At a Glance
- Tasks: Design and develop innovative AI/ML software solutions using cutting-edge technologies.
- Company: Dynamic tech firm in Leeds with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement in a collaborative environment.
- Why this job: Join a forward-thinking team and make an impact in the AI/ML space.
- Qualifications: 5-7 years of software development experience, strong Python skills, and AI/ML knowledge.
The predicted salary is between 42000 - 84000 £ per year.
A technology firm in Leeds is seeking a talented engineer to join their team developing innovative solutions using Graph Stream Processors. The ideal candidate has 5-7 years of software development experience, strong proficiency in Python, and a deep understanding of AI/ML frameworks.
Responsibilities include:
- Designing software systems for AI/ML operations
- Maintaining CI/CD pipelines
- Creating proof-of-concept projects
A background in embedded systems and knowledge of DevOps principles is preferred.
Senior AI/ML Software Engineer — Edge Compute & CI/CD in Leeds employer: BLAIZE
Contact Detail:
BLAIZE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Software Engineer — Edge Compute & CI/CD in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local 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 GitHub repository showcasing your projects, especially those related to AI/ML and CI/CD. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and AI/ML frameworks. Practice coding challenges and system design questions to boost your confidence and impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented engineers like you. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Senior AI/ML Software Engineer — Edge Compute & CI/CD in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and software development. We want to see how your skills align with the role, so don’t be shy about showcasing your Python proficiency and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background makes you a perfect fit for our team. We love hearing about your innovative ideas and experiences!
Showcase Your Projects: If you’ve got proof-of-concept projects or any work related to CI/CD pipelines, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios, especially in edge computing.
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. Let’s get started!
How to prepare for a job interview at BLAIZE
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and AI/ML frameworks. Be ready to discuss specific projects you've worked on, especially those involving Graph Stream Processors. The more you can demonstrate your technical expertise, the better!
✨Showcase Your CI/CD Knowledge
Since maintaining CI/CD pipelines is a key responsibility, be prepared to talk about your experience with them. Bring examples of how you've implemented or improved CI/CD processes in past roles. This will show that you understand the importance of efficient software delivery.
✨Demonstrate Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Practice explaining your thought process when solving problems, particularly in the context of AI/ML operations. This will highlight your analytical skills and ability to think on your feet.
✨Emphasise Your Teamwork and DevOps Experience
Collaboration is key in tech roles, so be ready to discuss how you've worked within teams, especially in a DevOps environment. Share examples of how you've contributed to team success and how you approach working with others to achieve common goals.