Machine Learning Engineering Manager (4-days a week)

Job Description

ML Engineering Manager

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REMOTE | up to $235,000 + Benefits | 4 Days Per Week

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If you're a hands-on/people Manager ML leader who enjoys solving complex problems, guiding high-performing teams, and shaping the future of machine learning products, this is a rare opportunity to make a significant impact in a flexible 4-day-per-week role . You'll combine technical leadership with people management, helping drive experimentation, innovation, and measurable business outcomes within a highly collaborative AI environment.

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The Company

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They are a technology-driven organisation that leverages advanced machine learning and data science to solve complex business challenges at scale. Their teams operate at the intersection of research, engineering, and commercial impact, with a strong culture of experimentation and continuous improvement. Decision-making is evidence-led, and employees are empowered to explore new ideas, challenge assumptions, and contribute to long-term innovation. The business offers an environment where technical experts can influence strategy while remaining close to the work.

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The Role

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As an ML Engineering Manager, you will lead a team focused on developing and improving production machine learning solutions while fostering a culture of learning, innovation, and technical excellence.

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Responsibilities include:

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• Leading, mentoring, and developing a team of machine learning engineers.
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• Supporting career development, performance growth, and team engagement.
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• Creating an environment where experimentation, learning, and knowledge sharing are encouraged.
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• Partnering with technical leaders to prioritise and resource high-impact initiatives.
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• Managing a portfolio of machine learning experiments, balancing short-term delivery with longer-term innovation.
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• Applying rigorous evaluation standards to ensure model performance translates successfully into production environments.
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• Working closely with stakeholders to define priorities, measure success, and communicate outcomes.
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• Collaborating with engineering and infrastructure teams to support scalable ML systems and tooling.
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• Representing team achievements and technical direction to senior leadership and wider business stakeholders.
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Your Skills & Experience

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• Strong commercial experience in machine learning, data science, or ML-focused software engineering.
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• Proven people leadership experience, including coaching, mentoring, and developing technical teams.
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• Deep expertise in either machine learning engineering or applied statistics, with strong working knowledge of both disciplines.
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• Ability to lead teams through ambiguity and make informed decisions using data and evidence.
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• Experience building, evaluating, and deploying machine learning models in production environments.
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• Excellent communication skills with the ability to translate technical concepts into business impact.
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• Comfortable working autonomously and influencing stakeholders across multiple teams.
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• Strong focus on quality, reproducibility, and operational excellence.
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What They Offer

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• Competitive salary and comprehensive benefits package.
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• Flexible 4-day-per-week working arrangement.
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• Hybrid working model.
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• Opportunity to lead high-impact machine learning initiatives at scale.
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• Exposure to complex technical challenges and cutting-edge AI projects.
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• Clear progression opportunities within a growing data and AI function.
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• Collaborative culture that values innovation, experimentation, and continuous learning.
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How to Apply

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Apply today to discuss this ML Engineering Manager opportunity and learn more about joining a forward-thinking data and AI team in a flexible 4-day-per-week position.

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