Machine Learning Engineering Manager (Power)

Location: United Kingdom; hybrid workplace

Company

hirify.global provides global trade intelligence and insights for commodities, energy, and maritime sectors through user-focused data platforms.

What you will do

• Lead, coach, and support a squad of Machine Learning Engineers while fostering psychological safety, professional growth, and continuous delivery.
• Set the technical direction for ML infrastructure, automated training, model evaluation, and low-latency inference pipelines.
• Partner with Product Managers, Data Scientists, and Data Engineering leads to align roadmaps and deliver technical initiatives.
• Establish engineering practices for MLOps, observability, data quality monitoring, and automated testing.
• Provide architectural guidance and participate in technical design reviews focused on speed, scalability, and maintainability.
• Lead technical hiring, interview calibration, and onboarding for engineering talent.

Requirements

• Proven technical leadership or engineering people-management experience guiding small-to-medium squads through complex software delivery cycles.
• Strong software engineering background with hands-on experience deploying and operating machine learning pipelines in production, including technologies such as Python, Docker, and Kubernetes.
• Deep understanding of the MLOps lifecycle, workflow orchestration, model serving, and cloud infrastructure such as AWS or equivalent.
• Demonstrated ability to build cross-functional alignment across engineering, data science, and product management.

Nice to have

• Experience designing or scaling streaming ML systems for high-frequency time-series data or spatial-temporal models.
• Exposure to modern ML platforms, feature stores, and distributed compute frameworks.
• Familiarity with commodity, maritime, energy, or financial market domains.

Culture & Benefits

• Work in a collaborative environment focused on decisive action, practical support, and creative solutions to market challenges.
• Join an international organization with more than 850 experts from 69 countries.
• Work in an inclusive and diverse environment committed to equal opportunity and different perspectives.