At a Glance
- Tasks: Develop and deploy LLM-based applications using Generative AI.
- Company: Ubique Systems, a dynamic and innovative tech company in Greater London.
- Benefits: 1-year contract with competitive pay and hands-on experience in cutting-edge AI.
- Why this job: Join a forward-thinking team and shape the future of AI technology.
- Qualifications: Expertise in Generative AI, LLMs, Python, and MLOps principles.
The predicted salary is between 60000 - 80000 € per year.
Ubique Systems is seeking an expert with extensive hands-on experience in Generative AI and large language models (LLMs) for a 1-year Fixed Term Contract. The role involves developing and deploying LLM-based applications, utilizing strong foundational knowledge in AI/ML and proficiency in Python.
Candidates should have expertise in Retrieval-Augmented Generation pipelines and a solid understanding of MLOps principles for deployment in production environments, working within a dynamic and innovative team in Greater London.
Gen AI Engineer - LLM & MLOps Specialist in London employer: Ubique Systems
Ubique Systems is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about Generative AI and large language models. Located in Greater London, we offer competitive benefits, a collaborative environment, and ample opportunities for professional growth, ensuring that our employees can thrive while contributing to cutting-edge projects in the AI/ML space.
StudySmarter Expert Advice🤫
We think this is how you could land Gen AI Engineer - LLM & MLOps Specialist in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and MLOps space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio of your LLM projects or any AI applications you've developed. 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 common questions related to Generative AI and MLOps. We recommend practising coding challenges in Python, as technical skills are key for this role.
✨Tip Number 4
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 take the initiative to connect directly with us.
We think you need these skills to ace Gen AI Engineer - LLM & MLOps Specialist in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with Generative AI and LLMs in your application. We want to see how your expertise in Python and MLOps can shine through!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Gen 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 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 from us!
How to prepare for a job interview at Ubique Systems
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI and large language models. Be prepared to discuss specific projects you've worked on, especially those involving Retrieval-Augmented Generation pipelines. This will show that you not only understand the theory but also have practical experience.
✨Show Off Your Python Skills
Since proficiency in Python is a must for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain your approach to a project. Practising common algorithms or data structures in Python can give you an edge.
✨Understand MLOps Principles
Familiarise yourself with MLOps principles, as they are crucial for deploying applications in production environments. Be prepared to discuss how you’ve implemented these principles in past projects, focusing on collaboration, automation, and monitoring.
✨Be Ready for Team Dynamics
Ubique Systems values teamwork, so think about examples where you've successfully collaborated with others. Highlight your ability to adapt in a dynamic environment and how you contribute to innovative solutions within a team setting.
