Data Science Jobs

• Loughborough
• Hybrid · 3 days in office
• Permanent

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, with a strong emphasis on Model Risk Management, validation and ongoing monitoring. Uses Python and advanced feature generation on large datasets, including Open Banking and Credit Bureau data, to support cross-functional business initiatives.

Open Banking · Credit Bureau

• Lincoln
• Hybrid · 3 days in office
• Permanent

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using Python and advanced feature generation on large datasets. Involves model risk management, validation, monitoring and consulting on statistical test design, working closely with business partners in a hybrid Nottingham team.

Open Banking

• London
• Hybrid · 3 days in office

A general expression-of-interest pipeline for experienced software engineers, ML researchers and engineers, computational chemists and technical program managers. The interdisciplinary team builds predictive and generative AI models for drug design, working across therapeutic areas and modalities. Hybrid working requires three days a week in the London office.

AlphaFold

• London
• Hybrid
• Permanent

Builds and maintains the internal delivery platform that supports over 100 data scientists and ML engineers, owning cloud infrastructure, MLOps and deployment tooling. Work spans infrastructure-as-code, DevSecOps, containerised microservices and multi-cloud integration across AWS, Azure and GCP, with a focus on removing technical friction for delivery teams.

AWS · Azure · GCP +5

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and software systems for clients in life sciences and other sectors. Work spans architectural decisions, scalable cloud infrastructure, container orchestration, and acting as a trusted technical advisor to customers while mentoring junior engineers.

AWS · Azure · GCP +2

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Architect next-generation inference services, solve core scaling limits, and set strategy and roadmaps while partnering with research, product and operations teams. Distinct for its focus on high-throughput GPU/TPU model serving within a biotech drug-discovery setting.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• 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

• 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

• 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

• 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

• Derby
• Hybrid · 1 day in office
• £60,000 – £75,000 pa
• Mid-level

Design and build data pipelines, ETL processes, APIs and microservices in Python, deploying machine learning models and statistical analysis into production. Manage AWS infrastructure (S3, Lambda, EC2, RDS, Glue) supporting data and application workloads, working with large complex datasets in an innovative technology team.

AWS · NumPy · Pandas +7

• London
• £71 ph
• Contract · Part time

Teach a 30-hour module on Understanding Environment Using GIS and Remote Sensing, running Thursdays from 14 January to 25 March 2027. The role involves managing and processing remote sensing data, environmental image processing and analysis, and modelling land cover change using machine learning, within the School of Social Sciences teaching team.

GIS Software · Remote Sensing Software

• London
• £68,087 pa
• Permanent

Contribute to research and teaching in data science and statistics within an established department, with expertise sought in statistics, machine learning or data science. The role expects a strong publication trajectory and a viable future research strategy, with collaboration encouraged across the School's institutes.

• London
• Hybrid · 2 days in office
• £62,000 – £75,000 pa

A brand new AI Engineer role within a 20-person AI team in the financial sector, working on new projects and products that use data to drive smarter decisions. Day to day involves designing, developing and deploying production-scale GenAI and AI/ML solutions, analysing large datasets, and collaborating with cross-functional teams to integrate AI into existing systems. The stack centres on Azure services and Python or C#, with LLM APIs, agents, LangChain and vector databases.

Azure · Azure Fabric · Azure Data Factory +7