26 to 50 of 55 Data Quality Jobs in Yorkshire

Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company? We’re on a mission to become the OpenAI of the spicy content industry, building a full-spectrum ecosystem … and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. Role Overview We are looking for a Senior DevOps Specialist with a strong python and data engineering background to support our R&D and tech teams by designing, building, and maintaining robust infrastructure and data pipelines across AWS and GCP. You will be instrumental … and proactively resolve infrastructure issues. Manage CI/CD pipelines for rapid, reliable deployment of services and models. Ensure high availability, disaster recovery, and robust security practices across environments. Data Engineering Build and maintain data processing pipelines for model training, experimentation, and analytics. Work closely with machine learning engineers and researchers to understand data requirements and workflows. More ❯

Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company? We’re on a mission to become the OpenAI of the spicy content industry, building a full-spectrum ecosystem … and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. Role Overview We are looking for a Senior DevOps Specialist with a strong python and data engineering background to support our R&D and tech teams by designing, building, and maintaining robust infrastructure and data pipelines across AWS and GCP. You will be instrumental … and proactively resolve infrastructure issues. Manage CI/CD pipelines for rapid, reliable deployment of services and models. Ensure high availability, disaster recovery, and robust security practices across environments. Data Engineering Build and maintain data processing pipelines for model training, experimentation, and analytics. Work closely with machine learning engineers and researchers to understand data requirements and workflows. More ❯

Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company? We’re on a mission to become the OpenAI of the spicy content industry, building a full-spectrum ecosystem … and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. Role Overview We are looking for a Senior DevOps Specialist with a strong python and data engineering background to support our R&D and tech teams by designing, building, and maintaining robust infrastructure and data pipelines across AWS and GCP. You will be instrumental … and proactively resolve infrastructure issues. Manage CI/CD pipelines for rapid, reliable deployment of services and models. Ensure high availability, disaster recovery, and robust security practices across environments. Data Engineering Build and maintain data processing pipelines for model training, experimentation, and analytics. Work closely with machine learning engineers and researchers to understand data requirements and workflows. More ❯

Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company? We’re on a mission to become the OpenAI of the spicy content industry, building a full-spectrum ecosystem … and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. Role Overview We are looking for a Senior DevOps Specialist with a strong python and data engineering background to support our R&D and tech teams by designing, building, and maintaining robust infrastructure and data pipelines across AWS and GCP. You will be instrumental … and proactively resolve infrastructure issues. Manage CI/CD pipelines for rapid, reliable deployment of services and models. Ensure high availability, disaster recovery, and robust security practices across environments. Data Engineering Build and maintain data processing pipelines for model training, experimentation, and analytics. Work closely with machine learning engineers and researchers to understand data requirements and workflows. More ❯

Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company? We’re on a mission to become the OpenAI of the spicy content industry, building a full-spectrum ecosystem … and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. Role Overview We are looking for a Senior DevOps Specialist with a strong python and data engineering background to support our R&D and tech teams by designing, building, and maintaining robust infrastructure and data pipelines across AWS and GCP. You will be instrumental … and proactively resolve infrastructure issues. Manage CI/CD pipelines for rapid, reliable deployment of services and models. Ensure high availability, disaster recovery, and robust security practices across environments. Data Engineering Build and maintain data processing pipelines for model training, experimentation, and analytics. Work closely with machine learning engineers and researchers to understand data requirements and workflows. More ❯

Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company? We’re on a mission to become the OpenAI of the spicy content industry, building a full-spectrum ecosystem … and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. Role Overview We are looking for a Senior DevOps Specialist with a strong python and data engineering background to support our R&D and tech teams by designing, building, and maintaining robust infrastructure and data pipelines across AWS and GCP. You will be instrumental … and proactively resolve infrastructure issues. Manage CI/CD pipelines for rapid, reliable deployment of services and models. Ensure high availability, disaster recovery, and robust security practices across environments. Data Engineering Build and maintain data processing pipelines for model training, experimentation, and analytics. Work closely with machine learning engineers and researchers to understand data requirements and workflows. More ❯

