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Faculty · 2 months ago

Lead Machine Learning Engineer

London - Hybrid

Full-time

Hybrid

Lead/Staff

Faculty is a company that transforms organisational performance through AI, partnering with various clients to drive efficiencies in the clean energy sector. They are seeking a Lead Machine Learning Engineer to guide complex AI projects, ensuring sound architectural decisions while fostering team growth and innovation.

Artificial Intelligence (AI)B2BInformation TechnologyMachine LearningSaaSSoftware

Growth Opportunities

Responsibilities

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

Qualification

Machine LearningPythonCloud SolutionsContainerizationAI StrategyTeam LeadershipCommunicationProblem Solving

Required

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