Data Science Jobs

• 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

• Washington, United States
• On-site
• 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 C-suite audiences, and feeding field insights back into cross-company product offerings, with 25-75% travel.

Python · R · MATLAB +1

• Washington, United States
• On-site
• US$110,000 – US$170,000 pa
• Mid-level
• Permanent

Deployment Strategists embed with customer teams to turn data into operational action, meeting analysts on-site, 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

• 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
• 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
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Architect next-generation inference services, solve core scaling limits, and set strategy and roadmaps while partnering with research, product and operations teams. Distinct for its focus on high-throughput GPU/TPU model serving within a biotech drug-discovery setting.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• London
• Hybrid · 3 days in office

A general expression-of-interest pipeline for experienced software engineers, ML researchers and engineers, computational chemists and technical program managers. The interdisciplinary team builds predictive and generative AI models for drug design, working across therapeutic areas and modalities. Hybrid working requires three days a week in the London office.

AlphaFold

• Washington, United States
• On-site
• US$110,000 – US$170,000 pa
• Mid-level
• Permanent

Deployment Strategists embed with customer teams to turn data into operational action, exploring datasets, building bespoke workflows, and integrating data pipelines alongside Forward Deployed Engineers. The role involves onsite customer work, training sessions, demos, and presenting to audiences from analysts to C-suite, with 25-75% travel and a Python/R/SQL background valued.

Python · R · MATLAB +1

• London
• Hybrid
• Mid-level
• Permanent

Works embedded with UK government customer teams, meeting analysts to identify pain points, integrating datasets with Forward Deployed Engineers, and building bespoke workflows. Leads training sessions, presents results to audiences up to C-suite, and builds demos, with 25-75% travel and possible security clearance.

Python · R · MATLAB +1

• Honolulu, United States
• On-site
• US$110,000 – US$170,000 pa
• Mid-level
• Permanent

Deployment Strategists embed with customer teams, often on-site, to understand their critical questions, locate relevant datasets, and work with Forward Deployed Engineers to build data pipelines and bespoke workflows. They lead training, present results to analysts and senior leaders, and feed field insights back into cross-company product offerings. Requires an active US Top Secret clearance and up to 25% travel.

Python · R · MATLAB +1

• Chicago, United States
• Hybrid
• Mid-level
• Permanent

Deployment Strategists embed with customer teams to turn data into operational action, exploring workflows, identifying key problems and integrating datasets into stable pipelines alongside Forward Deployed Engineers. The role involves building customised workflows, leading training, presenting to analysts through C-suite, and scoping new engagements, with 25-75% travel and a Chicago base.

Python · R · MATLAB +1

• London
• Hybrid
• Mid-level
• Permanent

Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates in small teams like a hands-on AI startup CTO, feeding field learnings back into the Palantir AIP product suite. Requires travel up to 25% to client sites.

Palantir AIP

• Sydney, Australia
• Hybrid
• Entry level
• Internship

Forward Deployed Software Engineers work directly with customers to understand their hardest problems and build data-driven solutions, spanning architecture discussions, large-scale data wrangling, custom web apps and executive-level strategy. Interns own end-to-end execution of high-stakes projects in small, lightly supervised teams, working with Python, Java, C++ or TypeScript.