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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 innovation.
- Benefits: Full-time position with competitive salary and rewarding challenges.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience in AI engineering, MLOps, and scalable data pipelines.
- Other info: Collaborate with diverse stakeholders in a fast-paced environment.
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 London 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 London
✨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 interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large language models and MLOps. This is your chance to demonstrate what you can do beyond the CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI platforms and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application super easy for us!
We think you need these skills to ace Senior AI Engineer — LLMs, MLOps & Scalable Data Pipelines in London
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 MLOps. We love seeing candidates who can articulate their vision for responsible AI technologies.
Showcase 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 contribute to our dynamic environment.
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 don’t miss out on any important updates from our team!
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 decision-making processes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI strategy and future projects. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your values and career goals.
