Machine Learning Engineer

Machine Learning Engineer

Posted Today by SR2 | Socially Responsible Recruitment | Certified B Corporation™

£75 Per hour
Outside
Remote
United Kingdom

Summary: The role of Machine Learning Engineer involves building, training, and deploying production-grade machine learning models within a product-led AI team. The position emphasizes practical application over theoretical research, focusing on creating scalable systems that deliver real-world solutions. Candidates will utilize their Python expertise and experience with ML algorithms to integrate models into applications and APIs. This is a contract position offering autonomy and ownership of projects in a fully remote setting.

Key Responsibilities:

  • Building and deploying ML / AI models in Python
  • Turning notebooks into production-ready services
  • Creating data pipelines for training and inference
  • Integrating models into scalable apps and APIs
  • Monitoring performance and improving models over time

Key Skills:

  • Strong commercial Python experience
  • Experience deploying ML models into production
  • Solid grounding in ML algorithms and statistics
  • TensorFlow, PyTorch or scikit-learn experience
  • AWS, Azure or GCP exposure
  • A practical mindset and focus on delivery

Salary (Rate): £75.00/hr

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

ML / AI Engineer - Python (Contract, Remote) We’re working with a high-growth AI company building production-grade machine learning products that solve real world problems.

The role You’ll sit within a product-led AI team, building, training and deploying models that customers actually use. This isn’t research for the sake of it. You’ll move models from experimentation to robust, scalable systems.

What you’ll be doing

  • Building and deploying ML / AI models in Python
  • Turning notebooks into production-ready services
  • Creating data pipelines for training and inference
  • Integrating models into scalable apps and APIs
  • Monitoring performance and improving models over time

What you’ll bring

  • Strong commercial Python experience
  • Experience deploying ML models into production
  • Solid grounding in ML algorithms and statistics
  • TensorFlow, PyTorch or scikit-learn experience
  • AWS, Azure or GCP exposure
  • A practical mindset and focus on delivery

The details Contract Outside IR35 £550–600 per day Fully remote Want autonomy, real ownership and the chance to see your work running in production? Apply now or reach out for a confidential chat.