1 to 5 of 5 Feature Engineering Jobs with Hybrid or WFH Options

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 »

Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling, and … query resolution. Preferred Skills: Advanced prompt engineering techniques, including chain-of-thought, tree-of-thought, and active prompting. Experience in database management (SQL or No-SQL) for effective data handling. Familiarity with Docker for deploying scalable applications. more »

Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling, and … query resolution. Preferred Skills: Advanced prompt engineering techniques, including chain-of-thought, tree-of-thought, and active prompting. Experience in database management (SQL or No-SQL) for effective data handling. Familiarity with Docker for deploying scalable applications. more »

Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling, and … query resolution. Preferred Skills: Advanced prompt engineering techniques, including chain-of-thought, tree-of-thought, and active prompting. Experience in database management (SQL or No-SQL) for effective data handling. Familiarity with Docker for deploying scalable applications. more »

Ability to analyse and manipulate large datasets Solid understanding of digital signal processing, specifically related to audio and music. Knowledge of data preprocessing and feature engineering techniques Experience with machine learning frameworks and libraries Ability to work independently and collaboratively in a remote setting A good working knowledge more »