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Opus Recruitment Solutions

Machine Learning Engineer - Up to £100k - Healthcare AI

London
£100k/yr
Posted about 19 hours ago
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Machine Learning Engineer - Up to £100k - Healthcare AI

Machine Learning | MLOps | Python | AWS | Data Science | SQL | APIs | Healthcare | AI | Backend Engineering | Distributed Systems

Do you want to build AI that genuinely helps healthcare providers treat more patients and reduce NHS waiting lists?

A business where machine learning is the product, not just bolted on as an afterthought?

This is the opportunity to join a business building a new category of technology focused on Healthcare Capacity Intelligence. Their platform helps healthcare organisations identify, recover and redeploy lost clinical capacity before it disappears, helping improve utilisation, reduce waiting times and ultimately deliver better outcomes for patients.

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.

Building proprietary machine learning models, you'll own the full lifecycle including training pipelines, model serving, monitoring, retraining and production deployment.

You'll also design scalable APIs and backend services, process large volumes of sensitive healthcare data and ensure reliability, observability and performance across critical systems.

The ideal background includes:

  • Experience with Python, SQL, AWS, Machine Learning, Data Science, MLOps, backend engineering, APIs and large-scale system design.
  • Experience with reinforcement learning, Docker, Kubernetes, ECS, or Terraform would be advantageous.

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The role offers up to £100k plus hybrid working in London and the opportunity to build technology that genuinely improves patient care at scale.

If it ticks those boxes, don't hang about - apply or email me on Sophia.weedon@opusrs.com

Machine Learning | MLOps | Python | AWS | Data Science | SQL | APIs | Healthcare | AI | Backend Engineering | Distributed Systems

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Skills

Machine Learning
MLOps
Python
AWS
Data Science
SQL
APIs
Healthcare
AI
Backend Engineering
Distributed Systems

Location

London, England, United Kingdom

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