Data Science Jobs

• London
• Hybrid · 3 days in office
• Director · manages people

Lead all externalised drug discovery and preclinical lab operations, building and scaling a global CRO infrastructure for an AI-first drug design platform. Oversee experimental throughput, data QC and turnaround times, embed data-generation-by-design standards, and manage vendor governance, budgets and a team of CRO leads and operations managers.

AlphaFold

• London
• Hybrid · 3 days in office
• Lead

Lead medicinal chemistry strategy across drug discovery programmes, from hit identification through lead optimisation to candidate nomination, while working hands-on as an individual contributor. Partner closely with AI/ML platform teams to refine predictive models and manage CRO resources, mentoring junior colleagues in a hybrid London team.

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
• Director · manages people
• Permanent

Owns and grows major Life Sciences accounts, acting as a strategic partner to pharma, academic and MedTech clients. Leads a cross-functional team of delivery and engagement specialists, driving commercial negotiations, sales planning and forecasting while translating complex AI concepts into client use cases. Combines business development with mentorship and thought leadership at industry events.

Metaview

• 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