8 Feature Engineering Jobs in the UK excluding London

positioned to help shape the future of streaming. Continued success relies on building customer relationships with Roku that delight and engages them. The Marketing Engineering team at Roku is focused on building the right products and services that help us provide the right communication to the right customers at … ll be doing ML-Infrastructure: Help build a first-class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality Data Analysis/Feature Engineering: Apply your more »

following areas: Statistics, Machine Learning, Deep Learning & AI You will have experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What’s equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You more »

solutions that improve content onboarding, search, recommendations, and voice interactions. Design, develop, and deploy machine learning models and systems to address business challenges, including feature engineering, model training, and performance evaluation. We're Excited If You Have: 5+ years of experience applying Machine Learning to concrete problems at more »

areas: Statistics, Machine Learning, Deep Learning & AI You will have significant experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What’s equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You more »

extract, transform, load) scripts and code to ensure the ETL process performs optimally. Define and document the pre processing steps, data wrangling techniques and feature engineering undertaken on a given dataset. Design and maintain robust processes to ensure NHSCFA and external stakeholder datasets are separated and securely stored … with system and domain experts to obtain understanding of the data. Please refer to Job Description Person Specification ps Essential oExcellent understanding of data engineering processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine … learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python, R, etc. oA strong track record of achievement in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience more »

extract, transform, load) scripts and code to ensure the ETL process performs optimally. Define and document the pre processing steps, data wrangling techniques and feature engineering undertaken on a given dataset. Design and maintain robust processes to ensure NHSCFA and external stakeholder datasets are separated and securely stored … with system and domain experts to obtain understanding of the data. Please refer to Job Description Person Specification ps Essential oExcellent understanding of data engineering processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine … learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python, R, etc. oA strong track record of achievement in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience more »

leverage technology towards future goals. Your day-to-day responsibilities will include: Leading the UK Data Science Team (8 Direct reports) Collaborate with the engineering and product practices. Team management, including recruitment, onboarding, and developing top talent, ensuring that the team has the skills, resources and support needed to … and validation processes to validate model performance and mitigate risks. Leading the end-to-end process of model development, including data collection pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning more »

doing: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions Building scalable machine learning pipelines and combining feature engineering with optimisation methods to improve the data product performance Exploring ways of using new data science tools and techniques to address business more »