1 to 25 of 111 Machine Learning Jobs in Yorkshire

Architecture, and Portfolio Management. The role will sit within the Data service vertical, led by a Head of Data Engineering, and reports into the ML Engineering Manager. Machine Learning Engineer We are looking for an experienced machine learning engineer to join a newly formed ML Engineering … will be key to delivering robust, high‐impact machine learning solutions. You’ll be expected to understand and implement methodologies from the ML OPs life cycle. You’ll also be expected to work in an Agile environment, contributing to iterative development cycles, collaborating across disciplines, and adapting quickly ...

learning roles focus on building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models. It now needs the engineering capability to deploy … models. Deploy models in real-time and batch environments. Develop CI/CD pipelines that automate model testing and deployment. Help automate the full ML lifecycle, from dataset creation and training through to evaluation, deployment and monitoring. Build and improve the company's model registry. Monitor production ML services ...

human-in-the-loop controls. Evaluation: Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship. ML infrastructure: Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML. What you’ll be responsible for Owning the development and continuous improvement … state management. Experience evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing. Experience with cloud ML platforms - ideally Azure ML, Functions and Blob Storage - or the willingness to transfer your knowledge to Azure. Experience with Git-based workflows, CI/ ...

Scientist with strong Machine Learning, Google Cloud Platform (GCP), Python and data engineering expertise to support the optimisation of fraud models and ML infrastructure. Contract information Job title: Data Scientist Location: 3 days in Sheffield and 2 days remote Contract type: Inside IR35 Key Responsibilities Assess and optimise … data science teams. Analyse and optimise GCP compute, storage and networking, balancing cost, performance and reliability. Implement and improve monitoring and observability across ML workloads, including cost, performance and reliability metrics. Support the design, validation and deployment of fraud and machine learning models end-to-end. Strong commercial ...

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 ...

have the right data in the right place, providing access to insight, and delivering advanced capability to answer strategic questions using Data Science and Machine Learning. Utilising our advanced Google Cloud data platform, the Data Scientist explores complex datasets across our operations from field to fork to build predictive … decision-making. Accountabilities Customer Build trusted relationships with internal stakeholders to understand operational context and business priorities. Solve complex business problems using applied mathematics, machine learning, and statistical modelling. Own data science deliverables over the full life of data products, providing clear updates and presenting complex statistical outputs ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

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 ...

fastest-moving areas of modern technology. You’ll play a key role in delivering robust, scalable core services and infrastructure that support Machine Learning and Agentic AI solutions across the business.You’ll be joining a newly formed team of engineers focused on building, maintaining, and evolving Evoke … next-generation AI platforms, including our Machine Learning and Agentic AI cores.As part of the wider Cloud team, you’ll collaborate with a multi-disciplinary group of engineers, working primarily with AWS technologies and third-party integrations to deliver an AI platform designed for an ambitious and innovative ...

from you. Our AI Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning, the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive … projects. Provide technical guidance and support to junior analysts. Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop ...

data products that enable objective decision-making with speed and confidence. Promote and champion a data-driven culture by applying advanced analytics, statistics, machine learning, AI, and emerging technologies to solve business problems, improve performance and help the organisation move from reactive reporting to proactive and predictive decision … quality, governance, accessibility and trust. Support the design and development of data pipelines, APIs, data integrations and reusable data assets that enable advanced analytics, machine learning and self-service data capabilities within the Microsoft Fabric ecosystem. Create and maintain clear, high-quality documentation for models, methodologies, datasets ...

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 ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

maintain robust logical and physical data models within GCP BigQuery. Develop scalable data structures and data integration approaches that can support future AI, machine learning, and advanced analytics capabilities. Ensure data quality, consistency, governance, and integrity across multiple enterprise data sources. Support data mapping, transformation, and optimisation activities … querying, transforming, and optimising data. Deep knowledge of data architecture and data management practices within cloud environments. Additional Skills & Qualifications experience supporting AI, machine learning, or advanced analytics initiatives with well-structured datasets. Knowledge of operational resilience, risk, regulatory, or financial services environments. Understanding of cloud data architecture ...

Paid Media Leadership Team to drive excitement, adoption, and integration as we run full-steam toward being an industry leader in AI, automation, machine learning, and holistic search strategies Drive full-funnel Paid Social strategy through an integrated approach, leveraging deep expertise across a variety of paid social … have managed Paid Social campaigns across a wide range of industries, engines, and management platforms, and you know when and where automation and machine learning can get your team's time back You have experience in emerging channels like TikTok and Reddit, and in pitching full-funnel strategies ...

Hiscox is seeking an experienced Machine Learning Engineer to join a newly formed ML Engineering team. You will build and maintain infrastructure to deploy data‐driven models, and develop Python APIs to serve ML models in production within Azure, AWS, or GCP. You’ll collaborate with Data Scientists … Platform Engineers and Developers to ensure scalable, reliable services. The role focuses on production‐grade ML pipelines, model registry improvements, and CI/CD for data science workloads in an #J-18808-Ljbffr ...

into our Lakehouse on Microsoft Fabric, process it through a medallion architecture, and deliver modelled, trusted data that’s ready for reporting, AI and machine learning. You’ll sit in our Data team reporting to the Head of Data, working with our Data Analysts on modelling, and with … controls. Keeping technical documentation, data lineage and platform standards in good order. Helping shape where the platform goes next, including future analytics, AI and machine learning capability. Candidate Essential Experience, Qualifications and Skills Commercial data engineering experience (4+ years) SQL (4+ years) Python and PySpark (3+ years) Microsoft ...

Proven data engineering experience, with the ability to design, implement and maintain robust data pipelines. Hands-on experience working with AI, Generative AI or machine learning solutions in a practical, production-oriented context. Practical prompt engineering experience, including designing, testing and optimising prompts for large language models. experience ...

Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job DescriptionThis … InformationBenefits include: Hybrid working model with some flexible working25 days' holidayPrivate Medical Health care via VitalityPension contribution, Life AssuranceProfessional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access ...

metadata management and data quality principles. Experience working in Agile environments. Excellent stakeholder management and communication skills. Event-driven architecture and integration solutions. AI, machine learning or advanced analytics projects. Experience within large and complex organisations. Microsoft Azure or Data Engineering certifications. What's on Offer? Opportunity ...