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, featureengineering, 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 »
such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and featureengineering 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 »
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. featureengineering); Robotics experience eg UI Path; Experience and be able to demonstrate finance/accounting understanding; Experience with financial/general ledger data more »
Salford, England, United Kingdom Hybrid / WFH Options
BBC
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 … GitHub for version control and practice pair programming and Test-Driven Development where possible. Here is the list: • Experience of modern Python development software engineering best practices • Knowledge of software development principles, design patterns and best practices • Experience with AWS services such as SageMaker, S3, EC2, VPC, Lambda, Redshift … non-relational databases, data modelling and design principles. • Test Driven Development and testing practices. • Knowledge of infrastructure-as-code tools (CDK, CloudFormation) • Knowledge of featureengineering, data pre-processing, data pipelines • Familiarity with containerisation technologies (Docker) and orchestration (Kubernetes) • Familiarity with Machine Learning techniques and frameworks About the 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, featureengineering, and model evaluation techniques in AI projects. Proficiency in integrating AI models with web applications using APIs or microservices architecture. Ability to more »