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- Tasks: Design, build, and deploy AI-driven solutions to enhance products.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Enjoy a competitive salary, extensive benefits, and flexible work location.
- Other info: Flexible working within the UK or EU with great career growth potential.
- Why this job: Be part of an innovative team shaping the future of AI technology.
- Qualifications: Strong software engineering skills and expertise in applied AI, especially LLMs.
The predicted salary is between 50000 - 70000 £ per year.
SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization. This position focuses on designing, building, and deploying AI-driven solutions that enhance SBS products.
Candidates should possess strong software engineering skills coupled with applied AI expertise, particularly in LLM application development. The role is suitable for those looking for an environment that fosters innovation with a competitive salary and extensive benefits.
Work location is flexible within the UK or EU.
AI Engineer: GenAI, NLP & Production ML employer: SBS
Contact Detail:
SBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: GenAI, NLP & Production ML
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. 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 AI-driven projects, especially those involving LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and NLP. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer: GenAI, NLP & Production ML
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your software engineering skills and any experience you have with AI, especially in LLM application development. We want to see how your expertise can enhance our products!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the AI Engineer role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to manage applications and ensures you’re considered for the role!
How to prepare for a job interview at SBS
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, especially in areas like GenAI and NLP. Be ready to discuss your experience with LLM application development and how you've applied these technologies in real-world scenarios.
✨Showcase Your Engineering Skills
Since this role requires strong software engineering skills, be prepared to talk about your coding experience. Bring examples of projects where you've designed, built, or deployed AI-driven solutions, and be ready to explain your thought process.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges during the interview. Practice solving problems related to AI and machine learning on the spot. This will demonstrate your ability to think critically and innovate under pressure.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current AI projects or how they foster innovation within their team. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.