Machine Learning Jobs

• 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

• United Kingdom
• Remote
• Mid-level
• Permanent

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams across Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

dbt · Python · SQL +2

• London
• Hybrid · 4 days in office
• £65,000 – £80,000 pa
• Permanent

Hands-on role building complete software and data systems end to end, from architecture through to production, for an investment management firm's internal platforms. Work spans Python and SQL backends, REST APIs, data pipelines, cloud infrastructure and applied AI/LLM tools for document processing, reporting and automation, with ownership of solutions from concept to deployment.

Azure · PostgreSQL · FastAPI +5

• 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
• Remote
• £80,000 – £110,000 pa
• Lead

Owns and shapes a cloud data platform as an initial senior individual contributor, designing scalable AWS-based architectures, ETL/ELT pipelines and analytical datasets. Builds APIs and trusted data products for enterprise clients while supporting machine learning and AI initiatives, with governance, lineage and observability standards. Works with Product, Engineering and Data Science, with scope to build and lead a future data team.

AWS · Power BI · Tableau +2

• Southampton
• Remote
• £85,000 – £100,000 pa
• Lead

Own the design and build of scalable data platforms, pipelines and secure data services on AWS, spanning S3, Glue, Redshift, Athena, Lambda and Step Functions. Combines hands-on engineering with technical leadership, setting standards for data quality, governance and observability while enabling ML, AI and business intelligence across a venture-backed AI company.

AWS · S3 · AWS Glue +5

• Sofia, Bulgaria
• Hybrid
• Senior

Maintains and improves a live customer-facing slot-availability application while writing Terraform/OpenTofu infrastructure as code for cloud environments. Extends backend services, APIs and data pipelines, and modernises the platform by tuning Airflow/Composer and reducing technical debt. Works in a small distributed team with monitoring, alerting and incident response duties.

Python · TypeScript · Terraform +7

• London
• On-site
• £90,000 – £120,000 pa
• Senior
• Permanent

Embedded in portfolio companies to deliver data science and machine learning initiatives, partnering with C-suite stakeholders to define problems with measurable commercial value. You own projects end to end, from discovery and modelling through deployment and scaling, across use cases like pricing, sales optimisation and fraud reduction. The role sits in a deployment team within an investment and private equity ecosystem, balancing technical rigour with pragmatic delivery.

AWS · GCP · Azure +1

• 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
• Hybrid · 2–3 days in office

Owns the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition tooling. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes

• Cambridge
• Hybrid · 2–3 days in office

Own the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition. Operate the platform that trains, evaluates and serves models in production, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes

• 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
• Hybrid
• Senior
• Permanent

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works on Kubernetes-deployed, distributed infrastructure handling hundreds of parallel pipeline steps, batch inference and evaluation workflows, closely with partner teams.

Harness · Airflow · Dagster +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

• London
• £70,000 – £75,000 pa

Deliver technical training to graduate cohorts while creating and improving curriculum content across Data Engineering, Cloud, AI and Analytics. Mentor learners through workshops, projects and technical sessions, supporting capability building and continuous improvement. Combines hands-on data expertise with coaching in a structured training and consulting model.

AWS · Azure · GCP +1