At a Glance
- Tasks: Support deployment and operation of ML models, collaborating with Data Scientists and ML Engineers.
- Company: Gravitas Recruitment Group, a global leader in tech recruitment.
- Benefits: Salary of £45k–£65k, equity, and great benefits.
- Other info: Work 3 days on-site in Manchester City Centre for excellent career growth.
- Why this job: Join a dynamic team and work on cutting-edge ML projects in a vibrant city.
- Qualifications: 1–3 years in Data Science or Software Engineering with strong Python skills.
The predicted salary is between 45000 - 65000 € per year.
Gravitas Recruitment Group (Global) Ltd is seeking a MLOps Engineer in Manchester. In this role, you'll support the deployment and operation of ML models, working with Data Scientists and ML Engineers.
Ideal candidates have 1–3 years of experience in Data Science or Software Engineering, with strong Python skills.
The position offers a salary of £45k–£65k plus equity and benefits, and requires 3 days on-site work per week at our office in Manchester City Centre.
MLOps Engineer: Deploy & Scale ML Pipelines (Equity) employer: Gravitas Recruitment Group (Global) Ltd
Gravitas Recruitment Group is an exceptional employer, offering a dynamic work environment in the heart of Manchester City Centre. With a strong focus on employee growth and collaboration, you'll have the opportunity to work alongside talented Data Scientists and ML Engineers while enjoying competitive salaries, equity options, and a supportive culture that values innovation and professional development.
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer: Deploy & Scale ML Pipelines (Equity)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working as MLOps Engineers. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects or contributions to open-source. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common MLOps scenarios. Think about how you'd handle deployment challenges or scale ML pipelines. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace MLOps Engineer: Deploy & Scale ML Pipelines (Equity)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Data Science or Software Engineering, especially your Python skills. We want to see how your background aligns with the MLOps Engineer role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your skills can help us deploy and scale ML pipelines. Keep it engaging and personal – we love a bit of personality!
Showcase Your Projects:If you've worked on any cool ML projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see what you've done and how it relates to the work we do at StudySmarter.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your ML Models
Make sure you understand the ML models you'll be working with. Brush up on deployment strategies and how to scale them effectively. Being able to discuss specific models you've worked with will show your expertise.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and libraries used in MLOps.
✨Collaborate Like a Pro
This role involves working closely with Data Scientists and ML Engineers. Be ready to discuss how you've collaborated in the past, and share examples of successful teamwork that led to effective model deployment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's ML processes and team dynamics. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
