Arrows
Machine Learning Engineer

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We're working with a global media company looking for a Senior ML Engineer to own personalisation end to end.
You'll be shipping models to production, building the pipelines that feed them, and running the experiments that improve them, all in service of recommendation engines and ranking algorithms that directly impact user experience.
What you'll be doing:
- Design, train and optimise ML models for personalisation and recommendations
- Build and maintain scalable data pipelines for feature engineering and model training
- Deploy and monitor models in production — performance, availability, relevance
- Lead A/B testing and offline experiments to drive continuous improvement
- Evaluate emerging research in deep learning and GenAI for real-world 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.
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.
What we're looking for:
- Full ML lifecycle experience — from development through to monitoring in prod
- Python + TensorFlow or PyTorch
- Kubeflow, TFX or similar training frameworks
- Model serving experience — Triton, TorchServe, TF Serving
- Real-time streaming and high-volume data processing
- Strong grasp of recommendation systems and personalisation algorithms
- Familiarity with Generative AI in production settings


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#MachineLearning #MLEngineer #Personalisation #RecommendationSystems #MLOps #NowHiring
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