Senior Machine Learning Engineer

Haggerston
1 year ago
Applications closed

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Senior Machine Learning Engineer

Senior Machine Learning Engineer

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Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - London - Up to £120,000

With a focus on hands-on model building and implementation, the candidate will work closely with a Data Scientist and be part of an R&D team of seven, including the Head of Engineering, Product, and five engineers. This is a standalone role, and the engineer will be expected to be largely self-sufficient.

Responsibilities and Key Deliverables

  • Develop and maintain a ranking recommendation model that suggests recipes to users based on prior preferences, effectively serving as a product’s main feature.
  • Greenfield, meaning the engineer will build the machine learning models from scratch.
  • Full responsibility for ML model development, deployment, maintenance, and product integration.
  • The candidate must advise on frameworks, architect solutions, and ensure models are product-oriented and sustainable for the long term.

    Desired Candidate Profile
  • Minimum 4-5 years of hands-on experience with machine learning in a commercial environment, with strong decision-making capabilities regarding model architecture and deployment.
  • Preference for candidates with experience in B2C, subscription-based, or content-heavy start-ups, though experience with similar consumer products will also be considered.
  • Highly autonomous, with the ability to manage both product scoping and technical execution. The candidate should understand the demands of an early-stage product and be comfortable with an evolving role in a lean, start-up-style environment.

    Qualifications
  • The focus is on hands-on experience over academic background candidates should be skilled in implementing practical ML solutions.
  • A strong preference for candidates who are product-driven, with the ability to make decisions that align with long-term product goals.

    Interview Process
  1. Screening Call (30 mins) - Focus on culture fit and general understanding.
  2. Data Engineering Interview (45-60 mins) - Includes a take-home data task that candidates will analyse and present to the hiring manager and Data Scientist.
  3. Architecture Interview (45-60 mins) - Candidates will outline their approach to model architecture and decision-making.
  4. Offer Stage

    The salary on offer is between £90,000 to £120,000.

    If you are interested in the above, please apply or submit your CV to (url removed)

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