Lead ML Engineer β€” Drive Responsible AI for Energy

Lead ML Engineer β€” Drive Responsible AI for Energy

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
Faculty

At a Glance

  • Tasks: Lead AI projects and guide teams in developing responsible machine learning solutions.
  • Company: Renowned faculty in London focused on innovative AI research.
  • Benefits: Attractive salary, professional development, and a collaborative work environment.
  • Other info: Opportunity to work on high-impact projects in a dynamic academic setting.
  • Why this job: Shape the future of AI in energy while mentoring the next generation of engineers.
  • Qualifications: Strong background in machine learning and leadership experience.

The predicted salary is between 72000 - 88000 Β£ per year.

Faculty in London is seeking a Lead Software Engineer focused on Machine Learning to steer technical direction and delivery of complex AI projects.

You’ll act as a technical expert, applying skills across client deployments and AI strategy while ensuring robust architectures.

The role balances deep technical leadership with people management, coaching engineers, shaping reusable solutions, and owning high-risk initiatives.

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Lead ML Engineer β€” Drive Responsible AI for Energy employer: Faculty

At Faculty, we pride ourselves on being an exceptional employer, particularly for the Head of Banking role, where you will lead transformative AI initiatives in a dynamic banking landscape. Our culture fosters innovation and collaboration, offering unlimited annual leave, private healthcare, and family-friendly flexibility to ensure a healthy work-life balance. With a strong commitment to employee growth through mentorship and coaching, we empower our team to thrive in a supportive environment that values diverse perspectives and encourages meaningful contributions.

Faculty

Contact Details:

Faculty Recruitment Team

We think you need these skills to ace Lead ML Engineer β€” Drive Responsible AI for Energy

Python
Problem-Solving Skills
SQL
Data Engineering
Communication Skills
Data Pipeline Development
API Integration