At a Glance
- Tasks: Design and develop AI agents using cutting-edge LLM technology.
- Company: Stanton House, a forward-thinking company in Central London.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Work autonomously in a fast-paced environment with great career prospects.
- Why this job: Join a dynamic team and make a real impact in the AI field.
- Qualifications: Experience in machine learning, AI systems, and cloud platforms required.
The predicted salary is between 60000 - 80000 £ per year.
Stanton House is looking for an Interim Data Scientist / AI Engineer based in Central London. This role is critical in developing AI agent capabilities and delivering high-impact AI solutions. You will design LLM-powered systems and integrate solutions into existing business processes, ensuring you own delivery end-to-end with minimal supervision.
The ideal candidate will have strong experience in machine learning, AI systems, and cloud platforms, along with excellent communication skills to engage stakeholders.
Interim AI Engineer: Build Production GenAI & LLM Agents employer: Stanton House
Stanton House is an exceptional employer, offering a dynamic work culture in the heart of Central London that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities for professional development and the chance to work on cutting-edge AI projects that make a real impact. Our commitment to a supportive environment ensures that you can thrive while contributing to the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Interim AI Engineer: Build Production GenAI & LLM Agents
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data science community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on an interim role that’s just perfect for you.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with your projects related to AI and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with LLMs and cloud platforms. Practice common interview questions and think about how you can demonstrate your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the right fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Interim AI Engineer: Build Production GenAI & LLM Agents
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and AI systems. We want to see how your skills align with the role, 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 the role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for AI and innovation.
Showcase Your Communication Skills:Since this role involves engaging stakeholders, make sure to demonstrate your communication prowess in your application. Whether it’s through clear language in your CV or examples in your cover letter, we want to see you can convey complex ideas simply.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Stanton House
✨Know Your AI Stuff
Make sure you brush up on your machine learning and AI systems knowledge. Be ready to discuss specific projects you've worked on, especially those involving LLMs and cloud platforms. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Communication Skills
Since this role involves engaging with stakeholders, practice explaining complex AI concepts in simple terms. Prepare examples of how you've successfully communicated technical information to non-technical audiences in the past.
✨Understand the Business Impact
Research how AI solutions can drive business value. Be prepared to discuss how your work can integrate into existing processes and deliver high-impact results. This shows that you’re not just a techie but also understand the bigger picture.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions where you'll need to demonstrate your problem-solving skills. Think about challenges you've encountered in previous roles and how you overcame them, particularly in developing AI agents or systems.
