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- Tasks: Manage the machine learning lifecycle and design efficient ML pipelines.
- Company: Leading unmanned technology firm based in Bath with a focus on innovation.
- Benefits: Flexible work arrangements and a supportive work environment.
- Why this job: Join a high-impact team deploying cutting-edge AI solutions.
- Qualifications: Degree in a related field and 3+ years of MLOps experience.
- Other info: Opportunity to work with Python, DevOps, and cloud technologies.
The predicted salary is between 36000 - 60000 £ per year.
A leader in unmanned technology based in Bath is seeking an MLOps Engineer to manage the machine learning lifecycle. The role involves:
- Designing efficient ML pipelines
- Collaborating with data scientists for model deployment
- Maintaining CI/CD processes
Candidates should have a degree in a related field and 3+ years of experience in MLOps, with strong skills in Python, DevOps practices, and cloud technologies. This position offers a great work environment and flexible arrangements.
MLOps Engineer — Flexible Work & High-Impact AI Deployments in Bath employer: TEKEVER
Contact Detail:
TEKEVER Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer — Flexible Work & High-Impact AI Deployments in Bath
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with MLOps professionals 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 MLOps projects, including any ML pipelines you've designed or CI/CD processes you've implemented. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with cloud technologies and DevOps practices. Practising common interview questions can help you feel more confident when it’s time to shine.
✨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, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace MLOps Engineer — Flexible Work & High-Impact AI Deployments in Bath
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps and relevant skills like Python and DevOps practices. We want to see how your background aligns 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 MLOps and how you can contribute to our team. We love seeing candidates who are genuinely excited about the work we do.
Showcase Your Projects: If you've worked on any cool ML projects or have experience with CI/CD processes, make sure to mention them! We appreciate candidates who can demonstrate their hands-on experience and problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at TEKEVER
✨Know Your ML Pipelines
Make sure you can discuss your experience with designing and managing ML pipelines in detail. Be ready to explain the challenges you've faced and how you overcame them, as this will show your practical knowledge and problem-solving skills.
✨Brush Up on CI/CD Processes
Since maintaining CI/CD processes is key for this role, review your understanding of these practices. Prepare to talk about specific tools you've used and how they improved your workflow. This will demonstrate your hands-on experience and technical expertise.
✨Collaborate Like a Pro
Collaboration with data scientists is crucial, so think of examples where you've successfully worked in a team. Highlight how you communicated complex ideas and contributed to model deployment, showcasing your teamwork and interpersonal skills.
✨Show Off Your Cloud Skills
With cloud technologies being a big part of the job, be prepared to discuss your experience with different cloud platforms. Share specific projects where you utilised these technologies, as it will illustrate your capability to handle high-impact AI deployments.
