Faculty

Lead Machine Learning Engineer

Lead · Гибрид · Великобритания · Английский B2

Навыки

  • AWS
  • Azure
  • Docker
  • Google Cloud
  • Kubernetes
  • Лидерство
  • Machine Learning
Ещё 5
  • Ответственность за результат
  • Python
  • PyTorch
  • scikit-learn
  • TensorFlow

О компании и продукте

  • Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty.
  • Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK.
  • When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.
  • As a Lead Machine Learning Engineer to 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.

Задачи

  • 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
  • WHY FACULTY?
  • We established Faculty in 2014 because we thought that AI would be the most important technology of our time
  • Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI
  • You can read about our real-world impact here https://faculty.ai/impact
  • We don’t chase hype cycles
  • We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well

Требования

  • 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
  • THE INTERVIEW 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)
  • OUR RECRUITMENT ETHOS
  • We aim to grow the best team - not the most similar one
  • We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth
  • And we know from experience that diverse teams deliver better work, relevant to the world in which we live
  • We’re 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
  • Some of our standout benefits
  • Unlimited Annual Leave Policy
  • Enhanced parental leave
  • Family-Friendly Flexibility & Flexible working
  • Sanctus Coaching

Условия

  • Private healthcare and dental

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