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Sr. Machine Learning Engineer, AdTech

pulsepoint.com Logo

PulsePoint

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Location:
United Kingdom

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Category:
IT - Software Development

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Contract Type:
Employment contract, B2B, Contract work

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Salary:

Not provided

Job Description:

As a member of our Data Science Engineering team, the Sr. Machine Learning Engineer, AdTech will focus on optimizing real-time bidding strategies and auction mechanics to efficiently spend ad budgets and deliver against campaign targets.

Job Responsibility:

  • Analyzing and optimizing real-time bidding strategies and online auction mechanics
  • Developing new or improving existing models of event predictions
  • New feature engineering for multiple machine learning models: User embeddings and clustering
  • fraud detection, etc.
  • Cross-device user identification, cookieless mechanisms development
  • Mining different data sources
  • Supporting existing codebase for data integration and production support for our core models.

Requirements:

  • 5 years minimum of experience in machine learning/data science
  • Key Skills: Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks, Generalised Linear Regression, Multiclass Classification, Java, R
  • Advanced knowledge of Python using standard DS packages (numpy/pandas/scikit, etc.)
  • Being able to optimize and speed-up code.
  • 3+ years of RTB Auction or similar online technologies.
  • Algorithms and Data Structures (e.g., sorting, search tree, binary heap, trie
  • time & mem complexities of algorithms)
  • Probability and Statistics (e.g., hypothesis testing
  • Markov process and its stationary distributions, stochastic matrix and its properties
  • Bayesian inference)
  • ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 regularisation, Decision trees and their ensembles, collaborative filtering, Thompson sampling / MCMC, Neural Networks, etc.)

Additional Information:

Job Posted:
December 11, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:
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