Opus Recruitment Solutions
Machine Learning Engineer - Up to £100k - Healthcare AI

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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.
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.
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.
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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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