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- Tasks: Design and build scalable AI platforms using large language models.
- Company: Leading tech consulting firm in the UK with a focus on AI and data.
- Benefits: Full-time position with a challenging and rewarding work environment.
- Why this job: Join a growing team and make an impact in the AI field.
- Qualifications: Experience in AI, MLOps, and scalable data pipelines required.
- Other info: Collaborate with diverse stakeholders and drive responsible AI practices.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech consulting firm in the UK is seeking a Senior AI Engineer to join its growing AI and data function. This role involves designing, building, and operating scalable AI platforms, including applications powered by large language models. The successful candidate will collaborate with various stakeholders to implement MLOps practices and ensure the responsible use of AI technologies. This is a full-time position, offering a challenging and rewarding opportunity.
Senior AI Engineer — LLMs, MLOps & Scalable Data Pipelines in England employer: Peregrine
Contact Detail:
Peregrine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer — LLMs, MLOps & Scalable Data Pipelines in England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data space, especially those who work at companies you're eyeing. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large language models and MLOps. This will help us see your practical experience and how you tackle real-world challenges.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and data engineering questions. We want to see how you think and solve problems, so practice explaining your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior AI Engineer — LLMs, MLOps & Scalable Data Pipelines in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI platforms and large language models. 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 AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of MLOps practices.
Showcase Your Collaboration Skills: Since this role involves working with various stakeholders, make sure to mention any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you can fit into our culture.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Peregrine
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models and MLOps practices. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This shows that you not only understand the theory but also have practical experience.
✨Showcase Your Collaboration Skills
Since this role involves working with various stakeholders, be prepared to talk about your experience in cross-functional teams. Share examples of how you’ve successfully collaborated with others to implement AI solutions, highlighting your communication skills and ability to adapt.
✨Demonstrate Responsible AI Use
Familiarise yourself with ethical considerations in AI. Be ready to discuss how you ensure responsible use of AI technologies in your work. This could include data privacy, bias mitigation, or transparency in AI systems—showing that you’re not just technically skilled but also socially aware.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their AI platforms, team dynamics, or future projects. This not only shows your genuine interest in the role but also helps you gauge if the company is the right fit for you.
