3 of 3 Feature Engineering Jobs in Cambridge

systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning modelling, large-scale training, and production infrastructure — you'll take models from idea through to serving at scale, working in Spark, Python, and Java. … automation to move faster, raise the bar, and scale their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks — and can describe projects where you shipped real work ...

code in relevant programming languages (primarily Python, C++) to implement AI algorithms, data pipelines, and software componentsAssist with data collection, cleaning, pre-processing, and feature engineering to prepare datasets for model training and evaluationSupport the testing, validation, and performance evaluation of AI models, contributing to their robustness … progress and findings to your team and mentorQualificationsRequired:Bachelor's, Master's, (or equivalent) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field, obtained within the last 1–2 yearsSolid theoretical understanding of core AI/ML concepts such ...

models (not just consuming APIs) • A solid understanding of model evaluation and validation, overfitting and bias/variance trade-offs, and data quality and feature engineering • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building and maintaining ML pipelines in production • Familiarity with ...