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Canonbury

Machine Learning Engineer

San Francisco
Posted over 2 years ago
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About the Role

We are seeking a motivated and experienced Machine Learning Engineer to join our dynamic team. The successful candidate will be responsible for designing, developing, and deploying machine learning models to solve complex business problems.

Responsibilities

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.

  • Working with large datasets
  • Implementing various ML algorithms
  • Collaborating with cross-functional teams to integrate ML solutions into production systems

Requirements

  • Strong understanding of Python, ML frameworks (TensorFlow, PyTorch), and cloud platforms (AWS, Azure)
  • Experience with data preprocessing, feature engineering, and model evaluation

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Qualifications

  • Master's or PhD in Computer Science, Statistics, or a related field
  • At least 3 years of relevant experience
  • Excellent problem-solving and communication skills
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Skills

Python
Machine learning
TensorFlow
PyTorch
AWS
Azure
Data preprocessing
Feature engineering
Model evaluation
Problem-solving
Communication

Location

Canonbury, London N1 2AN, UK

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