CreateFuture

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 to understand before they solve. We care about our craft. We challenge each other by asking, “Why not?”. And we’re proud to collaborate and partner with the likes of PayPal, adidas, FanDuel, Money Saving Expert, Penguin Random House, Yorkshire Building Society and more.

With CreateFuture, our people are at the forefront of every outcome and we know that a strong team dynamic is critical to success, so we’ll be there for you every step of the way. We draw on their unique skills for problem-solving – and helping your teams unleash their potential too. Put simply, we want to be an organisation that people want to work for and want to work with.

You don’t need to have all the answers. Share your problem and we’ll go from there. Let’s create something incredible, together, today.

Listed Jobs

Company Name

CreateFuture

Job Title

Senior AI/Data Engineer (Contract)

Job Description

**Job Title** Senior AI/Data Engineer (Contract) **Role Summary** Lead the end‑to‑end development of an AI‑powered tool that automates URL redirect mapping for a large‑scale web migration. Work independently to build a data pipeline that ingests content from the WordPress VIP API, applies semantic analysis with a large language model, matches against a provided destination structure, and outputs a confidence‑rated mapping spreadsheet. **Expectations** * Deliver a fully functional, standalone solution on a short‑term contract timeline. * Operate solo with minimal oversight, demonstrating proactive problem‑solving and pivoting skills. * Communicate progress clearly and meet milestones for ingestion, analysis, matching, and export. **Key Responsibilities** 1. Design and implement a data ingestion pipeline that connects to WordPress VIP REST APIs and pulls page content. 2. Process retrieved content with an LLM (OpenAI Batch API) for semantic similarity, classification, and structured output. 3. Parse a manually supplied CSV/Excel spreadsheet defining destination site structure. 4. Compare LLM results against destination structure to generate a source‑to‑destination URL mapping, including confidence scores. 5. Export final mappings as CSV/Excel, ready for manual review. 6. Store intermediate and final data in a SaaS database (e.g., Supabase), ensuring persistence and accessibility. 7. Optimize performance and reliability of the entire workflow to meet project deadlines. 8. Document code, architecture, and usage instructions for future maintainers. **Required Skills** * Backend development in Python, TypeScript, or .NET. * Experience building data pipelines that ingest data via third‑party REST APIs. * Hands‑on use of generative AI/NLP (LLMs) for semantic matching, classification, and structured JSON output. * Proficiency with OpenAI Batch API and WordPress API. * Familiarity with SaaS databases (Supabase or equivalent) for data persistence. * Strong problem‑solving, self‑management, and independent work ethic. * Ability to write clean, testable, and documented code. **Required Education & Certifications** * Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field. * No specific certifications required; practical experience with the stated technologies is essential.

Edinburgh, United kingdom

On site

Senior

16-11-2025

Company Name

CreateFuture

Job Title

ML Ops Engineer - 12 Month Contract

Job Description

Job title: ML Ops Engineer (12‑Month Contract) Role Summary: Lead the development, scaling, and operationalisation of a new machine‑learning platform. Design and implement infrastructure, CI/CD pipelines, and end‑to‑end workflow orchestration across AWS SageMaker, Snowflake, GitLab, and MLflow, ensuring production readiness and high availability. Expections: • Deliver a robust, scalable ML platform that supports high‑impact data science products. • Demonstrate ownership from design through deployment, maintenance, and optimisation. • Collaborate with cross‑functional teams in a fast‑paced, product‑oriented environment. • Deliver results within a 12‑month contractual period, meeting agreed milestones. Key Responsibilities: • Scale, optimise, and monitor the ML platform for performance, cost, and reliability. • Build and maintain CI/CD pipelines for model training, testing, and deployment. • Orchestrate ML workflows end‑to‑end, from data ingestion to model serving. • Integrate platform components with AWS services (SageMaker, Bedrock – optional), Snowflake, GitLab, and MLflow. • Contribute to platform design, establish best practices, and drive production readiness. • Provide operational support, troubleshooting, and continuous improvement of infrastructure. Required Skills: • Proven MLOps engineering experience deploying machine‑learning systems at scale. • Strong AWS cloud expertise (SageMaker, EC2, S3, IAM, CloudWatch). • Hands‑on experience with CI/CD (GitLab CI, Jenkins, or similar) and workflow orchestration (Airflow, Prefect, or equivalent). • Familiarity with data warehousing (Snowflake) and experiment tracking tools (MLflow). • Comfort with scripting (Python, Bash) and infrastructure‑as‑code (Terraform, CDK). • Ability to work independently, communicate effectively, and thrive in a product‑focused setting. Required Education & Certifications: • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent practical experience). • Relevant cloud or MLOps certifications (AWS Certified Machine Learning – Specialty, AWS Certified DevOps Engineer, or similar) preferred.

