About this role
Salary: £90,000 - 90,000 per year
Requirements: We require extensive experience in software development, with proficiency in Python, Java, or C++.We require proven experience deploying AI/ML models to production environments with a focus on scalability, reliability, and performance.We require familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring.We require 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.We require proficiency with containerization technologies such as Docker and orchestration tools such as Kubernetes.We require strong data engineering skills, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.We require exposure to agile software development practices and experience working in agile teams.We require strong interpersonal skills and the ability to collaborate with cross-functional teams and communicate effectively with technical and non-technical stakeholders.An 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 such as OpenAI GPT or Hugging Face Transformers is desirable.Expertise in applying deep learning techniques such as CNNs, RNNs, and Transformers to real-world problems is desirable.Active participation in conferences, workshops, blogs, or other knowledge-sharing activities is desirable. Responsibilities: We bridge the gap between data science and software engineering to productionize AI and machine learning solutions.We work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions.We ensure seamless integration of AI models into production systems.We optimize performance and maintain the reliability of AI-driven features.We contribute to our Workday product offerings through AI and machine learning solutions. Technologies: AIAWSAzureCI/CDCloudDockerGCPSupportJavaKubernetesMachine LearningMLOpsPython More:
We are Kainos, a people-first company made up of problem solvers, innovators, and collaborators, focused on creating real impact through digital services, Workday solutions, and technology innovation. We offer a diverse and ambitious team culture where ideas are valued, growth is supported, and contributions make a difference. This Lead AI Engineer role sits within our Workday Practice, and we are committed to diversity, equity, and inclusion, building a team where everyone is respected, supported, and given an equal chance to thrive. We also provide a friendly talent acquisition team to support candidates throughout the recruitment process and accommodate individual needs.
last updated 31 week of 2026