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Graduate Machine Learning Engineer

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Graduate Machine Learning Engineer
job 145d left
Graduate Machine Learning Engineer
Posted June 13, 2026
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Compare the Market is seeking a Graduate Machine Learning Engineer to join its Data team in London.
As a Graduate Machine Learning Engineer, you will work with experienced Machine Learning Engineers and Data Scientists to productionise machine learning models and transform prototypes into reliable, scalable services. This role offers an excellent opportunity for recent graduates to gain hands-on experience with modern machine learning tools, MLOps practices, and AI deployment in a fast-paced technology environment.
Key Responsibilities
- Collaborate with Machine Learning Engineers and Data Scientists to deploy machine learning models into production.
- Develop and maintain machine learning pipelines for training, validation, and deployment.
- Apply best practices in testing, CI/CD, version control, and infrastructure as code.
- Work closely with product managers, engineers, and analysts in cross-functional teams.
- Learn and grow through mentorship from experienced technical leaders.
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.
Requirements
- Bachelor's degree (or expected graduation) in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or another quantitative field.
- Minimum expected classification equivalent to a UK 2:1 degree.
- Experience with Python through coursework, personal projects, or internships.
- Understanding of machine learning workflows and model evaluation.
- Interest in MLOps, model governance, and responsible AI.
- Strong problem-solving and analytical skills.
- Ability to work effectively in collaborative team environments.


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Benefits
- Structured graduate development programme.
- Mentorship from industry experts.
- Exposure to real-world AI and machine learning projects.
- Opportunity to work for one of the UK's leading financial comparison platforms.
Location: London, United Kingdom
Location: London, United Kingdom
Deadline: December 31, 2026
Posted: June 13, 2026
Ready to apply?
Don’t wait — 145d left until the deadline.
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Quick Info
Location: London, United Kingdom
Deadline: December 31, 2026 145d left
Type: job
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