At a Glance
- Tasks: Lead the development of machine learning capabilities from scratch for a major optimisation problem.
- Company: Innovative manufacturing firm ready to embrace machine learning.
- Benefits: Remote work, competitive pay, and a chance to shape ML processes.
- Other info: Exciting opportunity to make impactful decisions in a dynamic environment.
- Why this job: Be the pioneer in transforming manufacturing with cutting-edge machine learning solutions.
- Qualifications: Proven experience in deploying ML models and building capabilities from the ground up.
The predicted salary is between 72000 - 88000 £ per year.
This business has never run machine learning in production. This is the role that changes that, and it starts on the single highest-value optimisation problem they have.
It's a physical manufacturing process where getting the settings right first time, instead of running it again, saves material, energy and time at very large scale.
Today that judgement sits with a handful of specialists.
You'd build the ML capability that supports and extends it, from data pipeline and training workflow through to serving, monitoring and the standards every model that follows will be held to.
You’ll begin with no ML platform, no playbook, no team to slot into.
You define all of it.
The data involved is also the company's most sensitive IP, so everything runs inside a closed perimeter with no external egress, and that constraint shapes how you build from day one.
What this needs
- You're senior enough to be the last word on ML decisions here, because there's no ML lead above you to escape to and the calls are yours to make.
- You've taken a model from proposal to production and measured the business impact, so you'll understand why this starts with offline validation, then shadow mode, then a controlled live trial, and why research-only experience won't carry it.
- You've built a capability from nothing before, because a defined problem with no existing scaffolding either energises you or unsettles you, and this role needs the former.
Remote, with 1-2 days a month on-site in Scotland. Outside IR35, 12+ months project.
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Lead Machine Learning Engineer in Glasgow employer: Be-IT
Be-IT is an exceptional employer that fosters a collaborative 'One Team' culture, where ownership and teamwork are at the forefront of our operations. Located in the UK, we offer a competitive benefits package alongside ample opportunities for professional growth, making it an ideal environment for experienced Full-Stack Engineers looking to make a meaningful impact in the AI-driven SaaS space.
