At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions in dynamic enterprise environments.
- Company: Leading consultancy driving major enterprise transformation programmes.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a collaborative team focused on high-impact projects in a fast-paced environment.
- Why this job: Make a real impact by delivering scalable AI solutions that transform businesses.
- Qualifications: 5+ years in AI/ML, strong GCP and Kubernetes skills, and consulting experience.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking experienced AI / ML / AI Engineering professionals to join a major enterprise transformation programme with a leading consultancy. This is a hands-on delivery role focused on building and deploying production-grade AI systems within complex enterprise environments, not research or proof-of-concept work.
You will work across large-scale client engagements, designing, building, and deploying scalable AI/ML solutions using modern cloud-native technologies, with a strong emphasis on production readiness, performance, and enterprise integration.
Responsibilities- Design, develop, and deploy AI/ML solutions into production environments
- Build and operationalise machine learning models using cloud-native architectures
- Work extensively within Google Cloud Platform (GCP) environments
- Deploy and manage workloads using Google Kubernetes Engine (GKE) and Kubernetes
- Develop scalable ML pipelines and support MLOps practices including CI/CD, monitoring, and automation
- Integrate AI solutions into wider enterprise systems and data platforms
- Work closely with enterprise clients across transformation programmes
- Contribute to solution design, architecture decisions, and engineering best practices
- 5+ years’ experience in AI / ML / Data Science / AI Engineering
- Solid experience with GCP and Kubernetes / GKE
- Strong Python and cloud engineering skills
- Experience in consulting or enterprise transformation environments
- Understanding of MLOps, model deployment, and cloud-native engineering practices
- Strong stakeholder engagement and client-facing communication skills
- Exposure to GenAI, LLMs, or agent-based AI systems
- Experience with Terraform or other Infrastructure-as-Code tools
- Experience with BigQuery, Vertex AI, Dataflow or related GCP services
- CI/CD pipeline experience for ML systems
- Experience working in regulated or large-scale enterprise environments
This is an opportunity to work on high-impact enterprise transformation programmes delivering real-world AI solutions at scale. The role suits engineers who enjoy building production systems, working closely with clients, and operating in complex cloud environments.
If you are an AI Engineer, ML Engineer, or Data Scientist with strong cloud-native experience and a consulting mindset, we would be keen to speak with you.
AI Consultant employer: Coltech
Join a leading consultancy in Edinburgh, where you will be part of a dynamic team dedicated to delivering impactful AI solutions within enterprise transformation programmes. Our hybrid work culture promotes collaboration and innovation, while offering extensive opportunities for professional growth and development in cutting-edge technologies. With a strong focus on employee well-being and a commitment to excellence, we provide a rewarding environment for those looking to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving GCP and Kubernetes. 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 communicate effectively with clients and stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience with enterprise transformation and cloud-native technologies.
We think you need these skills to ace AI Consultant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Consultant role. Highlight your experience with GCP, Kubernetes, and any relevant projects that showcase your skills in building production-grade AI systems.
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 aligns with our enterprise transformation programme. Be specific about your achievements and how they relate to the job.
Showcase Your Technical Skills:Don’t forget to mention your technical skills, especially in Python and cloud engineering. If you’ve worked with MLOps practices or CI/CD pipelines, make sure to include those experiences as they’re super relevant to what we do.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Coltech
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially GCP and Kubernetes. Brush up on your Python skills and be ready to discuss how you've used these tools in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around deploying AI/ML solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Business Context
Research the consultancy and their enterprise transformation programmes. Be ready to explain how your technical skills can help solve their clients' problems and contribute to successful project outcomes.
✨Engage with Stakeholders
Since strong communication is key, practice articulating complex technical concepts in simple terms. Think about how you would explain your work to non-technical stakeholders and prepare some examples of past client interactions.
