8 Feature Engineering Jobs in London

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 »

in the modern day audit. You’ll get to work on technical assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you’ll develop the technical, business and soft … Tableau) Understanding of common data quality issues and they effect they have on machine learning models; Data cleansing and manipulation for machine learning (e.g. feature engineering); Robotics experience eg UI Path; Experience and be able to demonstrate finance/accounting understanding; Experience with financial/general ledger data more »

in the modern day audit. You’ll get to work on technical assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you’ll develop the technical, business and soft … Tableau) Understanding of common data quality issues and they effect they have on machine learning models; Data cleansing and manipulation for machine learning (e.g. feature engineering); Robotics experience eg UI Path; Experience and be able to demonstrate finance/accounting understanding; Experience with financial/general ledger data 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 »

such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models … Excellent communication, collaboration, and problem-solving skills Desirable: Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Additional Information Location: This role can be delivered in a hybrid nature from one of these offices Belfast, Birmingham, Manchester, Edinburgh, London or Newcastle upon Tyne. At more »

reliability of our AI-driven applications. Key Responsibilities: Design, implement, and optimize ML workflows and pipelines on Google Cloud Platform (GCP), including data ingestion, feature engineering, model training, evaluation, and deployment. Collaborate with data scientists, machine learning engineers, and software developers to streamline ML model development and deployment … infrastructure. Implement version control, testing, and CI/CD pipelines for ML models and code. Requirements: Bachelor's degree or higher in Computer Science, Engineering, or related field. Proven experience as an ML Ops Engineer or similar role, with hands-on experience deploying and managing ML workflows in cloud 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 »

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 »