Data Science Jobs

• London
• Hybrid · 2–3 days in office
• £90,000 – £120,000 pa
• Senior
• Permanent

Build and lead multimodal AI applications spanning text, audio and video, including AI-generated avatars and automated content summarisation, within a growing AI team in a mature data function. The role involves translating business needs into scalable production AI products and collaborating with a multidisciplinary team, with technical leadership duties at Lead level.

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

Internship on Palantir's defense product vertical, contributing production code to the Gotham platform used by military command centers. Work spans the full product lifecycle, from ideation and prototyping to shipping, on features like geospatial mapping, alert triage and ML-driven planning tools, with a dedicated mentor and small product teams.

Cassandra · Spark · Elasticsearch +5

• 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

• 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

• 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

• Ilford
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship that takes complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training designed to be completed in 6-12 months around existing commitments.

Azure · Git · GitHub

• Rayleigh
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with a guaranteed job offer or a full refund of course fees.

Microsoft Azure · Git · GitHub

• Liverpool
• Hybrid · 3 days in office
• £50,000 – £55,000 pa
• Mid-level

Builds and deploys predictive and statistical models, including customer segmentation, lifetime value, churn and forecasting, across the full data science lifecycle from problem definition to production. Works with analysts, engineers and business stakeholders in a growing team, presenting insights to non-technical audiences and helping shape best practices.

Azure · GCP

• London
• Hybrid
• Mid-level
• Permanent

Delivers bespoke production-grade machine learning systems for government and national security clients, covering the full ML lifecycle from scoping and architecture to deployment. Works with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, acting as a technical advisor to stakeholders.

Scikit-learn · TensorFlow · PyTorch +5

• 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 · 2 days in office
• £62,000 – £75,000 pa

A brand new AI Engineer role within a 20-person AI team in the financial sector, working on new projects and products that use data to drive smarter decisions. Day to day involves designing, developing and deploying production-scale GenAI and AI/ML solutions, analysing large datasets, and collaborating with cross-functional teams to integrate AI into existing systems. The stack centres on Azure services and Python or C#, with LLM APIs, agents, LangChain and vector databases.

Azure · Azure Fabric · Azure Data Factory +7

• London
• £30,000 – £35,000 pa
• Junior

Early-career role contributing to greenfield development and maintenance of internal software and tools, with a central focus on an in-house AI platform supporting commercial teams. Day-to-day work includes writing Python and SQL features, building integrations and automations, and supporting projects from concept through testing and deployment.

• London
• Hybrid · 3 days in office
• £825 pd
• Senior
• Contract

Hands-on VP-level data scientist building generative AI, LLM/NLP and statistical modelling products end to end for a boutique investment bank's M&A and advisory bankers. Works in a small team taking prototypes into production, writing production-quality Python and explaining models to senior non-technical stakeholders. M&A experience is essential.

• Bristol
• Hybrid · 2 days in office
• £450 – £480 pd
• Senior
• Contract

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. The role covers ML pipelines, MLOps deployment, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.

TensorFlow · PyTorch · OpenAI +5

• Manchester
• Mid-level

Day-to-day work centres on analysing and reconciling large finance datasets in SQL, investigating data quality issues across multiple systems, and defining business rules, mappings and acceptance criteria. The role also covers testing, validation and release support, producing analysis for technical and non-technical stakeholders while working with finance, risk, data and technology teams.

Power BI · Tableau · Looker +1