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Data Idols

Senior Machine Learning Engineer

London
£80k – £90k/yr
Posted about 23 hours ago
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Senior Machine Learning Engineer

Salary: £80,000 - £90,000

Location: London|Hybrid

Data Idols are working with an innovative technology business that is continuing to invest in its Machine Learning and AI capabilities. They are looking for a Senior Machine Learning Engineer to help build, deploy and scale production-grade AI solutions.

This is an exciting opportunity to work at the intersection of Machine Learning and software engineering, taking sophisticated AI models from development through to scalable, real-world production environments.

The Opportunity

As a Senior Machine Learning Engineer, you'll design, build and deploy high-performance Machine Learning solutions, working across modern AI and Generative AI technologies.

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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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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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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Only hits

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  • You'll work across the full ML lifecycle, from experimentation and development through to deployment, monitoring and optimisation in production.
  • You'll help establish robust MLOps practices and ensure Machine Learning services are scalable, reliable and performant.
  • There will also be a strong focus on performance and optimisation, including improving Python workloads, infrastructure efficiency and the performance of models in production environments.
  • You'll collaborate closely with engineering and AI teams to bridge the gap between Machine Learning development and production engineering.

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Skills and Experience

  • Excellent Python skills and experience with frameworks
  • Experience building and deploying Machine Learning models in production
  • Experience working with Generative AI and modern Machine Learning technologies
  • Strong understanding of MLOps, CI/CD and model deployment
  • Experience building APIs for Machine Learning

If you're a Senior Machine Learning Engineer who enjoys taking sophisticated Machine Learning technology and turning it into scalable, production-ready solutions, we'd love to hear from you.

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Location

London, England, United Kingdom

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