Setting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.
Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.
Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments.
Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.
Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.
Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition.
Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.

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.
You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
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.
You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.
You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery.
You find novel, clever solutions for project delivery and take ownership for successful project outcomes.
You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.

Lead Machine Learning Engineer

Key skills