1. Design and implement AI-driven hybrid ETL/ELT pipelines using Python and LLMs: Build scalable ETL workflows that utilize large language models to extract structured and unstructured data from diverse sources such as PDFs, emails, logs, and web content, enhancing data coverage and flexibility. 2. Develop intelligent data extraction solutions using NLP and machine learning … techniques: Apply LLMs and NLP models to identify, extract, and transform complex data entities and relationships from semi-structured or free-text sources, enabling automation of previously manual processes. 3. Ensure accuracy and consistency in AI-powered data transformations: Implement data quality checks, context-aware validations, and post-processing logic to refine outputs from LLM-based … extraction, ensuring reliability and business compliance. 4. Collaborate with data scientists and AI teams to fine-tune models for domain-specific extraction tasks: Partner with cross-functional teams to train or adapt LLMs for industry-specific data contexts (e.g., education, science, professional development), aligning model behaviour with business needs. 5. Monitor and optimize the performance of AI-enhanced More ❯

analytics frameworks, and deliver actionable insight that drives measurable commercial and customer outcomes. Your Mission Lead the digital analytics function across multiple brands, bringing structure, accuracy, and strategy to data collection and performance reporting. Own and optimise the analytics stack, including Google Analytics 360, BigQuery, and Google Tag Manager. Ensure robust tagging and tracking across the full digital estate … including event tracking, user journeys, and conversion funnels. Translate complex data into clear, actionable insight for Marketing, UX, and Product teams, enabling smarter decisions across campaigns, journeys, and content. Create dashboards and reporting frameworks using Looker, Tableau, or similar platforms to surface KPIs and unlock performance trends. Identify friction points and drop-offs across the customer journey, informing CRO … UX, and personalisation efforts. Work alongside developers and QA teams to implement tracking solutions and ensure data quality. Advise senior stakeholders with strategic recommendations rooted in data, tied to commercial and customer experience outcomes. What You Bring 5–8+ years of experience in web or digital analytics roles, ideally in fast-paced ecommerce or complex multi-brand environments. More ❯

We're looking to add an experienced and enthusiastic Senior Data Scientist to our Jet2 Data Science team. As our Senior Data Scientist , you will be expected to work with internal teams across the business, to identify, collaborate with, and enthuse stakeholders across the wider group. You will take responsibility for the delivery of an initiative and … adopt our ways of working, being able to break down initiatives into measurable tasks, and report progress and issues blocking progress. Working within a pod of Data Scientists under management of a Lead Data Scientist, you will 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 to our stakeholders and produce recommendations on how the business can realise value from this work. As our Senior Data Scientist , you'll have access to a wide range of benefits including: Hybrid working (we're in the office 2 days per week) Colleague discounts on Jet2holidays and flights Access to a More ❯

of Concepts (PoCs) and Minimal Viable Products (MVPs) to demonstrate AI capabilities. Client Project Delivery: Support the delivery of AI solutions for client projects, ensuring timely execution and high-quality outcomes. Collaborate with cross-functional teams to understand client requirements, translate them into technical specifications, and help drive the successful implementation of AI models. Contribute to client presentations and … Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. Data Management & Integration: Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development. Help integrate AI models with existing data pipelines and systems, ensuring data is processed and utilized effectively for AI model training and deployment. Ensure data quality and adhere to best practices for data governance and privacy when handling sensitive information. Practise Building Work closely with business teams and clients to demonstrate the potential of AI and assess its feasibility for solving business More ❯

Data Quality and Governance Manager - Hybrid - Leeds - £65,000 My client is looking for a Data Quality & Governance Manager to shape how data is trusted and used throughout their organisation. They are looking for someone to lead efforts in ensuring the consistency, reliability, and governance of data. This role will work closely with business and … technical teams to develop and implement frameworks for data quality, governance, and master data management, using Snowflake and Microsoft Azure. Requirements: Experience in data governance and data quality management Strong knowledge of data warehouse architecture and cloud platforms, especially Snowflake and Microsoft Azure. Proven experience designing and managing data pipelines in cloud … environments with integrated data governance principles. Hands-on experience with data migrations Strong experience in working with data engineers, business stakeholders, and data stewards. Please Note: This is role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles More ❯

