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- Tasks: Build AI workflows and develop automation solutions using cutting-edge Microsoft tools.
- Company: Global organisation expanding its AI capabilities in a dynamic environment.
- Benefits: 27 days annual leave, hybrid working, competitive salary, and world-class training.
- Why this job: Join a growing team and make a real impact on transformative AI projects.
- Qualifications: 1-2 years experience in AI or automation; strong interest in generative AI.
- Other info: Great career growth opportunities in a young, innovative AI team.
The predicted salary is between 40000 - 45000 £ per year.
A global organisation in the South West is expanding its internal AI capability and is now hiring a Junior–Mid Level AI Engineer. This role is ideal for someone early in their career who is flexible, driven, and passionate about practical AI, particularly AI Agents, process automation, and generative AI. You’ll join a small, growing AI function that is investing heavily in automation and next‑generation agentic AI solutions. This is an exceptional opportunity to gain exposure to cutting‑edge Microsoft AI tools, work with external specialists, and contribute directly to high‑impact transformation projects.
What We Offer:
- 27 days annual leave (plus bank holidays)
- Hybrid working (two days in the office desired)
- Minimum 8% and up to 10% pension contribution from the business
- World class training directly from Microsoft AI subject matter experts
- Up to £45,000 per annum dependent on experience
- Career development: The AI Development team is very young at this business, and as you are joining at this early and crucial stage, you have the opportunity to grow with it, whether that is technically, or team management and strategic planning
Key Responsibilities:
- Build and maintain AI Agent workflows to automate real business processes (file creation, database population, task orchestration, etc.)
- Develop RPA solutions using Power Platform / Power Automate and Copilot Studio
- Transition solutions into more advanced environments such as Azure Fabric, Foundry, and other cloud‑based AI services when low‑code tools reach limitations
- Collaborate with internal stakeholders to understand business challenges and translate them into AI‑driven solutions
- Work with external development partners and technical vendors
- Deliver at least one major AI project while supporting smaller initiatives depending on workload
- Contribute to internal AI adoption by demonstrating the value of automated and agent‑based solutions
What We’re Looking For:
- A motivated, adaptable, and curious individual with a strong interest in AI Agents, generative AI, and automation
- Someone who is keen to learn and comfortable diving into new technologies quickly
Ideal Background:
- Around 1-2 years’ commercial experience in AI, ML, automation, or related engineering
- Degree in Computer Science, AI, Data Science, or similar (helpful but not essential)
- Strong interest in agentic systems that interact with processes, APIs, data sources, and business workflows
- Familiarity with the Microsoft technology stack, ideally including: Power Platform / Power Automate, Copilot Studio, Azure AI Services, Fabric, or similar
- Ability to quickly pick up new concepts and technologies
- Comfortable working in an agile, fast‑moving environment
- Confident communicator with the ability to explain technical work clearly
Beneficial (not required):
- Python
- LangChain or Semantic Kernel
- Experience with cloud platforms (Azure, AWS, Google)
AI Engineer in London employer: Insight Talent Partners
Contact Detail:
Insight Talent Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI Agents or automation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and tools mentioned in the job description. Be ready to discuss how you've used technologies like Power Platform or Azure in your past work or projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight any projects or experiences related to AI Agents, automation, or Microsoft tools to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for AI and how you can contribute to our team. Share specific examples of your work and why you're excited about this opportunity at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention any relevant technical skills, especially with Microsoft technologies like Power Platform or Azure. We love seeing candidates who are eager to dive into new tech and learn on the job!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen to join the StudySmarter family!
How to prepare for a job interview at Insight Talent Partners
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI Agents, generative AI, and automation. Be ready to discuss how you've used these technologies in the past or how you plan to apply them in this role. Familiarity with Microsoft tools like Power Platform and Azure will definitely give you an edge!
✨Show Your Flexibility
This role is all about adaptability, so be prepared to share examples of how you've tackled new challenges or learned new technologies quickly. Highlight any experiences where you've had to pivot or adjust your approach to meet project demands.
✨Communicate Clearly
As a confident communicator, you’ll need to explain complex technical concepts in simple terms. Practice articulating your thoughts on AI solutions and how they can solve business problems. This will show that you can collaborate effectively with both technical and non-technical stakeholders.
✨Demonstrate Your Passion
Let your enthusiasm for AI shine through! Share what excites you about working in this field and how you stay updated on the latest trends and technologies. Showing genuine interest can set you apart from other candidates.