Data Science Jobs

• London
• Senior

Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and AI workloads on the Databricks Data Intelligence Platform. Specialise in GenAI solutions including RAG architectures, agentic systems, MLOps and LLMOps, while mentoring colleagues and supporting the technical sales cycle with MVPs and deep-dive sessions.

Databricks · AWS · Azure +7

• 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
• Mid-level
• Permanent

Build and scale AI-powered systems for government and public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.

AWS · Azure · GCP +6

• London
• Remote
• Lead
• Permanent

Hands-on principal IC role building and operating the ML platform that lets researchers and product teams train, serve and deploy generative models. Work spans research infrastructure, production serving, internal tooling and agent-oriented automation, with a focus on reliability, scalability, GPU scheduling and cost efficiency across cloud and Kubernetes.

Kubernetes · Terraform · Datadog +4

• New York, United States
• On-site
• US$10,500 pm
• Entry level
• Internship

Interns contribute production code directly to Palantir's Gotham defense product, working across the full lifecycle from ideation and prototyping to shipping. Paired with a dedicated mentor, they build mission-critical tools like geospatial mapping and alert-triaging systems using Java, Go, TypeScript, React, and Spark.

Cassandra · Spark · Elasticsearch +5

• Palo Alto, United States
• On-site
• US$10,500 pa
• Entry level
• Internship

Interns contribute production code directly to Palantir's Gotham defense product, working across the full lifecycle from ideation and prototyping to shipping. Paired with a dedicated mentor, they build mission-critical tools like geospatial mapping and alert-triaging systems in small product teams using Java, Go, TypeScript, React and Spark.

Cassandra · Spark · Elasticsearch +5

• 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
• 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

• Winchester
• Director · manages people

Lead the Enterprise Architecture function, owning architecture principles, standards, governance and assurance across business applications, SaaS, data, cloud, infrastructure, networks, security, AI and OT. Acts as senior technical authority, chairs the Architecture Review Board, and manages internal architects plus third-party partners.

SaaS · Operational Technology

• London
• On-site
• Senior
• Permanent

Senior individual contributor building the shared platform, tooling and infrastructure for an interdisciplinary chem-bio research team. Work spans LLM-based agent systems, evaluation frameworks, cloud and container infrastructure, and production Python, translating varied research needs into maintainable systems while mentoring engineers without line management.

AWS · Kubernetes · Slurm +2

• 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

• Loughborough
• Hybrid
• Mid-level

Hands-on role in a Group IT Data & AI team, owning use cases end to end from problem definition and feature engineering through model development, deployment and monitoring. Work spans BI, advanced analytics, ML and AI solutions in Python, SQL and Spark on cloud platforms, with accountability for measurable commercial value and input into governance standards.

Spark

• Manchester
• On-site
• £550 – £600 pd
• Mid-level
• Contract

Contract role developing and evaluating AI/ML solutions, including classical models and LLM-based applications on Google Cloud Platform. Involves prompt engineering, RAG concepts, experiment design, model evaluation and documentation, plus requirements gathering, code review and troubleshooting alongside project managers and developers.

GCP · LLM · RAG

• Slough
• Hybrid · 2–3 days in office
• £330 – £360 pd
• Junior
• Contract

Hands-on role building, validating and optimising basic models and data pipelines across the data science lifecycle, from exploratory analysis to cloud-based automation of decision-making. Work spans churn reduction, customer lifetime value, stock management and marketing effectiveness, collaborating in a data science team and with stakeholders in the telecoms sector.

scikit-learn · PySpark

• London
• Hybrid
• Senior
• Permanent

Owns the end-to-end product lifecycle for enterprise AI services within the Snowflake Cortex team, from discovery and roadmap definition to launch and metrics analysis. Leads a cross-functional pod of engineers, data scientists and solution architects, translating bespoke customer deployments into scalable platform features while working closely with GTM and customer leadership.

Snowflake · Snowflake Cortex · Snowflake Data Cloud