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CreateFuture

ML Ops Engineer - 12 Month Contract

Remote

United kingdom

Freelance

09-12-2025

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Skills

Go GitLab CI/CD Monitoring Machine Learning AWS Marketing Snowflake Large Language Models CI/CD Pipelines

Job Specifications

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.

About the Company

CreateFuture was built to take action. With our 500-strong team of software engineering, strategy and design experts, across Edinburgh, Leeds, London and Manchester, we’re determined to get you exactly what you need. As with our past clients, we get to the root of your challenge and do everything it takes to create positive solutions by building digital products and services that solve problems. With years of experience helping catalyse major organisations into action, our rapid growth has been driven by people who seek t... Know more