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Senior Machine Learning Engineer Python AWS

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Senior Machine Learning Engineer (Python AWS MLOps) Remote UK to £105k
Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production?
You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; their platform enables an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks.
As a Senior Machine Learning Engineer you'll join a cross functional team, collaborating with Data Scientists and Software Engineers on complex insurance underwriting and pricing systems. They'll be a range of projects including data modelling and implementing Machine Learning algorithms, with Greenfield projects in the pipeline around forecasting and pricing.
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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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 collaborative team Agile environment where you'll participate in technical discussions and have your voice heard, there's also opportunities to mentor other more junior team members if desired.
Location / WFH:
The company is a big advocate of flexible working and prides itself on DEI; you can go into the London office as often or as little as desired and can work fully remotely from anywhere in England; you can also work at times that suit you.
About you:
- You are a data savvy Machine Learning Engineer with advanced Python coding skills and a strong knowledge of AWS
- You have experience of across the full lifecycle of ML model development including into production
- You're collaborative, enjoy problem solving and working with others to overcome technical challenges
- You have a good knowledge of modern software engineering best practices, microservices, TDD / DDD, common Design Patterns
- Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential


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What's in it for you:
As a Senior Machine Learning Engineer (Python AWS) you will earn a competitive package:
- Up to £105k salary
- Remote working including flexible working hours
- Workplace nursery scheme
- Enhanced maternity package
- 25 days holiday plus ability to buy or sell 5 days p/year + extra "duvet day"
- Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme
- Weekly Yoga and monthly Acupuncture sessions, Headspace membership
- Diverse, inclusive team environment with a range of support networks
- A range of other perks including Perkbox, cycle to work, season ticket loan
Apply now to find out more about this Senior Machine Learning Engineer (Python AWS MLOps) opportunity.
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