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Machine Learning Engineer Python AWS MLOps

London
£55k – £60k/yr
Posted about 18 hours ago
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Machine Learning Engineer (Python AWS MLOps) London / WFH

to £60k

Are you a Machine Learning technologist with strong Python and AWS skills?

You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent and detect fraudulent call activities.

As a Machine Learning Engineer you'll be focused on engineering

with around 80% of your time spent building and maintaining ML infrastructure, deploying and monitoring models, developing CI/CD pipelines, improving MLOps processes, refactoring code and adding new capabilities to existing ML services. You'll also gain exposure to model development, with plenty of opportunity to grow your data science skills over time.

There's an open, collaborative environment where learning and personal development are key and there's a strong pipeline of projects as well as flexible working and a host of benefits; the company has been awarded Platinum standard by Investors in People and is multi-award winning with various DEI initiatives and excellent personal growth and career development opportunities.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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.

Location / WFH

You'll join colleagues in the London office twice a week with flexibility to work from home the other days.

About you

  • You have experience in a similar Machine Learning / ML Ops role with experience of building and maintaining scalable data pipelines and ML platforms
  • You have a strong understanding of software engineering best practices (clean code, SOLID principles, design patterns) combined with Python coding skills
  • You have AWS experience
  • You're able to dig into system performance to optimise data pipelines and workflows
  • You're familiar with containerisation (Docker) and CI/CD tools
  • You're degree educated in a relevant STEM discipline

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What's in it for you

As a Machine Learning Engineer you will earn a competitive package:

  • Salary to £60k + bonus
  • 25 days holiday (with the option to buy 5 more)
  • Flexible working (including working from home start / finish times)
  • Enhanced maternity and paid parental leave packages
  • Time off to participate in charity initiatives such as Code Club
  • Pension, Life Assurance, Medical care
  • Monthly Wellness budget to spend on what you like
  • Gym membership
  • Annual home office budget
  • Diverse, inclusive team culture with flexible working

Apply now to find out more about this Machine Learning Engineer (Python AWS MLOps) opportunity.

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Skills

Machine Learning
Python
AWS
MLOps
Data Pipelines
Software Engineering
Clean Code
SOLID Principles
Design Patterns
Containerization
Docker
CI/CD Tools

Location

London, England, United Kingdom

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