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- Tasks: Design and deploy AI-driven solutions to enhance innovative products.
- Company: Join a forward-thinking organisation focused on Data & AI.
- Benefits: Competitive salary, extensive benefits, and flexible work location.
- Other info: Ideal for those seeking a creative and dynamic work environment.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Strong software engineering skills and expertise in applied AI.
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 in London employer: SBS
Contact Detail:
SBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: GenAI, NLP & Production ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI-driven projects, especially those involving LLMs. We want to see your creativity and technical prowess in action, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Prepare for the interview like it’s the championship game! Research SBS, understand their products, and think about how your skills can enhance them. We love candidates who come in with ideas and a genuine passion for innovation.
✨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’re always on the lookout for talent that fits our culture and vision.
We think you need these skills to ace AI Engineer: GenAI, NLP & Production ML in London
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 Software Skills
Since strong software engineering skills are a must, prepare 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, as this will demonstrate your critical thinking and innovation skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in SBS and its products. Inquire about their current AI projects or how they foster innovation within the team. This shows you’re genuinely interested in being part of their journey.