Lead Machine Learning Engineer

Stack

Responsibilities

• ▹Set the technical direction for complex ML projects, balancing trade-offs and guiding team priorities
• ▹Design, implement, and maintain reliable, scalable ML/software systems, justifying key architectural decisions
• ▹Define project problems, develop roadmaps, and oversee delivery across multiple workstreams in ill-defined, high-risk environments
• ▹Drive development of shared resources and libraries across the organisation, guiding other engineers to contribute
• ▹Lead hiring processes, make informed selection decisions, and mentor multiple individuals to foster team growth
• ▹Proactively develop and execute recommendations for adopting new technologies and ways of working
• ▹Act as a technical expert and coach for customers, accurately estimating and defending large work-streams

Requirements

• ▹A technical expert among peers, capable of going deep on particular topics with breadth of knowledge to solve almost any problem
• ▹Strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch
• ▹Expert in at least one major Cloud Solution Provider (Azure, GCP, AWS), with experience leading teams building full-stack web applications
• ▹Hands-on experience with containerisation tools like Docker and orchestration via Kubernetes
• ▹Able to successfully manage and coach a team of engineers, setting team-wide development goals
• ▹Eligibility for UK Security Clearance (SC), willingness to work 2-4 days per week on-site with defence customers

Soft skills

What we offer

• ▹Unlimited Annual Leave Policy
• ▹Private healthcare and dental
• ▹Enhanced parental leave
• ▹Family-Friendly Flexibility & Flexible working
• ▹Sanctus Coaching
• ▹Hybrid Working

About the company

Faculty, founded in 2014, is an AI company that has worked with over 350 global customers across government, finance, retail, energy, life sciences and defence, building and deploying responsible, human-centric AI. This role sits within the Defence team, which builds AI solutions for the defence sector; it requires eligibility for UK Security Clearance (SC) and 2-4 days per week on-site with defence clients, with the flexibility to work from Faculty's London office or remotely elsewhere in the UK the rest of the time.