Senior AI Platform Engineer – GenAI & MLOps

Senior AI Platform Engineer – GenAI & MLOps

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
JD GROUP

At a Glance

  • Tasks: Architect and scale cutting-edge AI platforms while leading technical projects.
  • Company: JD GROUP, a forward-thinking tech company in Bury St Edmunds.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on impactful AI solutions.
  • Why this job: Join a team shaping the future of AI with innovative technologies.
  • Qualifications: Extensive experience in AI, software engineering, and proficiency in Python and GCP.

The predicted salary is between 60000 - 80000 Β£ per year.

JD GROUP in Bury St Edmunds is seeking a Senior AI Engineer to architect, build, and scale production-grade AI platforms. The role involves significant technical leadership and collaboration with various data teams.

Ideal candidates should have extensive AI and software engineering experience, especially in LLMs and generative AI, as well as strong skills in Python and GCP AI technologies. The position emphasizes responsibility in design governance and operationalization of AI solutions.

Senior AI Platform Engineer – GenAI & MLOps employer: JD GROUP

JD GROUP in Bury St Edmunds is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals. With a strong emphasis on employee growth, we provide ample opportunities for skill development in cutting-edge AI technologies, ensuring that our team members are at the forefront of the industry. Our commitment to design governance and operational excellence not only enhances job satisfaction but also empowers employees to make a meaningful impact in the rapidly evolving field of AI.

JD GROUP

Contact Details:

JD GROUP Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior AI Platform Engineer – GenAI & MLOps

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and MLOps space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and generative AI. We want to see your work in action, so make it easy for potential employers to see what you can do.

✨Tip Number 3

Prepare for technical interviews by brushing up on your Python and GCP AI technologies. We recommend doing mock interviews with friends or using online platforms to simulate the real deal. Confidence is key!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Senior AI Platform Engineer – GenAI & MLOps

AI Platform Architecture
Production-Grade AI Solutions
Technical Leadership
Collaboration with Data Teams
LLMs (Large Language Models)
Generative AI
Python Programming

Some tips for your application 🫑

Show Off Your Skills:Make sure to highlight your experience with AI and software engineering, especially in LLMs and generative AI. We want to see how your skills in Python and GCP AI technologies can contribute to our team!

Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior AI Platform Engineer role. We love seeing how you align with our mission and values.

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences at a glance.

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 JD GROUP

✨Know Your AI Stuff

Make sure you brush up on your knowledge of LLMs and generative AI. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.

✨Showcase Your Python Skills

Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your approach to building scalable AI solutions. Practise coding challenges beforehand to boost your confidence.

✨Understand GCP AI Technologies

Familiarise yourself with Google Cloud Platform's AI tools and services. Be prepared to explain how you've used these technologies in past projects. Showing that you can leverage GCP for AI operationalisation will set you apart from other candidates.

✨Emphasise Leadership and Collaboration

This role involves significant technical leadership, so be ready to talk about your experience leading teams and collaborating with data professionals. Share examples of how you've guided projects from design to implementation, highlighting your ability to govern AI solutions effectively.