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- Tasks: Design and deliver advanced AI solutions, developing intelligent applications and deploying ML models.
- Company: Dynamic tech company in Gloucester promoting diversity and innovation.
- Benefits: Competitive salary, excellent pension, private healthcare, and a share scheme.
- Other info: Exciting opportunities for growth in a collaborative and inclusive environment.
- Why this job: Join a cutting-edge team and work on impactful AI projects that shape the future.
- Qualifications: Strong Python skills, experience with PyTorch, TensorFlow, Docker, and Kubernetes.
The predicted salary is between 50000 - 65000 £ per year.
A technology company in Gloucester seeks an AI Developer/Engineer to design and deliver advanced AI solutions. This role involves developing intelligent applications and deploying machine learning models, requiring strong Python skills and experience with frameworks like PyTorch and TensorFlow. Ideal candidates will also understand machine learning fundamentals and have experience with Docker and Kubernetes.
The company promotes diversity and offers competitive salaries, excellent pension, private healthcare, and a share scheme.
AI Engineer: Production ML, LLMs & Pipelines (SC Cleared) employer: CGI
Contact Detail:
CGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: Production ML, LLMs & Pipelines (SC Cleared)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 Python, PyTorch, and TensorFlow. Having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on machine learning fundamentals and be ready to discuss your experience with Docker and Kubernetes. 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 Engineer: Production ML, LLMs & Pipelines (SC Cleared)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and any experience you have with frameworks like PyTorch and TensorFlow. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience with Docker and Kubernetes, as well as any relevant projects you've worked on. It helps us see why you're a great fit!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at CGI
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with frameworks like PyTorch and TensorFlow. Be ready to discuss your past projects and how you've used these technologies to solve real-world problems.
✨Understand Machine Learning Fundamentals
Before the interview, revisit the core concepts of machine learning. Be prepared to explain algorithms, model evaluation metrics, and how you approach problem-solving in AI. This will show that you have a solid foundation and can think critically about AI solutions.
✨Familiarise Yourself with Docker and Kubernetes
Since this role involves deploying models, having a good grasp of containerisation and orchestration tools is crucial. Be ready to discuss how you've used Docker and Kubernetes in your previous work or projects, as this will demonstrate your practical experience.
✨Show Your Passion for Diversity and Innovation
The company values diversity, so be sure to express your enthusiasm for working in an inclusive environment. Share any experiences where you've contributed to diverse teams or innovative projects, as this aligns with their company culture.