Data Science Jobs

• London
• Hybrid · 3 days in office
• Senior

Lead pharmacology and translational biology strategy for large molecule therapeutics, designing in vivo and in vitro studies and acting as Biology Lead on drug discovery projects. Coordinate internal workflows and external CROs to drive candidates toward go/no-go decisions, while feeding pharmacology data back into generative AI design loops.

Generative AI · AlphaFold

• London
• Hybrid · 3 days in office
• Senior

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. The role spans the full ML lifecycle from experimentation and benchmarking to production integration, working closely with research scientists in a cross-disciplinary drug design team.

JAX · PyTorch · XLA +6

• 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
• Flexible

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
• 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
• Hybrid
• Lead · manages people
• Permanent

Lead technical direction on complex, business-critical AI projects for life sciences clients, balancing speed, innovation and reliability. Designs production-grade ML solutions, runs feasibility studies for high-value sales, and mentors data scientists while managing technical stakeholder relationships across engineering and commercial teams.

Metaview

• 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
• Hybrid · 3 days in office
• Entry level
• Permanent

Graduate role supporting tender preparation, customer enquiries and market research for oil, gas, geothermal and CCS customers. Involves maintaining Salesforce pipeline records, SAP transactional input, financial modelling, stock checks and audit support, with hybrid working three days a week in the London office.

Salesforce · SAP · SC Core +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

• Fayetteville, United States
• Hybrid
• US$110,000 – US$170,000 pa
• Mid-level
• Permanent

Deployment Strategists embed with customer teams to turn data into operational action, meeting analysts onsite, identifying datasets, and working with Forward Deployed Engineers to build data pipelines and bespoke workflows. The role involves leading training, presenting to audiences up to C-suite, and feeding field insights back into cross-company product offerings, with 25-75% travel.

Python · R · MATLAB +1

• Edinburgh
• Remote
• £30,000 – £45,000 pa
• Entry level

A self-funded training programme leading to AI engineering employment, covering AWS Cloud Practitioner certification, Python, machine learning and AI systems through online self-paced study. Includes hands-on projects, CV and interview support, and recruitment assistance until placement, with a job guarantee or course fee refund.

AWS · TensorFlow

• London
• Remote
• Lead
• Permanent

A principal-level individual contributor role driving deep, self-directed investigations into user behaviour across acquisition, activation, usage and the wider customer journey. The work spans causal and statistical analysis, churn and other models, unstructured and AI-specific data, and opportunity sizing, with findings feeding experiments, roadmap and strategy. Distinct for its proactive, no-brief mandate and close partnership with Product, Engineering, Growth and commercial teams.