Lead AI Engineer

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 33 days.
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Kainos

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Architect, design, and deliver advanced AI solutions using state-of-the-art machine learning, generative AI, and agentic AI technologies • Drive adoption of modern AI frameworks, AI Ops best practices, and scalable cloud-native architectures • Provide hands-on technical leadership • Collaborate with customers to translate business challenges into trustworthy AI solutions • Ensure responsible AI practices throughout solution delivery • Mentor technical colleagues and foster innovation, continuous learning, and engineering excellence • Manage, coach, and develop a small number of staff • Manage employee performance and assist with career development • Provide direction and leadership for the team while solving challenging problems

🎯 Requirements

• 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 • Experience with prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using 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 • Experience with containerisation and orchestration tools such as Kubernetes and Docker • 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 and ability to lead client projects and establish requirements in non-technical language • Experience managing, coaching, and developing junior team and community members • Demonstrable experience with modern deep learning frameworks such as PyTorch and TensorFlow • Experience with fine-tuning or distillation of LLMs such as GPT, Llama, Claude, and Gemini • Experience with 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

🏖️ Benefits

• People-first culture with supported professional growth • Recruitment accommodations and adjustments available • Recruitment process tailored to individual needs through private conversation

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