Senior Machine Learning Engineer

Well-funded AI company (£100m+ raised)

We’re working with a fast-growing AI company building large-scale infrastructure that powers the training, deployment, and operation of cutting-edge machine learning systems.

They’re looking for engineers with strong software engineering fundamentals who have moved into ML infrastructure, platform, or systems engineering roles.

What you’ll be doing

• Building the platforms and services that support ML training and deployment
• Developing tooling for data processing, experimentation, and model lifecycle management
• Improving scalability, reliability, and performance across ML infrastructure
• Building internal platforms used by researchers and applied scientists
• Working closely with ML teams to productionise new capabilities
• Designing and maintaining distributed systems operating at scale

What they’re looking for

• Strong backend software engineering background
• Experience building production systems in Python and at least one systems language (C++, Java, Go etc.)
• Experience supporting ML workloads, training pipelines, or inference systems
• Strong understanding of distributed systems, scalability, and reliability
• Engineers who enjoy building the infrastructure around machine learning rather than developing models themselves
• Experience working closely with ML researchers or applied scientists
• Data and ML platforms

Why it’s interesting

• Work on the engineering backbone behind cutting-edge AI systems
• High ownership within a small, senior team
• Solve complex software and infrastructure challenges at scale
• Strong commercial traction and significant backing
• Opportunity to shape the platform powering future AI products

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