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Lead Machine Learning Engineer

Revoco
London
8 months ago
Applications closed

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Contract Lead Machine Learning Engineer

Tech Lead Machine Learning Engineer

Position:Lead Machine Learning Engineer


About Our Client:Our client is an innovative startup, Supported by leading institutions, they develop machine learning-driven software solutions that streamline complex industrial processes.


Role Overview:We are seeking an experienced Machine Learning Engineer with a strong background in Reinforcement Learning to lead a team of data scientists and developers. This pivotal role involves providing technical direction to ensure that technological initiatives align with business objectives. The position offers a blend of hands-on technical work and leadership responsibilities, with ample opportunities for professional growth.


Key Responsibilities:

  • Design and implement reinforcement learning models to enhance production efficiency.
  • Lead and mentor a team of data scientists and developers, promoting a culture of excellence.
  • Integrate advanced algorithms into existing software infrastructure.
  • Communicate technical strategies to investors, clients, and other stakeholders.

Qualifications:

  • Proven expertise in Machine Learning, Reinforcement Learning, and advanced AI models.
  • Proficiency in Python and experience with deep learning frameworks such as PyTorch or Jax.
  • Experience developing models with complex time-series data.
  • Ability to produce production-quality code and utilise modern development tools and methodologies (e.g., version control, CI/CD, containers) within cloud platforms like GCP, AWS, or Azure.
  • Demonstrated leadership skills with a track record of managing technical teams.

Preferred Experience:

  • Knowledge of process control or industrial operations.
  • Background as a founder or early-stage engineer in a startup environment.


Culture and Benefits:

  • Collaborate with a passionate founding team.
  • Work in a transparent and collaborative environment that values professional development.
  • Flexible working arrangements.
  • Office located near major city landmarks.

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