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Haystack

ML Engineer

London
Posted about 14 hours ago
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We're hiring on behalf of a Haystack partner!

The Role

  • Design, train, and optimise machine learning models focused on user personalisation, recommendation engines, ranking algorithms, user segmentation, and content analysis.
  • Construct and maintain robust and scalable data pipelines for feature engineering and model training.
  • Deploy and supervise ML models in production environments, ensuring high availability and optimal performance.
  • Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy.
  • Engage with multidisciplinary teams to align machine learning initiatives with business objectives.
  • Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration.

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.

P

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

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.

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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.

What You'll Need

  • Demonstrated expertise in the full lifecycle of machine learning, from model development to monitoring and maintenance.
  • Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch).
  • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (e.g., Tensorflow Serving, Triton, TorchServe).
  • Experience with high-volume data processing and real-time streaming architectures.
  • Strong understanding of recommendation system design and personalisation algorithms.
  • Familiarity with Generative AI and its applications in production settings.

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What's On Offer

  • Hybrid working model with 2 days a week onsite.
  • Sky Q and Sky Glass at exclusive rates.
  • Generous pension package and private healthcare.
  • Discounted mobile and broadband services.

Apply via Haystack today!

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“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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Skills

Machine Learning
Python
TensorFlow
PyTorch
TFX
Kubeflow Pipelines SDK
Tensorflow Serving
Triton
TorchServe
Data Processing
Real-Time Streaming
Recommendation Systems
Personalisation Algorithms
Generative AI

Location

London, England, United Kingdom

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