14 of 14 Machine Learning Jobs in Cheshire

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 ...

Integration Engineer, Machine Learning, Hybrid, COR7508 Are you passionate about AI and excited by the opportunity to shape how it transforms real-world products? Join a forward-thinking team where you’ll champion AI adoption and help drive measurable business impact. The Role As an AI Integration Engineer … processes, designing and implementing solutions, and ensuring AI is embedded effectively across the organization. You’ll use your expertise with RAG techniques and machine learning to lead initiatives to integrate AI into existing workflows and help evolve the product offering with cutting‐edge capabilities. The Company Our client ...

combine deep technical expertise with strong communication and leadership skills. This is an opportunity to lead thinking, influence decisions, and bring advanced analytics, machine learning and AI into real world operations. If you enjoy solving complex problems, guiding others, and explaining technical concepts in a way that genuinely … you. The role Leading the discovery of opportunities where advanced analytics can deliver measurable value across the business. Designing, building and deploying statistical, machine learning and deep learning models that improve performance, efficiency and safety. Engineering and manipulating large, complex datasets using platforms such as Azure ...

department at internal, regional and other external NHS data and analytics forums. Share best practice across the department and with other NHS trusts, learning from others to improve local approaches. Keep abreast of national NHS data developments, policy changes, and best practice. Ensure that data quality issues are effectively … control, peer review, documentation, and change management. Knowledge of Microsoft Fabric including OneLake, Data Factory pipelines, Lakehouse/Warehouse architecture, and notebooks. Awareness of machine learning and advanced analytics capabilities within the Microsoft Azure/Fabric ecosystem. Knowledge of Azure data services and scalable data platform design principles. ...

improving data quality checks, validation, and monitoring Contributing to modern data lakehouse and warehousing architecture Working closely with analysts and data scientists to enable machine learning and advanced analytics Troubleshooting data issues and optimising performance across pipelines and datasets Supporting best practices, documentation, and continuous improvement across ...

supporting a cutting edge deep tech company in London that is building full stack photonic quantum systems designed to transform how organisations run machine learning, generative AI, and large scale optimisation workloads. Their technology is already deployed in multiple real world environments, and they re now entering ...

/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

including ingestion, lakehouse/warehouse, semantic models and analytics layers. Architect solutions using Azure and Microsoft Fabric, ensuring scalability and long-term maintainability. Integrate Machine Learning and AI capabilities into the wider data ecosystem to support predictive and generative use cases. Provide Technical Leadership & Delivery Assurance Produce roadmaps … experience architecting solutions on Azure and/or Microsoft Fabric (e.g., Lakehouse, Data Warehouse, Synapse, Data Factory, OneLake). Solid understanding of AI/ML solution patterns, including integration with modern data platforms. Proven ability to run workshops, lead design engagements and simplify complex concepts for diverse audiences. Strong consulting ...

innovation Manage the Innovation Portfolio Oversee a pipeline of initiatives from early-stage concepts through to scaled delivery Drive Digital & Data Transformation Leverage AI, machine learning, and advanced analytics to improve decision-making and operations Embed a Culture of Innovation Champion experimentation, continuous improvement, and cross-functional collaboration ...

architecture. The role involves strategic development and collaboration with stakeholders to ensure data accuracy and accessibility. Key qualifications include strong expertise in AI/ML architecture, enterprise governance, and effective stakeholder leadership. Candidates should have experience in data strategy and emerging technologies pertinent to financial services. #J-18808-Ljbffr ...

implementing them across the organization. The ideal candidate will have proven experience in AI integration, strong understanding of RAG techniques, and knowledge of machine learning frameworks. This hybrid position allows three days a week onsite near Warrington. #J-18808-Ljbffr ...

Align across the enterprise. Develop others. Role Responsibilities & Qualifications To be successful as an AI Enterprise Architect, you should have experience with: AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

Overview Automation Technologies and AI/ML-Driven Platforms and Analytics Tools; in the realm of automation technologies and AI/ML-driven observability platforms and analytics tools, the following are essential: Terraform Itential NetDevOps Splunk Python React JS Django Database Technologies Proficiency with database technologies is crucial, including: MySQL ...