Machine Learning Engineer

Whering

We work a 4 day work week - every Friday is off

Posted 3 weeks ago

Only considering candidates eligible to work in the UK ⚠️

We’re looking for a creative Machine Learning Engineer to sit at the heart of our smart features.

What you'll bring:

  • 3+ years of data science/machine learning experience
  • Strong proficiency in Python and standard ML frameworks.
  • Deep expertise in Computer Vision applied to real-world problems (e.g., visual search, object detection, automated tagging).
  • Proven experience building and refining Recommendation Systems to drive personalisation.
  • Experience deploying models into production environments and managing data pipelines.
  • A creative problem-solver who stays up-to-date with the latest ML research and loves prototyping innovative ideas.
  • A data-driven mindset with the ability to analyse user data to inform model development.

Preferred but not required experience in:

  • Experience with graph models and large language models is a plus
  • Experience with Google Cloud Platform is a plus, including Dataflow/Apache Beam

What you'll be doing:

  • You will be responsible for designing, building, and deploying the models that power our personalised user experience, from automated wardrobe digitisation to AI-powered styling.
  • You'll play a pivotal role in making our product smarter, helping millions of users make better decisions about what they wear.

Start Date: --ASAP

Location: UK

Report To: Head of Engineering

Salary: Competitive

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Wheringwhering.co.uk

Your wardrobe, digitised — Clueless style

Working Week

We work a 4 day work week - every Friday is off

  • Mon
  • Tue
  • Wed
  • Thu
  • 🏖️
    Fri

Our Vacation Policy

We offer an unlimited PTO policy. If you took 30 days offer per year, this would work out as:

  • 30 days
  • 52 Fridays
  • 82 days off per year

Remote Working Policy

We work hybrid remotely from our office in London. Some of our positions are 100% remote within the UK

Company Benefits

  • 401(k) company contribution
  • Annual offsites
  • Equipment allowance
  • Professional Development Budget
  • Mental Health Support

Desirable Skills and Experience

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