At a Glance
- Tasks: Support AI and machine learning solutions in a collaborative team environment.
- Company: Join Kainos, a people-first tech company focused on innovation.
- Benefits: Competitive salary, growth opportunities, and a diverse, inclusive culture.
- Other info: Dynamic team with excellent career growth and learning opportunities.
- Why this job: Make a real impact with cutting-edge AI technology and creative projects.
- Qualifications: Experience in software development and a passion for AI/ML.
The predicted salary is between 60000 - 80000 £ per year.
Join Kainos and shape the future. At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration.
As an Associate AI Engineer within Kainos' Workday Products division, you will support the team in productionising AI and machine learning solutions, working closely with and under the guidance of senior engineers to help integrate AI models into production systems. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product offerings.
This is an opportunity to build foundational skills in MLOps, cloud deployment, and software engineering practices while contributing to real-world AI solutions.
Essential Experience:- 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 a willingness to develop clean, maintainable code under guidance.
- Some exposure to deploying or supporting AI/ML models through academic projects, internships, or early career experience.
- Awareness of responsible AI, security, and data privacy practices.
- Basic understanding of cloud platforms (AWS, Azure, or GCP); exposure to cloud-native AI tools is a plus.
- Awareness of containerisation technologies; exposure to orchestration tools is beneficial but not essential.
- Emerging data engineering skills, such as working with data pipelines or data wrangling.
- Some exposure to agile software development practices.
- Good interpersonal skills, with enthusiasm for collaborating with cross-functional teams.
- BSc in Computer Science, Machine Learning, Software Engineering, or a related field.
- Personal, academic, or internship projects demonstrating an interest in AI/ML productionisation.
- Familiarity with Workday APIs, data structures, and integration patterns is an advantage.
- Exposure to generative AI concepts or tools through coursework or self-directed learning.
- Basic awareness of deep learning concepts gained through study or personal exploration.
- Enthusiasm for participating in team knowledge-sharing activities.
At Kainos, we believe in the power of diversity, equity, and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.
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