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- Tasks: Build AI systems to automate workflows and enhance operations.
- Company: A tech company fighting online fraud with innovative AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a small, dynamic team with fast-paced growth opportunities.
- Why this job: Make a real impact on revenue-critical processes using cutting-edge AI technology.
- Qualifications: Experience in building AI systems and collaborating with diverse teams.
The predicted salary is between 60000 - 80000 £ per year.
Building AI systems to impact revenue-critical workflows.
Size: ~600 globally, ~60 in London
Areas: agentic systems, internal AI platforms, workflow automation
Based: Holborn, London
Hybrid: 3 days a week in-office
We're partnering with a company you likely haven’t heard of by name, but have almost certainly interacted with before. Their technology helps tackle online fraud. Every time you use your debit or credit card online, their platform makes your end-to-end purchasing journey safer. They’re now investing heavily in AI across the business. A lot of internal workflows today are still manual, fragmented, and time-consuming. The goal is to replace these with AI systems and agents that automate real processes.
Responsibilities:
- Exploring where AI and automation can meaningfully improve real-world operations
- Working with users (Sales, Marketing, Legal, GTM teams) to shape requirements
- Building and delivering dependable agents, workflows, and systems end-to-end
- Balancing latency, cost, and reliability
Why this role is interesting:
- The systems are tied directly to revenue and business performance
- You’ll work on problems where AI has clear, immediate application
- There’s real ownership and visibility across the organisation
- The team is small, experienced, and moving quickly
Qualifications:
- Built or deployed production-grade agentic / LLM-based systems
- The ability to work with non-technical stakeholders
- Experience with cloud platforms (AWS / GCP)
If this sounds like you, apply to learn more about the company and the role.
Artificial Intelligence Engineer in London employer: Workonomics
Contact Detail:
Workonomics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with AI systems. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and automation. Think about how you can explain complex concepts to non-technical folks, as this is key for working with teams like Sales and Marketing.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Artificial Intelligence Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Artificial Intelligence Engineer. Highlight your experience with AI systems, especially any production-grade projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to automating workflows. We love seeing genuine enthusiasm for the role and the impact it can have.
Showcase Your Technical Skills: Don’t forget to mention your experience with cloud platforms like AWS or GCP. If you've built or deployed agentic systems, make sure to include those details. We’re looking for candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Workonomics
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially agentic and LLM-based systems. Be ready to discuss your past experiences in building or deploying these technologies, as well as how they can improve workflows.
✨Understand the Business Impact
Since this role is tied directly to revenue and business performance, it’s crucial to understand how AI can impact these areas. Prepare examples of how your work has previously contributed to business outcomes, and be ready to discuss how you can do the same here.
✨Communicate with Non-Techies
You’ll be working with various teams like Sales and Marketing, so practice explaining complex AI concepts in simple terms. Think about how you can convey technical requirements clearly to non-technical stakeholders during the interview.
✨Show Your Cloud Skills
Familiarise yourself with cloud platforms like AWS or GCP, as they’re essential for this role. Be prepared to discuss your experience with these platforms and how you’ve used them to build scalable AI solutions in the past.