Machine Learning Engineer (hybrid or remote) in London

Machine Learning Engineer (hybrid or remote) in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
RED Global

At a Glance

  • Tasks: Lead MLOps projects and take ML models from research to production.
  • Company: Dynamic tech company based in London, embracing innovation.
  • Benefits: Flexible hybrid or remote work, competitive pay, and growth opportunities.
  • Other info: 6-month contract with potential for extension and leadership opportunities.
  • Why this job: Join a cutting-edge team and shape the future of machine learning.
  • Qualifications: 5+ years in MLOps, strong Python skills, and GCP experience.

The predicted salary is between 60000 - 80000 Β£ per year.

Role Highlights:

  • Position: Machine Learning Engineer (MLOps Lead)
  • Location: London, UK
  • Contract: 6 months (extendable)
  • Tech Focus: GCP (Vertex AI – essential), Python, APIs, CI/CD, Docker

Key Skills Required:

  • Strong MLOps / ML Engineering experience (5+ years)
  • Hands-on experience with GCP (Vertex AI)
  • Excellent Python development skills
  • Experience with CI/CD, Docker, Terraform
  • Ability to take ML models from research to production
  • Leadership or mentoring experience

Machine Learning Engineer (hybrid or remote) in London employer: RED Global

Join a forward-thinking company in London that values innovation and collaboration, making it an excellent employer for Machine Learning Engineers. With a strong focus on employee growth, you will have access to cutting-edge technology and the opportunity to lead projects that drive real impact. Our supportive work culture encourages continuous learning and offers flexible working arrangements, ensuring a rewarding and meaningful career path.

RED Global

Contact Details:

RED Global Recruitment Team

We think you need these skills to ace Machine Learning Engineer (hybrid or remote) in London

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