Data Quality and Governance Manager - Hybrid - Leeds - £65,000 My client is looking for a Data Quality & Governance Manager to shape how data is trusted and used throughout their organisation. They are looking for someone to lead efforts in ensuring the consistency, reliability, and governance of data. This role will work closely with business and … technical teams to develop and implement frameworks for data quality, governance, and master data management, using Snowflake and Microsoft Azure. Requirements: Experience in data governance and data quality management Strong knowledge of data warehouse architecture and cloud platforms, especially Snowflake and Microsoft Azure. Proven experience designing and managing data pipelines in cloud … environments with integrated data governance principles. Hands-on experience with data migrations Strong experience in working with data engineers, business stakeholders, and data stewards. Please Note: This is role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles More ❯

Job Title Senior Manager - Data Management and Governance Location Asda House Employment Type Full time Contract Type Permanent Hours per Week 37.5 Salary Competitive Salary plus benefits Category Data Science Closing Date 1 June 2025 This role is based in our Leeds office. You'll be expected to be on-site three days per week to support team … collaboration and project delivery. Asda is an exciting place to work we have undergone a significant transformation which has reworked all the technology that drives the business. Data Governance is essential to both protect and enable Asda to derive more value from its data. We are looking for a seasoned Senior Data Governance Manager to join the Asda … Data Senior Leadership team. To lead the development and implementation of Asda's data governance capability. Your Role (Key Responsibilities) Managing and leading a high performing data governance function, including data quality, data management and data governance roles. Developing and shaping data governance strategies and frameworks, including coordinating data management, governance More ❯

our ITIL v4-aligned service model, leveraging ServiceNow automation and agentic AI. We deliver a centralized, knowledge-driven shared service-engineered for speed, consistency, and technical excellence through systemized quality control and accessible, authoritative knowledge. What You Will Do Act as the named operational technical lead for a group of customers, building trust and maintaining deep familiarity with their … estates, including critical infrastructure, key business services, and their interdependencies. Support ServiceNow CMDB data quality by advising on configuration item grouping, in alignment with the CSDM. Ensure estates are accurately mapped to support lifecycle awareness, operational planning, and service continuity. Routinely consult with pre-sales and account management about CIs approaching end of life and update risk registers … written-with the ability to engage effectively at all levels and articulate messages for diverse audiences. A proactive and disciplined mindset-self-motivated, resilient, and focused on delivering high-quality outcomes. Strong expertise in Microsoft Active Directory domains and Azure environments. Experience with virtualization technologies, particularly VMware vSphere and ESX. Solid understanding of networking principles and security best practices. More ❯

development of machine learning systems. This is a deeply technical role focused on applied AI, not management or strategy alone. You’ll work at the intersection of large-scale data processing, generative AI, and cloud infrastructure, contributing directly to the architecture and delivery of smart features across the platform. If you’re passionate about building production-grade AI tools … integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code reviews, design discussions, and knowledge sharing. Scalability & Reliability Solve practical challenges like data quality, explainability, and robust infrastructure for ML. What You’ll Bring 7+ years of hands-on experience building ML/AI systems in production. 3+ years in a … senior technical contributor or team lead role. Advanced Python skills with exposure to common ML frameworks and data libraries. Solid experience working with cloud platforms (ideally AWS) and infrastructure-as-code tools (e.g., Terraform). Understanding of distributed systems, microservices, and modern software architecture. Hands-on experience with LLMs and generative AI models, including tuning and inference. Ability to More ❯

development of machine learning systems. This is a deeply technical role focused on applied AI, not management or strategy alone. You’ll work at the intersection of large-scale data processing, generative AI, and cloud infrastructure, contributing directly to the architecture and delivery of smart features across the platform. If you’re passionate about building production-grade AI tools … integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code reviews, design discussions, and knowledge sharing. Scalability & Reliability Solve practical challenges like data quality, explainability, and robust infrastructure for ML. What You’ll Bring 7+ years of hands-on experience building ML/AI systems in production. 3+ years in a … senior technical contributor or team lead role. Advanced Python skills with exposure to common ML frameworks and data libraries. Solid experience working with cloud platforms (ideally AWS) and infrastructure-as-code tools (e.g., Terraform). Understanding of distributed systems, microservices, and modern software architecture. Hands-on experience with LLMs and generative AI models, including tuning and inference. Ability to More ❯

