76 to 100 of 388 Machine Learning Jobs in the North of England

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 ...

maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.AI & Advanced Analytics: Develop and implement AI/machine learning models where appropriate, supporting use cases such as prediction, classification, automation, and insight generation.Generative AI and Context Engineering: Develop generative AI enabled solutions … Python, SQL, and/or similar languagesExperience building data pipelines and working with structured and unstructured data.Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable. Experience with cloud data platforms, data warehouses, or big data technologies is an advantage. ...

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 ...

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 ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

data value chain. This is a senior role for someone who can set architectural direction, advise senior stakeholders and lead delivery teams, while integrating machine learning, Generative AI and Large Language Models into scalable, secure and sustainable solutions.This is a permanent within our Technology Solutions function. At Credera … data value chain- Experience designing scalable platform components spanning batch and real-time/streaming processing across microservices- and API-driven architectures- Experience integrating machine learning, Generative AI and foundation models into enterprise solutions, including agentic AI approaches- Experience implementing robust data management, security and governance for public ...

/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 ...

/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 ...

delivery of secure, scalable and resilient AWS environments.· AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.· AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services. … management, observability and operational readiness.· Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.· Helping clients design and deliver AI-enabled solutions on AWS using services such ...

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 ...

will:Design, build and maintain scalable data pipelines and data platformsDevelop analytics and AI-enabled solutions that support business decision-makingCreate and implement machine learning and generative AI solutionsIntegrate data from multiple sources while ensuring data quality and reliabilityWork closely with analysts, product teams and stakeholders to translate … Engineer, Data Developer or similarStrong programming skills in Python and SQLExperience building data pipelines and working with both structured and unstructured dataKnowledge of AI, machine learning or generative AI technologiesExposure to frameworks such as TensorFlow, PyTorch, LangChain or similarExperience working with cloud based data platforms and modern data ...

Engineer to join its expanding technology team. This is a great opportunity for a strong software engineer with commercial experience of AI, machine learning or generative AI to work on projects that are already being used across a large organisation.The successful candidate will work across the full development … security, monitoring and responsible useSkills:Strong commercial software development experience, ideally with C#/.NET and/or Python Hands-on experience with AI, machine learning or generative AI technologiesExperience working with Azure and cloud-based technologiesKnowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic Kernel ...

including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

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. ...

patterns and standards, ensuring solutions are scalable, reusable, secure, maintainable and cost-effective. Develop the platform and data architecture required to support AI and machine learning use cases, ensuring high-quality, accessible and appropriately governed data is available for AI solutions. Enable the development of reusable data products … modern software and data engineering practices including Git, CI/CD, automated testing, monitoring and deployment. Experience designing platforms that support analytics, data science, machine learning or AI applications. A strong understanding of data governance, data quality, security and data management principles. The ability to translate business requirements ...

hackajob is partnering directly with BNY Mellon to hire for this role. Vice President, AI/Machine Learning Data Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart ...

Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include: Building and deploying machine learning models across customer use cases Delivering projects focused on customer segmentation, lifetime value, and forecasting Supporting targeted marketing activity, including campaigns … impact Your Skills & Experience Strong commercial experience in Data Science, delivering end-to-end projects Proficiency in Python, with solid SQL skills Experience applying machine learning and statistical techniques to business problems Exposure to deploying models into production environments Understanding of cloud platforms such as GCP or Azure ...

customer loyalty programme. The Role You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions. Build and deploy models that support customer and commercial decision making Work on use cases such as customer segmentation, lifetime value … experience working with large datasets End to end experience delivering Data Science solutions from problem definition through to deployment Experience building and validating machine learning models Ability to communicate insights clearly to non technical audiences A practical, business focused approach to problem solving What They Offer Hybrid working ...

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 ...

financial and legal supportSavings and discounts, including digital gift card discounts, online cashback, in-store and online coupons and lifestyle offersCareer progression and learning and development opportunities A company who cares about our communities; the environment and being a better business! Click here to read about The Greggs PledgeColleague … taking the business from AI experimentation to controlled, scalable and sustainable delivery, with agentic AI at the heart of the opportunityOwn and deliver the machine learning roadmap, business case and operating model for AI, securing Operating Board investment to deliver meaningful business outcomesIdentify, prioritise and scale AI opportunities ...

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 ...

looking for a Chemist with genuine AI capability to steer that embedding, and lead a transformation. Not a chemist with a passing machine learning interest, and not a data scientist with a chemistry overlay. We’re looking for that rare combination of both. What We're Looking … domain skills in two areas : Your CV shows you to be highly capable in both Chemistry (organic/inorganic) and AI (LLM’s/ML frameworks/AI-enabled data analysis for technical R&D). You’d struggle to let either go. Curious and adaptable : You have genuine curiosity ...

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 ...