Atarus
Senior Machine Learning Engineer
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🚀 Senior / Staff ML Platform Engineer
📍 London (Hybrid)
💰 Up to £150k
🏢 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
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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
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Tech ⚙️
- Python, PyTorch
- Distributed systems
- Data and ML platforms
- Ray
- Cloud & GPU infrastructure
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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