6 Feature Engineering Jobs in the UK excluding London

key part of your role. About us SThree 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 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 »

Oxford, you will collaborate closely with our founders to drive the development of our platform. As a Lead Scientist, you will spearhead the design, engineering, and implementation of our inference engine, which underpins our diagnostic capabilities. Your role will involve managing tasks, allocating resources, and leading a team of … Engineers to ensure timely delivery of engineering milestones. Key Responsibilities: Lead the development of the inference engine leveraging digital signal processing techniques for feature engineering of two-dimensional time series data. Design, implement, and optimize statistical, deep learning, and ensemble models for microbial identification and antimicrobial profiling. … compliance in product development. Requirements: Degree in computer science, mathematics, physics, or related fields, with 3+ years of relevant work experience. Strong expertise in feature engineering of two-dimensional time series data and digital signal processing. Proficiency in statistical modeling, deep learning, and ensemble methods. Experience deploying machine 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 »

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 »