Lead AI Engineer

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:

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

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 32 week of 2026