Machine Learning Engineer (various levels), AI – London

The Roles

Our client is looking to hire multiple profiles into their ML Technical staff. As a Member of Technical Staff, Machine Learning, you will build core ML components and work directly on production systems from day one – gaining first‑hand exposure to how large‑scale ML behaves outside a research setting. This role suits engineers who want to build strong systems judgement through shipping, debugging, and iterating on real‑world ML, alongside more senior colleagues.

Focus Areas

• Build and improve ML components spanning data, training, evaluation, and inference
• Fine‑tune and adapt models as part of larger production systems
• Implement evaluation and testing frameworks to understand model behaviour
• Contribute to data pipelines covering both real‑world and synthetic data
• Debug model issues, performance problems, and production incidents
• Ship improvements iteratively, guided by real user feedback
• Work closely with senior ML engineers and product teams
• Operate comfortably within the constraints of a live production system – latency, cost, reliability, and safety all matter simultaneously

What Good Looks Like in This Role

• Production ML models meet expected accuracy, latency, and reliability targets
• Production issues are identified quickly, debugged effectively, and resolved at the root cause
• Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable
• Works effectively across engineering, product, and research to deliver reliable ML‑powered features
• Improvements to models and systems are driven by real‑world signals and measurable outcomes

Technical Environment

• Python
• PyTorch / JAX
• Production ML systems running on GPU infrastructure

Candidate Profile

• Strong foundations in machine learning and modern neural network architectures
• Some hands‑on experience training, fine‑tuning, or deploying ML models
• Comfortable writing production‑quality code and picking up new tools quickly
• Curious, coachable, and keen to learn from real systems in production
• Able to work through ambiguity with guidance, growing ownership over time
• A natural bias toward shipping, iteration, and continuous improvement

To apply or discuss this role further please send your CV to Don Fletcher via don.fletcher@ap-executive.com.

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