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For Companies At a Glance
- Tasks: Develop and maintain cutting-edge AI systems and pipelines.
- Company: Fast-growing tech team in London with a focus on innovation.
- Benefits: Competitive salary up to £90k, hybrid work, and great perks.
- Why this job: Join a small team making real-world impact with AI technology.
- Qualifications: Strong Python skills and familiarity with AI/ML frameworks required.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 90000 - 90000 £ per year.
We’re looking for a talented AI Engineer to join a fast-growing London team working on cutting-edge AI solutions. You’ll help build and scale large language model (LLM) pipelines, RAG systems, and production-ready AI platforms.
What You’ll Do
- Develop and maintain Python-based LLM / RAG pipelines.
- Design and deploy scalable AI systems in production.
- Collaborate on cloud deployments (AWS, GCP) and containerized solutions (Docker, Kubernetes).
- Contribute to architecture decisions for innovative AI solutions.
- Work closely with a small, high-impact team delivering real-world AI products.
What We’re Looking For
- Strong Python experience and familiarity with AI/ML frameworks.
- Hands-on experience with LLM pipelines, embeddings, and RAG systems.
- Experience with cloud platforms (AWS, GCP) and containerization is a plus.
- Degree in Computer Science or equivalent practical experience.
- Problem-solving mindset, adaptable, and excited to work on bleeding-edge AI technologies.
Why Join Us
- Hybrid London office (3 days on-site).
- Competitive salary up to £90k + benefits.
- Be part of a small, agile team driving real AI innovation.
- Opportunity to work with state-of-the-art AI systems in real-world applications.
Think this could be your next move? Apply now!
AI Engineer in City of London employer: Oakwell Hampton Group
Contact Detail:
Oakwell Hampton Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at meetups. 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 LLM pipelines or cloud deployments. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practise explaining your thought process clearly; it’s all about showing how you tackle problems.
✨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!
We think you need these skills to ace AI Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any hands-on work with LLM pipelines or RAG systems. We want to see how your skills match up with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about AI and how you can contribute to our team. Share specific examples of your past work that align with the role, and let your passion for cutting-edge technology come through.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex problems, especially in AI or ML contexts. We love candidates who are adaptable and can think on their feet, so share those experiences that demonstrate your problem-solving mindset!
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 shows us you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Oakwell Hampton Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python-based LLM and RAG pipelines, as well as any projects you've worked on that showcase your coding prowess.
✨Familiarise Yourself with AI/ML Frameworks
Get comfortable with the AI/ML frameworks relevant to the role. Be prepared to talk about how you've used these frameworks in past projects, and think of specific examples where you've implemented them successfully.
✨Cloud and Container Knowledge is Key
Since the job involves cloud deployments and containerization, make sure you know your way around AWS, GCP, Docker, and Kubernetes. Have examples ready of how you've used these technologies in real-world applications.
✨Show Your Problem-Solving Skills
During the interview, highlight your problem-solving mindset. Share stories of challenges you've faced in previous roles and how you adapted to overcome them, especially in the context of AI technologies.