At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions while collaborating with diverse teams.
- Company: Join a forward-thinking tech company based in Edinburgh, embracing hybrid work.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Mentorship opportunities available to help you grow your career in AI.
- Why this job: Make a real impact by driving innovative AI solutions in a dynamic environment.
- Qualifications: 8+ years of experience in AI/ML and strong collaboration skills required.
Location: Edinburgh, UK
Work mode: Hybrid
Experience: 8+ Years
Key Responsibilities:
- Design, develop, and deploy end-to-end AI/ML solutions from data ingestion to production.
- Build and optimize ML/DL models for NLP, computer vision, recommendation systems, and predictive analytics.
- Implement and maintain MLOps pipelines (CI/CD for ML) for scalable deployment and monitoring.
- Collaborate with cross-functional teams (data scientists, engineers, product managers) to define AI-driven solutions.
- Research and integrate Generative AI (LLMs, diffusion models, transformers) into real-world applications.
- Drive data strategy, including data collection, preprocessing, and feature engineering.
- Optimize models for performance, scalability, and cost-effectiveness in cloud/on-prem environments.
- Mentor junior engineers and contribute to best practices in AI development.
Required Skills:
Remote AI Engineer in Edinburgh employer: N Consulting Ltd
As a leading employer in the tech industry, we offer our AI Engineers a dynamic and inclusive work culture that fosters innovation and collaboration. Located in the vibrant city of Edinburgh, our hybrid work model provides flexibility while ensuring access to cutting-edge resources and professional development opportunities. Join us to be part of a forward-thinking team that values your expertise and encourages growth in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community on LinkedIn or at local meetups. 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 AI/ML projects, especially those involving NLP, computer vision, or MLOps. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail, especially how you’ve implemented AI solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like 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 AI Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI/ML solutions and MLOps. We want to see how your skills align with the job description, 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 AI and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them! We love seeing real-world applications of your skills, especially in NLP, computer vision, or generative AI.
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 N Consulting Ltd
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and ML, especially around NLP, computer vision, and generative AI. Be ready to discuss your past projects in detail, focusing on the end-to-end solutions you've designed and deployed.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with data scientists, engineers, and product managers. Highlight any specific projects where teamwork led to innovative AI-driven solutions.
✨Demonstrate MLOps Knowledge
Be prepared to talk about your experience with MLOps pipelines and CI/CD for ML. Discuss how you've implemented these processes in previous roles and the impact they had on scalability and monitoring.
✨Mentorship Matters
If you've mentored junior engineers before, share those experiences! Talk about how you contributed to their growth and the best practices you instilled in them. This shows your leadership potential and commitment to the field.
