b Overview /b p In this role you will design, deploy, and maintain production-grade ML solutions with a strong emphasis on MLOps, CI/CD, model serving, monitoring, and scalable cloud infrastructure. You will advance capabilities toward LLMOps and agentic AI workflows, supporting LLM applications, RAG pipelines, and enterprise observability. Collaborating with engineering and data science, you’ll also advise clients on best practices in AI infrastructure and scalability to drive impactful AI outcomes in enterprise environments. /p b Responsibilities /b ul li Build, deploy and maintain production-ready ML solutions with MLOps practices (CI/CD, model serving, monitoring) /li li Develop and maintain robust cloud infrastructure for AI workloads /li li Extend capabilities toward LLMOps and agentic AI workflows (LLM applications, RAG pipelines, model evaluation, observability) /li li Collaborate with engineering and data science teams and engage with clients on AI infrastructure and scalability best practices /li li Contribute to enterprise AI solutions at the intersection of modern AI and enterprise systems /li /ul b Key requirements /b ul li strong collaboration and teamwork /li li clear communication and advisory capabilities /li li problem solving in complex AI environments /li li MLOps practices (CI/CD, model serving, monitoring) /li li cloud infrastructure for AI workloads /li li LLMOps and agentic AI workflows /li /ul
MLOps Engineer employer: EPAM Systems
Join a dynamic and innovative team in London where your expertise as a Delivery Director will be valued and nurtured. We pride ourselves on a collaborative work culture that fosters continuous improvement and professional growth, offering you the chance to work alongside award-winning teams in the Retail/Consumer Products industry. With a focus on client satisfaction and strategic project delivery, you'll find meaningful and rewarding employment in an environment that champions creativity and technical excellence.
