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Kainos

Enterprise digital solutions and Workday deployments

Lead AI Engineer

Applied Machine LearningPosted on Nov 11
Full-timeNo salary listedRemote

About the Job

Requirements

  • A minimum 2.1 degree in Computer Science, AI, Data Science, Statistics, or a similar quantitative field.
  • Demonstrable experience deploying modern AI and machine learning solutions into production, including prompt engineering, retrieval-augmented generation, model evaluation, and monitoring with metrics such as precision, recall, NDCG, and drift detection.
  • Strong Python skills and grounding in software engineering best practices, including CI/CD, testing, and code reviews.
  • Experience developing solutions at scale on Azure and AWS cloud platforms, using containerization and orchestration tools such as Kubernetes and Docker.
  • Expertise in data engineering for AI, including handling large-scale, unstructured, and multimodal data.
  • Understanding of responsible AI principles, model interpretability, and ethical considerations.
  • Strong interpersonal skills and ability to lead client projects and establish requirements in non-technical language.
  • Experience managing, coaching, and developing junior team members and the wider community.

Responsibilities

  • Architect, design, and deliver advanced AI solutions using modern machine learning, generative AI, and agentic AI technologies.
  • Drive adoption of modern AI frameworks, AIOps best practices, and scalable cloud-native architectures.
  • Collaborate with customers to translate business challenges into trustworthy AI solutions and ensure responsible AI practices throughout delivery.
  • Mentor technical staff and foster innovation, continuous learning, and engineering excellence.
  • Manage, coach, and develop a small number of staff, focusing on employee performance and career development.
  • Provide direction and leadership for the team as it solves challenging problems.

Desired Qualifications

  • Demonstrable experience with modern deep learning frameworks such as PyTorch and TensorFlow; fine-tuning or distillation of large language models such as GPT, Llama, Claude, and Gemini; and machine learning libraries such as scikit-learn and XGBoost.
  • Experience with data storage for AI, vector databases, semantic search, and knowledge graphs.
  • Contributions to open-source AI projects or research publications.
  • Familiarity with AI security, privacy, and compliance standards such as ISO 42001.

About the Company

Kainos

Enterprise digital solutions and Workday deployments

Kainos provides digital technology solutions and Workday deployments for enterprise clients, helping organizations optimize HR and operational processes. Their approach centers on delivering Workday implementations, digital transformation, and cloud migration through consulting and partnerships, with emphasis on collaboration, security, and on-time delivery. Kainos differentiates itself by combining deep HR-focused expertise with strong customer relationships, a positive culture, and a commitment to diversity and community initiatives, aiming to help clients grow and operate more efficiently. Its goal is to help enterprises navigate modern business challenges by implementing reliable digital solutions that improve efficiency and enable sustained growth.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Belfast, United Kingdom
Founded
1986

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