Owen Thomas | B Corp™
Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000+Stocks & Benefits

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Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000+Stocks & Benefits
Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000+Stocks & Benefits
Owen Thomas is partnering with a high-growth, venture-backed InsurTech scale-up that is disrupting a massive $200B global market. Using AI they deliver automation that is up to 3× faster than legacy industry standards allowing insurance companies to act quicker and save millions.
The company have found a niche within a niche and are already proving to be valuable to some the worlds leading insurance firms. Because of this they have been backed by some of Europe’s and Silicon Valley's most prestigious venture capital firms.
As they scale towards their next major milestone, they are seeking a Machine Learning Engineer to help build the AI platform powering the future of automated operations. This is a full-time, office-based role in Central London, joining a high-intensity, mission-driven team that thrives on high performance and rapid execution.
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.
What will you be doing?
- Building intelligent systems that improve operational accuracy, accelerate assessments, and enhance user experience.
- Collaborate closely with domain specialists to translate complex, manual processes into AI-driven workflows.
- Deploy, monitor, and scale machine learning solutions in a production environment.
- Help shape the technical culture and engineering team from the ground up.
- Work side-by-side with the founding team, learning exactly how to scale a business from 0 to 1
Requirements for the Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000+Stocks & Benefits
- 2+ years of commercial experience in AI/ML engineering or applied research.
- Strong experience working on NLP projects.
- A proven track record of shipping AI/ML projects from initial concept to live production, driving core business metrics.
- A passion for high-velocity deployment—you love shipping code quickly.
- Strong communication skills and the ability to collaborate effectively with non-technical stakeholders.
- Comfort operating in ambiguous, rapid-growth, and high-velocity environments.


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What's in it for you?
- Highly competitive base salary of up to £165,000
- Generous, transparent equity participation.
- Comprehensive health insurance and pension contributions.
- 28 days annual leave (plus bank holidays) + 30 days of remote working flexibility per year.
- Full Skilled Worker visa sponsorship available for the UK.
If this sounds like something you would be interested in, drop over your CV and we will give you a call if we think you are a good fit!
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