Data Science Jobs

• London
• Hybrid
• Director · manages people
• Permanent

Lead Faculty's AI safety work for frontier labs, owning technical strategy across alignment, interpretability and robustness, and building a world-class R&D team. You'll design an AI safety R&D programme, oversee red-teaming and evaluations for clients like OpenAI and Anthropic, and represent the company with governments and at global events.

OpenAI · Anthropic · Metaview

• London
• Hybrid
• Senior
• Permanent

Lead high-impact AI safety projects for Frontier Labs, inventing novel evaluation frameworks and designing robust software architectures. Mentor technical team members, partner with commercial teams on scoping, and advance the science of AI evaluations through research and public speaking. Combines hands-on Python data science with project leadership in a national security and AI safety unit.

NumPy · Pandas · Inspect AI +1

• London
• Hybrid · 3 days in office
• Lead

Lead (pre)-formulation strategy for small molecules across drug discovery and preclinical development, designing technologies such as solid dispersions and co-crystals to improve solubility, stability and manufacturability. Interpret stability studies using ICH and ASAP methods, author regulatory submissions, and work with drug design, preclinical and CMC teams while managing external CRO resources.

ICH · ASAP · FDA

• London
• Hybrid · 3 days in office
• Lead

Drive DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments with an AI-first approach. Integrate DMPK, PD and toxicology data to predict human dose and safety windows, and author regulatory documents. Work closely with Chemistry, Pharmacology and AI/ML platform teams in a hybrid London setting.

R · Python · KNIME

• London

Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks platform. You own architecture and end-to-end delivery spanning data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Travel to client sites up to 50%.

Databricks · OpenAI · Anthropic +7

• London

Enterprise sales role driving adoption of Lakebase, a fully-managed serverless Postgres service for operational and AI-native applications, within a defined MEA territory. Partners with regional Account Executives to run multi-threaded sales cycles, orchestrate POCs for OLTP and reverse ETL workloads, and compete against legacy and cloud-native databases. Also acts as a force multiplier, enabling field teams and shaping go-to-market plays with Product, Marketing and Partner teams.

Databricks · Lakebase · AWS +6

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

Lead computational chemistry strategy across drug discovery programs, applying AI-first methods to hit finding, molecular design and lead optimisation. Work with ML scientists to embed generative models and ultra-large virtual screening into workflows, with optional line management of 2-3 computational chemists.

REINVENT · AlphaFold · Large Language Models +2

• 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
• 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
• Hybrid · 3 days in office
• Lead

Design and evolve a large-scale ML infrastructure platform that supports distributed training and inference workloads, working closely with research, engineering and product teams. The role also explores deploying agents to improve platform robustness and reliability, in a hybrid London setting.

Kubernetes · Google Cloud Platform · GCP

• 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

• United Kingdom
• Remote
• Lead

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), leads fine-tuning and evaluation engagements, and mentors the wider field engineering organisation.

Databricks · Mosaic AI · MLflow +7

• London
• Director · manages people

Lead a team of Enterprise Named and Strategic Account Executives covering Telco and Utilities customers across UKI, owning team quota and growing platform consumption. The role sets territory plans, individual quotas and patches, drives forecast accuracy and partners cross-functionally on a full revenue and customer success process. It reports to the RVP, Enterprise and emphasises methodology-based coaching such as MEDDPIC and value-based selling to C-suite stakeholders.

Databricks · Genie · Lakebase +4

• 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