Machine Learning Engineering Manager (4-days a week)

ML Engineering ManagerREMOTE | up to $235,000 + Benefits | 4 Days Per WeekIf 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.The CompanyThey 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.The RoleAs 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.Responsibilities include:Leading, mentoring, and developing a team of machine learning engineers.Supporting career development, performance growth, and team engagement.Creating an environment where experimentation, learning, and knowledge sharing are encouraged.Partnering with technical leaders to prioritise and resource high-impact initiatives.Managing a portfolio of machine learning experiments, balancing short-term delivery with longer-term innovation.Applying rigorous evaluation standards to ensure model performance translates successfully into production environments.Working closely with stakeholders to define priorities, measure success, and communicate outcomes.Collaborating with engineering and infrastructure teams to support scalable ML systems and tooling.Representing team achievements and technical direction to senior leadership and wider business stakeholders.Your Skills & ExperienceStrong commercial experience in machine learning, data science, or ML-focused software engineering.Proven people leadership experience, including coaching, mentoring, and developing technical teams.Deep expertise in either machine learning engineering or applied statistics, with strong working knowledge of both disciplines.Ability to lead teams through ambiguity and make informed decisions using data and evidence.Experience building, evaluating, and deploying machine learning models in production environments.Excellent communication skills with the ability to translate technical concepts into business impact.Comfortable working autonomously and influencing stakeholders across multiple teams.Strong focus on quality, reproducibility, and operational excellence.What They OfferCompetitive salary and comprehensive benefits package.Flexible 4-day-per-week working arrangement.Hybrid working model.Opportunity to lead high-impact machine learning initiatives at scale.Exposure to complex technical challenges and cutting-edge AI projects.Clear progression opportunities within a growing data and AI function.Collaborative culture that values innovation, experimentation, and continuous learning.How to ApplyApply 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.