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Uneek Global in Trudering-Riem, Germany, seeks a Lead Machine Learning & Intelligent Automation Engineer to own the technical direction across ML and automation. This hands-on leadership role combines architectural ownership with mentoring and close collaboration with Product and Engineering teams to deliver high-impact capabilities.
You'll shape the approach to AI/automation, design scalable solutions from concept to production, and balance speed with quality.
We are working with a rapidly growing international software business that develops technology used by organisations operating complex, mission-critical infrastructure.
The business is undergoing significant investment in its data, machine learning and automation capabilities and is now looking for a Machine Learning Tech Lead to take ownership of the technical direction across these areas.
This is an opportunity for an experienced engineer to combine hands-on technical work with architectural ownership, mentoring and close collaboration with Product and Engineering teams.
As the Tech Lead, you'll sit at the intersection of machine learning, intelligent automation and software product development.
You'll be responsible for shaping the technical approach to ML and automation initiatives, designing solutions and ensuring they progress from initial concept through to reliable production deployment.
You'll work closely with Product and Engineering to turn ideas into practical, customer-facing capabilities, balancing technical quality with the need to deliver quickly and create measurable value.
The ideal person will be comfortable operating in an environment where priorities evolve, problems aren't always clearly defined and engineers are expected to take ownership rather than simply work from a predefined backlog.
We're looking for an experienced AI/ML engineer who has successfully taken solutions beyond experimentation and into production.
You'll ideally bring:
You'll have genuine ownership over the company's growing ML and intelligent automation capabilities, with the opportunity to influence architecture, engineering standards and how AI is brought into production.
It's a hands-on technical leadership position for someone who wants to build things, solve difficult problems and have a meaningful influence on the direction of an expanding AI/ML function.