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For Companies At a Glance
- Tasks: Build and operate cutting-edge AI/ML 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: Make a real impact in the AI field and collaborate with top talent.
- Qualifications: Experience in AI Ops, MLOps, or DevOps with strong scripting skills.
- Other info: Dynamic team environment with a focus on innovation and stability.
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 C# Engineer in Scotland employer: WorkGenius Group
Contact Detail:
WorkGenius Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote C# Engineer in Scotland
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and DevOps communities on LinkedIn or relevant forums. 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 projects, especially those involving AI infrastructure or automation. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C# and scripting skills. Practice common coding challenges and be ready to discuss your experience with tools like Prometheus and Grafana.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote C# Engineer in Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI Ops, MLOps, and DevOps. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or technologies you've worked with!
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. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since we're looking for someone with hands-on experience in Linux, automation, and scripting, make sure to mention specific tools and languages you've used. If you've worked with monitoring tools like Prometheus or Grafana, give us the details!
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’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at WorkGenius Group
✨Know Your Tech Inside Out
Make sure you brush up on your C# skills and any relevant AI Ops or MLOps tools. Be ready to discuss your hands-on experience with Linux, automation, and scripting in Python or Bash. The more confident you are in your technical knowledge, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles, especially around model deployment and monitoring. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions to keeping AI systems stable and fast.
✨Familiarise Yourself with Monitoring Tools
Since the role involves using tools like Prometheus and Grafana, it’s a good idea to have a basic understanding of how these work. If you’ve used them before, be ready to discuss your experience. If not, do a bit of research so you can speak intelligently about their importance in AI infrastructure.
✨Collaborate and Communicate
This position requires partnering closely with data scientists and engineers, so be prepared to talk about your teamwork experiences. Highlight instances where effective communication led to successful project outcomes, and show that you value collaboration as much as technical skills.
