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Machine Learning Lead Engineer

London
Posted 1 day ago
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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.

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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.

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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

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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.

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
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Skills

Machine Learning
MLOps
Python
APIs
Software Engineering
Deployment
Monitoring
Model Lifecycle Management
Mentoring
Collaboration
CI/CD
MLflow
Airflow
Docker
Kubernetes
Cloud

Location

London, England, United Kingdom

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