Machine Learning Engineer (Remote)

Machine Learning Engineer | Production AI & LLM Systems

If you’re an ML Engineer who enjoysbuilding, deploying and scaling AI systems in production, rather than just experimenting with models, this could be a great fit.

You’ll work acrossML Engineering, Software Engineering and Cloud Infrastructure, with real ownership over how AI services are built, deployed and operated.

Why it’s interesting:

• Build and scaleproduction AI/LLM systems, including RAG and agentic workflows
• Own the full engineering lifecycle, from Python development through to AWS deployment
• Work withPython, FastAPI, AWS, Docker, CI/CD and infrastructure-as-code
• Solve real engineering challenges aroundreliability, observability, performance and cost
• Influence technical decisions, improve engineering practices and grow towardsSenior/Lead ownership
• Remote flexibility with optional office access

What we’re looking for:

• StrongPython engineeringskills and experience building production services
• Hands-onAWS, CI/CD, containers and cloud infrastructureexperience
• Experience deploying, monitoring and maintainingproduction ML/AI systems
• Exposure toLLMs, RAG or GenAI applications
• An engineer who enjoys debugging complex systems and taking end-to-end ownership

Ideally4+ years’ experience, but technical depth and production engineering experience matter more than tenure.

This could suit someone coming fromML Engineering, MLOps, Platform Engineering or backend Software Engineeringwho wants to work closer to production AI.

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