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About the Role
Join Faculty as a Lead Machine Learning Engineer to spearhead technical direction and delivery of complex AI and software projects. You will act as a technical expert, applying your skills across various projects from solution architecture to client-side deployments, 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.
Responsibilities
- 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
Requirements
- Possess strong software engineering skills in Python and at least one compiled or strongly-typed language (e.g. Go, Java, Rust, or TypeScript)
- Know how to build robust, production-grade systems
- Expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS)
- Have led teams to build full-stack web applications
- Hands-on experience with containerisation tools like Docker and orchestration via Kubernetes
- Can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery
- Find novel, clever solutions for project delivery and take ownership for successful project outcomes
- Excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders
Skills
- AI
- Machine Learning
- Software Engineering
- Python
- Go
- Java
- Rust
- TypeScript
- Cloud Solutions (Azure, GCP, AWS)
- Full-stack web applications
- Docker
- Kubernetes
Location
- Hybrid Working
Work Type
- Hybrid Working
- Part-time hours
Experience Level
- Lead
- Senior
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI which moves the needle.
- Faculty brings unparalleled depth of technical, product, and delivery expertise to clients across government, finance, retail, energy, life sciences, and defence.
- Faculty's Life Science’s team is focused on building AI solutions to optimize the research and commercialization of life-changing therapies.
- Faculty partners with major pharma firms, academic research centers, and MedTech start-ups to design and deliver solutions addressing critical healthcare challenges.
Equal Opportunity
- We aim to grow the best team - not the most similar one.
- Diversity of individuals fosters diversity of thought, which strengthens our principle of seeking truth.
- Diverse teams deliver better work, relevant to the world in which we live.
- We are united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact.
- We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.