Data Science Jobs

• London
• Hybrid · 3 days in office
• Mid-level · manages people

Conducts core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry use cases. Builds and scales training and inference frameworks, tunes experiments, and collaborates with interdisciplinary scientists. Senior candidates may lead standalone projects and mentor the ML community.

JAX · PyTorch · TensorFlow +3

• 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

• London
• Remote

Outlier is an AI training platform owned and operated by Scale AI. Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models.About the opportunity:We are seeking detail-oriented English speakers to review AI-generated…

• London
• Remote

Outlier is an AI training platform owned and operated by Scale AI. Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models.About the opportunity:We are seeking detail-oriented English speakers to review AI-generated…

• Crawley
• Hybrid
• Junior

Supports business strategy through market, competitor and industry research, data analysis and reporting for senior stakeholders. Contributes to strategic projects, business planning and evaluation of new markets, commercial opportunities and potential acquisitions. Requires 1-3 years' analytical or commercial experience, with Power BI, market research or AI tools beneficial.

Excel · PowerPoint · Power BI

• London
• Hybrid · 1 day in office
• Senior · manages people
• Permanent

Lead a multidisciplinary engineering team building dominAI, an AI-powered defence product, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. Own delivery end-to-end, hiring and people development, partnering with Product and technical leads. Hybrid, one day a week in Shoreditch.

TypeScript · React · Node

• Sydney, Australia
• Hybrid
• Mid-level
• Permanent

Designs and delivers bespoke data science solutions for clients across government, finance, retail, energy and life sciences, mapping end-to-end approaches and software architecture. Acts as a technical advisor, scoping new projects and setting the technical bar for delivery teams, with strong Python, NumPy, Pandas and TensorFlow/PyTorch work.

Python · NumPy · Pandas +3

• London
• Hybrid
• Lead · manages people
• Permanent

Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor data scientists, and translate complex challenges into rigorous scientific frameworks while guiding cross-functional teams.

NumPy · Pandas · Inspect AI +1

• 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

• Dundee
• £37,694 – £46,049 pa
• Contract

Develop and apply AI, machine learning and Bayesian statistical models to longitudinal electronic health record, retinal imaging, genomic and proteomic data to predict health outcomes and biological ageing in people with diabetes. Work across clinical and computing groups, curating data in safe havens and validating prediction models, in collaboration with Eli Lilly.

Python · SQL · R +2

• Yeovil
• £52,186 – £56,000 pa
• Senior · manages people
• Permanent

Lead the delivery of customer, business and operational insight to support strategic decision-making, managing and developing a team of analysts. The role involves advanced SQL analysis, segmentation, predictive modelling and Power BI reporting, translating complex data into recommendations for senior stakeholders.

Power BI · SSRS · SSIS

• London
• £90,000 – £120,000 pa

This role involves analyzing complex sports datasets to develop and refine quantitative models that inform trading strategies. You'll apply statistical techniques and probability to identify patterns in sports data, working closely with analysts, developers, and traders. The position emphasizes model validation, performance assessment, and clear communication of findings in a fast-paced, data-driven environment.

• 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

Develops and tests an integrated sensing and modelling framework for predicting fine-scale forest microclimate in Amazonia, combining low-cost sensor networks, physics-based models and machine learning with Lidar and satellite data. The role involves sensor calibration, model validation, uncertainty propagation and possible fieldwork in Brazil, with scope to emphasise hardware, modelling or data science.

R · Python · Lidar +1

• London
• Remote
• Lead
• Permanent

Hands-on principal IC role building and operating the ML platform that lets researchers and product teams train, serve and deploy generative models. Work spans research infrastructure, production serving, internal tooling and agent-oriented automation, with a focus on reliability, scalability, GPU scheduling and cost efficiency across cloud and Kubernetes.

Kubernetes · Terraform · Datadog +4