3 of 3 MLOps Jobs in Birmingham

integration. Architect production-grade GenAI solutions including RAG, intelligent search, knowledge assistants, workflow automation, and decision-support systems. Establish AI engineering standards covering LLMOps, MLOps, platform governance, observability, security, and responsible AI. Lead technology selection across LLMs, orchestration frameworks, vector databases, and cloud AI platforms. Drive enterprise adoption … Experience with Kubernetes, Docker, Terraform, Bicep, CI/CD, and Infrastructure as Code. Proficiency with GitHub Actions, GitLab, and Jenkins. Knowledge of LLMOps and MLOps, model governance, AI security and guardrails, LangSmith, Arize, and monitoring and evaluation frameworks. Master's degree in Computer Science, AI, Data Science, or related discipline ...

solutions into existing products and platforms. ✔️ Optimize model accuracy, efficiency, and scalability. ✔️ Research new AI frameworks, methodologies, and technologies. ✔️ Deploy and monitor models using MLOps pipelines. ✔️ Utilize cloud AI services from AWS, Azure, or Google Cloud. ✔️ Collaborate with cross-functional teams to define AI project goals. ✔️ Translate complex data insights ...

/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business \n Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines \n Collaborate with enterprise platform and data science … What we're looking for \n \n Deep expertise in Python and ML engineering \n Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures \n Track record of leading ML/AI technical initiatives across multiple teams \n Strong experience with cloud platforms (AWS, Azure ...