Hiiya
Machine Learning Engineer

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Hiiya are hiring MLOps Engineers in Manchester.
And this is proper AI work not “we bought everyone Copilot and now our website says we’re AI-first.”
The company is a specialist MLOps consultancy working with clients to actually build, deploy and productionise machine learning systems.
That means projects involving things like:
- Self-hosted LLMs and AI agents
- RAG systems
- Computer vision
- Model training and serving
- Experiment tracking
- Kubernetes
- Cloud infrastructure
- Open-source MLOps tooling
- Taking interesting prototypes and making them work properly in the real world
They’ve worked across everything from startups and major organisations through to public sector and secure government environments.
I’m recruiting at two levels:
Senior MLOps Engineer | £65k to £80k
This is primarily a hands-on engineering role.
You’ll be building production-grade ML systems in Python, deploying them into cloud environments, working with modern DevOps/MLOps tooling and dealing directly with customers.
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.
You don’t necessarily need “MLOps Engineer” written on your current job title.
You could come from ML Engineering, DevOps, Data Engineering or a similar background, provided you’ve actually built and deployed ML software in production.
Lead MLOps Engineer | £80k to £100k
Still technical & writing code hands on.
But you’ll also take more ownership of projects, architecture and engineering standards, mentor other engineers, lead delivery and work directly with clients to figure out what they actually need.
So they’re looking for somebody who can explain a technical decision to an engineer, a customer and potentially somebody who thinks Kubernetes is a fitness class.
The wider environment is very engineering-led, they like open source & they invest time into R&D.


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They actively encourage engineers to experiment with new tools rather than waiting three years for Gartner to tell them it’s safe.
And some of the stuff they’re building is genuinely interesting.
Important logistical bit before 400 people message me asking if it’s remote:
📍 Central Manchester
🏢 Hybrid - 3 days per week in the office
The three office days are fixed.
There’s also an important eligibility requirement.
Some projects require UK Government SC security clearance, so you must have been continuously resident in the UK for at least the last 5 years.
Unfortunately, that bit isn’t negotiable either.
If you’re an ML Engineer, MLOps Engineer or DevOps-minded engineer who wants to spend more of your time building actual AI systems rather than putting “AI enthusiast” in your LinkedIn headline, what are you waiting for?
“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.”
Jessica, London
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