8 Permanent Feature Engineering Jobs in England

solution offerings. Provide expertise and guidance on AI best practices, contributing to the organization's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilizing Azure Data Lake and other data storage solutions. Develop robust testing and validation … Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure more »

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 »

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 »

new approach. Diversity is essential to great data teams; we want to hear from candidates from a range of backgrounds and experiences across data engineering, or those looking to refocus. Skills and experience we’re looking for: Proven track record productionising data pipelines at scale Hands-on experience or … understanding of: Python, Spark (e.g., PySpark, Spark tuning, Spark UI); Data Engineering technologies and principles (e.g., Data Lakes, Batch/Streaming); Cloud technologies and principles (e.g., Kubernetes, EMR, S3) Understanding of ML principles (e.g., feature engineering, training/testing, hyperparameters, deep learning, model management) Agile mindset and more »

Actions Implementing the machine learning life cycle: building models in a structured manner following best practice in the collection and analysis of modelling data, feature engineering, model fitting, selection, evaluation, deployment, and monitoring. Working independently and providing support and guidance to others. Receiving guidance from managers only in 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 »

projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular …/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested in this role and feel you fit some of the requirements, apply through the advert to find out more information. Senior Machine Learning Engineer more »

Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative … quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world data querying, manipulation, and feature engineering. Familiarity with cloud technologies. Strong attention to detail and ability to work independently with given direction. Efficient time and task management skills. Entrepreneurial … mindset and a can-do attitude. Passion for software development and engineering. Ability to collaborate in interdisciplinary teams of product, engineering, business, and technology experts. Desired skills Excellent communication skills with the ability to effectively engage with diverse stakeholders. Experience in a consumer-oriented, product-focused, or eCommerce business. more »