Machine Learning Engineer

Direct message the job poster from Hunter Philips Executive Search

Location: Birmingham, UK (Hybrid – 3 days in office)

I am working on behalf of a leading client in the energy and smart infrastructure sector, developing innovative AI‑driven solutions to optimise operations, efficiency, and sustainability.

My client is seeking a Machine Learning Engineer to join their technology team. The role involves developing, implementing, and optimising AI/ML models for real‑world energy and infrastructure applications. The ideal candidate will have hands‑on experience delivering production‑ready ML solutions and a strong understanding of system performance, predictive analytics, and data‑driven decision making.

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• Design, implement, and deploy scalable AI/ML models to support energy and infrastructure operations.
  
• Build and validate proof‑of‑concept solutions, ensuring models perform reliably in live environments.
  
• Develop predictive analytics, forecasting, and optimisation tools to improve operational efficiency.
  
• Collaborate with cross‑functional teams to identify challenges and deliver AI‑driven solutions.
  
• Manage and structure large datasets, ensuring quality and accessibility for ML applications.
  
• Apply MLOps principles to maintain and continuously enhance deployed ML models.
  

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• 5+ years of experience in ML/AI, preferably in energy, industrial automation, or smart infrastructure.
  
• Hands‑on experience with ML frameworks such as TensorFlow, PyTorch, or scikit‑learn, and programming in Python, R, MATLAB, or C++.
  
• Experience deploying ML models in production using MLOps principles.
  
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture.
  
• Strong analytical, problem‑solving, and communication skills, with experience working in collaborative teams.
  

If you’re interested in applying for this exciting position, email your CV to or apply directly to this advert.