Lead Machine Learning Engineer

1 day ago

London Area, United Kingdom La Fosse Full time £90,000 - £120,000 per year

Lead Machine Learning Engineer (Pet care)

  • Location:
    London – 2 days a week in the office
  • Salary:
    Up to £90/95k + £7.5k Car allowance + 20% bonus
  • Pet care

Are you passionate about using data and technology to make a real-world difference?

Join a global leader in
pet health and nutrition
that's harnessing the power of AI and machine learning to create a better world for pets — and the people who care for them. This company organisation is transforming how we understand and deliver pet wellbeing through data-driven insights.

They bring together expertise in veterinary science, nutrition, and digital innovation to improve the lives of millions of pets around the world. This is your opportunity to be part of a forward-thinking team where cutting-edge technology meets genuine purpose.

The Role:

I'm seeking a
Lead Machine Learning Engineer
to drive the design, deployment, and scaling of ML solutions across our global data ecosystem.

You'll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you'll play a pivotal role in defining how advanced analytics supports smarter decision-making, better customer experiences, and more sustainable operations across the business.

What You'll Do:

  • Lead the technical direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing.
  • Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value.
  • Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance.
  • Provide technical guidance and mentorship, helping grow a capable ML Engineering team over time.
  • Partner with product, platform, and analytics teams to embed ML into data products and digital services.
  • Stay current with advancements in Generative AI and LLMs, exploring opportunities to apply them within the pet care and nutrition space.

What We're Looking For

  • Strong communicator who can translate technical complexity into business value.
  • Proven experience in classical machine learning, with hands-on expertise in model development, optimisation, and deployment.
  • Deep understanding of ML Engineering and MLOps principles (cloud-based pipelines, CI/CD, monitoring, reproducibility).
  • Experience with Python, SQL & Azure (AWS & GCP is also fine).
  • Exposure to GenAI or LLM tools and frameworks is a strong advantage.
  • Strategic thinker with the confidence to lead technically and shape the roadmap for ML within a growing, collaborative team.
  • Desire to apply technology in ways that make a tangible difference in the world of pet wellbeing and sustainability.

Why Join?

This is more than just a technical leadership role — it's a chance to combine your passion for data with a mission that matters. You'll be joining a diverse, global team that's reimagining the future of pet care through data, science, and innovation.

If you're interested in this role, please apply through the AD to find out more

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