Automation; AI) Technical Lead

The League of Companies is seeking an experienced Automation Technical Lead to support the AI/ML operational and platform engineering functions of a leading financial services organisation.

This contract role will provide technical leadership across the AI/ML technology landscape, driving the adoption of AI platforms, engineering best practices and innovative solutions across business units while ensuring operational excellence, security and scalability.

• Provide technical investigation, analysis and troubleshooting across AI/ML technology stacks, frameworks and infrastructure
• Provide technical leadership and mentoring to AI Engineering, Data Engineering and Platform teams
• Drive the enablement and adoption of AI/ML platforms, tooling and engineering best practices across the organisation
• Provide architecture guidance and technical oversight for AI/ML solution design, implementation and optimisation
• Evaluate, select and integrate AI/ML tools, frameworks and cloud services
• Establish monitoring, logging and observability standards for AI/ML systems and models
• Identify opportunities to optimise model performance, platform capability and infrastructure efficiency
• Partner with architects and business stakeholders to translate business requirements into practical AI/ML solutions
• Support cloud-native and containerised environments, including Kubernetes and serverless platforms
• Ensure security, governance and compliance requirements are embedded across AI/ML solutions
• Promote innovation through the evaluation of emerging AI/ML technologies, frameworks and industry best practices

• 10+ years' experience in IT, software engineering, data science or related technology disciplines
• 5+ years' experience working with AI/ML technologies, platforms and production solutions
• 3+ years' experience in a technical leadership, architecture or senior engineering role
• Experience designing and implementing large-scale AI/ML solutions and platforms
• Strong experience with cloud platforms and cloud-native architectures
• Knowledge of AI/ML frameworks including Tensor Flow, PyTorch, scikit-learn and XGBoost
• Experience with AI/ML platforms such as Azure AI, AWS Sage Maker, Google Vertex AI and Databricks
• Knowledge of Generative AI, Large Language Models (LLMs), RAG, prompt engineering and LLMOps concepts
• Experience with Kubernetes, Docker, Dev Ops practices, CI/CD pipelines and containerised deployments
• Knowledge of MLOps practices, model lifecycle management and deployment tooling
• Experience with monitoring, logging and observability platforms
• Strong programming capability across Python, Java, Scala and SQL
• Understanding of data governance, security, compliance and responsible AI principles
• BSc degree in Computer Science, Data Science, Mathematics or a related discipline, or equivalent professional experience

Experience with in financial services or other regulated environments, together with expertise in data engineering, ETL tooling, distributed computing, observability platforms and enterprise AI adoption, will be advantageous.

This opportunity is suited to someone who can bridge AI/ML engineering, platform operations and business value, deliver scalable, secure and production-ready AI capabilities while driving technology innovation across the organisation.