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Machine Learning Engineer

London
£438/day
Posted about 18 hours ago
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MLOps Engineer-Azure ML Specialist

Location: London 2-3 WFO
Duration: 31/12/2026
Rate: £438 per day (PAYE through FCSA Umbrella)

Role Description

Purpose: Assess and document the existing Azure ML estate and support migration of workloads.

Key Responsibilities

  • Investigate current Azure ML development patterns and Data Scientist workflows.
  • Analyse training pipelines, deployment pipelines, model artefacts, and monitoring capabilities.
  • Document dependencies, integrations, and data flows.
  • Extract and transition model assets, configurations, and deployment patterns.
  • Support migration and testing of pilot models.
  • Provide recommendations for migration and 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.

Start with a chat, not a search bar

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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.

Key Experience

  • Strong hands-on Azure ML experience.
  • Python and machine learning frameworks.
  • Azure DevOps, CI/CD, and model lifecycle management.
  • Experience supporting production ML workloads.

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If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often shortlisted within 48 hours.

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Location

London, England, United Kingdom

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