Senior Machine Learning Engineer (Contract)

DigiTech Resourcing European Union
Remote
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AI Summary

Design and optimize machine learning pipelines and production models for a globally recognized tech brand. Collaborate with a modeling and production-focused ML team to deliver ranking improvements and new carousel launches. Utilize feature stores, TensorFlow models, and DBT for ETL workflows.

Key Highlights
Maintain and optimize ML pipelines and production models
Add new features via the feature store and tune model parameters offline/online
Run experiments, analyses, and A/B tests on ranking algorithms
Support launch and optimization of a new reinforcement learning model
Deliver ranking improvements and new carousel launches
Technical Skills Required
Python TensorFlow DBT Feature Stores Ranking/Recommendation Systems
Benefits & Perks
£650pd (Inside iR35 if UK based)
Fully remote work

Job Description


Senior Machine Learning Engineer (Contract)

Initial Term: Until end of May 2026

Rate: £650pd (Inside iR35 if UK based)

Location: Fully remote


Digitech are partnered with a globally recognised tech brand, HQ in London, with unicorn status, who are looking for a Senior ML Engineer with strong product environment experience to support ranking and recommendation systems. You’ll work across carousel ranking, reinforcement learning model launches, and 4–5 production ML models. Most core builds are complete—you’ll focus on experimentation, optimisation, and model/pipeline improvements.


Responsibilities:

  • Maintain and optimise ML pipelines and production models.
  • Add new features via the feature store and tune model parameters offline/online.
  • Run experiments, analyses, and A/B tests on ranking algorithms.
  • Support launch and optimisation of a new reinforcement learning model.
  • Deliver ranking improvements and new carousel launches.
  • Collaborate across modelling and production-focused ML team.


Required Experience:

  • Strong ML engineering background in product-led environments.
  • Experience with feature stores and TensorFlow models.
  • DBT experience for ETL workflows.
  • Hands-on with ranking/recommendation systems.
  • Strong Python and ML pipeline ownership experience.
  • Familiar with online/offline experimentation


This is an URGENT role so please apply ASAP


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