AI Engineer - Workday Products

Salary: £55,000 - 55,000 per year

Requirements:

• Typically 2 years of relevant industry experience.
• Foundational experience in software development, with working knowledge of Python or a similar language such as Java or C++, and the ability to develop clean, maintainable code under guidance.
• Some exposure to deploying or supporting AI/ML models through academic projects, internships, or early career experience, with an interest in developing MLOps skills such as CI/CD, model versioning, and monitoring.
• Awareness of responsible AI, security, and data privacy practices, including handling sensitive data correctly, using approved tools, and raising potential risks to senior colleagues.
• Basic understanding of cloud platforms such as AWS, Azure, or GCP; exposure to cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio is a plus.
• Awareness of containerisation technologies such as Docker; exposure to orchestration tools such as Kubernetes is beneficial but not essential.
• Emerging data engineering skills, such as working with data pipelines or data wrangling, gained through coursework, internships, or personal projects.
• Some exposure to agile software development practices through internships, university projects, or previous roles.
• Good interpersonal skills, with the ability to collaborate with cross-functional teams and communicate technical ideas clearly.
• BSc in Computer Science, Machine Learning, Software Engineering, or a related field is desirable.
• Personal, academic, or internship projects demonstrating an interest in AI/ML productionisation are desirable.
• Familiarity with Workday APIs, data structures, and integration patterns is an advantage but not required.
• Exposure to generative AI concepts or tools such as OpenAI GPT or Hugging Face Transformers through coursework or self-directed learning is desirable.
• Basic awareness of deep learning concepts such as CNNs, RNNs, and Transformers gained through study or personal exploration is desirable.
• Enthusiasm for participating in team knowledge-sharing activities such as internal show-and-tells or learning sessions is desirable.

Responsibilities:

• Support the team in productionising AI and machine learning solutions.
• Work under the guidance of senior engineers to help integrate AI models into production systems.
• Collaborate closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions.
• Contribute to our Workday product offerings, including Kainos Smart, Employee Document Management, and Pay Transparency Analyzer.
• Build foundational skills in MLOps, cloud deployment, and software engineering practices.
• Help deliver real-world AI solutions that enhance our Workday products.

Technologies:

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

More:

We are Kainos, a people-first company of problem solvers, innovators, and collaborators, focused on creating real impact through digital services, Workday solutions, and technology innovation. We value diversity, equity, and inclusion, and we are committed to building a team where everyone is respected and given an equal chance to thrive. As an Associate AI Engineer in our Workday Products division, you will join a diverse and ambitious team, supported by senior engineers, and contribute to products such as Kainos Smart, Employee Document Management, and Pay Transparency Analyzer. We also support candidates with accommodations or adjustments throughout our recruitment process.

last updated 30 week of 2026