United kingdom

Remote

09-12-2025

Company Name

CreateFuture

Job Title

Senior Cloud Engineer (Azure)

Job Description

**Job Title** Senior Cloud Engineer (Azure) **Role Summary** Architect, build, and maintain cloud‑native infrastructures across AWS, Azure, and GCP. Act as a technical consultant to clients, delivering scalable, secure, and automated solutions using IaC, configuration management, and CI/CD pipelines. Collaborate with cross‑functional teams to define technology strategy and roadmap. **Expectations** - Demonstrate strong consulting and client‑facing skills. - Lead end‑to‑end cloud migrations and platform deployments. - Promote engineering excellence, clean code, unit testing, and knowledge sharing. - Deliver solutions that meet security by design and operational excellence. **Key Responsibilities** - Provide expert guidance on cloud technologies and architecture to both internal teams and clients. - Design and implement Infrastructure as Code using Terraform, CDK, or CloudFormation. - Configure and maintain infrastructure via Ansible, Chef, or Puppet. - Build, maintain, and optimize CI/CD pipelines in Jenkins, GitHub Actions, or GitLab Pipelines, including blue/green deployments. - Embed security controls in IaC and pipeline workflows. - Integrate cloud resources with on‑premises or other cloud platforms. - Produce clear, client‑friendly documentation of deployments and configurations. - Contribute to standard solution catalogs for repeatable engagements. - Mentor teammates and foster cross‑department knowledge sharing. **Required Skills** - Advanced proficiency with AWS, Azure, and GCP services. - IaC expertise: Terraform, AWS CDK, CloudFormation. - Configuration management: Ansible, Chef, or Puppet. - CI/CD pipelines: Jenkins, GitHub Actions, GitLab CI. - Strong scripting (PowerShell, Bash, Python). - Cloud security fundamentals and best practices. - Agile project delivery experience. - Excellent communication and presentation skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, GCP Professional Cloud Architect). - CI/CD and IaC certifications or demonstrable experience are a plus.

Edinburgh, United kingdom

Hybrid

Senior

09-12-2025

Company Name

CreateFuture

Job Title

Senior Cloud Engineer (GCP)

Job Description

**Job Title:** Senior Cloud Engineer (GCP) **Role Summary:** Lead cloud architecture, design, and implementation across AWS, Azure, and GCP for external and internal clients. Deliver scalable, secure, and automated cloud solutions using Infrastructure‑as‑Code and CI/CD pipelines, while advising teams on best practices and integrating cloud services with existing systems. **Expectations:** - Provide expert consulting to select optimal cloud technologies. - Own end‑to‑end cloud delivery, from design to documentation. - Promote clean code, unit testing, and DevSecOps principles. - Mentor team members and foster knowledge sharing. **Key Responsibilities:** 1. Architect and implement cloud infrastructure using IAC tools (Terraform, CDK, CloudFormation). 2. Configure and manage resources with Ansible, Chef, or Puppet. 3. Build, maintain, and automate CI/CD pipelines (Jenkins, GitHub Actions, GitLab) including blue/green deployments. 4. Embed security by design in code, IaC, and pipelines. 5. Integrate cloud solutions with on‑prem or other cloud environments. 6. Create clear, client‑friendly documentation of implementations. 7. Develop reusable standard solutions for future projects. 8. Facilitate knowledge sharing across engineering teams. **Required Skills:** - In‑depth experience with AWS, plus familiarity with Azure and GCP. - Proficient in Terraform, CloudFormation, or CDK. - Strong scripting in Python or Bash. - Expertise in CI/CD automation (Jenkins, GitHub Actions, GitLab CI). - Solid understanding of DevSecOps, security best practices, and compliance. - Ability to design blue/green or canary deployment patterns. - Excellent communication, documentation, and mentoring abilities. **Required Education & Certifications:** - Bachelor’s degree or higher in Computer Science, Engineering, or related field. - Cloud certifications (e.g., AWS Certified Solutions Architect – Associate/Professional; Azure/AWS/GCP Cloud Practitioner or Professional preferable).

Edinburgh, United kingdom

Hybrid

Senior

09-12-2025