22 hours ago
Remote, United Kingdom +3 moreStaff+
Responsibilities
- Architect, design, and deliver advanced machine learning, generative AI, and agentic AI solutions.
- Deploy and operate production AI/ML systems using prompt engineering, retrieval-augmented generation, model evaluation, monitoring metrics, and drift detection.
- Drive adoption of modern AI frameworks, AIOps practices, and scalable cloud-native architectures.
- Develop scalable AI solutions using Azure, AWS, Kubernetes, and Docker.
- Handle large-scale, unstructured, and multimodal data for AI applications.
- Lead client projects and translate business challenges into trustworthy AI solutions in non-technical language.
- Apply responsible AI, model interpretability, ethical, security, privacy, and compliance practices.
- Provide hands-on technical leadership, mentor engineers, and manage, coach, and develop a small number of staff.
Requirements
- A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics, or a similar quantitative field.
- Demonstrable experience deploying modern AI/ML solutions into production, including prompt engineering, RAG, model evaluation, and monitoring.
- Strong Python skills and grounding in software engineering best practices, including testing, code reviews, and CI/CD.
- Experience developing solutions at scale on Azure and AWS, with containerization and orchestration using Kubernetes and Docker.
- Expertise in AI data engineering involving large-scale, unstructured, and multimodal data.
- Understanding of responsible AI principles, model interpretability, and ethical considerations.
- Strong interpersonal skills and the ability to lead client projects and establish requirements in non-technical language.
- Experience managing, coaching, and developing junior team members and the wider community.
- Desirable: experience with PyTorch, TensorFlow, LLM fine-tuning or distillation, GPT, Llama, Claude, Gemini, scikit-learn, and XGBoost.
- Desirable: experience with vector databases, semantic search, and knowledge graphs.
- Desirable: contributions to open-source AI projects or research publications.
- Desirable: familiarity with AI security, privacy, and compliance standards such as ISO42001.
Categories
About Kainos
Kainos is a Belfast-headquartered, publicly listed IT services company that designs and delivers digital services and Workday solutions for public, healthcare and commercial clients. Its business includes agile software engineering, cloud and data platforms, systems integration, and a Workday implementation and testing practice (including the Smart automated testing product). Founded in 1986 and listed on the London Stock Exchange, Kainos operates across the UK, Europe and North America.