At a Glance
- Tasks: Lead AI engineering practices and transform software development at Skin Analytics.
- Company: Join an award-winning health tech company on a mission to eliminate skin cancer deaths.
- Benefits: Competitive salary, share options, private healthcare, and generous leave policies.
- Other info: Dynamic team culture with a focus on diversity, learning, and fun social activities.
- Why this job: Make a real impact in healthcare by leveraging cutting-edge AI technology.
- Qualifications: Strong software engineering background and hands-on experience with modern AI tools.
The predicted salary is between 72000 - 88000 £ per year.
Want to join a team of passionate people who want to build a future where no one dies from skin cancer?
About us
Skin 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. This is a highly hands-on role. We are looking for someone who actively uses modern AI engineering tools every day and has practical experience delivering real software using agentic workflows.
Responsibilities
- AI Engineering Enablement
- Lead 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 Leadership
- Partner 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 Development
- Build and maintain internal AI agents and automation solutions, integrating capabilities into our platforms and workflows.
- Evaluate and implement emerging AI tools and technologies.
- Develop reusable prompts, workflows, agent architectures and engineering accelerators.
- Work closely with Platform, DevOps and Security teams to ensure safe and scalable adoption.
- Strategic Innovation
- Help shape Skin Analytics’ AI strategy across Engineering and the wider business.
- Evaluate emerging technologies and identify opportunities for competitive advantage.
- Work with leadership to prioritise AI initiatives based on business impact.
- Support the wider organisation in understanding how AI can improve operational efficiency.
Required experience
- Leadership and Communication
- Ability to influence technical and non-technical stakeholders.
- Experience driving engineering transformation initiatives.
- Strong coaching and mentoring skills.
- Excellent communication and presentation abilities.
- Comfortable working across multiple teams and disciplines.
- AI and Agentic Engineering
- Extensive 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.
- Deep understanding of prompt engineering, context management and agent orchestration techniques.
- Experience evaluating AI tooling and measuring productivity outcomes.
- Understanding of AI governance, security and risk management considerations.
- Software Engineering
- Strong 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.
- Experience working within CI/CD environments.
Benefits
- Competitive salary
- Share 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 scheme
- Bike 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!
Our Values
- Building a Strong Foundation
- Always Learning
- Lead from the Front
- Tough and Resilient
Skin 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. The more inclusive we are, the better our work will be. If you need any adjustments during our hiring process, you can indicate that at the next step.
AI usage in our hiring process
If you submit an application to us, you will consent to AI playing a role in your hiring process. No hiring decision is ever made by an algorithm alone. Every AI-generated summary, screening result, or note is reviewed, verified, and, if necessary, corrected by a member of our recruitment team. Humans make the final call on who moves forward and who receives an offer.
AI Enablement Engineer in London employer: Skin Analytics
Skin Analytics is an exceptional employer, dedicated to creating a future where no one dies from skin cancer. Located in Farringdon, London, we offer a vibrant work culture that fosters collaboration and innovation, alongside competitive benefits such as private healthcare, share options, and generous annual leave. As a Junior Support Agent, you'll gain invaluable experience in a fast-paced environment while contributing to meaningful healthcare advancements, with ample opportunities for personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enablement Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Skin Analytics or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Skin Analytics.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Skin Analytics.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Skin Analytics that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Enablement Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Skin Analytics.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Skin Analytics and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Skin Analytics
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Skin Analytics uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
