At a Glance
- Tasks: Manage the full AI product lifecycle and shape innovative AI systems.
- Company: Join the London Stock Exchange Group, a leader in financial technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team culture focused on innovation and collaboration.
- Why this job: Make a real impact in AI development within a data-driven environment.
- Qualifications: 7+ years in software or ML engineering with experience in large language models.
The predicted salary is between 80000 - 105000 £ per year.
London Stock Exchange Group is seeking an AI Product Co-Developer to join their team in London. This hybrid role involves managing the full AI product lifecycle, from discovery through deployment.
Candidates should have over 7 years of experience in software or ML engineering, hands-on experience with large language models, and the ability to translate business needs into product requirements.
The role offers the opportunity to shape AI systems in a data-intensive environment.
AI Product Co-Developer - Agentic AI & LLMs (Hybrid) in London employer: London Stock Exchange Group
London Stock Exchange Group is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong commitment to employee growth, we provide ample opportunities for professional development and the chance to work on cutting-edge AI technologies that shape the future of finance. Our hybrid work model ensures flexibility while being part of a diverse team dedicated to excellence.
Contact Details:
London Stock Exchange Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Co-Developer - Agentic AI & LLMs (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at the London Stock Exchange Group. A friendly chat can sometimes open doors that a CV can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with large language models and AI product development. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your software and ML engineering skills. Mock interviews can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Product Co-Developer - Agentic AI & LLMs (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Product Co-Developer role. Highlight your experience with large language models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Experience:Don’t just list your past jobs; showcase your achievements! Talk about specific projects where you managed the AI product lifecycle or translated business needs into product requirements. We want to know how you’ve made an impact in your previous roles.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models and AI product lifecycles. Be ready to discuss specific projects you've worked on, especially those that involved translating business needs into technical requirements.
✨Showcase Your Experience
With over 7 years in software or ML engineering, you’ll want to highlight your hands-on experience. Prepare examples that demonstrate your problem-solving skills and how you've successfully managed the full product lifecycle in previous roles.
✨Understand Their Business
Research the London Stock Exchange Group and understand their products and services. Think about how your skills can directly benefit them and be prepared to discuss how you can contribute to their goals in a data-intensive environment.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current AI initiatives or challenges they face in deploying AI products. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
