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Senior Machine Learning Engineer REMOTE UK PoC into cloud

Oxford
9 months ago
Applications closed

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Senior Machine Learning Engineer – REMOTE UK or HYBRID
Python, deploying models; Guide models from proof of concept to production; overseeing the full lifecycle of machine learning models; taking models into production in cloud systems; MLOps
Are you ready to harness the power of AI and data science to impact industries as diverse as satellite communications, energy management, and healthcare?
My client is looking for a Senior Machine Learning Engineer to take on a key role in transforming concepts into cutting-edge solutions, directly shaping the future of advanced technologies. This is an opportunity to lead with your expertise and see your innovations thrive across multiple high-stakes projects. Experience of taking models from PoC into cloud systems is essential.
Why You Should Apply

  • Work at the intersection of AI, advanced mathematics, and real-world impact.
  • Lead multiple projects with direct customer interaction and influence.
  • Be a technical authority in a forward-thinking, collaborative environment.
  • Mentorship and leadership opportunities, including developing the next generation of ML engineers.
  • Flexible work arrangements with a mix of remote and office options.
  • Enhanced leave benefits, mental health support, and a generous pension.
    What You’ll Be Doing
  • Build, train, and monitor robust machine learning pipelines.
  • Lead model architecture and MLOps development across multiple platforms.
  • Collaborate with consultants, engineers, and customers on cutting-edge projects.
  • Drive model trustworthiness through confidence quantification and explainability.
  • Mentor and lead teams, fostering innovation and growth.
    About You
  • Be able to do the job as described.
  • Expertise in Python, MLOps, and cloud services.
  • Experience taking models from PoC into cloud systems
  • Comfortable managing multiple, complex projects simultaneously.
  • A technical leader who can guide both clients and team members.
  • Experience in confidence quantification and model explainability.
  • Ideally demonstrable experience in AWS or Azure
    Please apply via the link for immediate consideration

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