Senior Software Engineer | Python | Outside IR35 | Remote

Cloud, Data & AI Platforms

We are supporting a consultancy with a substantial UK portfolio as it accelerates its digital, data and AI capability. As part of a wider transformation programme, we’re looking for a Senior Software Engineer to help design and deliver scalable cloud-native platforms, with increasing adoption of AI and machine learning to drive smarter decision-making.

This is a senior, hands-on role within a multidisciplinary engineering environment, blending modern software delivery, cloud platform engineering and emerging AI/ML integration.

The Role

As a Senior Software Engineer, you will contribute to the design and build of robust digital and data services, while enabling the integration of AI/ML capabilities into core platforms. You’ll work closely with data engineers, data scientists and product teams to ensure models and analytics solutions are production-ready, scalable and secure.

Alongside core software engineering responsibilities, you’ll help shape how AI-driven services are deployed, monitored and maintained within a well-architected cloud environment.

Key Responsibilities

• Design and develop full-stack, cloud-native applications and services.
• Contribute to platform and solution architecture within Kubernetes-based environments.
• Integrate AI/ML models into production systems, ensuring scalability and reliability.
• Support the development of CI/CD pipelines for both software and ML workflows (MLOps).
• Implement infrastructure as code using Terraform or equivalent tooling.
• Collaborate with data teams to productionise analytics and machine learning use cases.
• Ensure security, governance and best practice across AWS or Azure environments.
• Contribute to Agile delivery planning and continuous improvement initiatives.

Essential

• 5+ years’ experience in a Senior Software or Full Stack Engineering role.
• Strong hands-on development experience with Python and/or TypeScript.
• Experience working within AWS or Azure cloud environments.
• Proven experience implementing CI/CD pipelines and infrastructure as code.
• Strong understanding of microservices and containerised (Kubernetes) architectures.
• Experience delivering services across the full lifecycle from design through to operation.
• Experience collaborating with data or analytics teams in a production environment.

Desirable

• Experience integrating or deploying AI/ML models into live systems.
• Exposure to MLOps tooling and ML lifecycle management practices.
• Experience modernising legacy systems into cloud-native architectures.
• Experience working within large, complex or asset-intensive organisations.

The Details

• Contract role
• Remote
• £550 – £600p/d
• Outside IR35

If you’re a senior engineer who enjoys building scalable cloud platforms and wants to help embed AI and machine learning into real-world services, I’d be keen to speak with you.