Lead Machine Learning Engineer

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

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

Architecting, 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, tools 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 software engineering skills in Python and at least one compiled or strongly-typed language (e.g. Go, Java, Rust, or TypeScript), and know how to build robust, production-grade systems.

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.

Talent Team Screen (30 minutes)

Introduction to the role (45 minutes)

Pair Programming Interview (90 minutes)

System Design Interview (90 minutes)

Commercial & Leadership Interview (60 minutes)