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For Companies At a Glance
- Tasks: Build and operate cutting-edge AI infrastructure while automating workflows.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real difference.
- Qualifications: Experience in AI Ops, MLOps, or DevOps with strong scripting skills.
- Other info: Collaborative environment with a focus on career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Location: Onsite: 3 days per week – mandatory / Remote
Start: ASAP
Language: English (must-have)
Responsibilities:
- Build and operate AI / ML infrastructure used in production
- Support model deployment, monitoring and scaling
- Automate workflows around training, evaluation and deployment
- Partner closely with data scientists and engineers to keep AI systems stable and fast
Requirements:
- Strong background in AI Ops, MLOps, DevOps or Infrastructure Engineering
- Hands-on experience with Linux, automation, scripting (Python/Bash)
- Exposure to HPC or large-scale AI platforms
- Monitoring & observability tools (Prometheus, Grafana, etc.)
Remote engineer in Scotland employer: WorkGenius Group
Contact Detail:
WorkGenius Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer in Scotland
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on a remote engineer role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in AI Ops, MLOps, or DevOps. This is your chance to demonstrate your hands-on experience with Linux and automation tools – make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of monitoring tools like Prometheus and Grafana. Be ready to discuss how you've tackled challenges in deploying and scaling AI systems in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Remote engineer in Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI Ops, MLOps, and DevOps. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on experience with Linux and automation!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI infrastructure and how your background makes you a perfect fit for our team. Let us know how you can contribute to keeping our AI systems stable and fast.
Showcase Relevant Projects: If you've worked on any projects related to AI or ML infrastructure, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve monitoring tools like Prometheus or Grafana.
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 WorkGenius Group
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI Ops, MLOps, and DevOps. Be ready to discuss your hands-on experience with Linux, automation, and scripting in Python or Bash. The more specific examples you can provide about your past projects, the better!
✨Showcase Your Collaboration Skills
Since this role involves partnering closely with data scientists and engineers, be prepared to talk about how you've successfully collaborated in the past. Share examples of how you’ve contributed to team projects and kept AI systems stable and fast.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that test your troubleshooting skills. Think of scenarios where you had to automate workflows or resolve issues in AI infrastructure. Highlight your thought process and the steps you took to find solutions.
✨Familiarise Yourself with Monitoring Tools
Since monitoring and observability tools like Prometheus and Grafana are key for this role, make sure you understand how they work. If you have experience using these tools, be ready to discuss how you’ve implemented them in previous roles.