development of machine learning systems. This is a deeply technical role focused on applied AI, not management or strategy alone. You’ll work at the intersection of large-scale data processing, generative AI, and cloud infrastructure, contributing directly to the architecture and delivery of smart features across the platform. If you’re passionate about building production-grade AI tools … integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code reviews, design discussions, and knowledge sharing. Scalability & Reliability Solve practical challenges like data quality, explainability, and robust infrastructure for ML. What You’ll Bring 7+ years of hands-on experience building ML/AI systems in production. 3+ years in a … senior technical contributor or team lead role. Advanced Python skills with exposure to common ML frameworks and data libraries. Solid experience working with cloud platforms (ideally AWS) and infrastructure-as-code tools (e.g., Terraform). Understanding of distributed systems, microservices, and modern software architecture. Hands-on experience with LLMs and generative AI models, including tuning and inference. Ability to More ❯

development of machine learning systems. This is a deeply technical role focused on applied AI, not management or strategy alone. You’ll work at the intersection of large-scale data processing, generative AI, and cloud infrastructure, contributing directly to the architecture and delivery of smart features across the platform. If you’re passionate about building production-grade AI tools … integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code reviews, design discussions, and knowledge sharing. Scalability & Reliability Solve practical challenges like data quality, explainability, and robust infrastructure for ML. What You’ll Bring 7+ years of hands-on experience building ML/AI systems in production. 3+ years in a … senior technical contributor or team lead role. Advanced Python skills with exposure to common ML frameworks and data libraries. Solid experience working with cloud platforms (ideally AWS) and infrastructure-as-code tools (e.g., Terraform). Understanding of distributed systems, microservices, and modern software architecture. Hands-on experience with LLMs and generative AI models, including tuning and inference. Ability to More ❯

development of machine learning systems. This is a deeply technical role focused on applied AI, not management or strategy alone. You’ll work at the intersection of large-scale data processing, generative AI, and cloud infrastructure, contributing directly to the architecture and delivery of smart features across the platform. If you’re passionate about building production-grade AI tools … integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code reviews, design discussions, and knowledge sharing. Scalability & Reliability Solve practical challenges like data quality, explainability, and robust infrastructure for ML. What You’ll Bring 7+ years of hands-on experience building ML/AI systems in production. 3+ years in a … senior technical contributor or team lead role. Advanced Python skills with exposure to common ML frameworks and data libraries. Solid experience working with cloud platforms (ideally AWS) and infrastructure-as-code tools (e.g., Terraform). Understanding of distributed systems, microservices, and modern software architecture. Hands-on experience with LLMs and generative AI models, including tuning and inference. Ability to More ❯

development of machine learning systems. This is a deeply technical role focused on applied AI, not management or strategy alone. You’ll work at the intersection of large-scale data processing, generative AI, and cloud infrastructure, contributing directly to the architecture and delivery of smart features across the platform. If you’re passionate about building production-grade AI tools … integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code reviews, design discussions, and knowledge sharing. Scalability & Reliability Solve practical challenges like data quality, explainability, and robust infrastructure for ML. What You’ll Bring 7+ years of hands-on experience building ML/AI systems in production. 3+ years in a … senior technical contributor or team lead role. Advanced Python skills with exposure to common ML frameworks and data libraries. Solid experience working with cloud platforms (ideally AWS) and infrastructure-as-code tools (e.g., Terraform). Understanding of distributed systems, microservices, and modern software architecture. Hands-on experience with LLMs and generative AI models, including tuning and inference. Ability to More ❯

