At a Glance
- Tasks: Create and deploy innovative AI solutions for enterprise clients using cutting-edge technology.
- Company: Fast-growing AI product company with a focus on LLM-powered solutions.
- Benefits: Competitive daily rate, hybrid work model, and opportunity to work on impactful projects.
- Other info: Initial 6-month contract with potential for growth in a vibrant tech environment.
- Why this job: Join a dynamic team and shape the future of AI in real-world applications.
- Qualifications: Strong Python skills and experience with AI/LLM systems required.
Contract Forward Deployed AI Engineer Outside IR35 | 6 months | Hybrid London | £600–£750/day
SR2 are partnering with a fast-growing AI product company deploying LLM-powered solutions into enterprise customers. They are looking for a hands-on Forward Deployed AI Engineer to work closely with clients, understand business problems, and turn requirements into practical AI solutions.
- Building, prototyping and deploying AI/LLM products
- Using Python, LLMs, RAG, embeddings and vector databases
- Strong Python engineering experience
- Production experience with AI/LLM systems
- Hands-on RAG, prompt engineering, embeddings or vector database experience
Pay range and compensation package:
- Contract: Initial 6 months
- Location: Hybrid London
Ai Engineer (Contract) in London employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join a dynamic and innovative AI product company that values creativity and collaboration, offering a hybrid work environment in the vibrant city of London. As a Forward Deployed AI Engineer, you'll have the opportunity to work on cutting-edge LLM-powered solutions while enjoying competitive daily rates and the chance to grow your skills in a fast-paced, supportive culture that prioritises employee development and meaningful contributions to client success.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Ai Engineer (Contract) in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and Python. This is your chance to demonstrate what you can do beyond the CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to AI and Python. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Ai Engineer (Contract) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and AI/LLM systems. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for AI and problem-solving.
Showcase Your Hands-On Experience:Since this role is all about practical solutions, make sure to mention any hands-on projects you've worked on. Whether it's building prototypes or deploying AI products, we want to know what you've done in real-world scenarios.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and LLMs before the interview. Be ready to discuss your hands-on experience with Python, RAG, prompt engineering, and vector databases. The more specific examples you can provide about your past projects, the better!
✨Understand the Business Side
Since this role involves working closely with clients, it’s crucial to understand how AI solutions can solve real business problems. Research the company’s clients and think about how your skills can help them. This will show that you’re not just technically savvy but also business-minded.
✨Prepare for Practical Scenarios
Expect to face practical scenarios during the interview where you’ll need to demonstrate your problem-solving skills. Think through potential challenges you might encounter when deploying AI solutions and be ready to discuss how you would tackle them.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you’ll be working on, or how success is measured in this role. This shows your genuine interest and helps you gauge if the company is the right fit for you.
