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- Tasks: Design and deploy AI systems while ensuring scalability and security.
- Company: Leading tech company specialising in innovative HR solutions.
- Benefits: Competitive salary, hybrid work model, and supportive culture.
- Why this job: Join exciting AI projects and make a real difference in HR technology.
- Qualifications: Degree in Computer Science and 3+ years of machine learning experience.
- Other info: Dynamic environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A technology company specializing in HR solutions seeks a Machine Learning Engineer to design and deploy AI systems. The ideal candidate has a degree in Computer Science or related field and over 3 years of experience in machine learning.
You will work in a hybrid model, spending 2 days a week in the London office, and be involved in various AI-driven projects, ensuring best practices in scalability and security. The role offers competitive benefits and a supportive work culture.
ML Engineer: Production AI & MLOps (Hybrid London) employer: Personio GmbH
Contact Detail:
Personio GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer: Production AI & MLOps (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. 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 machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects. Practice common ML interview questions and think about how you can demonstrate your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our awesome team.
We think you need these skills to ace ML Engineer: Production AI & MLOps (Hybrid London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and MLOps, and how you can contribute to our team. Keep it engaging and personal – we love getting to know our candidates!
Showcase Your Technical Skills: In your application, be sure to mention specific tools and technologies you’ve used in your machine learning projects. We’re looking for someone who’s hands-on, so let us know what you bring to the table!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Personio GmbH
✨Know Your ML Fundamentals
Brush up on your machine learning concepts and algorithms. Be ready to discuss your experience with different models, their applications, and how you've tackled challenges in previous projects. This will show your depth of knowledge and practical skills.
✨Showcase Your Projects
Prepare to talk about specific AI-driven projects you've worked on. Highlight your role, the technologies you used, and the impact of your work. This not only demonstrates your hands-on experience but also your ability to contribute to their team.
✨Understand MLOps Practices
Since the role involves MLOps, make sure you’re familiar with best practices in deploying and maintaining machine learning models. Discuss any tools or frameworks you’ve used, and be ready to explain how you ensure scalability and security in your projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and team dynamics. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with your interviewers!
