ML Ops Engineer - 12 Month Contract

Who We Are CreateFuture is fast becoming the UK’s most recognisable digital consultancy, with years of experience building digital products and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds, Manchester, and London as well as remote employees located throughout the country. We are a team of creators - whether that’s code, project plans, go to market strategies, culture initiatives, marketing campaigns, large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and partner across a multitude of industries and sectors, with the likes of PayPal, adidas, Natwest, FanDuel and Money Saving Expert, to name just a few. Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500 people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have built - that makes CreateFuture a great place to work. Don’t just take our word for it though, we have been recognised by Best Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low. Join us on our journey… Let’s create something awesome, together, today. About The Role And Team CreateFuture is looking for a Senior MLOps Engineer to help scale and mature a brand-new machine learning platform. This is a hands-on role where you’ll shape the infrastructure, automation, and tooling that will support high-impact ML products across the business. What you’ll be doing • Scaling, optimising, and monitoring the new ML platform • Building robust infrastructure and CI/CD pipelines • End-to-end orchestration of ML workflows • Working across AWS (SageMaker), Snowflake, GitLab, and MLflow • Contributing to platform design, best practices, and production readiness • (Bonus) Experience with Amazon Bedrock What we’re looking for • Strong MLOps engineering background • Experience deploying and maintaining ML systems at scale • Solid cloud engineering skills (AWS) • Proven track record with CI/CD and workflow orchestration • Comfortable working in a fast-paced, product-focused environment Next Steps Our Talent team aims to respond to all applications within a reasonable timeframe, regardless of whether or not we progress your application. Our Interview Process • 30-minute call with one of our Talent Acquisition Team. • 1-hour competency-based interview Our interview process is designed as an opportunity both for our interviewers to learn about your expertise, interests and motivations and for you to gain insights into the role, team and business as a whole, so throughout the process, you’ll meet a few people from our team as well as others from across the business to help you get a well-rounded view of the role and life at CreateFuture. We believe that representative teams made up of people with different backgrounds, skills, and points of view help us build the best workplace possible, and enable us to create genuinely innovative, broadly useful products.