At a Glance
- Tasks: Join the Recommendations team to enhance AI-powered products and improve system quality.
- Company: Dynamic tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting environment with a focus on collaboration and rapid growth.
- Why this job: Make a real impact in AI while collaborating with talented engineers and data scientists.
- Qualifications: Strong Python skills and experience in AI applications, especially in recommendations.
The predicted salary is between 60000 - 80000 € per year.
Opportunity for a Python Senior Engineer. You will join the Recommendations team, contributing to the AI Stylist experience, an AI-powered product that combines conversational interfaces with recommendation capabilities.
The work sits at the intersection of engineering and AI, focused on improving relevance, quality, and reliability in a live, customer-facing system. You will collaborate closely with engineers, data scientists, and product stakeholders to evolve the system and support its rapid growth.
- Strong Python engineering experience in production environments
- Experience building AI-enabled applications, particularly in recommendation or conversational systems
- Hands-on experience with evaluation frameworks for LLM or AI systems
- Clear understanding of how AI systems differ from traditional deterministic systems
- Ability to design meaningful evaluations and improve system quality over time
- Experience working in cross-functional teams with engineering, data, and product
- Building and evolving AI-powered services using Python
- Improving output quality through structured evaluations rather than purely code changes
- Applying techniques such as LLM-as-a-Judge to assess response and recommendation quality
- Integrating AI services into a broader platform and API ecosystem
- Contributing to production readiness including reliability, observability, and performance
- Partnering with data scientists on prompts, model usage, and evaluation strategies
Desarrollador Python Senior con Inglés in London employer: Gazelle Global
Join a forward-thinking company that values innovation and collaboration, where as a Senior Python Engineer, you will play a pivotal role in shaping the future of AI-powered recommendations. Our inclusive work culture fosters continuous learning and professional growth, offering you the chance to work alongside talented engineers and data scientists in a dynamic environment. Located in a vibrant tech hub, we provide competitive benefits and a supportive atmosphere that encourages creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Desarrollador Python Senior con Inglés in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with AI or Python. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI or recommendations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI systems and their evaluation frameworks. Be ready to discuss how you've improved system quality in past roles – real examples will make you shine!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s the best way to ensure your application gets the attention it deserves.
We think you need these skills to ace Desarrollador Python Senior con Inglés in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your strong Python engineering experience and any work you've done with AI-enabled applications. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about joining our Recommendations team and how your experience with conversational systems can contribute to the AI Stylist experience. Let us know what makes you tick!
Showcase Your Teamwork Skills:Since this role involves collaborating with engineers, data scientists, and product stakeholders, make sure to mention any cross-functional team experiences you've had. We love seeing how you’ve worked with others to achieve great results!
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 follow the prompts and let us see what you’ve got!
How to prepare for a job interview at Gazelle Global
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience in production environments and any specific projects you've worked on that showcase your expertise. Highlight how you've used Python to build AI-enabled applications, especially in recommendation systems.
✨Showcase Your AI Knowledge
Since this role involves working with AI systems, be prepared to explain how AI differs from traditional systems. Discuss any hands-on experience you have with evaluation frameworks for LLM or AI systems, and share examples of how you've designed meaningful evaluations to improve system quality.
✨Collaboration is Key
This position requires working closely with cross-functional teams, so be ready to talk about your experience collaborating with engineers, data scientists, and product stakeholders. Share specific examples of how you've contributed to team projects and how you handle differing opinions within a team.
✨Prepare for Technical Questions
Expect technical questions related to building and evolving AI-powered services using Python. Brush up on techniques like LLM-as-a-Judge and be ready to discuss how you've integrated AI services into broader platforms and API ecosystems. Practising coding challenges can also help you feel more confident.
