Lead Machine Learning Engineer

Requirements

• You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem

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• You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch

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• You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications

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• You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes

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• You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery

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• You find novel, clever solutions for project delivery and take ownership for successful project outcomes

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• You’re an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders

What the job involves

• Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable

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• This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you’re ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future

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• Setting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities

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• Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions

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• Defining project problems, developing roadmaps, and overseeing delivery across multiple work-streams in often ill-defined, high-risk environments

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• Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them

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• Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth

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• Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition

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• Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders

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