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Machine Learning Lead Engineer
We're looking for a Machine Learning Lead Engineer who wants to operate as a player-coach - someone still very hands-on, but excited to grow into a proper management role over time. This is not a pure manager role from day one. You'll be building, shipping, and improving ML systems while gradually taking on more team leadership responsibilities.
Key Responsibilities
What you'll do:
- Build and maintain production-grade ML systems and pipelines
- Stay hands-on (coding, reviews, debugging, deployments)
- Mentor a small team of ML engineers (2-3 people initially)
- Establish ML engineering & MLOps best practices
- Improve deployment, monitoring, and model lifecycle management
- Collaborate with DS, Risk, Product, and Engineering
- Help shape roadmap and hiring
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.
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.
See breakdownIt 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.
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.
Skills, Knowledge & Expertise
- Strong background as an ML Engineer (not purely DS/research)
- Experience deploying and running ML models in production
- Solid software engineering skills (Python, APIs, systems)
- Good understanding of MLOps stack (CI/CD, monitoring, pipelines)
- Familiarity with tools like MLflow, Airflow, Evidently, DVC, Docker, Kubernetes.
- Cloud experience (AWS/GCP/Azure)
- Some mentoring/leadership experience + desire to grow into management


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Nice to have:
- Experience scaling ML platforms or teams
- Fintech / lending / risk domain exposure
Job Benefits
We offer a comprehensive benefits package that includes:
- Stock Options
- Private Medical insurance via Vitality and Dental Insurance with BUPA
- EAP with Health Assured
- Enhanced Maternity and Paternity Leave
- Modern and sophisticated office space in Central London
- Free Gym in office building in Holborn
- Subsidised Lunch via Feedr
- Deliveroo Allowance if working late in office
- Monthly in office Masseuse
- Team and Company Socials
- Football Power League / Paddle and Yoga Club
“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.”
Jessica, London
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