11 of 11 Permanent Machine Learning Jobs in South Yorkshire

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 ...

this key role,you’lllead the engineering of AI and machine learning(ML)capabilities for the Economic Crime Hub, translating decision strategies into scalable, production-grade solutions We’lllook to you to own the end-to-end lifecycle of AI andMLmodels, from development and deployment through to monitoring … andMLsolutionsoperatereliablyandsafelywithin governed,compliant environments, while meeting business, risk, and regulatory requirements Whatyou'lldo AsaAI Engineering Lead,you'lllead the design, build, and deployment of ML models and AI systems into production environments.You'lltranslate decision strategies and analytical requirements into production-grade solutions, designing reusable pipelines and frameworks that support efficient ...

high-profile function and contribute to initiatives that enhance the efficiency, scalability, and effectiveness of the global workforce. The Opportunity Core Focus: Algorithm Design, Machine Learning/NLP, Statistical Rigor About the Role Once our 6 core datasets are unified, you will hold the keys to the mathematical … prediction drift, and safely surface model confidence scores to executive decision-makers. Required Technical Skills Experience: 24 years of experience as a Data Scientist, Machine Learning Engineer, or Quantitative Analyst. Exposure to recommendation algorithms, NLP, or People Analytics is a major plus. Python Mastery: Fluent in Python ...

high-profile function and contribute to initiatives that enhance the efficiency, scalability, and effectiveness of the global workforce. The Opportunity Core Focus: Algorithm Design, Machine Learning/NLP, Statistical Rigor About the Role Once our 6 core datasets are unified, you will hold the keys to the mathematical … prediction drift, and safely surface model confidence scores to executive decision-makers. Required Technical Skills Experience: 24 years of experience as a Data Scientist, Machine Learning Engineer, or Quantitative Analyst. Exposure to recommendation algorithms, NLP, or People Analytics is a major plus. Python Mastery: Fluent in Python ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

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 ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

NatWest Group in the United Kingdom is seeking an AI Engineering Lead to drive the design, build and deployment of production‐grade ML models for the Economic Crime Hub. You’ll translate decision strategies into scalable, compliant AI solutions that deliver real business value while meeting risk and regulatory requirements. ...

their work and how to do it well. Build and sustain an internal AI Community of Practice by curating content, facilitating peer learning, surfacing emerging patterns and keep the community connected to the external AI engineering landscape. Create inspirational content for engineers including reference implementations, code samples, tutorials … production and apply AI at scale Technical Proficiency in Python, Java and/or other programming languages and comfort across the modern AI/ML tooling ecosystem Desirable Experience working within financial services or another complex regulated environment where AI adoption requires careful governance alongside pace. Background in developer relations ...

.NET Developer, .NET 10.0, C# 14 - Digital Download Site – Sheffield (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...