About usSkin Analytics is an award-winning, health tech company that deploys world-leading skin cancer pathways using AI as a medical device, DERM.Following our recent 15M series B funding, regulatory milestones hit, and doubling from 50 to 100 headcount in 2025, we're ready to scale further internationally, making history for AI in healthcare and the future of dermatology. We're proud to epitomise AI for good - with a Class III CE mark, DERM is the only AI as a medical device approved to make clinical decisions autonomously in the cancer space, as well as being the first company to receive a NICE recommendation for use across the NHS.*DERM is deployed at more than 28 NHS organisations where we enable patients to gain significantly quicker access to skin cancer diagnosis. If that's not enough, we also collaborate with some of the largest health insurers to reach patients in their own homes. We are looking for an exceptional Senior AI Enablement Engineer to help transform the way Skin Analytics builds software. This is a senior role, reporting into our VP of Technology, focused on enabling engineers, teams and the wider business to maximise the value of AI-assisted and agentic software development. You will work alongside Engineering Managers, Senior Engineers, Product teams and business stakeholders to identify opportunities for AI-driven automation and productivity improvements across the entire software development lifecycle. You will help define the future engineering operating model at Skin Analytics, introducing new tools, workflows, agents and ways of working that allow our teams to deliver more value with greater quality and speed. We are looking for someone who actively uses modern AI engineering tools every day and has practical experience delivering real software using agentic workflows. ResponsibilitiesAI Engineering EnablementLead the adoption of AI-assisted engineering practices across the organisation. Identify opportunities to automate software delivery processes using AI and agentic tooling. Design and implement AI-enabled workflows covering requirements, design, implementation, testing, documentation, deployment and support. Act as the subject matter expert for AI-assisted software engineering. Create standards, patterns and best practices for the use of AI within Engineering. Technical LeadershipPartner with Engineering Managers and Senior Engineers to improve team productivity and effectiveness, whilst maintaining quality and regulatory compliance. Coach, mentor and train engineers in the practical use of AI tooling. Establish metrics to measure the impact of AI tooling and automation initiatives. Agentic Systems DevelopmentBuild and maintain internal AI agents and automation solutions, integrating capabilities into our platforms and workflows. Evaluate and implement emerging AI tools and technologies. Work closely with Platform, DevOps and Security teams to ensure safe and scalable adoption. Strategic InnovationHelp shape Skin Analytics' AI strategy across Engineering and the wider business. Work with leadership to prioritise AI initiatives based on business impact. Support the wider organisation in understanding how AI can improve operational efficiency. Experience driving engineering transformation initiatives. Strong coaching and mentoring skills. AI and Agentic EngineeringExtensive hands-on experience with modern AI engineering tools such as Claude Code, Codex, Gemini, Cursor, Windsurf or equivalent. Experience designing and implementing agentic workflows into software delivery processes. Experience evaluating AI tooling and measuring productivity outcomes. Understanding of AI governance, security and risk management considerations. Software EngineeringStrong software engineering background with significant experience building production systems. Experience with JavaScript, TypeScript, Node.js, Cloud platforms such as AWS and Git-based development workflows. Understanding of software architecture and system design. Competitive salaryShare options package - all our employees have ownership in the company Private healthcare Company pension incl. salary sacrifice options 25 days annual leave + 5 day company shutdown in August + bank holidays Enhanced parental leave - includes adoption & foster Yellownest Salary Sacrifice Nursery Scheme - save with workplace nursery schemeBike to work scheme Training budget Weekly catch-ups, monthly meetings to talk about you, your ambitions and work on your development Lots of fun social activities! Building a Strong Foundation Always Learning Lead from the Front Tough and ResilientThe Real StuffSkin Analytics embraces and is committed to diversity and equal opportunities. We are dedicated to building a team that represents a variety of backgrounds, perspectives, and skills. AI usage in our hiring processIf you submit an application to us, you will consent to AI playing a role in your hiring process. Every AI-generated summary, screening result, or note is reviewed, verified, and, if necessary, corrected by a member of our recruitment team. You can find more information about how we use AI in our hiring process here.
AI Engineer/Specialist in London employer: Skin Analytics
At Skin Analytics, we are not just a health tech company; we are a passionate team dedicated to eradicating skin cancer through innovative AI solutions. Our vibrant work culture fosters collaboration and continuous learning, while our commitment to employee growth is reflected in our generous training budget and regular development discussions. With competitive salaries, share options, and a range of benefits including private healthcare and enhanced parental leave, we offer a rewarding environment for those looking to make a meaningful impact in healthcare.
