Faculty

Lead Machine Learning Engineer

Faculty

full-time

Posted on:

Location Type: Hybrid

Location: United Kingdom

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnTensorflow

About the role

  • 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.

Requirements

  • 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.
Benefits
  • Unlimited Annual Leave Policy
  • Private healthcare and dental
  • Enhanced parental leave
  • Family-Friendly Flexibility & Flexible working
  • Sanctus Coaching
  • Hybrid Working (2 days in our Old Street office, London)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonScikit-learnTensorFlowPyTorchCloud Solution Providerfull-stack web applicationsDockerKubernetes
Soft Skills
team managementcoachingcommunicationproblem-solvingmentoringdecision-makingownershipleadership