xelys jobs xelys jobs

Machine Learning Engineer

Faculty

full-remotemidpermanentbackend Full remote - London, GB 14 days ago via WTTJ

See how well this job matches your profile

Sign up to get an AI match score and generate a tailored application in seconds.

Get your match score

Tags

Machine LearningResponsible AIProduction MLMLOpsScalable SystemsInfrastructureCross-functional CollaborationAI Solutions

About the role

Role overview

You will be a Machine Learning Engineer at Faculty, helping deliver responsible, client-facing AI solutions. The position focuses on building and deploying machine learning in production while collaborating across engineering, data science, and commercial teams.

Key missions

  • Build and deploy production-grade machine learning software, tools, and infrastructure.
  • Create reusable, scalable solutions that speed up delivery of ML systems.
  • Collaborate with engineers, data scientists, and commercial leads to solve client challenges.

Work location

  • Full remote with the option to work from the London office or remotely within the UK.

About Faculty

Faculty is a leading AI company focused on building and deploying responsible AI solutions for diverse clients. The role emphasizes delivering production-grade machine learning systems and helping teams define best practices for deploying ML at scale.

Scraped 4/28/2026

xelys jobs xelys jobs

Built for remote job seekers. Powered by AI.