
1001 - 5000 employees
🏥 Healthcare
📣 Marketing
📦 Logistics
💰 Venture Round on 1986-04
Healthcare • Marketing • Logistics
Kainos is a technology company focused on solving real problems for its customers and enhancing business operations through innovative IT solutions. With specialties in Enterprise Content Management, Application Management Services, Systems Integration, and Digital Transformation, Kainos serves clients across various sectors including healthcare, commercial, and the public domain. Their emphasis on building strong relationships and delivering impactful solutions is reflected in their two main business areas: Digital Services and Workday Practice, aimed at improving the lives of people and the functionality of organizations globally.
🔥 19 minutes ago
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🇬🇧 UK Skilled Worker Visa Sponsor
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1001 - 5000 employees
🏥 Healthcare
📣 Marketing
📦 Logistics
💰 Venture Round on 1986-04
Healthcare • Marketing • Logistics
Kainos is a technology company focused on solving real problems for its customers and enhancing business operations through innovative IT solutions. With specialties in Enterprise Content Management, Application Management Services, Systems Integration, and Digital Transformation, Kainos serves clients across various sectors including healthcare, commercial, and the public domain. Their emphasis on building strong relationships and delivering impactful solutions is reflected in their two main business areas: Digital Services and Workday Practice, aimed at improving the lives of people and the functionality of organizations globally.
• Deliver advanced AI solutions using machine learning, generative AI, and agentic AI technologies • Drive adoption of modern AI development practices and scalable cloud-native architectures • Provide technical leadership and engage senior stakeholders on architectural principles, strategic direction, and system architecture • Foster innovation, continuous learning, and engineering excellence • Manage, coach, and develop a team • Develop standards and policies • Build enduring customer relationships and embed commercial acumen • Provide direction and leadership while solving challenging problems with the team • Lead client projects and manage C-level stakeholders • Establish requirements and architecture concepts
• Minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics, or a similar quantitative field • Proven experience leading multi-disciplinary teams to deliver high-quality AI/ML solutions • Demonstrable technical leadership experience for AI delivery, including architecture, product design principles, and engineering excellence • Deep understanding and development of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, and LLMs • Experience with prompt engineering, retrieval-augmented generation (RAG), and agentic AI • Strong Python skills and grounding in software engineering best practices, including CI/CD, testing, and code reviews • Expertise in data engineering for AI, including large-scale, unstructured, and multimodal data • Understanding of responsible AI principles, model interpretability, and ethical considerations • Strong interpersonal skills to lead client projects, manage C-level stakeholders, and establish requirements and architecture concepts • Experience managing, coaching, and developing junior team members and the wider community • Desirable: experience with PyTorch, TensorFlow, fine-tuning or distillation of LLMs, scikit-learn, and XGBoost • Desirable: experience with vector databases, semantic search, and knowledge graphs • Desirable: contributions to open-source AI projects, research publications, and industry events/websites • Familiarity with AI security, privacy, and compliance standards such as ISO 42001
• People-first culture • Growth and development support • Diversity, equity and inclusion commitment • Recruitment accommodations and adjustments • Benefits offered by Kainos (specific benefits are not listed in the posting)
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