At a Glance
- Tasks: Lead the development of AI applications and design robust ML workflows.
- Company: Global insurance group with a supportive and collaborative culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Innovate in AI while working with a talented team in a dynamic environment.
- Qualifications: Extensive experience in machine learning systems and cloud AI ecosystems.
- Other info: Join a forward-thinking company focused on collaboration and development.
The predicted salary is between 36000 - 60000 Β£ per year.
A global insurance group is seeking a Principal AI Engineer to lead the development of AI applications. The role involves designing robust ML workflows and ensuring their deployment across CI/CD pipelines. Candidates should have extensive experience with machine learning systems in enterprise settings and a strong background in cloud AI ecosystems. This opportunity allows for innovative work within a supportive team culture focused on collaboration and development.
Hybrid Principal AI Engineer - Enterprise ML & MLOps in London employer: Howden Group
Contact Detail:
Howden Group Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Hybrid Principal AI Engineer - Enterprise ML & MLOps in London
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, ML workflows, and any CI/CD pipelines you've worked on. This will give potential employers a taste of what you can bring to the table.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration is key in this role. We want to see how you can communicate your ideas effectively!
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our supportive team culture.
We think you need these skills to ace Hybrid Principal AI Engineer - Enterprise ML & MLOps in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with machine learning systems and cloud AI ecosystems. We want to see how your skills align with the role, so donβt be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any innovative ML workflows or CI/CD pipelines, make sure to mention them. We appreciate candidates who can demonstrate their hands-on experience and problem-solving skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our supportive team culture!
How to prepare for a job interview at Howden Group
β¨Know Your ML Workflows
Make sure you can discuss your experience with designing and deploying machine learning workflows in detail. Be ready to explain how you've tackled challenges in previous projects, especially in enterprise settings.
β¨Showcase Your Cloud AI Knowledge
Brush up on the cloud AI ecosystems you've worked with. Be prepared to talk about specific tools and platforms you've used, and how they contributed to successful AI application development.
β¨Emphasise Collaboration Skills
Since this role focuses on a supportive team culture, highlight your experience working in collaborative environments. Share examples of how you've effectively communicated and partnered with cross-functional teams.
β¨Prepare for Technical Questions
Expect technical questions related to CI/CD pipelines and MLOps practices. Review key concepts and be ready to discuss how you've implemented these in your past roles, showcasing your problem-solving skills.