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- Tasks: Lead AI strategy and delivery, developing scalable AI solutions.
- Company: Dynamic fintech platform in the heart of Greater London.
- Benefits: Competitive salary, flexible working hours, and growth opportunities.
- Why this job: Join a cutting-edge team and shape the future of AI in finance.
- Qualifications: Proficient in Python with experience in machine learning frameworks.
- Other info: Collaborative environment with a focus on innovation and excellence.
The predicted salary is between 48000 - 72000 £ per year.
A dynamic fintech platform in the Greater London area is seeking a Recruitment Consultant for Data Science, ML, and AI to lead the development of AI capabilities. This role requires proficiency in Python and experience with machine learning frameworks, including LLMs. You will work closely with various teams to implement scalable AI-driven solutions, balancing speed and technical excellence. If you have a strong computer science background and the ability to collaborate effectively, this opportunity may be perfect for you.
Senior AI Engineer: Drive AI Strategy & Delivery employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: Drive AI Strategy & Delivery
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML questions. Practice explaining complex concepts in simple terms, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Let’s get you that dream job!
We think you need these skills to ace Senior AI Engineer: Drive AI Strategy & Delivery
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and any experience you have with machine learning frameworks. We want to see how your skills align with our needs, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Senior AI Engineer role. Mention specific projects or experiences that demonstrate your ability to implement scalable AI-driven solutions. This helps us see how you fit into our dynamic team.
Collaborate in Your Writing: Since collaboration is key in this role, use your application to showcase your teamwork skills. Share examples of how you've worked effectively with others to achieve technical excellence in past projects.
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 this exciting opportunity in the fintech space!
How to prepare for a job interview at Xcede
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, machine learning frameworks, and Python. Be ready to discuss specific projects you've worked on, especially those involving LLMs. This will show that you not only understand the theory but also have practical experience.
✨Showcase Collaboration Skills
Since the role involves working closely with various teams, prepare examples of how you've successfully collaborated in the past. Think about times when you balanced speed and technical excellence while delivering AI solutions. This will highlight your ability to work well with others.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on your coding skills in Python and be ready to solve problems on the spot. Practising common algorithms or data structures can give you an edge and demonstrate your technical prowess.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s AI strategy, the challenges they face, or how they measure success in AI projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
