12 of 12 Machine Learning Jobs in Kent

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

flows, connectors and agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production … about you... Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field. Previous experience in AI, data science, ML engineering or advanced analytics. hands-on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI-based ...

support its growth. As Analytics Manager within the Chief Data Office, you’ll oversee all analytics activities—business intelligence, reporting, advanced analytics, and machine learning—across regions and functions. You’ll connect business needs with data solutions, ensuring insights are accessible, reliable, and impactful. Leading a global team … finance. Proven success in delivering impactful global analytics programs and leading diverse analytics teams. Expertise in defining requirements and managing advanced analytics and ML models for structured data. Proficient in Power BI, SQL, Python, Azure, Databricks, and Dataiku, with hands‐on ETL/ELT experience. Strong understanding of ML lifecycle ...

Data Science, Engineering, Mathematics or a closely related discipline. At least 7 years' experience as a Business Analyst, ideally with direct involvement in AI, machine learning or advanced analytics projects. Strong experience in requirements elicitation, analysis, process mapping and documentation in complex, multi‐stakeholder environments. Proven experience working … project qualifications (e.g. BCS BA, IIBA CBAP/CCBA, Agile BA, PRINCE2, Scrum, PMI PBA). Training or certification in data analytics, AI or machine learning. Exposure to cloud‐based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau). Experience supporting change ...

Scientist to design, develop and deploy data science and AI solutions that deliver real commercial value and improve customer well‐being. You will own ML/AI models, monitor performance, data drift and latency, and ensure compliance with data privacy and AXA's Responsible AI principles. The role requires ...

analytics tools and customer feedback platforms. Demonstrated experience delivering end-to-end product lifecycle management. Preferred (Nice to Have) Experience with: Computer vision or machine learning products Automotive or fleet safety regulations Hardware device certification and testing International telematics markets Agile/Scrum certification (e.g., CSPO). Personal ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

compellingly to non-technical audiences, while educating and inspiring stakeholders on the transformative potential of AI and data science. Take full ownership of existing ML/AI models, ensuring robust and ongoing monitoring of performance, data drift, scoring latency, and continuous optimisation. Ensure full compliance with regulatory frameworks and data … equivalent in a highly numerical field such as data science, AI, mathematics, statistics, or computer science. A strong foundation in supervised, unsupervised, and deep learning methods, with a proven track record of applying these techniques to solve complex businessproblems, ideally within financial services or a regulated industry. Hands ...

Technology Manager Salary: £274.68 per day (Inside IR35) Location: Kent Job Type: Full-time, 3-month contract initially with potential for permanent role Hours of Work: 37.5 hours per week Join a dynamic educational environment ...

working across acquisition, retention, servicing and claims with a strong emphasis on responsible AI and regulatory compliance. You will apply supervised, unsupervised, and deep learning methods, deploy generative AI including LLMs, and collaborate with cross-functional teams in a hybrid work #J-18808-Ljbffr ...

.NET Developer - .NET 10.0, C# 14, Blazor, Azure - Tunbridge Wells (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

seeking an Analytics Manager within the Chief Data Office to lead global analytics programs, BI, reporting, and ML initiatives across regions. You will align data solutions with business needs, ensuring insights are accessible, reliable, and impactful. You will lead a team of data professionals, manage governance, promote self-service tools ...