Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy AI systems while ensuring scalability and security.
- Company: Leading tech company focused on 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: Flexible working environment with great career advancement opportunities.
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 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 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 applicants!
Showcase Your Technical Skills: Since this role is all about designing and deploying AI systems, make sure to mention specific tools and technologies you’re familiar with. We’re keen to see your hands-on experience, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 that you’re not just familiar with the theory but can apply it practically.
✨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 gives the interviewers a clear picture of your hands-on experience and problem-solving skills.
✨Understand MLOps Practices
Since this role involves MLOps, make sure you can discuss best practices in deploying and maintaining machine learning models. Familiarise yourself with tools and frameworks commonly used in the industry, as well as any security measures you've implemented in past 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’s a great way to demonstrate your enthusiasm for contributing to their projects.
