At a Glance
- Tasks: Lead hands-on AI workshops and coach teams to build their own AI solutions.
- Company: Join a large international business at the forefront of AI technology.
- Benefits: Competitive salary, strong potential for contract extension, and executive support.
- Other info: Work hybrid in South West London with opportunities for career growth.
- Why this job: Shape AI adoption and make a real impact in a dynamic tech environment.
- Qualifications: Experience in coaching technical teams and a background in software or AI engineering.
The predicted salary is between 72000 - 88000 £ per year.
Hybrid (South West London, UK) Fixed-term contract, 12 months with strong potential for extension | Technology (AI Enablement) | Full-time, two days per week on-site
About the role
You will help engineering, product and technology teams at a large international business move from experimenting with AI to using it day to day. This is a newly created role in a heavily regulated sector, and the focus is on enabling teams to build, deploy and govern AI solutions themselves, not on building them for the business. It suits an experienced technologist who has moved into coaching or enablement and who judges success by whether people leave a workshop having built something. You will be on-site in South West London two days per week.
What you’ll be doing
- Run hands-on AI workshops where teams build working solutions during the session
- Coach engineering and product teams on identifying and prioritising AI use cases
- Help teams understand and implement AI agents, RAG, LLMs, prompt engineering and automation tools
- Create training content, learning modules and enablement programmes, and assess capability gaps
- Support teams from idea through to production deployment
- Embed best practice in governance, security, compliance and responsible AI use
- Work with senior stakeholders to drive adoption, and help developers get more from tools such as GitHub Copilot and Cursor
What we’re looking for
Essential:
- Experience training, enabling and coaching technical teams
- A background in software engineering, data engineering, AI engineering, solutions architecture, platform engineering or DevOps
- A strong understanding of production AI solutions, with hands-on experience of AI agents, RAG, LLMs, APIs, MCP and automation platforms
- Experience delivering workshops where attendees build working solutions themselves
- The ability to explain technical concepts to technical and non-technical audiences
- A strong understanding of the SDLC, governance and delivery processes, and the confidence to influence stakeholders at all levels
Desirable:
- Coding knowledge in Python and SQL
- Experience in regulated environments such as financial services, fintech or gaming, and with AWS
- Vector databases, embeddings, semantic search, GitHub Copilot, Cursor or low-code tools such as n8n
- Experience delivering enablement programmes across large or international organisations
What you get
- The chance to shape AI adoption across a technology function of over 1,000 people
- Visibility and influence across engineering and leadership teams
- Work with modern AI platforms and tooling
- Strong executive support in a business investing heavily in AI
- A 12-month contract with strong potential for extension or a longer-term role
This role suits an experienced software, data or AI practitioner who gets as much satisfaction from helping others build as from building themselves.
AI Enablement Lead in London employer: Myn
Myn is an exceptional employer, offering a nurturing and supportive work environment for Nursery Room Leaders in Bristol. With generous benefits such as 33 days of annual leave, flexible working options, and extensive family and wellbeing support, employees are encouraged to thrive both personally and professionally. The company prioritises employee growth through tailored training and progression opportunities, making it a rewarding place to build a meaningful career in early years education.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enablement Lead 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 Myn 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 Myn.
✨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 Myn.
✨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 Myn 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 Lead 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 Myn.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Myn 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 Myn
✨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 Myn 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.
