Remote Head of ML Engineering

Remote Head of ML Engineering

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
tem

At a Glance

  • Tasks: Lead and manage the Machine Learning team while driving strategy and collaboration.
  • Company: Dynamic startup focused on innovative machine learning solutions.
  • Benefits: Flexible working, competitive salary, stock options, and growth opportunities.
  • Other info: Thriving startup culture with endless possibilities for career advancement.
  • Why this job: Shape the future of ML in a fast-paced, collaborative environment.
  • Qualifications: Strong management experience in ML and proven people development skills.

The predicted salary is between 80000 - 100000 Β£ per year.

tem is seeking a Machine Learning Engineering Leader to oversee its critical ML function. This role involves owning the team and strategy while ensuring performance and collaboration across engineering disciplines.

The ideal candidate will demonstrate strong management experience in ML, proven people development skills, and an ability to thrive in a startup environment.

Flexible working arrangements and competitive salary packages, including stock options, are offered.

Remote Head of ML Engineering employer: tem

At tem, we are not just transforming the energy market; we are creating a culture of innovation and collaboration that empowers our employees to make a real impact. As a Remote Senior Staff Machine Learning Engineer, you will enjoy the flexibility of remote work while being part of a mission-driven team dedicated to transparency and fairness in energy transactions. With ample opportunities for professional growth and a commitment to sustainability, tem offers a unique environment where your contributions directly influence the future of electricity markets worldwide.

tem

Contact Details:

tem Recruitment Team

We think you need these skills to ace Remote Head of ML Engineering

Machine Learning Engineering
Team Management
Strategic Planning
Performance Management
Collaboration Skills
People Development
Startup Environment Adaptability