At a Glance
- Tasks: Build innovative AI systems for enterprise clients using cutting-edge technologies.
- Company: Dynamic tech firm focused on practical AI solutions.
- Benefits: Competitive pay, flexible working, and opportunities for skill development.
- Other info: Exciting projects with potential for career advancement.
- Why this job: Join a hands-on role and make a real impact in the AI field.
- Qualifications: Experience in AI engineering and coding for production environments.
The predicted salary is between 60000 - 80000 € per year.
An experienced AI Engineer is required for an Outside IR35 contract. This is a hands-on role building greenfield AI systems for enterprise clients. The successful candidate will design and deploy practical applications using LLMs, RAG, vector databases, and agentic workflows. This is not a research position. The engineer must be able to write production-ready code, integrate with existing systems.
SC Cleared AI Engineer in London employer: Employer near you
As an SC Cleared AI Engineer with us, you'll be part of a dynamic team dedicated to pioneering innovative AI solutions for enterprise clients. We pride ourselves on fostering a collaborative work culture that encourages professional growth and offers unique opportunities to work on cutting-edge projects in a supportive environment. Located in a vibrant area, our company provides competitive benefits and a commitment to employee development, making it an excellent choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. Sometimes, a friendly chat can lead to job openings that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving LLMs and vector databases. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice writing production-ready code and be ready to discuss how you've integrated AI systems in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace SC Cleared AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI systems and production-ready code. We want to see how your skills align with the hands-on nature of the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your experience with LLMs, RAG, and vector databases, and how you can contribute to building greenfield AI systems.
Showcase Your Technical Skills:In your application, be sure to include specific examples of your technical skills. We’re looking for engineers who can write production-ready code, so share any relevant projects or experiences that demonstrate your coding prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Employer near you
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like LLMs and vector databases. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Hands-On Experience
Since this role is all about building greenfield AI systems, prepare examples of your previous work. Be ready to explain your thought process and the practical applications of your projects, focusing on how they benefited enterprise clients.
✨Prepare for Practical Coding Challenges
Expect to demonstrate your coding abilities during the interview. Practice writing production-ready code and think through how you would integrate new systems with existing ones. Familiarise yourself with common coding challenges related to AI engineering.
✨Understand the Business Context
This isn’t just a technical role; understanding the business implications of your work is crucial. Research the company’s clients and their industries, and be prepared to discuss how your AI solutions can drive value for them.
