5 of 5 Remote Feature Engineering Jobs in London

discover, experiment, develop and productionise ML and AI models at Compare the Market. You'll partner closely with product, engineering and machine learning engineering to take the most important use cases from problem framing and research through to robust, measurable value in production. Set technical direction for complex … high‐priority use cases within a domain using a range of paradigms and frameworks (e.g. supervised, unsupervised, reinforcement learning, foundation models); align with Product & Engineering to deliver outcomes to agreed timelines and quality standards. Modelling, Productionisation & Standards Apply and contribute to best practices for experimentation, modelling and measurement (including ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. … with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across ...

Flexible daily rate (inside IR35) Key Responsibilities Design and implement predictive and prescriptive models for MRO AI Solutions. Perform exploration data analysis and feature engineering. Collaborate with Data Engineers to ensure data readiness for modeling. Communicate findings and recommendations to business stakeholders. Continuously improving models based on feedback ...