Who we are
CreateFuture is rapidly becoming the UK's most recognizable digital consultancy, with extensive experience in building digital products and services for major organizations while prioritizing our people. We have offices in Edinburgh, Leeds, Manchester, and London, along with remote employees across 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. Together with our clients, we create the future. Our collaborations span various industries and sectors, working with clients like PayPal, Adidas, NatWest, FanDuel, and Money Saving Expert.
Our reputation for delivering high-quality, robust, and thoughtful products has helped us grow to over 500 people in recent years. Our dedicated and friendly culture, along with a low employee exit rate, makes CreateFuture a great place to work. We have been recognized by Best Workplaces UK multiple years in a row across various categories.
Join us on our journey... Let's create something awesome together, today!
About the role and team:
We are looking for a Large Language Model (LLM) Engineer to join CreateFuture. You will work closely with a key client, managing the entire lifecycle of an LLM—from data preparation and model training to deployment and maintenance.
You will be part of a team exploring innovative, scalable event-driven intelligence solutions that are practically useful. This role involves hands-on work to develop real-world applications powered by large language models (LLMs).
If you are excited by prompt engineering, enjoy working with OpenAI, Bedrock, or Gemini, and are familiar with AWS, this role is for you.
What you'll be doing:
* Designing and refining prompts for optimal LLM outputs
* Building event-driven intelligence workflows using cloud-native tools
* Working with platforms like OpenAI, Amazon Bedrock, and Google Gemini
* Deploying and managing solutions on AWS
* Collaborating with cross-functional teams to integrate LLMs into live products and services
* Moving quickly and building smart, as this is a contract role
We'd love to talk if you:
* Have hands-on experience with large language models and prompt engineering
* Are comfortable designing smart, event-driven architectures
* Are proficient with AWS and deploying reliable, scalable cloud solutions
* Have experience with OpenAI, Bedrock, or Gemini solutions
* Enjoy working in fast-paced environments and tackling technical challenges
Next steps:
Our Talent Acquisition team aims to respond to all applications promptly. Our process includes:
1. A 30-minute call with our Talent Acquisition Team
2. A 45-minute technical interview
We value diverse teams and are committed to creating an inclusive workplace. If you need support or accommodations during the application process, please contact us.
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