Principal Software Engineer (GenAI)

TL;DR

Principal Software Engineer (GenAI): Leading the design and development of state-of-the-art tools and platforms for scalable Data Science, MLOps, and LLMOps workflows with an accent on deploying, serving, and monitoring large language models in real-time and batch environments. Focus on driving technical strategy, championing engineering excellence, and cultivating a high-performing culture within the hirify.global's evolving media landscape.

Location: Hybrid role based in London, Salford, Glasgow, Newcastle-upon-Tyne, or Cardiff, United Kingdom. Candidates will balance office working with home working.

Salary: £80,000–£90,000

Company

The hirify.global is one of the UK's most iconic media brands, pioneering innovative products and features in an ever-changing world.

What you will do

• Lead the design and evolution of tooling and platforms for scalable Data Science, MLOps, and LLMOps workflows.
• Drive strategy for deploying, serving, and monitoring large language models using AWS SageMaker, Bedrock, and related services.
• Guide adoption of Infrastructure as Code practices using AWS CDK and CloudFormation.
• Design and support reliable CI/CD pipelines using GitHub Actions, AWS CodePipeline, Jenkins, and other tools.
• Contribute to the integration of monitoring and observability solutions and apply security best practices.
• Partner with architects, engineering teams, and product stakeholders to shape technical strategy and mentor teams.

Requirements

• Extensive experience in DevOps and MLOps roles building, scaling, and securing ML/AI infrastructure in cloud-native environments.
• Deep understanding of the ML lifecycle and practical experience deploying/managing LLMs and generative AI in production.
• Strong expertise across AWS services (SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS).
• Advanced proficiency in Infrastructure as Code using AWS CDK, CloudFormation, or Terraform in production.
• Proven success designing and operationalizing MLOps pipelines (MLflow, SageMaker Pipelines) and building/operating containerized apps (Docker, Kubernetes).
• Deep hands-on capability with CI/CD best practices (GitHub Actions, Jenkins, GitOps) and cloud security.

Nice to have

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
• Industry-recognised certifications (AWS Certified DevOps Engineer, GenAI Developer, ML Engineer, Solutions Architect – Professional).
• Strong written and verbal communication skills, with experience influencing technical direction.
• Active contributor to open-source MLOps, GenAI, or DevOps projects.
• Experience mentoring others and leading by example.

Culture & Benefits

• Flexible 35-hour working week with 25 days annual leave, option to buy an extra 5 days.
• Defined pension scheme and discounted dental, health care, and gym.
• Excellent career and professional development opportunities.
• Support for flexible working arrangements.
• Inclusive environment that values and respects individual contributions.