Relomote
Remote JobsRelocation Jobs
Add companySaved
Relomote

Relomote is a job board for remote, hybrid, and relocation jobs — every listing AI-classified for the countries it actually hires from, or the visa and relocation support it offers.

LinkedInCrunchbase

Remote jobs by category

  • Remote Engineering & Development jobs
  • Remote Customer Support jobs
  • Remote Design jobs
  • Remote Marketing jobs
  • Remote Sales jobs
  • Remote Product jobs
  • Remote Data & Analytics jobs
  • Remote People & Talent jobs
  • Remote Writing & Content Creation jobs
  • Remote Finance jobs
  • Remote Legal & Compliance jobs
  • Remote Operations & Admin jobs
  • Remote Data Entry jobs
  • Remote Virtual Assistant jobs
  • Remote Education/Training jobs
  • Remote Healthcare/Clinical jobs
  • Remote Other jobs

Remote jobs by location

  • Work from anywhere jobs
  • Remote jobs in Africa
  • Remote jobs in Asia
  • Remote jobs in Europe
  • Remote jobs in Latin America
  • Remote jobs in Middle East
  • Remote jobs in North America
  • Remote jobs in Oceania
  • All remote jobs →

Relocation & visa sponsorship

  • Visa sponsorship jobs
  • Relocation package jobs
  • Relocate to Europe
  • Relocate to Germany
  • Relocate to Netherlands
  • Relocate to Spain
  • Relocate to Portugal
  • Relocate to Greece
  • Relocate to United Kingdom
  • Relocate to Canada
  • Relocate to Australia
  • Relocate to Sweden
  • Relocate to Switzerland
  • Relocate to Japan
  • Relocate to United Arab Emirates
  • All relocation jobs →

© 2026 RelomoteAboutPrivacyTerms

Contact [email protected] · Built by Mahmoud

Relomote
Remote JobsRelocation Jobs
Add companySaved
Faculty logo

Principal Machine Learning Engineer

Faculty
Posted Jul 1, 2026, 9:45 PM UTC
🇬🇧United Kingdom🏢Hybrid📁Data & Analytics
Is this job info correct?

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 . 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. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the role As a Principal Machine Learning Engineer, you'll serve as the definitive technical authority on ML engineering across the organisation, setting the standard for how we design, build, and scale AI systems. You will own the architectural vision for our most complex and high-stakes programmes, influence engineering strategy at an organisational level, and act as a trusted partner to senior leadership and executive clients. This role goes beyond leading projects, you are a force multiplier who shapes the engineering culture, elevates the capability of those around you, and ensures our technical foundations are built to last. What you'll be doing: Defining and owning the organisation-wide technical vision for ML engineering, establishing architectural standards and engineering practices that scale across teams and clients. Overseeing the end-to-end delivery of flagship, business-critical ML programmes, spanning multiple workstreams, engineering teams, and client organisations. Driving the strategic adoption of new technologies, platforms, and ways of working, influencing how the entire engineering craft evolves. Cultivating senior engineering talent, coaching leads and managers, building capability pipelines, and embedding a culture of technical rigour and excellence. Acting as the principal technical voice in C-suite and executive client engagements, shaping AI strategy and securing long-term strategic partnerships. Leading on the most significant sales and pre-sales opportunities, providing architectural authority that differentiates our proposition and wins high-value engagements. Partnering with Data Science, Commercial, and Infrastructure leadership to align ML engineering strategy with broader business goals and growth ambitions. Who we're looking for: You are a recognised ML engineering authority, able to go exceptionally deep across multiple domains and provide definitive technical judgement on the hardest problems. You have mastery of Python and a proven track record of designing and operationalising production-grade ML systems at scale, across multiple frameworks and paradigms. You are an expert across multiple major Cloud Solution Providers and have set the architectural direction for complex, full-stack AI platforms spanning multiple organisations. You have deep expertise in containerisation, orchestration, and MLOps at scale, and have established the standards others follow. You have a proven track record of developing senior engineering talent, coaching leads and managers, building capability, and shaping high-performance engineering cultures. You have a visible external profile, through publications, conference contributions, open-source leadership, or industry influence, that reflects your standing in the field. You operate naturally at the executive level, translating complex ML engineering decisions into commercial outcomes and proactively shaping the strategic direction of client engagements. Our 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 Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Similar jobs

Similar jobs

Runware logo

Senior Machine Learning Engineer

Runware

🇬🇧United Kingdom10 hours ago
Oni logo

Scientific Imaging / Machine Learning Engineer

Oni

🇬🇧United Kingdom3 days ago
Greenlever logo

Machine Learning Systems Engineer, Ads ML Platform

Greenlever

🇬🇧United Kingdom4 days ago
Bumble Inc. logo

Machine Learning Engineer (UK)

Bumble Inc.

🇬🇧United Kingdom4 days ago
peopleworth logo

Learning Systems Engineer

peopleworth

🌍South Africa, United Kingdom5 days ago
FR

Machine Learning Engineer

Futureheads Recruitment | B Corp™

🇬🇧United Kingdom1 weeks ago