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The Role This post sits within the Senior Software Engineer job family and provides specialist expertise in Python and AI/ML engineering day-today. In this role, you will design, build, maintain and support robust software solutions that underpin our digital products and internal services. You will be responsible for developing and operating scalable data pipelines, APIs and cloud-native infrastructure, and for applying AI/ML techniques, including OCR, large language models and computer vision, to automate processes and improve efficiency. Working across the full delivery lifecycle, you will contribute to discovery, design, implementation, testing, deployment and ongoing support. You will collaborate closely with multidisciplinary teams, ensuring solutions are secure, reliable, maintainable and aligned to architectural and engineering standards, while continuously improving performance and user outcomes. On a typical day you will… - Design, build, and operate scalable ETL and data pipelines handling structured and unstructured data for AI/ML workloads. - Develop and maintain robust API services, including FastAPI, RESTful APIs, WebSockets, model-serving endpoints, integrating AI/ML capabilities with existing digital platforms. - Implement authentication/authorisation using JWT, OAuth 2.0, API keys, and maintain API versioning and documentation. - Deploy and operate cloud-native infrastructure using AWS Lambda, S3, RDS/Aurora, SQS, IAM, CloudWatch, with infrastructure-as-code tools: CDK, Terraform, CloudFormation. - Containerize applications using Docker, orchestrate with Kubernetes (EKS/ECS), and maintain automated CI/CD pipelines. - Implement monitoring and observability using CloudWatch, Grafana, telemetry frameworks, including experiment tracking tools like MLflow and Weights & Biases. - Research, prototype, and implement AI/ML solutions using Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO, including LoRA/QLoRA fine-tuning, RLHF, and -multi-modal AI/ML systems. - Collaborate with team members to optimize platform and AI/ML workflow performance, reliability, and scalability. - Ensure compliance with security, accessibility, performance, and operational standards. - Participate in agile ceremonies, contribute to team knowledge-sharing, and support process improvements. - Support disaster recovery procedures and maintain high-availability, resilient system standards.