8 of 8 Remote/Hybrid Feature Engineering Jobs in London

modern cloud technologies, largescale data systems and cuttingedge tools to support predictive analytics, machine learning initiatives and enterprise reporting. If you're excited by engineering challenge, modern data platforms and solving realworld problems, you'll be a great fit. This is a hybrid role. You will be expected … sessions and department days. Please click here to download the Job description for this role. About you You're an experienced and adaptable data engineering professional who enjoys creating welldesigned, efficient and reliable data solutions. You're comfortable working with complex systems, experimenting with new tools and collaborating with ...

things that go into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms. … Build, train, and evaluate machine learning models using Python 📊 Work with large, complex datasets to support AI-driven products and insights 🧠 Assist with feature engineering, model experimentation, and performance optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using ...

skills, and a results-driven mindset Role responsibilities: Build, tune, and maintain predictive and ML models using AWS SageMaker Analyse large datasets and perform feature engineering to improve model performance Run experiments, test hypotheses, and optimise models for accuracy and value Monitor model performance and manage retraining over ...

optimisation project. You will design and implement predictive and prescriptive models for Maintenance, Repair, Overhaul AI Solutions. Performing exploratory data analysis and feature engineering. Collaborate with Data Engineers to ensure data readiness for modelling. Communicate findings and recommendations to business stakeholders. Continuously improve models based on feedback and operational ...

data interchange methods. - Knowledge of database environments (e.g., MS SQL, Dataverse, OneLake). - Experience working with or supporting machine learning models, including data preparation, feature engineering and testing. - Understanding of cloud services such as Azure Functions, Logic Apps, Azure AI Foundry or similar. - Strong coding skills, ideally ...

heart of its strategy, investing heavily in both classic ML and next-generation AI capabilities.This is a company that blends modern product engineering with a fast-moving, high-ownership culture. Their environment encourages experimentation, cross-functional collaboration, and the freedom to shape what “great” looks like in machine learning … modelling infrastructure.This is a hybrid hands-on/leadership role, ideal for someone who thrives at the intersection of applied research, platform integration, and engineering-minded data science.What You’ll Be DoingBuild and deploy a wide variety of models spanning classification, regression, propensity scoring, and LLM-based use casesSpearhead ...

Python, R, SQL, Excel or Power BI. - A good understanding of statistical methods and an interest in machine learning techniques such as regression, feature engineering or natural language processing. - The ability to communicate analytical concepts clearly to nontechnical colleagues. - A collaborative mindset and confidence working with stakeholders across ...

experience with recommendations, ranking, personalisation or decisioning systems (e.g. targeting, dynamic content, martech). Strong technical fluency, including an understanding of data pipelines, feature engineering and the ML model lifecycle. Familiarity with common data science techniques such as segmentation, propensity modelling, collaborative filtering, ranking models and bandits ...