Gravitas Recruitment Group (Global) Ltd
Senior MLOps Engineer

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Senior MLOps Engineer
Manchester | Hybrid (3 days on-site)
£65k - £80k + Equity
We’re partnering with a fast-growing Manchester consultancy on the lookout for a Senior MLOps Engineer to join their engineering team. This is an opportunity to work at the forefront of Open Source MLOps, helping clients turn cutting-edge machine learning into robust, production-ready systems that deliver real impact.
If you’re passionate about Python, excited by emerging ML tooling, and want to help shape how organisations adopt AI responsibly and effectively, this role puts you right at the centre of it.
The Role
You’ll be embedded within a collaborative engineering squad, contributing across the full lifecycle of client delivery. Expect variety, research one week, architecture and coding the next, followed by deployment, automation, and coaching teams in modern MLOps practices.
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.
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.
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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.
Your day-to-day will include:
- Working directly with clients to understand problems and propose the right technical solutions
- Owning the delivery of key features: planning, architecting, coding, and occasionally delegating
- Helping run agile ceremonies: sprint planning, retrospectives, code reviews
- Pair-programming and maintaining high engineering standards across the team
- Staying ahead of the curve with new ML and MLOps tools, frameworks, and best practices
- Coaching junior engineers and supporting clients in developing their own MLOps capabilities
- Contributing to internal R&D projects, blogs, and videos as part of the company’s community-driven culture
This is a place where you’ll genuinely help shape the engineering culture and the future of the company as it scales.
Who We’re Looking For
- Experience in a Data Science, Machine Learning, or Software Engineering role
- Strong Python skills and the ability to write clean, production-grade code
- Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn)
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Understanding of DevOps concepts and infrastructure-as-code tools
- Proficiency with Git, Unix/Linux, Docker
- Excellent communication skills, with confidence in client-facing environments
- A degree in Computer Science, Mathematics, or a related scientific discipline
- Ability to work from the Manchester office 3 days per week
- Eligibility for UK SC clearance


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Why Join?
This consultancy is small enough that your work genuinely shapes the direction of the company, but established enough to offer stability, diverse client projects, and a supportive team who care deeply about engineering excellence.
“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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