Machine Learning Engineer

Harrington Starr
City of London
4 months ago
Applications closed

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A leading buy-side firm, is looking for a Machine Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isn’t a research support role — it’s about building the ML infrastructure that directly drives trading strategies and PnL.

The Opportunity


Key Responsibilities

  • Design and implement distributed training pipelines handling high-volume data and complex model architectures
  • Develop low-latency inference systems providing real-time, high-accuracy predictions in production
  • Optimise and extend machine learning frameworks to improve training and inference performance
  • Leverage GPU programming (CUDA, cuDNN, TensorRT) to maximise efficiency
  • Automate model experimentation, tuning and retraining in partnership with research teams
  • Work with infrastructure specialists to optimise workflows and reduce compute costs
  • Assess and integrate emerging open-source tools to enhance ML development and deployment


Skills and Experience

  • 5+ years’ experience in machine learning with a focus on training and inference systems
  • Strong programming expertise in Python and C++ or CUDA
  • Proficiency with PyTorch, TensorFlow or JAX
  • Hands-on experience with GPU acceleration and distributed training (Horovod, NCCL or similar)
  • Background in real-time, low-latency ML pipelines
  • Familiarity with cloud and orchestration technologies
  • Contributions to open-source ML or distributed systems projects are advantageous


Why This Firm?

  • Direct impact: your work feeds into live trading strategies, not just experiments.
  • Buy-side edge: fewer layers, faster decisions, more ownership.
  • Top-of-market comp: £140,000 - £190,000 + performance bonus.
  • Culture of excellence: small, high-performing teams where engineers, quants, and PMs work side by side.


If you’re a machine learning engineer who wants to operate at the sharp end of finance, building systems that actually move markets, this is the role.

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