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Senior AI Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Healf
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Senior Staff AI Engineer
Location: Greater London

Do Your Life’s Best Work

Build the Future of Wellbeing

If modern wellbeing were redesigned from scratch, it wouldn’t live in a GP’s office or a cluttered supplement aisle. It would be digital-first, beautifully curated, and powered by data that actually helps you feel your best.

That’s what we’re building  ecommerce platform at the intersection of personalised health and curated wellbeing. We connect customers with the world’s most effective products across EAT, MOVE, MIND, and SLEEP, and we’re just getting started. We combine culture-shaping storytelling, cutting-edge health tech (like our new blood testing platform, Healf Zone), and a best-in-class product experience to help people build rituals that work.

Backed by investors behind Soho House, Alo Yoga, Cult Beauty, and Innocent, we’re scaling fast, and redefining how the world shops and lives well.

About Us

At Healf, we’re not just a company, we’re a movement. Founded by two brothers whose own wellbeing journeys inspired our mission to empower others, Healf is built on grit, determination, and a shared understanding of the power of wellbeing.

Our culture is grounded in The Healf Standard—five principles that define how we work and win:

  • We Work Harder Than Anyone Else:
    Building something that improves lives takes long hours, grit, and sacrifice, but we thrive on it. We all feel energised by what we’re building.
  • Never Settle:
    We challenge the status quo and push ourselves to be better every day. We never settle for mediocrity or the idea that something can’t be done.
  • Obsession Over Talent:
    Talent alone isn’t enough—relentless curiosity and a drive to grow set us apart.
  • The Healf Lifestyle:
    We live what we preach—our personal commitment to wellbeing fuels our professional productivity.
  • Stronger Together:
    Everyone owns their lane, but we run as a unit.

With Healf Zone on the horizon, we’re entering the next phase of our journey: closing the loop on health with personalised, preventative care that unlocks longevity and optimised wellbeing. This is your chance to help build something that’s not only extraordinary, but a first of its kind.

The Role

The Lead AI Engineer will be a foundational technical leader in designing, building, and deploying AI systems to drive the growth and feature set of Healf Zone, our personalised wellbeing solution. This role demands deep machine learning expertise, a product-focused mindset, and the ability to translate complex health data into actionable, personalised features for our users, specifically accelerating engagement and conversion to the Healf Zone membership offering.

The Lead AI Engineer will work closely with the CTO, Engineering, and Product teams to ensure all AI systems are directly supporting key business metrics for Healf Zone.

Where You’ll Make An Impact AI & Machine Learning Development
  • Lead the technical delivery of AI features for Healf Zone, ensuring accuracy, interpretability, and seamless integration with the user experience.
  • Own the end-to-end MLOps pipeline, including model training, versioning, serving, monitoring, and continuous improvement in a production environment.
  • Research and implement state-of-the-art ML models (e.g., deep learning, large language models, reinforcement learning) to drive innovation in personalisation.
Data Engineering & Infrastructure
  • Collaborate with Data Engineers to structure and maintain the most valuable consumer health dataset in Europe, ensuring data quality, security, and ethical use.
  • Architect scalable data pipelines necessary for model training, feature engineering, and inference at global scale.
  • Ensure the AI infrastructure is robust, cost-efficient, and supports rapid experimentation and deployment cycles.
Leadership & Collaboration
  • Act as the technical expert and mentor for junior AI/ML engineers as the team scales.
  • Work cross-functionally with Product Managers to translate user needs and business objectives into technical AI requirements and roadmaps.
  • Define and champion best practices for AI/ML development, testing, and deployment within the Engineering team.
What You’ll Bring
  • Advanced AI/ML Expertise: 5+ years experience designing, building, and deploying machine…
Position Requirements
10+ Years work experience
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