Lead ML Engineer β€” Production ML & MLOps (Hybrid London)

Lead ML Engineer β€” Production ML & MLOps (Hybrid London)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead end-to-end machine learning delivery and collaborate on innovative projects.
  • Company: Harnham, a forward-thinking company in the heart of London.
  • Benefits: Up to Β£110,000 salary, 20% bonus, and hybrid working model.
  • Other info: Exciting opportunity for career growth in a dynamic environment.
  • Why this job: Make a real impact in ML while working with a collaborative team.
  • Qualifications: Experience in machine learning and strong collaboration skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Harnham is seeking a Senior Machine Learning Engineer in London to take ownership of end-to-end machine learning delivery. The ideal candidate will play a key role in designing, building, and productionising machine learning solutions across various use cases while collaborating with data scientists and engineers.

This position offers a salary of up to Β£110,000 plus a 20% bonus, with hybrid working (two days per week in-office), and the chance to work on impactful ML projects with a collaborative team.

Lead ML Engineer β€” Production ML & MLOps (Hybrid London) employer: Harnham Search & Selection

Harnham is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in the field of machine learning. With competitive salaries, generous bonuses, and hybrid working arrangements, employees enjoy a healthy work-life balance while having access to continuous growth opportunities through engaging projects and teamwork in the vibrant city of London.

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Contact Details:

Harnham Search & Selection Recruitment Team

We think you need these skills to ace Lead ML Engineer β€” Production ML & MLOps (Hybrid London)

Machine Learning
End-to-End Machine Learning Delivery
Productionising Machine Learning Solutions
Collaboration with Data Scientists
Collaboration with Engineers
Designing Machine Learning Solutions
Building Machine Learning Solutions