Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy innovative AI solutions to tackle real-world challenges.
- Company: Leading technology consultancy in the UK with a focus on innovation.
- Benefits: Competitive salary and growth opportunities in a forward-thinking environment.
- Why this job: Join us to push the boundaries of intelligent technology and make a real impact.
- Qualifications: Strong Python skills and experience with ML libraries and cloud platforms.
- Other info: Collaborative teams and dynamic projects await you!
The predicted salary is between 36000 - 60000 £ per year.
A leading technology consultancy in the UK is seeking an experienced AI / Machine Learning Engineer to design and deploy innovative solutions. You will collaborate with teams to tackle real-world challenges utilizing AI and machine learning, requiring strong Python skills and experience with ML libraries and cloud platforms.
This position offers a competitive salary and opportunities for growth in a forward-thinking environment. Join us to push the boundaries of intelligent technology.
AI/ML Engineer: Build Scalable Real-World AI in England employer: Coba IT Consultants
Contact Detail:
Coba IT Consultants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer: Build Scalable Real-World AI in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a position.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and ML libraries. 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 common AI/ML questions and practical scenarios. Practice explaining your thought process and solutions clearly, as communication is key in collaborative environments.
✨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 AI/ML Engineer: Build Scalable Real-World AI in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and experience with ML libraries in your application. We want to see how you can tackle real-world challenges using your skills!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the AI/ML Engineer role. We love seeing how you align with our mission to push the boundaries of intelligent technology.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication that gets right to the heart of your experience and what you can bring to the team.
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 Coba IT Consultants
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with the ML libraries relevant to the role. Be ready to discuss your past projects and how you've used these technologies to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them using AI and machine learning. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Understand the Company’s Vision
Research the consultancy's recent projects and their approach to AI. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to their innovative solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the types of projects you'll be working on, and the tools they use. This shows your enthusiasm for the role and helps you gauge if it's the right fit for you.
