3 of 3 Data Quality Jobs in East 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 ❯

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 ❯

programmes. On SSN AUKUS this is currently a gap. The proposal is that the Application Configuration team will fill that gap. It is also recognised that on past programmes, Data Governance activities have been introduced at a point where Data Quality issues have started to affect the transition to build stage of the programme. Early implementation of … a data governance capability is LFE we can harness and presents an opportunity to improve our overall programme performance. Application Configuration Team Role Responsible for deploying Submarines specifics parameters into the Toolset configuration to enable the proper use and expected data output from CAD & PLM. Where the team cannot directly affect configuration settings in the tool such as … making use of new features as they become available as the Toolset evolves. Using the experience gained while deploying and maintaining the Submarines Parameters into the toolset to establish data governance solutions to review, report and ensure Data Quality. Your Role as Application Configuration Engineer NX and Teamcenter user experience and experience in configuring these toolsets to align More ❯