Senior Software Engineer (Machine Learning)

TL;DR

Senior Software Engineer (Machine Learning): Designing and delivering tools, platforms, and capabilities that empower data scientists and engineering teams with an accent on scalable machine learning workflows. Focus on building infrastructure-as-code, optimizing ML pipelines, and ensuring system reliability using AWS.

Location: Hybrid (1 day a week) in Salford, Glasgow, Newcastle, Cardiff, or Birmingham

Salary: £60,000 – £70,000

Company

The hirify.global is one of the world's most respected media organisations, dedicated to informing, educating, and entertaining.

What you will do

• Design, build, and maintain tools, services, and infrastructure to support machine learning workflows.
• Apply strong engineering practices, including TDD, CI/CD, and clean software design principles.
• Mentor and support junior engineers, fostering a culture of continuous learning.
• Collaborate through pair programming and cross-functional engagement to deliver maintainable solutions.
• Contribute to architectural decisions regarding data-driven technologies and system integrations.
• Conduct code reviews and implement testing strategies to ensure quality, security, and scalability.

Requirements

• Strong experience with modern Python development, including TDD and CI/CD pipelines.
• Solid understanding of software engineering principles, design patterns, and security considerations.
• Experience building cloud-based services with AWS (e.g., SageMaker, S3, VPC, KMS).
• Experience with infrastructure-as-code tools such as AWS CDK or CloudFormation.
• Experience developing and maintaining data or ML-focused pipelines.

Nice to have

• Experience designing scalable architectures for data-driven products.
• Experience with containerisation and orchestration technologies.
• Familiarity with statistical concepts and machine learning techniques or frameworks.
• Engagement with wider engineering communities to support recruitment and knowledge sharing.

Culture & Benefits

• Flexible 35-hour working week and support for flexible working arrangements.
• Competitive salary package with a defined pension scheme.
• 25 days annual leave with an option to buy an additional 5 days.
• Discounted dental, health care, and gym memberships.
• Inclusive environment with a strong focus on professional development and mentorship.

Hiring process

• Stage 1: A coding assessment to evaluate technical proficiency.
• Final Stage: A technical presentation and a competency-based interview focused on values and behaviours.