Machine Learning Jobs

• London
• On-site
• £260,000 – £630,000 pa
• Mid-level

Own critical parts of a production pretraining pipeline, covering performance optimization, observability, reliability and hardware debugging across the full stack. The role splits roughly 50/50 between research and engineering, with on-call incident response during model launches and close collaboration with teams in SF and London.

JAX · TPU · PyTorch +3

• London
• Hybrid
• £375,000 – £640,000 pa

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon grow, and builds benchmarks that make long-horizon progress measurable. Sits at the boundary between research and engineering, debugging failures that only appear at frontier scale and shipping validated findings into production training recipes alongside adjacent RL teams.

• London
• Hybrid
• Lead · manages people
• Permanent

Sets technical direction for complex ML and software projects, architecting scalable systems and overseeing delivery across multiple workstreams in high-risk life sciences environments. Also drives shared libraries, leads hiring and mentoring, and acts as a technical coach to pharma and MedTech clients.

Azure · GCP · AWS +2

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and software systems for clients across pharma, academia and MedTech. The role blends hands-on Python and cloud engineering with architecture decisions, client-facing technical advisory and mentoring junior engineers. Work spans scalable infrastructure, container orchestration and embedding best practices for deploying machine learning at scale.

AWS · Azure · GCP +2

• London
• Hybrid · 3 days in office
• Lead

Technically lead the Platform group, designing, operating and refining research, development and production cloud infrastructure across GCP, Kubernetes, Docker and Terraform. The role spans core technical decisions, tooling and CI/CD processes, working closely with scientists, ML researchers and product teams, and reports directly to the Director of Engineering.

GCP · Kubernetes · Docker +7

• London
• Hybrid · 3 days in office
• Senior

Translate the company's security strategy into engineering reality, steering a multi-quarter InfoSec roadmap across Cloud Security, Platform IAM and Secure SDLC. Partner directly with engineering and ML teams to secure drug discovery pipelines and Agentic AI workflows, and build data-driven dashboards giving the CISO visibility into program health and risk reduction.

GCP · ISO 27001 · ISO 42001 +6

• United Kingdom
• Remote
• Permanent

First dedicated analytics partner to the Finance function within a central Data team, owning revenue and ARR reconciliation, cohort and retention economics, and pricing experiments. Builds forecasting and scenario models used directly by FP&A for planning and board reporting, working with SQL, Python, Stripe, Salesforce and a dbt-modelled warehouse.

Stripe · Salesforce · dbt +1

• London
• Hybrid
• Senior
• Permanent

Customer-facing cloud technologist role in AWS's UK Solutions Architecture team, focused on the Travel and Hospitality industry. You lead architecture reviews, whiteboarding sessions, demos and workshops, manage the overall technical relationship with customers, and create reference architectures and technical content across AI/ML, serverless, containers, analytics and security.

AWS

• New York, United States
• Hybrid
• US$90,000 – US$130,000 pa
• Mid-level

Customer-facing role owning the full account journey for industrial clients, from onboarding and change management to executive reviews and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate engineering challenges into AI solutions, while building internal tooling to scale account operations.

• London
• Mid-level

You will own and grow one of Databricks' most strategic Manufacturing accounts, co-developing a business plan with ecosystem partners to exceed quarterly and annual usage and booking goals. The role involves leading complex sales campaigns, proving out big data and AI use cases on the Data Intelligence Platform, and co-selling with AWS, Azure, Google Cloud and Global Solution Integrators while engaging C-level executives.

Databricks · AWS · Azure +7

• London
• Director · manages people

Lead a team of Enterprise Named and Strategic Account Executives covering Telco and Utilities in UKI, owning team quota and growing platform consumption. You set territory plans, quotas and patches, drive forecast accuracy and partner with cross-functional teams on a full revenue and customer success process. Emphasis on methodology-based coaching (MEDDPICC, Challenger) and value-based selling to C-suite stakeholders.

Databricks · Genie · Lakebase +4

• London
• Senior
• Permanent

You will act as a trusted technical advisor to AWS customers in the Betting & Gaming industry, leading architecture reviews, white-boarding sessions, demos and workshops while managing the overall technical relationship. The role blends business acumen with hands-on guidance across AI, serverless, containers, analytics and DevOps, and involves feeding customer needs back into AWS product roadmaps.

AWS

• London
• Hybrid
• £110,000 – £120,000 pa
• Director

Own the fraud strategy for a technology-led financial services business, blending strategic leadership with hands-on data science. Build and deploy AI-driven fraud identification, including classifiers, anomaly detection, document intelligence and network analysis, and run fraud models in production with CI/CD, monitoring and governance. Partner with Product, Engineering, Credit and Operations to embed controls.

Python · SQL · Git +1

• London
• Hybrid
• £120,000 – £150,000 pa
• Director · manages people

Lead and build a data science function at a fintech, owning strategy across risk, affordability and lending decisioning. Hands-on work designing and deploying machine learning models using credit risk, Open Banking and customer data, with a focus on model governance, MLOps and AI-powered decisioning alongside Product, Engineering and Credit Risk teams.

Python · SQL · MLOps +1

• 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