Machine Learning Engineer

Job Title: Machine Learning Engineer

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

About Our Client:

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.

Position Summary:

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.

Key Responsibilities:

· 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.

Qualifications:

· 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 drew.guinnane@hunterphilps.com or apply directly to this advert.