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 »
Glasgow, Lanarkshire, United Kingdom Hybrid / WFH Options
S Three
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 featureengineering 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, featureengineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable.Proficiency in handling large datasets, experience with Azure Data 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 »
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 »
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 »
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 »
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
Pentasia
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, featureengineering, 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 »
can provide clear examples of where your insights have driven positive business impact. You are experienced in data preparation, exploratory data analysis (EDA), and feature engineering. You can use machine learning tools and statistical techniques to produce solutions to business problems. You can work closely with non-technical business 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 »