At a Glance
- Tasks: Join a fast-paced team to develop AI solutions and collaborate with investment experts.
- Company: Dynamic tech firm at the forefront of AI innovation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: 12-month contract with potential for career advancement.
- Why this job: Be part of groundbreaking AI projects that shape the future.
- Qualifications: Strong software engineering skills and a passion for AI technology.
The predicted salary is between 60000 - 80000 £ per year.
Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply. Good luck.
Software Engineering background is required.
Location: London, UK | Hybrid - 3 days in office - 12-month contract (Inside IR35)
We are seeking an AI Engineer (Forward Deployed) with a Software Engineering background to join a fast-moving team working across AI platform engineering and direct collaboration with the Investment Team.
The role is split approximately 60/40 between platform engineering and other responsibilities.
AI Engineer (Forward Deployed) with Software Engineering background in London employer: McCabe & Barton
Join a dynamic and innovative team in London, where your expertise as an AI Engineer will be valued and nurtured. We offer a hybrid work model that promotes flexibility, alongside a collaborative culture that encourages professional growth and development. With access to cutting-edge technology and the opportunity to work closely with investment teams, you'll find meaningful and rewarding employment in a forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Forward Deployed) with Software Engineering background in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects. This is your chance to demonstrate your software engineering chops and how they relate to AI – make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on common AI and software engineering questions, and don’t forget to practice coding challenges. We want you to feel confident and ready to impress!
✨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 that extra step to connect with us directly.
We think you need these skills to ace AI Engineer (Forward Deployed) with Software Engineering background in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your software engineering background and any relevant AI experience. We want to see how your skills align with the role, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI Engineer position and how your previous experiences make you a great fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills:In your application, mention specific programming languages and tools you’re proficient in. We love seeing candidates who can demonstrate their technical prowess, especially in AI and software engineering.
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!
How to prepare for a job interview at McCabe & Barton
✨Know Your AI Fundamentals
Make sure you brush up on your AI concepts and algorithms. Be ready to discuss how they apply to real-world scenarios, especially in a forward-deployed context. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Software Engineering Skills
Prepare to talk about your software engineering background in detail. Highlight specific projects where you've used relevant programming languages and tools. Be ready to explain your thought process and problem-solving strategies during these projects.
✨Understand the Company’s AI Vision
Research the company’s current AI initiatives and how they align with their investment strategies. Being able to discuss how your role as an AI Engineer fits into their broader goals will demonstrate your genuine interest and commitment.
✨Prepare for Technical Challenges
Expect technical questions or coding challenges during the interview. Practice common algorithms and data structures, and be prepared to solve problems on the spot. This will help you showcase your technical prowess and adaptability.