Machine Learning Engineer

HarnhamLondon, GB
Published on

About the Role

Join Harnham, a globally established entertainment company, as a Machine Learning Engineer. In this hybrid role, you will spend 1-2 days per week in the London office and have the opportunity to work with a tech-first team focused on modernising entertainment through innovative deep learning projects. You will collaborate with a high-impact global team, gaining exposure to cutting-edge technologies in AI, 3D, and computer vision.

Roles and Responsibilities

  • Collaborate closely with a high-impact international team of 4.
  • Gain hands-on experience working on deep learning projects and innovative AI technologies.
  • Contribute to the modernisation of machine learning applications, balancing technical progress with creative control.

About the Candidate

To be successful in this role, you should meet the following requirements:

  • 2+ years of hands-on experience in deep learning, especially in computer vision or 3D-related areas.
  • Strong skills in Python and debugging.
  • Experience in designing and training machine learning models with PyTorch or TensorFlow.
  • Good understanding of C++.
  • Interest or experience in the video, games, or film industry is essential.

Bonus points if you have:

  • GitHub, research papers, or personal projects showcasing your work.
  • Educational background in engineering or development, particularly within gaming, film, or animation, with a total of 4+ years of experience in related roles.

Salary and Benefits

The salary for this position ranges from £90,000 to £100,000, and may extend to £110,000 for the right candidate. In addition to competitive remuneration, you'll be part of a forward-thinking company that values innovation and creativity within the entertainment sector.

Company Culture

Harnham prides itself on providing a collaborative environment where creativity and technical skills converge. Join us and be a part of a company looking to push the boundaries of machine learning in a creative context.