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- Tasks: Design and develop innovative AI-driven solutions using cutting-edge technologies.
- Company: Join Studio Graphene, a supportive and collaborative tech company in Greater London.
- Benefits: Enjoy competitive pay, numerous perks, and a dynamic work environment.
- Other info: Opportunity to work with AWS SageMaker and grow within the company.
- Why this job: Make a real impact on exciting projects while advancing your career in AI.
- Qualifications: Over 4 years of Python experience and familiarity with GenAI principles.
The predicted salary is between 60000 - 80000 £ per year.
Studio Graphene is looking for a skilled Machine Learning Engineer in Greater London to design, develop, and deploy innovative AI-driven solutions. The ideal candidate will have over 4 years of Python experience, familiarity with GenAI principles, and hands-on experience with AWS SageMaker. Join a supportive and collaborative environment where you will have the opportunity to impact the company's growth and work on dynamic projects. Competitive pay and numerous perks included.
Senior AI & ML Engineer — LLMs, Agents, Production in London employer: Studio Graphene
Contact Detail:
Studio Graphene Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI & ML Engineer — LLMs, Agents, Production in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those who work at Studio Graphene. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AWS SageMaker. This is your chance to demonstrate your expertise in GenAI principles and make a lasting impression.
✨Tip Number 3
Prepare for the interview by brushing up on common ML concepts and recent advancements in AI. We recommend practising coding challenges and discussing your past projects to highlight your experience and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at Studio Graphene.
We think you need these skills to ace Senior AI & ML Engineer — LLMs, Agents, Production in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python experience and any projects you've worked on that relate to AI and ML. We want to see how your skills align with what we're looking for!
Get Familiar with GenAI: If you have experience with Generative AI principles, don’t hold back! Share specific examples of how you've applied these concepts in your work. It’ll definitely catch our eye.
AWS SageMaker is Key: Since hands-on experience with AWS SageMaker is a must, be sure to detail your familiarity with it. We love seeing practical applications of your knowledge, so include any relevant projects.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Studio Graphene
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with GenAI principles. Prepare to showcase specific projects where you've used AWS SageMaker, as this will demonstrate your hands-on expertise.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach designing and deploying AI-driven solutions, and articulate your thought process clearly.
✨Cultural Fit Matters
Studio Graphene values a supportive and collaborative environment. Be ready to discuss how you work in teams, share knowledge, and contribute to a positive workplace culture. Highlight any past experiences that reflect these qualities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future direction. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Consider asking about their current challenges in AI and ML.