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- Tasks: Drive the architecture of advanced machine learning systems and influence technical direction.
- Company: Leading AI consultancy with a focus on innovation and collaboration.
- Benefits: Competitive salary up to £100k, fully remote work, and autonomy in projects.
- Why this job: Join a dynamic team and make an impact in the exciting field of Generative AI.
- Qualifications: 5+ years of experience in machine learning and strong Python skills required.
- Other info: Enjoy a collaborative environment with opportunities for professional growth.
The predicted salary is between 60000 - 84000 £ per year.
A leading AI consultancy is seeking a Senior Machine Learning Engineer specializing in Generative AI and LLM applications. In this fully remote role, you'll drive the architecture and productionization of advanced machine learning systems on GCP.
The ideal candidate will have over 5 years of experience, strong Python skills, and familiarity with AI frameworks. Enjoy the autonomy of influencing technical direction while contributing to impactful projects within a collaborative team environment.
Competitive salary up to £100k offered.
Senior Generative AI & LLM Engineer (Remote UK) employer: Brio Digital
Contact Detail:
Brio Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Generative AI & LLM Engineer (Remote UK)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. Sometimes, a friendly nudge can lead to a hidden gem of a job that’s not even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Generative AI and LLM applications. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with Python and AI frameworks. We all know that confidence and clarity can set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Generative AI & LLM Engineer (Remote UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Generative AI and LLM applications. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Your Technical Skills: Since we’re looking for someone with strong Python skills and familiarity with AI frameworks, make sure to mention specific tools and technologies you’ve worked with. We love seeing practical examples of your expertise!
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 our team!
How to prepare for a job interview at Brio Digital
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and technologies in Generative AI and LLM applications. Be prepared to discuss your previous projects and how you've applied these technologies, as this will show your depth of knowledge and experience.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while coding, so practice common algorithms and data structures beforehand.
✨Familiarise Yourself with GCP
As you'll be working on GCP, it’s crucial to understand its services and how they relate to machine learning. Brush up on tools like BigQuery, Cloud Functions, and AI Platform, and be ready to discuss how you've used them in past projects.
✨Prepare for Collaborative Discussions
This role emphasises collaboration, so think about how you can contribute to a team environment. Prepare examples of how you've worked with others to influence technical direction and drive projects forward, showcasing your teamwork and communication skills.
