Machine Learning Jobs

• London
• Hybrid
• £95,000 – £125,000 pa
• Senior
• Permanent

Architect and implement Databricks Lakehouse solutions covering ingestion, processing, storage, governance and analytics for enterprise clients. The role involves leading architectural engagements, tuning workloads for performance and cost, and building CI/CD pipelines with Databricks Repos, GitHub Actions and Azure DevOps, while advising clients on data strategy and governance.

Databricks · Delta Lake · Spark +7

• London
• Remote
• £85,000 – £110,000 pa
• Lead

Designs and evolves AWS-based data architectures while supporting AI, machine learning and agentic AI initiatives. Acts as a trusted technical advisor to customers, driving data governance, observability, quality and lineage standards, and shaping architecture, tooling and best practices across the platform. Combines hands-on data platform design with technical leadership and AI strategy in a fully remote UK role.

AWS · Python · SQL +1

• London
• Hybrid
• Senior

Customer-facing role building and productionising data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams from engineers to executives, delivering production-grade reference architectures and reusable accelerators, with around 20% travel.

Databricks · AWS · Azure +7

• London
• Senior

Customer-facing engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. You embed with client teams, from technical ICs to executives, to scope and deliver big data and ML/AI projects, contributing reusable accelerators and product feedback. Requires hands-on coding in Python, Scala or TypeScript, deep Apache Spark and cloud expertise, with around 20% travel to customer sites.

Databricks · Apache Spark · AWS +7

• Sunbury-on-Thames
• Hybrid
• Senior

Designs, builds and operates scalable cloud data platforms, ELT/ETL pipelines and analytical datasets supporting Finance, with Azure and Databricks/Fabric/Snowflake preferred. Combines strong software engineering (CI/CD, testing, automation) with data modelling, governance and technical leadership, mentoring engineers and working with product, architecture and Finance stakeholders.

Azure · Databricks · Microsoft Fabric +5

• London
• £84,000 – £126,000 pa
• Senior

Joins the Data Analytics Team within the EMEA Data Management Office to build out data science capability, developing proofs of concept that show where machine learning and statistical modelling can deliver measurable business value. Works hands-on with Python across the full data science lifecycle, from exploratory analysis and feature engineering to model evaluation, while translating business problems into analytical use cases and presenting findings to technical and non-technical stakeholders. Requires comfort with ambiguity and siloed, disconnected data, plus mentoring colleagues and establishing reusable standards and best practices.

• Dublin, Ireland
• Hybrid · 2 days in office
• £388 – £474 pd
• Mid-level
• Contract

Hands-on engineering role owning AI/ML initiatives end-to-end, from solution design and experimentation through deployment, monitoring and optimisation. Involves building production ML and GenAI solutions including RAG architectures, working with Snowflake and cloud data platforms, and applying MLOps, CI/CD and DevSecOps practices within cross-functional teams.

Snowflake · AWS · Linux +2

• United Kingdom
• Remote
• Senior
• Permanent

Own the transformation layer between raw data and business decisions, modelling data in dbt and defining the certified KPI layer for product, finance and company-wide metrics. Partner with Data Engineering on warehouse architecture and turn ambiguous stakeholder questions into trusted, reusable data products, including data served through AI agents.

dbt · BigQuery · Python +4

• Eastleigh
• Hybrid
• £50,000 – £70,000 pa
• Permanent

Builds and supports data products on a modern cloud data platform, developing and optimising pipelines and integrating varied sources with strong quality standards. Works in agile squads with data and AI engineers, scientists and architects, using PySpark, Python, SQL and Databricks or Snowflake on AWS, plus Airflow, Terraform and Kubernetes.

Databricks · Snowflake · AWS +7

• London
• Hybrid
• £70,000 – £90,000 pa
• Senior
• Permanent

Designs and builds modern machine learning and AI services within a collaborative data team, developing and optimising data pipelines across a cloud analytics platform. Works with PySpark, Python, SQL, Databricks or Snowflake on AWS, supporting ML and GenAI infrastructure in agile squads.

Databricks · Snowflake · AWS +7

• London
• Hybrid
• Senior · manages people
• Permanent

Lead high-impact AI projects for retail and consumer clients, defining data science approaches, designing software architectures, and mentoring colleagues. Own the technical side of client relationships, scope projects, and embed responsible AI practices while delivering bespoke algorithms and production-grade systems.

Metaview

• London
• Mid-level

Day-to-day responsibility for requesting data, monitoring and enhancing Key Risk Indicators and Management Information (MI) for first-line financial crime risk. Builds and maintains MI dashboards, automated data pipelines and analytical tooling using Python, SQL, Power BI or Tableau, and partners with 2LOD and Data Engineering to improve data quality and governance. Distinct for its strategic ownership of the financial crime data and analytics roadmap within an asset management and insurance group.

Power BI · Tableau · AWS +2

• New York, United States
• Hybrid
• Lead

Lead the ML approach to manufacturing and MRO data, taking models from design through deployment in customer production environments across cloud, on-prem and edge. Work with sparse, drifting sensor and process data, fusing physics simulation with shop-floor measurement, and set uncertainty quantification and validation standards. Requires travel to customer sites 3-4 weeks per quarter and mentoring of engineers and data scientists.

PyTorch · Pandas · FastAPI +2

• London
• Hybrid
• Senior
• Permanent

Builds and maintains shared onboard runtime foundations for autonomous vehicles, including application frameworks, communication middleware, lifecycle management, health monitoring and observability. The role focuses on end-to-end latency and performance profiling across OS scheduling, memory hierarchy and compute platforms, with automated benchmarks and CI regression checks. Works closely with engineering teams and middleware suppliers to set shared APIs and architectural direction.

NVIDIA Nsight · Lumos · tegrastat +5

• New York, United States
• Hybrid · 2–3 days in office
• US$120,000 – US$240,000 pa

Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation engineers and customers. Owns data pipelines and production-ready models, and travels to customer sites roughly 3-4 weeks per quarter to co-develop solutions on-site.

NumPy · SciPy · Pandas +2