AI Transformation Lead

SUMMARY:
Psybergate is an IT company that builds bespoke software solutions and provides highly skilled resources to its clients.
We are currently recruiting an AI Transformation Lead to join a large-scale Health-focused Data Science environment on a hybrid basis.

This is a newly created senior leadership role responsible for leading the production, operation, and maintenance of AI and Machine Learning solutions.
The role is heavily focused on AI operations, MLOps, and live production systems.

POSITION INFO:
What you will be doing:

• Lead and mentor a cross-functional squad of engineers, developers, analysts, and data scientists.
• Drive Agile delivery practices to ensure timely, high-quality deployment of AI solutions.
• Own the technical roadmap for AI production, including MLOps, LLMOps, and scalable cloud infrastructure.
• Oversee architectural decisions related to model deployment, data pipelines, and cloud-native solutions.
• Translate AI and data science prototypes into production-ready applications.
• Implement monitoring, alerting, and incident response processes for AI systems in production.
• Champion best practices in CI/CD, testing, observability, and operational resilience for ML and LLM solutions.
• Collaborate with platform and infrastructure teams to ensure seamless system integration and scalability.
• Influence the velocity, reliability, and quality of AI delivery across the organisation.
• Represent the AI Enablement capability in strategic forums and contribute to organisation-wide innovation.

• Master’s degree in computer science, Engineering, or a related field. (*Transcript Required)
• 12+ years’ experience in software engineering, data engineering, or AI production environments.
• Minimum 4 years’ experience in Machine Learning
• Proven delivery of at least 3 large AI projects into production
• Strong hands-on AI Operations and MLOps experience
• Cloud platform experience (GCP preferred, other platforms considered)
• Strong leadership and stakeholder interfacing capability
• Proven experience leading technical teams and delivering complex, enterprise-scale solutions.
• Advanced proficiency in Python, SQL, and cloud-native development.
• Hands-on experience with CI/CD pipelines, containerisation (Docker, Kubernetes), and infrastructure-as-code.
• Strong system design, architectural, and problem-solving skills.
• Excellent communication skills with the ability to articulate complex technical concepts clearly to diverse stakeholders.
• Ownership mindset with resilience, adaptability, and a results-driven approach.

• Postgraduate qualification in AI, Data Science, or Systems Engineering.
• Exposure to platforms and tools such as Vertex AI, BigQuery, Cloud Composer, and Kubeflow.