Machine Learning Engineer (AI)

Location: Hybrid in London, England

Company

hirify.global develops autonomous AI control and optimisation systems that help heavy industrial plants such as cement, steel, and glass facilities operate more efficiently, reliably, and with lower carbon emissions.

What you will do

• Build machine learning models, optimisers, and controllers for autonomous industrial control systems.
• Develop systems combining edge control with active learning to improve plant performance and reduce CO2 emissions.
• Test and deploy models across the full machine learning lifecycle.
• Design robust, maintainable, and scalable machine learning systems and supporting tooling.
• Collaborate with cross-functional teams on customer projects, planning and delivering technical work packages.
• Improve engineering practices through continuous builds, testing, constructive reviews, and process development.

Requirements

• At least 2 years of experience as a machine learning engineer.
• Strong theoretical and practical knowledge of machine learning techniques.
• Proficiency in Python and familiarity with machine learning libraries and tools such as scikit-learn and PyTorch.
• Experience with end-to-end machine learning deployments and modern cloud infrastructure, including AWS, GCP, Azure, or similar platforms.
• Experience working in a scientific environment involving physics, chemistry, materials science, engineering, mathematics, or computer science.
• Experience designing and building end-to-end systems using sound software architecture practices.

Nice to have

• Experience with control systems, time-series modelling, reinforcement learning, system identification, optimisation, or Bayesian statistics.
• A track record of developing novel machine learning methods in relevant fields.
• Experience working in a fast-paced startup environment with an agile process.

Culture & Benefits

• Flexible working arrangements coordinated with the team.
• Share options and equity participation.
• 30 days of holiday plus bank holidays.
• Generous pension scheme.
• A culture focused on high standards, ownership, honesty, kindness, and continuous engineering improvement.