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- Tasks: Design and deploy custom AI agents for enterprise clients while solving complex business challenges.
- Company: Join a high-growth, Series-funded AI scale-up transforming data science for global organisations.
- Benefits: Enjoy a competitive salary, hybrid working, and the chance to work with a world-class team.
- Why this job: Be at the forefront of AI innovation, impacting Fortune 500 companies and pushing boundaries in technology.
- Qualifications: Strong foundation in data science, hands-on AI tools experience, and a collaborative mindset are essential.
- Other info: This role offers immediate impact in a fast-paced, mission-driven environment.
The predicted salary is between 60000 - 85000 £ per year.
AI Engineer – Junior to Mid-Level | £60,000–£85,000+ Hybrid (2 Days Onsite) | London | Series-Funded AI Scale-Up
Are you ready to build the future of enterprise AI?
Join one of Europe’s most exciting AI companies, a Series-funded, high-growth scale-up that’s changing how global organisations use data science. We’re building always-on AI agents that act as digital workers, trusted by world-class clients like Cisco, Johnson & Johnson, and Canon to deliver insights 10x faster, at a tenth of the cost.
Now, we’re on the lookout for ambitious AI Engineers (Junior to Mid-Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs, and more, while also applying real data science, ML, and MLOps skills in live enterprise environments.
What You’ll Do:
- Work directly with enterprise clients to design and deploy custom AI agents
- Tackle complex business problems with intelligent, scalable solutions
- Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML
- Be part of a mission-driven team that’s pushing boundaries in autonomous AI
What You’ll Need:
- A strong foundation in data science and machine learning
- Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows)
- Curiosity and eagerness to learn in a fast-moving AI landscape
- Experience collaborating with stakeholders and translating business problems into technical solutions
What You’ll Get:
- £60,000–£85,000 salary depending on experience
- Work with a world-class team on bleeding-edge AI problems
- Hybrid working – 2 days/week in our central London office
- Backed by leading investors and growing fast—your work will have immediate impact
- Build products that are already transforming Fortune 500 companies
This isn’t just another AI role. It’s a chance to be at the core of AI transformation in one of the UK’s most exciting tech companies.
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AI Engineer (UK) employer: Space Executive
Contact Detail:
Space Executive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (UK)
✨Tip Number 1
Familiarise yourself with the latest AI tools and technologies mentioned in the job description, such as LLMs, RAGs, and LangChain. Being able to discuss these tools confidently during your interview will show your genuine interest and readiness for the role.
✨Tip Number 2
Prepare examples of how you've tackled complex business problems using AI or data science in previous projects. This will help you demonstrate your problem-solving skills and ability to translate business needs into technical solutions.
✨Tip Number 3
Research the company’s current projects and clients, like Cisco and Johnson & Johnson. Understanding their work will allow you to ask insightful questions during the interview and show that you're genuinely interested in contributing to their mission.
✨Tip Number 4
Network with professionals in the AI field, especially those who have experience in enterprise environments. Engaging with industry peers can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace AI Engineer (UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and machine learning. Include specific projects or tools you've worked with, especially those mentioned in the job description like LLMs and RAGs.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your eagerness to learn. Mention how your skills align with the company's mission and the specific role of AI Engineer.
Showcase Your Technical Skills: In your application, emphasise your hands-on experience with modern AI tools. Provide examples of how you've tackled complex problems using these technologies in previous roles or projects.
Highlight Collaboration Experience: Since the role involves working with enterprise clients, mention any past experiences where you collaborated with stakeholders. Explain how you translated business needs into technical solutions, as this is crucial for the position.
How to prepare for a job interview at Space Executive
✨Showcase Your Technical Skills
Make sure to highlight your experience with modern AI tools like LLMs, RAGs, and co-pilots. Be prepared to discuss specific projects where you've applied these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Since the role involves translating business problems into technical solutions, research the company’s clients and their industries. This will help you articulate how your skills can address their specific challenges during the interview.
✨Demonstrate Curiosity and Eagerness to Learn
The AI landscape is constantly evolving, so express your enthusiasm for learning new technologies and methodologies. Share examples of how you've kept up with industry trends or pursued additional training in AI and machine learning.
✨Prepare for Problem-Solving Questions
Expect to tackle complex business problems during the interview. Practice articulating your thought process when approaching a problem, and be ready to discuss how you would design and deploy custom AI agents for real-world applications.
