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Harnham

Principal MLE - AdTech Scaleup (UK, Remote)

United Kingdom
£128k/yr
Posted about 21 hours ago
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Want to shape the future of AI-driven advertising at global scale? Looking for a role where you can set technical direction while staying hands-on? Interested in building machine learning systems that influence billions of decisions every day?

An established and profitable AdTech company is looking for a Principal Machine Learning Engineer to help lead the next phase of its machine learning evolution. With a global footprint across Europe, North America and Asia, the business uses AI to power highly targeted digital advertising, helping consumer brands acquire and re-engage users more effectively. Having achieved approximately 60% growth over the last two years, machine learning sits at the heart of both the product and commercial strategy. This is an opportunity to join a business where ML directly drives revenue and product performance.

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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

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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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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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As Principal Machine Learning Engineer, you will define technical direction across machine learning whilst remaining deeply involved in platform engineering and model development. The role offers significant influence across high-scale production systems, business strategy and the future roadmap of the ML function.

Key Responsibilities:

  • Define and drive the technical roadmap for Machine Learning systems and infrastructure
  • Develop and optimise recommendation, targeting, bidding and attribution models
  • Lead improvements across MLOps, model monitoring and automated retraining
  • Scale and enhance production-grade ML platforms and deployment pipelines
  • Partner with engineering leadership to align AI strategy with commercial priorities
  • Drive innovation across LTV modelling, churn prediction and audience optimisation
  • Mentor senior engineers and influence technical decision-making across the organisation

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Key Details:

  • Salary Range: £128,000 / €150,000
  • Working Model: Flexible remote working policy
  • Tech Stack: Python, PyTorch/TensorFlow, Scikit-Learn, MLflow/Weights & Biases, Spark/Flink, ONNX, Triton, TorchServe, Ray Serve
  • Visa Sponsorship: Not available.

Interested? Please apply below.

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Skills

Python
PyTorch
TensorFlow
Scikit-Learn
MLflow
Weights & Biases
Spark
Flink
ONNX
Triton
TorchServe
Ray Serve
MLOps
LTV Modelling
Churn Prediction
Audience Optimisation

Location

United Kingdom

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