 3 days in office
• Senior

Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You'll develop machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.

AlphaFold

• 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
• £47,389 – £59,966 pa
• Entry level
• Permanent

The role involves contributing to research and teaching in statistics, broadly interpreted from theoretical mathematical statistics to foundations of machine learning, within the world-leading Statistical Laboratory. The post-holder will lecture undergraduate and master's courses, pursue research funding, and build interdisciplinary collaborations across Cambridge and internationally.

• 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

• 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

Develops and maintains LLM instruction iterations and evaluation frameworks, including automated eval pipelines, LLM-as-a-judge methodologies, rubric design and dataset curation. Runs A/B tests, causal inference and large-scale multimodal analysis to improve conversational shopping quality, partnering with applied scientists and engineers to productionise insights.

MCP · ETL

• London
• On-site
• £130,000 – £180,000 pa
• Director · manages people
• Permanent

Lead the entire AI research strategy for a financial crime intelligence business, building and managing a team of researchers and ML engineers while staying hands-on. Work spans LLM fine-tuning, agentic systems, vision models, evaluation frameworks and explainability standards for highly regulated AML, compliance and fraud detection use cases, taking research from concept through to production.

LLMs

• 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