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- Tasks: Lead the development of advanced AI solutions on cloud platforms and guide engineering teams.
- Company: A top-tier AI solutions provider with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI and make a significant impact in a dynamic environment.
- Qualifications: Strong Python coding skills and experience with large language models required.
- Other info: Join a collaborative team and drive AI adoption across the organisation.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI solutions provider is seeking an experienced AI Engineer to develop and implement advanced AI workloads on cloud platforms. The ideal candidate will have a strong coding background in Python, hands-on experience with large language models, and a minimum of a BSc degree in a relevant field.
Responsibilities include:
- Building production-grade AI solutions
- Leading engineering teams
- Ensuring adherence to MLOps best practices
This role offers opportunities to influence AI adoption across the organization.
AI Engineering Lead — MLOps, LLMs & Cloud Platforms in City of Westminster employer: Reply Ltd
Contact Detail:
Reply Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Lead — MLOps, LLMs & Cloud Platforms in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and MLOps community on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large language models and cloud platforms. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on MLOps best practices and coding challenges in Python. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineering Lead — MLOps, LLMs & Cloud Platforms in City of Westminster
Some tips for your application 🫡
Show Off Your Coding Skills: Make sure to highlight your coding experience, especially in Python. We want to see how you've tackled complex problems and built solutions in your previous roles.
Talk About Your AI Experience: Don’t hold back on sharing your hands-on experience with large language models. We’re keen to know how you’ve implemented these technologies in real-world scenarios.
MLOps Matters: Since MLOps is a big part of this role, be sure to mention any relevant practices or tools you’ve used. We love seeing candidates who are up-to-date with industry standards!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Reply Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with large language models. Be prepared to explain how you've implemented AI solutions in the past, as this will show your hands-on experience and technical expertise.
✨Showcase Your Leadership Skills
Since this role involves leading engineering teams, think of examples where you've successfully managed projects or guided a team. Highlight your ability to inspire others and ensure everyone adheres to MLOps best practices.
✨Understand the Company’s AI Vision
Research the company’s current AI initiatives and be ready to discuss how you can contribute to their goals. Showing that you understand their mission and how you can influence AI adoption will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to cloud platforms and AI workloads.
