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- Tasks: Manage AI production lifecycle and design scalable cloud environments.
- Company: Leading data infrastructure firm with a mission-driven culture.
- Benefits: Competitive salary, benefits, and remote working options.
- Why this job: Join a team focused on ethical AI practices and impactful projects.
- Qualifications: 5+ years in cloud infrastructure with ML and LLM experience.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading data infrastructure firm seeks a Senior ML/LLMOps Engineer to manage the AI production lifecycle. This role involves designing scalable cloud environments, optimizing model deployments, and collaborating with research teams.
The ideal candidate has 5+ years of experience in cloud infrastructure, particularly with ML and LLM lifecycles.
Prolific offers a competitive salary, benefits, and remote working in a mission-driven culture focused on ethical AI practices.
Senior ML/LLMOps Engineer - Remote AI Pipelines employer: Prolific - UK Job Board?
Contact Detail:
Prolific - UK Job Board? Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML/LLMOps Engineer - Remote AI Pipelines
✨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 open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to ML and LLM lifecycles. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML/LLMOps questions and scenarios. Practice explaining your past experiences and how they relate to the role. Confidence is key, so let your passion for ethical AI shine through!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior ML/LLMOps Engineer - Remote AI Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud infrastructure and ML/LLM lifecycles. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ethical AI practices and how you can contribute to our mission-driven culture. Keep it engaging and personal!
Showcase Your Technical Skills: In your application, be specific about the tools and technologies you’ve used in previous roles. We love seeing hands-on experience, especially with scalable cloud environments and model deployments.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Prolific - UK Job Board?
✨Know Your Tech Inside Out
Make sure you’re well-versed in cloud infrastructure and ML/LLM lifecycles. Brush up on the latest tools and technologies relevant to the role, as you might be asked to discuss your experience with specific platforms or frameworks during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles. Think about times when you optimised model deployments or designed scalable environments, and be ready to explain your thought process and the impact of your solutions.
✨Collaborate Like a Pro
Since this role involves working closely with research teams, be prepared to discuss your collaboration experiences. Highlight any projects where teamwork was key to success, and demonstrate your ability to communicate complex ideas clearly.
✨Align with Ethical AI Practices
Familiarise yourself with ethical AI practices and be ready to discuss their importance. Show that you understand the implications of AI in society and how you can contribute to a mission-driven culture focused on responsible technology.
