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Machine Learning Engineer - London (London)

Oliver Bernard
London
6 months ago
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Consultant at Oliver Bernard | Specialise in Data & Backend Engineering at Oliver Bernard

Machine Learning Engineer - London

Location:Central London, 5 days onsite

About Them

Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various industries. Their team, composed of experienced professionals from leading technology firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development.

Responsibilities

  • Fine-tune open-source PyTorch models using proprietary datasets.
  • Convert and optimise models for high-performance C++ runtimes.
  • Design and execute experiments balancing latency, accuracy, and robustness.
  • Integrate ML models into production pipelines and own downstream performance metrics.
  • Maintain and improve existing ML systems in our production environment.
  • Stay current with deep learning research and propose practical applications in the video AI domain.

About you

  • Solid software engineering skills with a focus on writing production-grade code.
  • Strong foundations in machine learning.
  • Experience with PyTorch and Python 3; familiarity with C++ preferred.
  • Experience with containerisation (Docker), model profiling.

Why Join Them

  • Work with top engineers and AI researchers from leading tech firms and academic institutions.
  • Backed by leading investors and operating in a high-growth market with tangible business impact.

£80-150k base salary + meaningful early-stage equity.

Fully paid private dental & vision insurance.

If this is of interest, please apply or email at

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesSoftware Development and Technology, Information and Media

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