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- Tasks: Transform machine learning models into production-ready services and support live customer deployments.
- Company: Dynamic tech recruitment firm based in Manchester with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a pivotal role in shaping AI services and make a significant impact.
- Qualifications: 4+ years in MLOps or ML engineering, strong Python skills, and model deployment expertise.
- Other info: Exciting environment with ample opportunities for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A technology recruitment firm is seeking an experienced MLOps professional to turn machine learning models into production-ready services in a hybrid work model based in Manchester. The ideal candidate will have at least 4 years of experience in MLOps or ML engineering, strong hands-on skills in Python, and expertise in deploying and serving ML models. This position plays a pivotal role as the company embarks on live customer deployments, with opportunities for significant impact and growth.
MLOps Engineer: Build Production-Grade AI Services in Manchester employer: 55 Exec Search
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer: Build Production-Grade AI Services in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the MLOps space and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects, especially those involving production-grade AI services. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in ML deployment. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting MLOps roles waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace MLOps Engineer: Build Production-Grade AI Services in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MLOps experience and skills in Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about MLOps and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any production-grade AI services or deployed ML models, make sure to mention them! We’re keen to see real-world examples of your work that demonstrate your hands-on skills.
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 from our team!
How to prepare for a job interview at 55 Exec Search
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant MLOps tools. Be ready to discuss your hands-on experience with deploying and serving ML models, as this will be crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in previous projects and how you overcame them. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand the Company’s Vision
Research the company’s current projects and their approach to AI services. Showing that you understand their goals and how you can contribute will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and their deployment strategies. This not only shows your interest but also helps you gauge if the company is the right fit for you.
