Lead Foundation Model ML Engineer (London/Remote) in Birmingham

Lead Foundation Model ML Engineer (London/Remote) in Birmingham

Birmingham Full-Time 60000 - 84000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development and optimisation of next-gen foundation models in a hands-on role.
  • Company: Exciting startup in London with a focus on innovative machine learning solutions.
  • Benefits: Equity options, competitive salary, and the chance to make a real impact.
  • Other info: Flexible remote work options and a direct path to career advancement.
  • Why this job: Join a dynamic team and tackle complex engineering challenges with cutting-edge technology.
  • Qualifications: Experience in machine learning, CUDA, and scalable ML systems required.

The predicted salary is between 60000 - 84000 Β£ per year.

Our Client in London is seeking a Senior Machine Learning Engineer to lead the development, optimization, and deployment of a next-generation foundation model. You will architect large-scale ML systems, optimize training and inference, and collaborate directly with founders to solve complex engineering challenges.

The role is hands-on, with responsibilities spanning CUDA kernels, GPU-accelerated infrastructure, and scalable ML tooling, offering equity and a direct path to impact in a startup.

Lead Foundation Model ML Engineer (London/Remote) in Birmingham employer: C&D Talent Advisory

C&D Talent Advisory is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. As a Customer-Facing AI Engineer, you will not only enjoy competitive compensation and equity but also have the unique opportunity to shape the company's presence in the UK while working in a high-autonomy environment that fosters professional growth and development.

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Contact Details:

C&D Talent Advisory Recruitment Team

We think you need these skills to ace Lead Foundation Model ML Engineer (London/Remote) in Birmingham

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Data Pipeline Development
API Integration