1 to 25 of 106 Permanent 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 ...

Machine Learning Engineer DATA & MACHINE LEARNING FINANCIAL SERVICES Most machine … 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 click apply for full job details ...

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 ...

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 ...

hear 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 deployable solutionsCollect, analyze ...

Data Scientist | Financial Services York (2 days per week onsite) Salary Up to £70,000 + 15% Bonus + Benefits Build ML solutions that actually make it into production. We're supporting a major financial services organisation as they build a brand-new enterprise Data Platform and MLOps capability . … testing and evaluating machine learning models Applying techniques such as regression, classification, clustering and forecasting Writing clean, maintainable Python code Working alongside ML Engineers to deploy models into production Monitoring model performance and identifying opportunities for improvement Presenting findings to both technical and non-technical audiences Helping establish ...

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 ...

engineering in collaboration with senior technical customers and cross-functional teams.The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure-by-design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation … itWhat we’re looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment.Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow ...

raised through support ticketsBuild deep product knowledge across Anaplan’s platform and tools (including Grafana)Act as an AI and Machine Learning (ML) subject matter expertCollaborate with other teams to guide customers through complex technical solutionsRaise and track product bugs when you identify themCommunicate investigation progress and outcomes … leading smaller team projects and mentoring colleaguesExperience creating technical documentation and delivering trainingPreferred Skills:Understanding of AI security threats and mitigationExpertise in AI/ML cloud services e.g. Azure OpenAI, AWS Bedrock or Google Cloud AI.Knowledge of core ML concepts e.g. anomaly detectionFamiliarity with technical support environments, SaaS platforms ...

refactoring, and performance optimization to contribute to advanced AI research and evaluation projects . You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with … Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows. Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization . Develop reproducible environments ...

/ELT tooling, with a focus on performance, data quality, and reliability, incorporating virtualization.Front end user tooling such as reporting and dashboarding, advanced analytics, machine learning and A.I.AWS and Azure Cloud Native products e.g. Glue, Dataflow, DatabricksDemonstrable leadership experience, including leading engineers or technical teams and guiding delivery …/ELT tooling, with a focus on performance, data quality, and reliability, incorporating virtualization.Front end user tooling such as reporting and dashboarding, advanced analytics, machine learning and A.I.AWS and Azure Cloud Native products e.g. Glue, Dataflow, DatabricksInterviews will take place via video link. Sift and interview dates ...

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 ...

success and health of our games.We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications.The Data Design function within Analytics partners closely with game development, analytics engineering, and data science teams to design telemetry that is reliable … documentation that can be implemented by development teams.Review proposed telemetry designs for completeness, quality, consistency, and suitability for downstream modelling, reporting, experimentation, and machine learning use cases.Collaborate with analytics engineers to ensure telemetry is structured to reduce transformation complexity and improve reliability of curated data products.Support the Data ...

success and health of our games. We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications. The Data Design function within Analytics partners closely with game development, analytics engineering, and data science teams to design telemetry that … documentation that can be implemented by development teams. Review proposed telemetry designs for completeness, quality, consistency, and suitability for downstream modelling, reporting, experimentation, and machine learning use cases. Collaborate with analytics engineers to ensure telemetry is structured to reduce transformation complexity and improve reliability of curated data products. ...

experience of Microsoft Azure or Amazon AWS may also be beneficial. Through our data scientists, we are exploring and implementing artificial intelligence and machine learning solutions. An enthusiasm for the field of data science, and a desire to collaborate, and support these projects will also be beneficial. Please … experience of Microsoft Azure or Amazon AWS may also be beneficial. Through our data scientists, we are exploring and implementing artificial intelligence and machine learning solutions. An enthusiasm for the field of data science, and a desire to collaborate, and support these projects will also be beneficial. Please ...

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 ...

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...