Digital Waffle
Senior Machine Learning Engineer

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As a Senior Machine Learning Engineer
As a Senior Machine Learning Engineer, you will lead the development of critical ML capabilities that support our production platform. This role is ideal for an Engineer who thrives in solving open-ended technical challenges, building scalable systems, and delivering measurable business impact through production-ready machine learning.
Role: Senior ML Engineer
Location: UK-based remote working
Role and responsibilities:
- Architect, implement, and maintain foundational machine learning services that enable intelligent, forward-looking AI experiences.
- Take ownership of the ML development lifecycle, including data engineering, model development, evaluation, deployment, monitoring, and continuous improvement.
- Translate emerging research concepts into robust, production-grade solutions that perform reliably at scale.
- Investigate model behavior using operational data, diagnose failures, and implement improvements that enhance system performance.
- Deliver incremental improvements through rapid experimentation, measurement, and iterative optimisation.
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.
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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.
Skills/experience:
- Python
- PyTorch and/or JAX
- GPU-accelerated training and inference infrastructure
- Demonstrated experience building, deploying, and supporting machine learning applications used in production environments.
- Strong understanding of how modern machine learning models perform under real-world conditions, including diagnosing and resolving production issues.
- Excellent software engineering skills with a focus on writing maintainable, testable, and scalable code.
- A systems-oriented mindset that considers the broader architecture rather than isolated components.


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