SMG is seeking an MLOps Engineer to own the ML platform from development to production, packaging, registry and the shared tooling that data scientists rely on to ship reliably.
You will manage deployment and monitoring, ensure data quality and drift detection, and drive a governed retraining lifecycle while collaborating with data scientists, data engineers, and DevOps on Azure/AWS, Databricks, and Snowflake.
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MLOps Platform Engineer – Build Production-Ready ML in London employer: SMG
At SMG, we pride ourselves on being a forward-thinking employer that champions growth and innovation in the dynamic world of influencer marketing. Located in Nottingham, our vibrant work culture fosters collaboration and creativity, offering employees unique benefits such as a £1,800 yearly wellbeing fund, flexible working arrangements, and opportunities for professional development. Join us to be part of a close-knit team that values diversity, encourages fresh perspectives, and empowers you to take ownership of your career while making meaningful contributions to the future of retail media.
