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Machine Learning Engineer MLOps Python LLM AWS

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Machine Learning Engineer (MLOps Python LLM AWS) London / WFH
to £90k
Are you a senior Machine Learning Engineer looking for an opportunity to take ownership, working on complex and interesting systems?
You could be progressing your career in a hands-on technical leadership role at a SaaS FinTech; their capital market tools are used by Investment Banks and independent research providers to automate and analyse client service and research consumption, presenting a complete overview of the client relationship made available via the Cloud.
About the Role
As a Machine Learning Engineer you will lead the Machine Learning activities within the Insights and Data Analytics Team from conception to deployment, creating and scaling high-impact models that solve core product challenges.
You'll define the Machine Learning roadmap from a technical perspective, evaluating model architectures, optimising data pipelines and ensuring that ML features provide actionable insights within the product. This isn't just about training models; it's about building the ML infrastructure that enables the business to iterate and scale with confidence.
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.
There's a modern tech stack, you'll primarily be using Python and AI within an AWS cloud environment, collaborating and providing technical leadership to a small team.
Location / WFH
You can work from home most of the time, meeting up with colleagues in the London office twice a month for team collaboration and meetings.
About You
- You are an experienced Machine Learning Engineer who prioritises system reliability, latency and observability as much as model accuracy
- You have strong Python skills and experience of leveraging the AWS stack to move models from development environments to robust production services
- You have strong MLOps experience
- You have experience training, deploying and supporting non-LLM models as well as supporting LLM Services in a production environment
- You're comfortable designing high-throughput APIs, managing data and implementing solutions
- You have a strong knowledge of software engineering best practices including TDD, Pair Programming
- You're collaborative, comfortable mentoring others, provide technical direction and communicating with senior stakeholders
- You have achieved a 2.1 or above in Computer Science or closely related discipline from a top tier university


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What's in it for you
- Salary to £90k
- WFH office budget
- Mainly remote working (x2 days a month in London)
- Tailored personal flexible benefits package
Apply now to find out more about this Machine Learning Engineer (MLOps Python LLM AWS) opportunity.
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