At a Glance
- Tasks: Lead the integration of AI agents and drive automation across teams.
- Company: Join a major public sector body at the forefront of AI innovation.
- Benefits: Competitive day rate, hands-on experience, and impactful work.
- Other info: Dynamic role blending strategy, transformation, and hands-on AI development.
- Why this job: Shape the future of AI in a real production environment, not just theory.
- Qualifications: Experience with AI agents, digital transformation, and stakeholder management.
The predicted salary is between 70100 - 100000 £ per year.
This is a 6-month engagement based in London (3 days per week onsite), focused on shaping and scaling AI agents and copilots across a large and complex organisation. The day rate is competitive for the market and reflects the seniority and impact of the role.
Why this role stands out
- Work at the forefront of AI agents and copilots in a real production environment, not just POCs or strategy decks.
- Drive tangible automation and augmentation across business, operational, digital and data teams.
- Shape governance, best practice and AI ways of working for a major public sector body.
- Use and experiment with platforms like Microsoft Copilot, Copilot Studio, Azure AI, OpenAI GPTs and Claude.
The core of the role
- Lead the adoption and integration of AI agents across a large workforce.
- Help business areas identify high-value use cases for AI agents and workflow automation.
- Provide hands-on support to teams building and deploying agents, custom GPTs, Copilot agents and similar solutions.
- Develop reusable patterns, templates, prompts and governance frameworks to accelerate safe development.
- Establish best practices for agent design, evaluation, monitoring and continuous improvement.
- Act as a key voice on responsible AI, governance, risk management and compliance.
- Track adoption, productivity gains and business outcomes to evidence impact and ROI.
What they are looking for
- Hands-on experience building or configuring AI assistants/agents/copilots, custom GPTs or workflow automations using no-code / low-code or similar tools.
- Background leading digital transformation, innovation or AI adoption programmes.
- Solid understanding of business processes, change and stakeholder management.
- Practical experience with generative AI and large language models.
- Ability to translate business challenges into workable AI solutions, working across both technical and non-technical teams.
- A proactive, curious approach to learning, including willingness to build further skills in tools and programming (for example, Python).
Nice to have
- Experience with Microsoft Copilot, Copilot Studio, Azure AI Foundry, Power Platform or similar.
- Exposure to OpenAI GPTs/Assistants/APIs, Claude Projects/Artifacts or related ecosystems.
- Familiarity with APIs, scripting or languages such as Python to prototype or integrate AI solutions.
- Awareness of agent orchestration, prompt engineering, RAG and AI evaluation techniques.
- Experience delivering AI capability-building or upskilling programmes, particularly in the public sector.
This is not a traditional software engineering role - it sits at the intersection of strategy, transformation and hands-on AI build. It would particularly suit someone who enjoys working with stakeholders, shaping direction, and still getting close enough to the technology to make things actually work in practice.
AI Agent Enablement Lead in London employer: NonStop Consulting
Join a forward-thinking organisation in London that champions innovation and transformation through AI. As an employer, we offer a collaborative work culture that values creativity and hands-on experience, providing ample opportunities for professional growth and development in the rapidly evolving field of AI. With competitive remuneration and the chance to make a tangible impact on public sector operations, this role is perfect for those looking to drive meaningful change while working with cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Agent Enablement Lead in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like NonStop Consulting before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like NonStop Consulting.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like NonStop Consulting.
We think you need these skills to ace AI Agent Enablement Lead in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at NonStop Consulting, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to NonStop Consulting, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab NonStop Consulting’s attention and show the tangible impact of your work.
How to prepare for a job interview at NonStop Consulting
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at NonStop Consulting.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at NonStop Consulting.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at NonStop Consulting.
