Lead AI Engineer - Belfast

Salary: £28,000 - 51,000 per year

Requirements:

• Extensive experience in software development, with proficiency in languages such as Python, Java, or C++.
• Proven experience deploying AI/ML models to production environments, with a focus on scalability, reliability, and performance.
• Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring.
• Comprehensive experience with cloud platforms such as AWS, Azure, or GCP, and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio.
• Proficiency in containerization technologies such as Docker and orchestration tools such as Kubernetes.
• Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.
• Exposure to agile software development practices and experience working in agile teams.
• Strong interpersonal skills, including the ability to collaborate with cross-functional teams and communicate effectively with technical and non-technical stakeholders.
• MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field is desirable.
• Familiarity with Workday APIs, data structures, and integration patterns is desirable.
• Experience designing and implementing generative AI solutions using large language models is desirable.
• Expertise in applying deep learning techniques to real-world problems is desirable.
• Active participation in knowledge-sharing activities such as conferences, workshops, or blogs is desirable.
• We value people who are determined, creative, honest, respectful, and cooperative.

Responsibilities:

• Bridge the gap between data science and software engineering to productionize AI and machine learning solutions.
• Work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions.
• Ensure seamless integration of AI models into production systems.
• Optimize performance and maintain the reliability of AI-driven features.
• Design and deploy cloud-based AI solutions.
• Build and manage scalable AI solutions using containerization and orchestration tools.
• Build data pipelines, perform data wrangling, and integrate AI solutions with enterprise data systems.
• Translate technical requirements into actionable solutions and communicate effectively with stakeholders.

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• GCP
• Support
• Java
• Kubernetes
• Machine Learning
• MLOps
• Python

More:

We are Kainos, a people-first company of problem solvers, innovators, and collaborators, driven by a shared mission to create real impact. In this Lead AI Engineer role within our Workday Products team, you will help productionize AI and machine learning solutions that enhance our Workday Products offerings. You will work in a diverse, ambitious team that values creativity, collaboration, and your growth. We offer a supportive, inclusive environment where ideas are valued and everyone is given an equal chance to thrive. Our friendly talent acquisition team can support candidates who require accommodations or adjustments during the recruitment process.

last updated 37 week of 2026