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- Tasks: Develop and maintain cutting-edge AI systems and pipelines using Python.
- Company: Fast-growing tech team in London with a focus on AI innovation.
- Benefits: Competitive salary up to £90k, hybrid work, and great benefits.
- Why this job: Join a small team making real-world impact with state-of-the-art AI technologies.
- Qualifications: Strong Python skills and experience 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 employer: Oakwell Hampton Group
Contact Detail:
Oakwell Hampton Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLM pipelines or RAG systems. 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 Python and AI/ML frameworks. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨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 about their job search.
We think you need these skills to ace AI Engineer
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 your problem-solving mindset fits into our team. Keep it engaging and personal – we love to see your passion for cutting-edge technologies.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to know how you've applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Oakwell Hampton Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with AI/ML frameworks. Be ready to discuss your experience with LLM pipelines and RAG systems, as well as any cloud platforms like AWS or GCP you've worked with.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous projects. Highlight your adaptability and how you've approached challenges in developing scalable AI systems or deploying containerized solutions.
✨Understand the Company’s Vision
Research the company’s recent projects and innovations in AI. Being able to discuss how your skills align with their goals will show that you're genuinely interested and can contribute to their cutting-edge solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and their approach to AI innovation. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.