Salary: £35,000 - 55,000 per year Requirements: Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience Proven experience in software engineering with a focus on automation and AI applications Hands-on expertise with AWS Bedrock, AWS Quicksuite, and AWS SageMaker Strong programming skills in Python, Java, or similar languages commonly used for AI and automation Experience in designing and operationalizing machine learning models in a production environment Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders Familiarity with airline operations or network control systems Knowledge of DevOps practices and infrastructure as code Experience with cloud security and data governance Responsibilities: Design, develop, and implement automation solutions and AI-driven applications to optimize network control processes Utilize AWS Bedrock, AWS Quicksuite, and AWS SageMaker to build, deploy, and maintain scalable machine learning and automation pipelines Collaborate with cross-functional teams, including operations, data science, and product, to define requirements and deliver robust solutions Monitor, troubleshoot, and enhance existing automation and AI systems to ensure high availability and performance Stay abreast of new AWS features and emerging technologies in automation and AI, applying best practices to drive continuous improvement Technologies: AI AWS Cloud DevOps Java Machine Learning Network Python Security More: We are seeking a Tech Lead for AWS Connect AI based in Luton, UK, to join our dynamic team on a hybrid work model. This 6-month role offers an opportunity to design and implement innovative solutions that optimize our network control processes. You will collaborate closely with cross-functional teams and will have the chance to work with cutting-edge AWS technologies. We provide a supportive environment that fosters continuous learning and improvement. last updated 8 week of 2026