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- Tasks: Design and productionise Generative AI applications while collaborating with cross-functional teams.
- Company: Leading technology firm known for innovation and collaboration.
- Benefits: Competitive salary up to £100k and significant ownership in a remote role.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 5+ years of experience, strong Python skills, and GCP expertise.
- Other info: Fully remote position with a focus on collaboration and innovation.
The predicted salary is between 60000 - 84000 £ per year.
A leading technology firm is hiring a Senior Machine Learning Engineer to design and productionise Generative AI applications. This fully remote role involves architecting LLMOps pipelines, developing machine learning models, and collaborating with cross-functional teams.
Candidates should have:
- 5+ years of relevant experience
- Strong Python skills
- Expertise in GCP
The position offers a competitive salary up to £100k with significant ownership in a collaborative environment.
Senior ML Engineer for GenAI & LLM Apps on GCP (Remote) in London employer: Brio Digital
Contact Detail:
Brio Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer for GenAI & LLM Apps on GCP (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and GCP knowledge. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨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. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior ML Engineer for GenAI & LLM Apps on GCP (Remote) in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in machine learning and any specific projects you've worked on. We want to see how your background aligns with the role, especially in designing and productionising Generative AI applications.
Python Skills are Key: Since strong Python skills are a must-have, don’t forget to mention any relevant frameworks or libraries you’ve used. We love seeing practical examples of how you've applied your coding skills in real-world scenarios.
GCP Expertise Matters: If you’ve got experience with Google Cloud Platform, make it shine! Detail any projects where you’ve architected LLMOps pipelines or developed machine learning models using GCP. This will show us you’re ready to hit the ground running.
Collaborate and Communicate: This role involves working with cross-functional teams, so let us know about your collaboration experiences. Share examples of how you’ve effectively communicated complex ideas to non-technical team members. We value teamwork and clear communication!
How to prepare for a job interview at Brio Digital
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest trends and technologies in Generative AI and LLM applications. Brush up on your Python skills and be ready to discuss specific projects where you've implemented machine learning models, especially in GCP.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples that highlight your teamwork and communication abilities. Think of situations where you successfully collaborated with others to achieve a common goal, particularly in tech environments.
✨Prepare for Technical Questions
Expect to face technical questions related to MLOps pipelines and model productionisation. Practice explaining complex concepts in simple terms, as you may need to demonstrate your understanding to non-technical stakeholders during the interview.
✨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 projects in Generative AI or how they envision the future of LLM applications within their organisation.
