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MLOps Engineer

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MLOps Engineer
MLOps Engineer π Want to build the platform that powers cutting-edge machine learning?
We're partnering with a venture-backed deep-tech startup using AI to tackle complex, real-world challenges in a critical global industry. As their Founding MLOps Engineer, you'll build the infrastructure that takes world-class ML research into production.
Working alongside exceptional ML researchers and software engineers, you'll shape the company's ML platform from the ground up.
What You'll Do π οΈ Build scalable ML training and inference pipelines Design cloud infrastructure and deployment workflows Develop robust data pipelines and tooling for ML teams Improve reproducibility, model governance and observability Shape the long-term architecture of the ML platform
Reasons to use Rodeo
Iβm in my final year doing Economics and I donβt know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer β it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) donβt need a masters. Letβs look at the ones youβd 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 β that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant β 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
Youβve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon β 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 β 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 β and where to focus when applying.
What You'll Bring π‘ Strong Python engineering skills Commercial experience in MLOps, ML Platform Engineering or Data Engineering supporting production ML systems Experience with AWS, GCP or Azure A track record of building scalable infrastructure and automation A proactive mindset with the ability to thrive in an early-stage, high-ownership environment Nice to Have Experience with geospatial data or scientific computing Kubernetes, Terraform, CI/CD or Infrastructure as Code Model governance, monitoring or ML lifecycle tooling


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Why Join? π Be one of the first engineering hires Shape the technical direction and ML platform from day one Work alongside world-class researchers and engineers Build technology with genuine real-world impact
βIt 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 Iβve been looking for.β
Jessica, London
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