Machine Learning Jobs

• London
• Hybrid
• Director · manages people
• Permanent

Build and lead a Professional Services practice, shaping go-to-market strategy and leading complex AI transformation programmes for major firms. Act as a strategic advisor to C-suite leaders, driving commercial growth and guiding multidisciplinary teams of engineers and data scientists. Distinct focus on agentic AI in regulated, knowledge-work environments.

Metaview

• London
• Hybrid
• Director · manages people
• Permanent

Lead and grow a banking practice within an applied AI consultancy, shaping go-to-market strategy and building relationships with C-suite banking leaders. You will drive complex AI transformation programmes from strategy through software delivery, generate revenue through pitches and demos, and mentor multidisciplinary teams. The role blends commercial ownership with hands-on delivery across front office, operations, risk and control functions.

Metaview

• London
• Remote
• Senior
• Permanent

Owns key components of a large-scale web data pipeline for pre-training language models, covering extraction, parsing, deduplication and filtering of noisy internet corpora. Analyses data composition and quality across domains, languages and time periods, and studies its impact on downstream model performance alongside research and evaluation teams.

Apache Spark · Apache Beam · Pandas

• London
• Remote
• Mid-level
• Permanent

Owns the integration pipeline for an enterprise AI workspace platform, building and maintaining tools that connect external APIs and data sources to agentic systems. Writes evals and tests to catch regressions, tunes tool descriptions, and helps other engineers add integrations while raising team standards.

North

• New York, United States
• US$150,000 – US$250,000 pa

Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves rapid prototyping, RESTful APIs in Python (FastAPI), microservices, and cloud deployment with Kubernetes, Helm, Terraform and AWS/Azure, plus quarterly on-site travel.

FastAPI · Helm · Kubernetes +3

• Singapore
• Mid-level

Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industry challenges into product opportunities, tracking engagement and measuring value. Based in Singapore, bridging advanced AI capabilities and practical engineering applications.

• London
• Hybrid
• Mid-level
• Permanent

Builds full-stack geospatial services in Python and TypeScript, plus PySpark and Databricks pipelines that enrich fleet data with road-network and mapping information at global scale. Owns route-planning applications, map data preparation for training and simulation, and deployment on Azure and Kubernetes end to end.

Databricks · Mapbox · TomTom +10

• London
• Lead
• Permanent

Owns delivery of priority AI initiatives for OpenAI's largest customers, leading complex deployments from scoping and planning through launch and adoption. Builds integrated delivery plans, resolves blockers, drives launch readiness and tracks adoption and consumption against agreed outcomes, working closely with account teams, FDEs and partners.

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. Diagnose on-road issues, root-cause them, and drive fixes through data recipes, model architecture, evaluation and release readiness, working across teams on model and vehicle interface problems.

Nissan · Mercedes

• London
• On-site
• Lead
• Permanent

Manage and improve a large-scale AWS and Kubernetes infrastructure powering an ML-based ID verification platform. Automate deployments, harden security with the security team, and provide tooling and guidance to product and engineering teams to boost scalability and reliability. Works in an Agile DevOps team using Terraform, Helm, Docker, GitLab CI and Python.

AWS · Kubernetes · Terraform +7

• United Kingdom
• Remote
• Senior

Owns and grows Databricks' public sector business across the Republic of Ireland and Scotland, inheriting an established book of strategic government accounts. Runs a consumption-led sales motion, building go-to-market plans, expanding platform usage, and co-selling with AWS, Azure and Google Cloud. Requires security clearance eligibility and deep knowledge of Irish Government procurement.

Databricks Intelligence Platform · AWS · Microsoft Azure +7

• London
• Hybrid
• Senior

Delivers machine learning models and analytical insights for Tesco UK Suppliers, working with transactional, shopper and clickstream data. Partners with Client Leadership teams to scope client needs and build scalable, reusable solutions across personalisation, pricing and promotions. Requires Python, SQL and statistical modelling, with PySpark advantageous.

Python · SQL · PySpark +1

• 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
• Lead

Sits within the Insight Enablement function of the Tesco Insights team, shaping longer-term enablement strategy and transformation initiatives so client-facing teams can deliver value. Defines enablement propositions and frameworks across products and tools, connects stakeholder needs with business priorities, and champions adoption of AI and emerging technologies.