Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Faculty

Lead Machine Learning Engineer

Faculty

. Set the technical direction for complex machine-learning projects and guide team priorities .

Posted 10/8/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python and machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch, while leading teams to develop scalable solutions in cloud environments like Azure, GCP, or AWS. Proven ability to mentor engineers, manage project delivery, and communicate effectively with diverse stakeholders.

Highest-signal resume keywords
Python ProgrammingMachine Learning OperationalizationCloud Solution ExpertiseTeam LeadershipDocker and Kubernetes

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

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

Hard Skills
PythonScikit-learnTensorFlowPyTorchCloud SolutionsDockerKubernetesFull-Stack Web ApplicationsArchitectural Decision-MakingProject Delivery
Soft Skills
CommunicationMentoringTeam ManagementProblem-SolvingCoaching
Tools & Technologies
AzureGCPAWS
Industry Keywords
Machine LearningSoftware SystemsOrganisational ResourcesWorkstream ManagementTechnical Direction

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • Set the technical direction for complex machine-learning projects and guide team priorities
  • Design, implement, and maintain reliable, scalable machine-learning and software systems
  • Justify key architectural decisions
  • Define project problems, develop roadmaps, and oversee delivery across multiple workstreams
  • Drive development of shared organisational resources and libraries
  • Guide engineers contributing to shared resources and libraries
  • Lead hiring processes and make selection decisions
  • Mentor multiple individuals and foster team growth
  • Recommend and execute adoption of new technologies and changes to ways of working
  • Act as a technical expert and coach for customers
  • Estimate large workstreams and defend rationale to stakeholders

Requirements

What you’ll need
  • Strong Python skills
  • Practical experience operationalising models using Scikit-learn, TensorFlow, or PyTorch
  • Expert in at least one major cloud solution provider: Azure, GCP, or AWS
  • Experience leading teams to build full-stack web applications
  • Hands-on experience with Docker and Kubernetes
  • Ability to manage and coach a team of engineers
  • Ability to set team-wide development goals
  • Ability to develop novel solutions for project delivery and take ownership of outcomes
  • Excellent communication skills with technical teams and non-technical stakeholders
  • Ability to work in the UK; visa sponsorship requirements are asked in the application form

Benefits

Comp & perks
  • Part-time hours are open for discussion
  • Applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations are encouraged
  • AI may be used for research and interview preparation
  • Interview AI note-taker opt-out available