3 of 3 Deployment Automation Jobs in Belfast

of ML models into the main product, focusing on long-term maintainability Engage with customers to understand needs and present findings Contribute to continuous deployment and delivery pipelines Participate in testing, implementation and live deployment of new features Support team-wide development through code sharing and feedback What … Desirable but not essential: Understanding of MLOps concepts and workflows Experience with geospatial (GIS) data Background in agile development practices Familiarity with AWS and automation/testing tools Experience in CI/CD pipelines and deployment automation This role would suit someone who is not only technically More ❯

Belfast, Northern Ireland, United Kingdom Lead Test Automation Engineer Location: Belfast Contract: Full time, Permanent EverQuote is seeking a Lead Test Automation Engineer to drive our end-to-end testing initiative and overall testing roadmap. We are looking for a technically skilled and strategically minded test leader to … and is ready to take ownership of our testing vision. Who You Are: A passionate and pragmatic quality engineer who understands the value of automation but knows when not to overengineer. You thrive on enabling others through frameworks, training, and mentorship. You're comfortable balancing short-term delivery pressures … with long-term quality strategy. What You'll Be Doing: Own and evolve the overall test automation strategy and roadmap across teams and platforms Lead the development and improvement of our end-to-end test frameworks (UI, API, performance) Build reusable tools and pipelines that integrate seamlessly into our More ❯

Work within a .NET environment, integrating AI solutions with existing Microsoft-based infrastructure and applications. Develop AI pipelines and APIs to facilitate smooth AI deployment and integration. Stay up to date with emerging AI regulations, ethical considerations, and industry standards. Conduct risk assessments for AI deployments, ensuring compliance with … governance policies. Essential Skills & Experience AI Development & Deployment: Strong hands-on experience developing and deploying AI/ML models. RAG Expertise: Experience in Retrieval-Augmented Generation and related vector databases (e.g., Pinecone, FAISS, Weaviate). LLMs & NLP: Experience working with LLMs (OpenAI, Anthropic, Hugging Face, etc.), including model tuning … REST APIs, GraphQL, and microservices architectures. Good knowledge of common ML algorithms. Version Control & CI/CD: Familiarity with Git, DevOps pipelines, and automated deployment workflows Working knowledge of nVidia tech stack. Desirable Skills Experience in AI for finance, healthcare, legal, or other highly regulated industries. Familiarity with AI More ❯