Machine Learning Operations Engineer

Turn Data into Action with Retail Insight.
AtRetail Insight (RI), we transform data into actionable strategies, empowering retailers and CPGs to make smarter decisions. Our cutting-edge algorithms and innovative retail execution products are trusted by many of the world’s leading companies to improve sales, profitability, and operational efficiency.
From tackling out-of-stocks and poor in-store execution to reducing waste, markdowns, and shrink, RI helps businesses unlock performance drivers through advanced analytics. Find out more about our journey here .
About the role:
We’re looking for a MLOps Engineer to help us operationalize machine learning at scale. This is a critical role at the intersection of data science and IT operations, ensuring our ML models are robust, reliable, and production-ready. You’ll build the infrastructure, automation, and pipelines that enable seamless deployment and ongoing performance of ML systems — accelerating innovation and helping us deliver value faster to our clients.
What you will do:
Build Pipelines: Design and maintain scalable ML pipelines that automate the end-to-end lifecycle.
Deploy & Monitor Models: Oversee deployment into production, monitoring performance and retraining as needed.
Automation & CI/CD: Implement CI/CD pipelines for ML workflows, driving speed and reliability.
Manage Infrastructure: Develop and maintain infrastructure for data, models, and computation using cloud and containerization technologies.
Collaborate Across Teams: Partner with Data Science, Engineering, Operations, and Product to deliver seamless ML solutions.
Establish Best Practices: Promote MLOps standards to ensure quality, scalability, and consistency.
Innovate & Improve: Continuously evaluate new tools and techniques to evolve our MLOps capabilities
Proven programming skills in Python, with experience in ML frameworks.
Experience with cloud platforms (Snowflake, Azure, GCP, AWS).
Skilled in containerization (Docker) and orchestration (Kubernetes).
Knowledge of data engineering concepts (ETL, data warehousing, data lakes, databases).
Experience with CI/CD automation for ML workflows.
Familiarity with monitoring and logging tools for production ML models.
Ability to work in agile, cross-functional teams.
Relevant degree in Computer Science, Data Science, Engineering, or related field (preferred).
Nice to haves...
Experience in a retail background would be beneficial
Keen on continuous technical development, data analytics trends and tools
Some of our extras... Flexible Working – Enjoy a hybrid work model (typically 2 days in the office) with flexibility based on business needs, plus a work from anywhere policy to give you freedom to explore.
Time Off – 25 days annual leave (+ bank holidays), increasing with length of service, plus an extra day off for your birthday! We also operate summer hours so you can make the most of the sunshine.
Learning & Development – Access a vast range of courses through our learning platform and benefit from structured career progression plans to support your growth.
Health & Wellbeing – Private Medical Insurance, a healthcare cash plan, and mental health support via Help@Hand. Plus, we’ll ensure you have a safe and productive home setup with a workspace assessment.
Giving Back – Take paid volunteer days to support your local community, donate to your chosen charity through salary sacrifice (we’ll match it!), and make a difference with Give as You Earn.
Extra Perks – A car purchase scheme to make buying a new car easier, plus access to additional benefits through our online platform, including gym discounts.
Plus much more!
Be your authentic self - Retail Insight is committed to promoting equal opportunities in employment. All employees and any job applicants will receive equal treatment. We actively seek to create an environment where everyone feels respected, supported, and encouraged to contribute their best work.
About Us We’re a unique blend of retail expertise built up from extensive industry experience; mathematical talent that builds and maintains sophisticated algorithms; and engineering skill that handles vast volumes of data regularly.
W e combine leading-edge technology with cutting-edge thinking, to help you tackle today’s mission-critical operational challenges and maximize your retail potential.
We focus on the factors that drive sales and profit performance, minimise waste and loss, and increase operational efficiency. The result: dynamic solutions that provide actionable insights and unparalleled time to value.
Our values underpin everything we do at Retail Insight. They drive us, define us and shape our decision-making. They’re also the reason the world’s largest retailers and CPGs find working with us so easy.

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