1 to 25 of 55 Machine Learning Jobs in Yorkshire

want practical exposure to AI-driven business solutions. This expert-led programme will help you understand how organisations evaluate, test, and improve AI/ML systems through AI assurance, data quality analysis, model risk evaluation, and real-world case studies. What You'll Learn ✔ AI & Machine Learning Fundamentals … reliability perspective ✅ Design AI testing and assurance strategies ✅ Identify situations where AI recommendations can or cannot be trusted ✅ Complete a real-world AI/ML case study and create an interview-ready portfolio project Who Should Apply? Recent graduates in Computer Science, Data Science, AI, Machine Learning ...

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 ...

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 ...

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 ...

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 ...

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 ...

data science can enhance decision-making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you'll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You'll also: Lead, coach and develop a team of Data … professional growth Plan and deliver data science initiatives using Agile ways of working, including sprint planning and progress reporting Develop, deploy and monitor machine learning models and analytical solutions in a production environment Communicate complex analytical findings clearly and confidently to both technical and non-technical stakeholders Identify ...

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 ...

range of cross‐Bank communities on cloud, data science tools and AI. Role Requirements – Minimum criteria Advanced technical expertise in data science, machine learning or data engineering, including experience with Python and/or R. Strong understanding of cloud‐based technologies and solutions (Azure and Databricks preferred), DevOps … generative AI technologies including AI agents and their practical applications. Proven experience leading analytical projects that leverage large and complex datasets, applying data science, machine learning and AI techniques to derive actionable insights and support policy. Experience delivering business change and production‐ready pipelines through new data ...

staff. 5. Lead and deliver FSSRs Data & AI strategy as part of the broader DGFS agenda Role Requirements Advanced technical expertise in data science, machine learning or data engineering, including experience with Python and/or R. Strong understanding of cloud-based technologies and solutions (Azure and Databricks … generative AI technologies including AI agents and their practical applications. Proven experience leading analytical projects that leverage large and complex datasets, applying data science, machine learning and AI techniques to derive actionable insights and support policy. Experience delivering business change and production-ready pipelines through new data ...

with our company values; ownership, collaboration, integrity, diversity & inclusion, and curiosity & adaptability to deliver productised solutions at pace Main Responsibilities Technical Application & Innovation Apply machine learning methods, knowledge-based expert systems, large language models, and cheminformatics techniques to drive innovation across Lhasa’s portfolio. Enhance automation processes … teams (e.g., software development, science, application science) to ensure alignment and knowledge-sharing. Communicate complex concepts and findings to non-expert audiences effectively. Continuous Learning & Improvement Stay updated with the latest research and advancements in AI and cheminformatics. Demonstrate evidence of self-learning and growth in new techniques. ...

platforms including Azure , AWS or Google Cloud . Experience designing large-scale distributed architectures using APIs, Microservices and modern integration patterns. Strong knowledge of Machine Learning, MLOps, DevOps and AI delivery practices. Experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages). Knowledge of Enterprise Architecture … innovation with the ability to balance technical excellence against commercial delivery. Technical Experience You'll ideally have experience across a combination of: Generative AI Machine Learning Intelligent Automation Microsoft Power Platform Azure/AWS/Google Cloud APIs & Microservices SQL & NoSQL Databases DevOps & CI/CD MLOps Enterprise ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

ownership rather than being one of many data scientists in a large, siloed team. What You'll Be Doing Designing and building statistical and machine learning models that solve real commercial problems around pricing, loyalty and customer behaviour Writing efficient, well-tested SQL and Python to explore, clean … similar) to validate impact Requirements: Strong Python skills for data analysis and modelling, plus solid commercial experience with SQL Experience building statistical or machine learning models and working with data in a cloud environment (AWS, Azure, GCP or Snowflake) Exposure to FMCG or retail data i.e. sales, loyalty ...

Microsoft technologies, including 3-5 years' hands-on experience with the Microsoft Power Platform (Power Automate, Power Apps, and Power Pages) Strong understanding of Machine Learning, Generative AI, MLOps, DevOps, and the delivery of scalable AI solutions Knowledge of enterprise integration technologies including APIs, microservices, JSON, XML, messaging ...

with data warehousing and ETL processes. Knowledge of cloud data platforms such as Microsoft Azure, AWS, or Google Cloud. Familiarity with predictive analytics or machine learning would be advantageous. ...

related field. Experience building large-scale enterprise or SaaS platforms. Familiarity with serverless architectures and cloud-native development. Exposure to AI/ML integrations or event streaming platforms is a plus. Contributions to open-source projects or active participation in the Node.js community are desirable. ...

Business Intelligence platforms are secure, scalable, reliable, and aligned with business needs. Lead the Business Intelligence modernisation strategy, including cloud adoption, Artificial Intelligence (AI), machine learning, and intelligent automation initiatives. Define and communicate technology roadmaps, recommendations, and business cases for platform improvements. Act as a senior escalation point ...

least 3 years in a technical lead role delivering enterprise-grade process automation. AI Implementation Track Record: Proven experience utilising existing AI/ML technologies to transform business processes and mitigate LLM-specific risks (e.g., prompt injection and data leakage). Leadership Interfacing: Demonstrated experience engaging with Senior Leadership ...

report progress and issues blocking progress. Working within a pod of Data Scientists under management of a Lead Data Scientist Execute the application of machine learning and statistical modelling tools suited to the identified initiative. You'll be skilled at storytelling, being able to explain the generated solution … Given the pace of change in new technologies and techniques, you'll show commitment to keeping your own knowledge up to date through self-learning, and be supported with opportunities to complete relevant courses, attend industry events, and obtain technical certifications. You'll also be given the opportunity ...

architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. Hybrid position in the City of London ...

supporting Product Managers and delivery teams. Desirable Experience Experience delivering cloud-based data solutions in AWS, Azure or Google Cloud. Exposure to AI, Machine Learning or advanced analytics products. Experience working within consultancy, government or highly regulated environments. What's on Offer Company pension scheme Generous healthcare package ...

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 ...

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 ...