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.