At a Glance
- Tasks: Lead the design of innovative AI and ML platforms using AWS services.
- Company: A top media organisation in the UK focused on cutting-edge technology.
- Benefits: Competitive salary, flexible working arrangements, and career growth opportunities.
- Other info: Hybrid role with a focus on innovation and collaboration.
- Why this job: Join a dynamic team and shape the future of AI and machine learning.
- Qualifications: Extensive experience in DevOps, AWS, and MLOps; strong Computer Science background.
The predicted salary is between 54000 - 84000 £ per year.
A leading media organization in the UK is seeking a Principal Software Engineer to drive innovation in machine learning and AI technologies. This hybrid role involves leading the design and development of scalable data science workflows and platforms, utilizing AWS services like SageMaker and Bedrock.
The ideal candidate will possess extensive experience in DevOps, AWS, and MLOps, along with a strong educational background in Computer Science or related fields. This role offers a competitive salary and opportunities for flexible working arrangements.
Senior GenAI & ML Platform Engineer (Hybrid) employer: BBC Group and Public Services
As a leading media organisation in the UK, we pride ourselves on fostering a dynamic and innovative work culture that encourages creativity and collaboration. Our hybrid working model offers flexibility, allowing you to balance your professional and personal life while contributing to cutting-edge projects in machine learning and AI. With a commitment to employee growth, we provide ample opportunities for professional development and career advancement, making us an excellent employer for those seeking meaningful and rewarding employment.
Contact Details:
BBC Group and Public Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior GenAI & ML Platform Engineer (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, MLOps, and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to GenAI and ML. Practice explaining your thought process clearly, as communication is key in these roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior GenAI & ML Platform Engineer (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and AI technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your work with AWS services like SageMaker and Bedrock!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background in DevOps and MLOps makes you the perfect fit. We love hearing your story!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see how you've applied your skills in real-world scenarios.
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 during the process!
How to prepare for a job interview at BBC Group and Public Services
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning and AI technologies, especially AWS services like SageMaker and Bedrock. Brush up on your DevOps and MLOps knowledge, as you’ll likely be asked to discuss how you’ve applied these in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role involves leading design and development, be prepared to share examples of how you've successfully led projects or teams in the past. Highlight your ability to drive innovation and collaboration within a team setting.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in practical situations. Think about challenges you’ve faced in previous roles and how you overcame them, particularly in relation to scalable data science workflows.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the company’s future direction in AI and machine learning. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career goals.
