Data Science Jobs

• 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

• 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
• 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 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
• On-site
• Internship

A one-week unpaid work placement at Faculty's London offices for service veterans in their last 12 months of regular service, offering structured exposure to roles, processes and people across the Defence Business Unit. Participants gain insight into how a leading UK AI company operates and how machine learning is applied to defence challenges such as surveillance, reconnaissance and autonomous systems.

Metaview

• 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

• 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.