Applied ML Engineer: Real-World Ops & Deployment in London

Applied ML Engineer: Real-World Ops & Deployment in London

London Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Platform Recruitment

At a Glance

  • Tasks: Design, build, and deploy advanced ML models for real-world operational challenges.
  • Company: Platform Recruitment, a forward-thinking tech company in London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic work environment with excellent career advancement potential.
  • Why this job: Join a high-calibre team and make a real impact with cutting-edge machine learning.
  • Qualifications: Experience in machine learning, data analysis, and teamwork.

The predicted salary is between 63000 - 77000 Β£ per year.

Platform Recruitment in London is seeking a Machine Learning Engineer to design, build, and deploy advanced ML models that solve complex operational challenges in real-world environments. You will work with time-series data, forecasting, optimisation, and probabilistic modelling to create scalable systems in collaboration with engineering and product teams.

This hands-on role partners with a high-calibre founding team to move models from early validation to production deployment.

Applied ML Engineer: Real-World Ops & Deployment in London employer: Platform Recruitment

As an Electronics Engineer at our Cambridge location, you will be part of a dynamic team that values innovation and collaboration, offering a stimulating work environment where your contributions directly impact high-performance electronic systems. We provide competitive salaries, comprehensive benefits, and ample opportunities for professional growth, ensuring that you can advance your career while enjoying a supportive and inclusive workplace culture.

Platform Recruitment

Contact Details:

Platform Recruitment Recruitment Team

We think you need these skills to ace Applied ML Engineer: Real-World Ops & Deployment in London

Python
SQL
Data Engineering
Communication Skills
Attention to Detail
Automation
Data Pipeline Development