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- Tasks: Develop scalable AI solutions using Python and build cloud-based frameworks.
- Company: Leading UK tech firm focused on innovation and employee wellbeing.
- Benefits: Great development opportunities, collaborative culture, and emphasis on employee wellbeing.
- Why this job: Join a fast-paced team and make an impact in the AI field.
- Qualifications: Strong Python skills, AI engineering experience, and Azure familiarity.
- Other info: Dynamic environment with opportunities for growth and learning.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm based in the UK is seeking passionate AI engineers to develop scalable solutions using Python and build cloud-based AI frameworks. Candidates should possess strong experience in Python, AI engineering, and familiarity with Azure services. The role emphasizes collaboration within a fast-paced, agile environment, integrating machine learning models and optimizing workflows. The company values employee wellbeing and offers numerous development opportunities, making it an ideal workplace for innovative minds.
Python AI Engineer — LLM/Agentic Solutions on Azure in London employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python AI Engineer — LLM/Agentic Solutions on Azure in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other AI engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI and Azure. 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 common technical questions related to Python and AI engineering. Practice coding challenges and be ready to discuss your past projects and how they relate to the role.
✨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 genuinely interested in joining our innovative team.
We think you need these skills to ace Python AI Engineer — LLM/Agentic Solutions on Azure in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real projects, especially in AI engineering. Don't hold back on showcasing any cool solutions you've developed!
Familiarity with Azure is Key: Since we're all about cloud-based AI frameworks, let us know about your experience with Azure services. If you've worked on any projects using Azure, be sure to mention them and how they contributed to your success.
Collaboration is Crucial: We thrive in a fast-paced, agile environment, so share examples of how you've collaborated with others in your previous roles. Whether it's working in teams or integrating machine learning models, we want to see your teamwork skills shine!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Capgemini
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any projects you've worked on that involved AI engineering. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Familiarise Yourself with Azure Services
Since the role involves building cloud-based AI frameworks on Azure, it’s crucial to have a solid understanding of Azure services. Review the key features and functionalities of Azure that relate to AI and machine learning, and be prepared to discuss how you’ve used them in past projects.
✨Showcase Your Collaboration Skills
This position emphasises teamwork in a fast-paced environment, so be ready to share examples of how you've successfully collaborated with others. Think about specific instances where you contributed to a team project, highlighting your communication skills and adaptability.
✨Emphasise Continuous Learning
The company values development opportunities, so express your enthusiasm for continuous learning. Share any recent courses, certifications, or personal projects that showcase your commitment to staying updated in the AI field. This will show that you're not just skilled but also passionate about growth.
