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VIQU IT Recruitment

Machine Learning Engineer

London
£70k – £85k/yr
Posted about 22 hours ago
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Machine Learning Engineer

London | 3 days a week in London
£70,000 - £85,000 + 25% Bonus

VIQU has partnered with an insurance organisation looking for a Machine Learning Engineer to build, deploy, and operate production-grade machine learning systems across business-critical analytical functions.

This is a hands-on engineering role focused on taking ML models from development into reliable and scalable production environments.

Key Responsibilities of the Machine Learning Engineer

  • Build automated ML pipelines for feature engineering, training, and scoring.
  • Productionise Data Science models into modular, tested code.
  • Deploy models into batch and real-time environments.
  • Manage model promotion, rollback, and versioning.
  • Implement data drift and model drift monitoring.
  • Build performance alerts, logging, and automated retraining.
  • Collaborate with Data Engineering and Platform teams on CI/CD.
  • Improve pipeline performance and compute efficiency.
  • Maintain strong testing, documentation, and engineering standards.

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.

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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 Requirements of the Machine Learning Engineer

  • Strong Python, PySpark, and SQL engineering skills.
  • Hands-on Databricks, MLflow, and Delta Lake experience.
  • Experience with distributed data and ML pipelines.
  • Strong understanding of production model deployment.
  • Experience with monitoring and drift detection.
  • Exposure to Azure DevOps and/or GitHub Actions.
  • Exposure to containerisation and API integration.
  • Strong production coding practices.

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The Machine Learning Engineer will suit someone who enjoys bridging the gap between Data Science and production engineering while retaining hands-on ownership of ML systems. This is an opportunity for a Machine Learning Engineer looking to work across the full production model lifecycle in a technically focused environment.

Apply now to speak with VIQU IT in confidence, or contact Aaron on the VIQU website. Know someone great? Refer them and receive up to £1,000 if successful (terms apply). For more roles, follow @VIQU IT Recruitment on LinkedIn.

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Location

London, England, United Kingdom

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