Data Science Jobs

• 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

• London
• Hybrid
• Senior
• Permanent

Lead end-to-end delivery of complex AI and data science projects for UK government national security clients, acting as a commercial and delivery lead. Bridge cutting-edge AI research and operational mission needs, build trusted relationships with government partners, and develop proposals and RFP responses to unlock new strategic AI use cases. Mentor multidisciplinary teams while supporting sector strategy and commercial growth.

Metaview

• New York, United States
• Hybrid
• Senior
• Permanent

Builds the front-end tooling and interfaces that let users construct data-intensive applications on Palantir Foundry, working in TypeScript, React and GQL with Blueprint components. Involves architecting state management and access patterns, owning APIs and schemas, and iterating with users and designers on complex UX. May include a Frontline rotation embedded with customers.

TypeScript · React · GraphQL +6

• London
• Senior · manages people

Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. The role involves low-level systems debugging, performance optimisation on large production clusters, architecture design, and technical leadership including mentoring and sprint planning. Distinct for its scale: millions of VMs, terabytes of logs and exabytes of data daily, with active open-source contribution.

Databricks · Delta Lake · Apache Iceberg +6

• London
• Senior

Founding backend engineer role building the Lakebase managed Postgres transactional layer, spanning control plane, proxy data path, and platform reliability. Work covers large-scale distributed systems, high-throughput connection routing, SLI/SLO definition, and AI-powered automation across AWS, GCS, and Azure storage backends.

AWS S3 · GCS · Azure Blob Storage +6

• Leicester
• Hybrid · 3 days in office
• Lead
• Permanent

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction, stakeholder collaboration and mentoring, taking ideas from prototype through to production in a hybrid Nottingham-based team.

PyTorch · TensorFlow · Hugging Face Transformers +1

• Loughborough
• Hybrid · 3 days in office
• Lead
• Permanent

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

PyTorch · TensorFlow · Hugging Face Transformers +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

• 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

• New York, 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, exploring datasets and partnering with Forward Deployed Engineers to build pipelines and customised workflows. The role involves onsite work, training users, and presenting to audiences from analysts to C-suite, with travel of 25-75% and some deployment to internal Palantir teams.

Python · R · MATLAB +1

• New York, United States
• Hybrid
• US$135,000 – US$200,000 pa
• 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 strong engineering and ML foundations plus up to 25% travel to client sites.

Palantir AIP

• Washington, United States
• Hybrid
• US$135,000 – US$200,000 pa
• Mid-level
• Permanent

Builds elegant, robust APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime for hundreds of microservices. Works with forward deployed and customer engineers on a PaaS for US Government customers in sensitive, air-gapped and edge environments, shaping strategy for an early-stage product.

Kubernetes · Palantir Apollo · PaaS

• New York, United States
• Hybrid
• US$135,000 – US$200,000 pa
• Mid-level
• Permanent

Builds elegant, robust APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime serving hundreds of microservices. Works with forward deployed and customer engineers on a secure, compliant PaaS for US Government customers, shaping strategy for an early-stage product.

Kubernetes · Palantir Apollo · PaaS

• Seattle, United States
• Hybrid
• US$135,000 – US$200,000 pa
• Mid-level
• Permanent

Builds robust APIs and Kubernetes controllers for Mission Manager, Palantir's PaaS that lets US Government customers run software securely in disconnected, cloud, or edge environments. Works with forward deployed engineers to close product gaps and shape a long-term infrastructure roadmap for a platform still in its earliest days.

Kubernetes · Palantir Apollo · PaaS

• 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