Harnham
Principal Machine Learning Engineer

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LEAD MACHINE LEARNING ENGINEER
EU Remote
THE COMPANY
A global technology business operating at significant scale is looking to expand its Machine Learning capability. Their ML function sits at the core of the business, owning end-to-end machine learning systems that power critical commercial outcomes. They foster a collaborative engineering culture where experimentation, ownership, and technical excellence are highly valued.
THE ROLE
- Lead the technical direction of machine learning initiatives, helping shape architecture, best practices, and long-term strategy
- Design, develop, and optimise predictive machine learning models used in large-scale production environments
- Scale ML infrastructure including feature stores, training pipelines, model lifecycle management, and experimentation frameworks
- Drive the performance of real-time inference systems, balancing latency, scalability, and model accuracy
- Own end-to-end MLOps processes including monitoring, model performance evaluation, drift detection, and automated retraining
- Partner closely with engineering, analytics, and commercial stakeholders to translate business objectives into impactful machine learning solutions
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
YOUR SKILLS & EXPERIENCE
- Strong commercial experience building and owning production machine learning systems at scale
- Expertise in Python and modern machine learning frameworks such as PyTorch or TensorFlow
- Experience deploying and optimising real-time machine learning systems in production environments
- Strong understanding of MLOps, experimentation, model monitoring, and machine learning infrastructure
- Excellent software engineering fundamentals and experience writing production-quality code
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders


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WHAT THEY OFFER
- Competitive salary with performance-based bonus
- Flexible hybrid working model
- Enhanced wellbeing and mental health support
- Additional leave and flexible working benefits
- Strong learning and development environment
- Opportunity to influence machine learning strategy within a high-impact engineering team
HOW TO APPLY
If you're a Machine Learning Engineer looking for a role that combines technical leadership, large-scale machine learning, and real-world impact, please apply today for more information.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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