development of machine learning systems. This is a deeply technical role focused on applied AI, not management or strategy alone. You’ll work at the intersection of large-scale data processing, generative AI, and cloud infrastructure, contributing directly to the architecture and delivery of smart features across the platform. If you’re passionate about building production-grade AI tools … integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code reviews, design discussions, and knowledge sharing. Scalability & Reliability Solve practical challenges like data quality, explainability, and robust infrastructure for ML. What You’ll Bring 7+ years of hands-on experience building ML/AI systems in production. 3+ years in a … senior technical contributor or team lead role. Advanced Python skills with exposure to common ML frameworks and data libraries. Solid experience working with cloud platforms (ideally AWS) and infrastructure-as-code tools (e.g., Terraform). Understanding of distributed systems, microservices, and modern software architecture. Hands-on experience with LLMs and generative AI models, including tuning and inference. Ability to More ❯

Data Quality & Governance Manager | onsite 4 days per week in Leeds | £60,000 - £70,000 + benefits My client have embarked on a global mission of change, to leverage their vast and complex data sets and create a data-enabled business. As such they are looking for a Data Quality & Governance Manager to get … a handle on the data, identify root cause issues, tackle DQ problems and set up a framework for data governance. As D ata Quality & Governance Manager, you'll be at the heart of a high-energy, fast-paced environment, championing data governance, defining and implementing robust data quality rules and leading the charge on … master data management. Working at the intersection of technology and business, you’ll collaborate with engineers, analysts, and business stakeholders to ensure that our data is consistent, usable and fit for purpose. Essential Skills: This company are a fast moving SaaS business, they don't need someone to just join them and write data policies, so this More ❯

Hours: MondayThursday 08:0016:15, Friday 08:0016:00 ________________________________________ About the Organisation This well-established and Ofsted-rated Good training provider has over 60 years of experience delivering high-quality engineering training. With centres located across multiple sites, they specialise in Level 3 & 4 engineering apprenticeships, higher education programmes, and upskilling courses. The organisation works in partnership with over … Specialist to lead and oversee Management Information Systems and maximise funding accuracy and compliance across the organisations training provision. In this stand alone role, Youll be responsible for maintaining data quality, managing funding submissions, and ensuring audit readiness. A strong knowledge of apprenticeship and 1619 funding is essential, along with the ability to support internal teams and drive … efficiencies. ________________________________________ Key Responsibilities Management Information Systems (MIS): Lead and manage the MIS function, including data entry, validation, reporting, and maintenance. Ensure learner records are accurate, compliant, and audit-ready. Manage ILR (Individualised Learner Record) submissions in line with DfE guidelines. Develop internal reporting tools to support performance and decision-making. Collaborate with delivery teams to ensure timely and accurate More ❯

Hours: MondayThursday 08:0016:15, Friday 08:0016:00 ________________________________________ About the Organisation This well-established and Ofsted-rated Good training provider has over 60 years of experience delivering high-quality engineering training. With centres located across multiple sites, they specialise in Level 3 & 4 engineering apprenticeships, higher education programmes, and upskilling courses. The organisation works in partnership with over … Specialist to lead and oversee Management Information Systems and maximise funding accuracy and compliance across the organisations training provision. In this stand alone role, Youll be responsible for maintaining data quality, managing funding submissions, and ensuring audit readiness. A strong knowledge of apprenticeship and 1619 funding is essential, along with the ability to support internal teams and drive … efficiencies. ________________________________________ Key Responsibilities Management Information Systems (MIS): Lead and manage the MIS function, including data entry, validation, reporting, and maintenance. Ensure learner records are accurate, compliant, and audit-ready. Manage ILR (Individualised Learner Record) submissions in line with DfE guidelines. Develop internal reporting tools to support performance and decision-making. Collaborate with delivery teams to ensure timely and accurate More ❯

responsibility for development of homepage and precedent documents. Produce test packs for automation, test and sign off calculations for DB and DC members. Assist in due diligence exercises, analysing data quality, identifying data issues and proposing solutions. Monitor and manage data cleaning requirements. Assist and prepare large mailing projects to members. Scoping costs for projects outside … good written and verbal communication. Good time management skills and the ability to organise and prioritise own workload. Able to work to a high level of accuracy. Customer and quality focused Computer literate with experience of using Excel spreadsheets At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we More ❯