Responsible AI Technical Lead

Job not on LinkedIn

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack 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 34 days.
• No salary listed.

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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

• Deliver Responsible AI assurance and testing across client engagements • Ensure generative and agentic AI services are fair, safe, explainable, and secure • Design and run evaluations, red-teaming, and bias testing • Implement guardrails and explainability techniques • Turn testing and assurance results into clear evidence • Work on high-profile government programmes to build trust in AI • Shape Kainos’s AI assurance offering through reusable tools and frameworks • Contribute to bids and support the company’s trustworthy AI reputation • Act as a Responsible AI subject matter expert across teams • Support AI adoption projects by implementing Responsible AI practices • Engage with high-level government and industry officials • Communicate Responsible AI concerns in conversations, documentation, and presentations to technical and non-technical stakeholders • Manage competing priorities and contribute to team development and engineering excellence

🎯 Requirements

• Foundational knowledge of Responsible AI in a data and AI context and how to apply it • Knowledge of Responsible AI practices, trends, and principles or experience on the delivery side • Technical experience with AI testing, dataset selection, explainability, and validation • Experience with AI assurance elements including RAGAS, red-teaming, evaluation, and meta prompting • Experience correcting AI for fairness, safety, transparency, explainability, or bias • Experience with AI safety elements including red-teaming AI services, data protection, securing RAG-based tools, third-party AI risks and mitigations, or operational resilience • Ability to solve complex problems and learn new things • Excellent communication, stakeholder engagement, project management, and collaboration skills • Experience managing, coaching, and developing junior team members and the wider community • NPPV3 clearance or ability to obtain it • Desirable: experience with machine learning fairness and toolkits • Desirable: experience with risk-based ethics and Responsible AI frameworks • Desirable: experience designing and running bias and fairness tests and mitigations • Desirable: experience creating model guardrails and ethical constraints • Desirable: experience creating citations, references, and transparency documentation • Desirable: experience validating and evidencing agentic goal alignment and behaviour drift in an ethics context • Desirable: industry or technical certifications in AI • Desirable: customer-facing experience with defence and public sector organisations • Desirable: experience shaping commercial Responsible AI offerings, winning AI work, and wider pre-sales support

🏖️ Benefits

• People-first culture • Growth and professional development support • Diversity, equity and inclusion commitment • Recruitment accommodations and adjustments

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