Manager of Machine Learning

  • London, UK
  • £130K
  • MANAGEMENT

Job description

Machine Learning Engineering Manager | London (Hybrid) | Up to £130,000 + Benefits

 

MRJ Recruitment has partnered with a premier London-based consultancy to help them find a Machine Learning Engineering Manager to shape and scale their AI capabilities.

 

In this role, you will bridge high-level client strategy with hands-on technical delivery, leading cross-functional teams of Data Scientists, ML Engineers, and Consultants to build cutting-edge AI solutions for enterprise clients.

 

What You’ll Do

  • Technical & Team Leadership: Mentor and scale a high-performing team of ML Engineers and Data Scientists, setting technical standards and fostering continuous learning.
  • Client Engagement: Act as a trusted advisor to enterprise clients, leading discovery workshops, scoping engagements, and translating complex business problems into actionable ML roadmaps.
  • Delivery & Execution: Oversee the end-to-end ML lifecycle—from exploratory data analysis and model development to production deployment and MLOps.
  • Growth & Strategy: Partner with business development teams to pitch technical solutions, contribute to proposals, and shape the firm's AI offerings.

 

What We’re Looking For

  • Track Record: Proven experience managing or leading technical teams delivering production-grade ML/AI solutions.
  • Consulting/Agency Background: Experience in management consultancy, technical professional services, or agency environments is strongly preferred.
  • Technical Depth: Hands-on experience with Python, modern ML frameworks (PyTorch, TensorFlow, Scikit-learn), MLOps best practices, and major cloud platforms (AWS, GCP, or Azure).
  • Communication: Exceptional skill in translating complex AI capabilities for non-technical C-suite stakeholders and client decision-makers.

 

Day-to-day

Develop and maintain software applications to meet client requirements.
Collaborate with cross-functional teams to design scalable solutions.
Troubleshoot and resolve technical issues promptly.
Participate in code reviews to ensure code quality and standards.
Document software functionality and update technical manuals.
Monitor system performance and implement improvements.
Stay updated with emerging technologies and integrate them as needed.
Provide technical support and training to end-users.

Rekiel Moss
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