1 to 3 of 3 Permanent Feature Engineering Jobs in the UK excluding London with Remote Work Options

our products and services will be key.About usSThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled … solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data LakeDevelop robust testing and validation processes to ensure the accuracy and … solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirableSolid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable.Proficiency in handling large datasets, experience with Azure Data 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 »

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 »