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.
The predicted salary is between 70000 - 90000 £ per year.
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 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 a supportive team environment. We are committed to employee growth, offering continuous learning opportunities and mentorship, making us an excellent choice for those seeking meaningful and rewarding careers in AI development.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Ai Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and join online 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 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 soft skills. Practice explaining complex concepts in simple terms, as you'll need to collaborate with cross-functional teams. We recommend mock interviews to build confidence!
✨Tip Number 4
Don't forget to apply through our website! We regularly update our job listings, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Remote Ai Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI/ML solutions, MLOps pipelines, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of your work in AI, especially those involving NLP, computer vision, or generative AI. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills. We appreciate a well-structured application!
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 to do!
How to prepare for a job interview at N Consulting Ltd
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and ML, especially those mentioned in the job description like NLP and generative AI. Be ready to discuss your past projects and how you've implemented these technologies in real-world applications.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach designing an end-to-end AI solution or optimising a model for performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be prepared to discuss your experience collaborating with data scientists, engineers, and product managers. Share specific examples of how you’ve successfully worked in a team to deliver AI-driven solutions.
✨Be Ready to Discuss MLOps
As MLOps is a crucial part of this role, make sure you can explain your experience with CI/CD pipelines for ML. Talk about the tools you've used and how you've ensured scalable deployment and monitoring of AI models in your previous roles.
