Lead Software Engineer, Faculty

About the Role

As a Lead Software Engineer, you'll spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural 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 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

Who you are

• If you're ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future
• 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

Application Process

• 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)

Salary Benchmarks

Machine Learning Engineer

Expert: £60k

Senior: £80k - £160k

Company Benefits

• Dental cover - 100% of dental fees covered, up to £500, including checkups and hygienist.
• Optical Cover - 100% of the cost of prescribed glasses and contact lenses up to £300 a year.
• Hybrid working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside [Employer hidden]. We provide you with all you need to work from home, including a laptop, keyboard and chair.
• Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family
• Fantastic private health, for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions
• Access to mental health coaching with Sanctus
• Lunch weekly, and more fruit, drinks and snacks than you could ever eat (for office-based employees)
• We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime
• Paid Maternity, Paternity, Adoption or Shared Parental Leave - we offer a progressive, gender neutral and generous parental leave policy here at [Employer hidden]. All parents are given 15 weeks leave at full pay in addition to statutory time off after 12 months of service.