1 to 25 of 28 Permanent Feature Engineering Jobs in the UK

Can we consistently extract sentiments from free text tenant responses to support the measurement, reporting and directed improvement of tenant satisfaction Working with data engineering to determine how we best represent network data within a graph database? What features can we detect and model from this? For example, in … swathe of our interesting problems catalogue. Of course this includes an excellent familiarity with the data science process: experiment/hypothesis formation, data selection, feature engineering, model selection, sampling/cross validation, hyperparameter tuning, model performance metrics, effective code and notebook documentation. Experience of working in a Cloud … Spark. Experience across common supervised, unsupervised, semi-supervised, reinforcement machine learning techniques What technical skills are required Accomplished Python coder. Data wrangling and data engineering excellence using primarily Python and SQL across structured, semi-structured and unstructured data. Ability to use dimension reduction techniques (PCA, encoders etc.) Excellent familiarity more »

software engineers, and domain experts, to understand requirements, gather data, and define project goals. Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering to extract relevant information for model training.Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.Train … TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with data preprocessing, feature engineering, and data visualization techniques.Proficiency in working with large-scale datasets, SQL and NoSQL databases, and big data processing frameworks (e.g., Hadoop, Spark … .Familiarity with software engineering best practices, including version control, testing, and code review.Strong mathematical and statistical skills, with the ability to apply statistical methods and evaluate model performance. Excellent problem-solving and analytical thinking, with the ability to understand complex business problems and develop innovative solutions.Effective communication skills to more »

software engineers, and domain experts, to understand requirements, gather data, and define project goals. Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering to extract relevant information for model training.Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.Train … TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with data preprocessing, feature engineering, and data visualization techniques.Proficiency in working with large-scale datasets, SQL and NoSQL databases, and big data processing frameworks (e.g., Hadoop, Spark … .Familiarity with software engineering best practices, including version control, testing, and code review.Strong mathematical and statistical skills, with the ability to apply statistical methods and evaluate model performance. Excellent problem-solving and analytical thinking, with the ability to understand complex business problems and develop innovative solutions.Effective communication skills to more »

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 »

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 »

to integrate AI solutions into existing products and services, including how we describe our capabilities to our customers. Conduct data analysis, pre-processing and feature engineering to extract valuable insights from large datasets improving model performance Stay updated on the latest AI and machine learning advancements, research papers … vision, GenAI and NLPs Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics Familiarity with data pre-processing, feature engineering and model evaluation techniques essential for machine learning projects Proficiency in programming languages commonly used in AI, such as Python, C++ and more »

to integrate AI solutions into existing products and services, including how we describe our capabilities to our customers. Conduct data analysis, pre-processing and feature engineering to extract valuable insights from large datasets improving model performance Stay updated on the latest AI and machine learning advancements, research papers … vision, GenAI and NLPs Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics Familiarity with data pre-processing, feature engineering and model evaluation techniques essential for machine learning projects Proficiency in programming languages commonly used in AI, such as Python, C++ and more »

insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model performance, iterate model improvements to enhance accuracy. Assist more »

insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model performance, iterate model improvements to enhance accuracy. Assist more »

insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model performance, iterate model improvements to enhance accuracy. Assist 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 … Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills 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 Version 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 … Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills 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 Version 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 … Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills 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 Version 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 … Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills 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 Version 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 … Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills 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 Version 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 … Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills 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 Version 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 »

probabilistic cyber risk model for the (re)insurance and financial services markets. Define and implement a globally consistent best practice process for data validation, feature selection, and modeling of catastrophe exposures. Lead best practices to design and extend an agile and flexible modeling framework. Developing and implementing methodologies to … analytics point of contact and collaborate directly with clients and cli facing teams Collaborating with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement Qualifications: MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines Mastery of deep learning non/parametric models … and interpretability 5+ years of experience in catastrophe risk Modeling, Applied Statistics, Probability theory, Monte Carlo methods for uncertainty quantification and propagation, GLMs applications, feature engineering, data visualization, and hypotheses testing True passion for leading, inspiring, mentoring, and attracting world-class colleagues Experience working with different types of 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 »

Software Engineering Permanent - Full Time London, GB, W1A 1AA Newcastle-upon-Tyne, GB, NE991RN Glasgow, GB, G511DA Salford, GB, M50 2QH BBC PUBLIC SERVICE B'CAST Job Closing Date: 02/05/2024 THE ROLE Package Description Band: C (Mid-level Software Engineers - £42,000 - £52,000 per … it is rewarding. Every tick of the clock, our content reaches millions of people globally, which is made possible by our top-notch Software Engineering team. They've been instrumental in pioneering innovative products and unique features that have firmly positioned us at the forefront of our industry. We … don't merely adapt to an ever-changing world - we set the pace. We are growing our engineering hub of excellence and looking for Mid-level and Senior Software Engineers with demonstrable backend experience to join our teams in London, Newcastle, Glasgow and Salford. We are looking for a more »

networks to support core clients Part of a team of 9 reporting to the Head of Data Science - working closely with a wider Data Engineering function Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising … ML models Preference for experience in retail/marketing but not required Tech across: Python, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Experience in feature engineering and third-party data Apply below 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 »

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 »

such as Python, R, or TensorFlow. Experience with AI frameworks and libraries, such as scikit-learn, spaCy, or PyTorch. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques in AI projects. Proficiency in integrating AI models with web applications using APIs or microservices architecture. Ability to more »

years of experience in Java and related framework. Core java and Spring framework hands on experience is must. Strong understanding of database design and feature engineering to support huge volume of data on premises and external cloud. Should have an experience as “Data and Cloud Architect”. Should more »