Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement AI solutions, collaborating with clients to tackle business challenges.
- Company: Join a top Microsoft Solution Partner known for cutting-edge AI-driven solutions.
- Benefits: Enjoy flexible remote work, professional growth opportunities, and a collaborative team culture.
- Why this job: Be part of an innovative team working on exciting Gen AI projects with top-tier clients.
- Qualifications: Experience with Generative AI models, programming in Python, and a degree in a relevant field is preferred.
- Other info: This role offers a chance to future-proof your tech career in a rapidly growing industry.
The predicted salary is between 43200 - 72000 £ per year.
This is a unique and rare opportunity to join one of the UK's top Microsoft Solution Partners, delivering cutting edge AI-driven solutions. If you want to future proof your tech career, this is the move!
Why they’re best in the business?
- Azure Expert MSP, Azure and Data + AI Solutions Partner with 15 Advanced Specialisations
- 25%+ YoY recurring revenue growth
- Top 10 "Best Tech companies to work for" in the UK
So what’s the role...?
As a Gen AI Engineer, you will play a key role in designing, implementing, and optimising AI solutions for clients. Working as part of an agile team, you will provide expert guidance, leveraging AI technologies to drive innovation and business success. You will collaborate with stakeholders to understand business needs, develop AI models, and ensure seamless deployment and integration.
Key Responsibilities
- Collaborate with clients to identify business challenges and opportunities for Gen AI-driven solutions.
- Design, develop, and deploy AI models and algorithms tailored to client needs.
- Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision.
- Conduct data analysis and pre-processing to prepare datasets for AI model training.
- Implement AI models into production environments and optimize their performance.
- Monitor and evaluate AI models, making necessary improvements based on real-world performance.
- Deliver training and support to clients on AI tools, best practices, and deployment strategies.
- Stay up to date with the latest advancements in AI, data science, and cloud technologies.
Skills & Experience Required
- Hands-on experience with Generative AI models or large language models (LLMs), including training, fine-tuning, and prompt engineering.
- Proficiency in programming languages such as Python, R, and Java. (Python is a must have!)
- Strong knowledge of data engineering processes (data cleaning, feature engineering, and integration).
- Ability to work independently and as part of a dynamic team.
- Experience with Microsoft Azure
- Good knowledge of optimisation techniques and design patterns for large data solutions.
- A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science (nice to have!)
What’s in It for You?
- Flexible remote working, must be UK based.
- Work on cutting-edge Gen AI projects with top-tier clients
- Professional development and growth opportunities (Your growth is directly linked to the growth of the practice)
- Collaborative and inclusive team culture
If you’re passionate about Generative AI and want to be part of an innovative, forward-thinking team, apply today!
Gen AI Engineer employer: Cloud Decisions
Contact Detail:
Cloud Decisions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in Generative AI and large language models. Being able to discuss recent developments or breakthroughs during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Network with professionals in the AI and tech community, especially those who work with Microsoft Azure. Engaging in discussions or attending relevant meetups can provide insights into the company culture and may even lead to referrals.
✨Tip Number 3
Prepare to showcase your hands-on experience with AI models. Be ready to discuss specific projects where you've implemented machine learning or natural language processing solutions, as this will highlight your practical skills.
✨Tip Number 4
Stay updated on optimisation techniques and design patterns for large data solutions. Being knowledgeable about these topics will not only help you in interviews but also show that you're proactive about improving your skill set.
We think you need these skills to ace Gen AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with Generative AI models and programming languages like Python. Emphasise relevant projects and skills that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the role. Mention specific experiences where you've designed or implemented AI solutions, and how they relate to the company's needs.
Showcase Relevant Skills: In your application, clearly outline your proficiency in data engineering processes and any experience with Microsoft Azure. Use examples to demonstrate your ability to work independently and as part of a team.
Highlight Continuous Learning: Mention any recent courses, certifications, or projects that show you stay up to date with advancements in AI and cloud technologies. This will demonstrate your commitment to professional development.
How to prepare for a job interview at Cloud Decisions
✨Showcase Your AI Knowledge
Make sure to brush up on the latest advancements in Generative AI, machine learning, and natural language processing. Be prepared to discuss specific projects you've worked on and how you applied these technologies to solve real-world problems.
✨Demonstrate Your Programming Skills
Since proficiency in Python is a must-have, be ready to showcase your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms and data structures can help you feel more confident.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle client challenges. Think of examples where you've collaborated with stakeholders to develop AI solutions. Highlight your problem-solving skills and how you adapt to different business needs.
✨Emphasise Team Collaboration
As the role involves working within an agile team, be sure to discuss your experience in collaborative environments. Share examples of how you've contributed to team success and how you value diverse perspectives in achieving project goals.
