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- Tasks: Design and manage ML infrastructures while collaborating with dynamic project teams.
- Company: Leading data consultancy in Edinburgh with a focus on innovation.
- Benefits: Career development opportunities and exposure to real-world ML systems.
- Why this job: Join a cutting-edge team and make an impact in the world of ML.
- Qualifications: Experience with MLflow, Python, cloud technologies, and strong problem-solving skills.
- Other info: Exciting role with potential for growth in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading data consultancy in Edinburgh is seeking an experienced MLOps Engineer to design, build, and operate ML infrastructures. This role involves managing the lifecycle of ML models and collaborating with dynamic project teams to deliver scalable solutions.
The ideal candidate should have experience with tools like MLflow, Python, and cloud technologies, as well as strong problem-solving skills. This position offers opportunities for career development and exposure to real-world ML systems.
Senior MLOps Engineer: Scale Production ML & Data Ops employer: Optima Partners
Contact Detail:
Optima Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Engineer: Scale Production ML & Data Ops
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects, especially those involving MLflow and cloud technologies. 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 problem-solving scenarios related to ML infrastructures. Think about how you would tackle real-world challenges and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior MLOps Engineer: Scale Production ML & Data Ops
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML infrastructures and tools like MLflow and Python. We want to see how your skills align with the 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 passionate about MLOps and how your problem-solving skills can contribute to our dynamic project teams. Let us know what excites you about this opportunity!
Showcase Your Experience: In your application, include specific examples of how you've managed the lifecycle of ML models or worked with cloud technologies. We love seeing real-world applications of your skills, 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 updates from us!
How to prepare for a job interview at Optima Partners
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like MLflow and Python. Brush up on your cloud technologies too, as they’ll likely come up during the interview. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and ability to deliver scalable solutions.
✨Understand the Company’s Projects
Do some research on the consultancy's recent projects or case studies. Knowing what they’ve worked on can give you a leg up in the conversation and allow you to ask insightful questions. It shows genuine interest and helps you connect your skills to their needs.
✨Prepare for Team Dynamics
Since collaboration is key in this role, be ready to discuss your experience working in dynamic project teams. Think of examples where you contributed to team success or navigated conflicts. Highlighting your teamwork skills will reassure them that you can thrive in their environment.
