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5V Video

Principal Machine Learning Engineer

London
Posted 2 months ago
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Principal Machine Learning Engineer – Sports AI & Personalisation West London (Hybrid) Freelance Contract - 6 Months (Expected Extensions) Rates - Negotiable

What if AI could completely change how millions of fans experience live sport? We're currently partnering with a major consumer technology and media business that’s investing heavily in AI-driven sports experiences.

They’re building next-generation platforms that use machine learning, computer vision, and generative AI to transform how millions of fans engage with live sport; from real-time insights and predictive analytics to highly personalised viewing experiences.

They’re now looking for a Principal Machine Learning Engineer to play a key role in shaping the architecture, strategy, and delivery of large-scale production ML systems powering live sports environments.

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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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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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.

This is a genuinely high-impact opportunity for someone who enjoys solving complex real-time engineering challenges while influencing technical direction across AI, data, and platform teams.

Key areas of focus include: Real-time sports insights & personalisation Computer vision & multimodal AI Live event detection & metadata generation Low-latency ML inference systems End-to-end MLOps & production ML Scalable cloud-native AI platforms

What they’re looking for: Strong experience leading ML engineering initiatives in sports, media, streaming, or real-time data environments Deep understanding of sports data and analytics Advanced Python skills with frameworks such as PyTorch or TensorFlow Proven experience in productionising ML systems at scale Strong knowledge of streaming architectures and low-latency systems Technical leadership and mentoring experience Ability to communicate effectively with technical and non-technical stakeholders

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The environment is fast-moving, highly collaborative, and focused on building genuinely innovative consumer-facing AI products.

If you’d be interested in learning more, feel free to message me directly.

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Location

London, England, United Kingdom

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