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Staff Machine Learning Engineer

Exclusive opportunity

Onsite

Staff Machine Learning Engineer

Cognify Search

Staff Machine Learning Engineer

Skills

Google Cloud PlatformPythonKafkaDatabricksMachine LearningAWS

5 days ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

16 October 2026

What they need


Staff Machine Learning Engineer

Salary: £150k + bonus

Location: London (Hybrid)

I have been retained to work with a leading technology business that is building out a new, centralised Machine Learning function and looking for an experienced ML Technical Lead to help shape its future.

This is a fantastic opportunity for someone operating at Staff, Principal or Lead ML Engineer level who enjoys combining hands-on technical leadership with strategy, product thinking and real-world impact.

You'll play a key role in establishing ML as a product discipline, setting technical direction and helping teams deliver scalable ML solutions across multiple areas of the business.

What you'll be doing:

  • Owning the technical direction and roadmap for ML across multiple product teams.
  • Leading initiatives spanning forecasting, optimisation, predictive modelling and GenAI.
  • Architecting scalable, production-ready ML systems and reusable ML APIs.
  • Establishing MLOps best practices, including deployment, monitoring and model evaluation.
  • Working closely with Product and Engineering teams to identify, prioritise and deliver high-value ML opportunities.
  • Mentoring ML Engineers, raising engineering standards and helping shape a growing team.

What we're looking for:

  • Experience operating at Staff, Principal or Technical Lead level within Machine Learning.
  • A strong track record of delivering ML solutions into production.
  • Expertise in forecasting, optimisation, recommendation systems or predictive modelling.
  • Strong Python and system design skills, with an understanding of MLOps and scalable ML infrastructure.
  • Experience with technologies such as Databricks, Spark, Kafka, AWS or GCP would be beneficial.
  • A commercial mindset, with the ability to translate complex ML opportunities into tangible business outcomes.
  • Experience within Energy, Telecommunications, Utilities, Healthcare or subscription-based businesses would be particularly interesting.

If you're a Senior, Staff or Principal ML Engineer looking to take on greater technical ownership and influence, I'd be keen to speak.

📩 Drop me a message or reach out directly to find out more.

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