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For Companies At a Glance
- Tasks: Build and deploy AI applications using Python and modern cloud tools.
- Company: Join a leading AI solutions provider driving innovation in enterprise AI.
- Benefits: Enjoy hybrid working, competitive salary, 25 days holiday, and private medical insurance.
- Why this job: Be part of a collaborative team shaping the future of AI with real-world impact.
- Qualifications: 2+ years in software engineering, ideally with Python and AI/ML tools.
- Other info: Excited candidates are encouraged to apply, even if they don't meet every requirement.
The predicted salary is between 28800 - 48000 £ per year.
Location: UK wide Home based / Hybrid (with occasional travel to client offices as needed)
Main Locations - London, Manchester, Edinburgh or Glasgow
The Company
MBN have partnered with a leading AI solutions provider enabling organizations to achieve a competitive advantage through Generative AI. By working with large corporate clients, they create and deploy scalable, enterprise-ready AI solutions. Their strategic partnerships with major AI technology providers allow them to drive innovation in applied AI and build industry-leading solutions.
About the Role
As an Applied AI Solution Engineer, you’ll work as part of small, cross-functional teams to build and deploy AI-powered applications — such as language model agents and intelligent automation tools — into real-world enterprise environments. This is a hands-on role where you’ll contribute to solution design, development, testing, and deployment while learning from senior engineers and working directly with clients.
What You’ll Do:
- Develop AI applications using Python, large language models, and modern cloud-based tools.
- Contribute to the design and implementation of microservices and data pipelines.
- Collaborate with client stakeholders and engineers to understand requirements and deliver value.
- Participate in code reviews, testing, and deployment processes.
- Continuously learn and stay current on the latest trends in AI and software development.
What We’re Looking For:
- 2+ years of experience in software engineering (or strong portfolio/projects), ideally in Python.
- Exposure to AI/ML tools, APIs, or foundational models (e.g. OpenAI, Hugging Face, LangChain).
- Familiarity with cloud services (e.g. AWS, GCP, or Azure) and containerization (e.g. Docker).
- Interest in or experience with building microservices, APIs, or distributed systems.
- Prior work with data processing, prompt engineering, or LLM evaluation.
- Enthusiasm for learning, experimentation, and applying new AI tools to real-world problems.
- Strong communication skills and a collaborative mindset.
Competitive salary and EMI share options so you grow as we grow. Hybrid working model with flexibility. 25 days holiday + bank holidays. Private medical insurance and wellness support. Access to training, mentorship, and real R&D work with cutting-edge AI tools. Be part of a collaborative, forward-thinking team shaping the future of enterprise AI. You don’t need to tick every box to apply — if you’re excited by the role and ready to grow in AI engineering, we want to hear from you.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology, Science, and Engineering
Industries: Technology, Information and Media, Information Services, and Data Infrastructure and Analytics
Artificial Intelligence Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the latest AI tools and technologies, especially those mentioned in the job description like Python, OpenAI, and Hugging Face. This will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI field, particularly those who work at MBN Solutions or similar companies. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Prepare to discuss real-world applications of AI that you've worked on or studied. Being able to articulate how you've applied your skills in practical scenarios will demonstrate your capability and enthusiasm for the role.
✨Tip Number 4
Showcase your collaborative mindset by preparing examples of past teamwork experiences. Highlight how you’ve successfully worked with others to solve problems or deliver projects, as this is crucial for the role.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with Python and AI/ML tools. Include specific projects or roles that demonstrate your skills in developing AI applications and working with cloud services.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, especially your experience with microservices, APIs, and data processing. Show that you are eager to learn and grow in AI engineering.
Showcase Your Projects: If you have a portfolio of projects, include links to them in your application. Highlight any work related to AI applications, language models, or automation tools. This will give the hiring team a clear view of your capabilities and creativity.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences in detail. Brush up on your knowledge of Python, AI/ML tools, and cloud services. Think about how you can explain your past projects and the impact they had, as this will likely come up during interviews.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, AI/ML tools, and cloud services. Bring examples of projects you've worked on that demonstrate your ability to develop AI applications and contribute to solution design.
✨Understand the Company’s AI Solutions
Research MBN Solutions and their partnerships with major AI technology providers. Familiarise yourself with their approach to Generative AI and be ready to discuss how you can contribute to their mission of driving innovation in applied AI.
✨Demonstrate Collaboration Skills
Since the role involves working in cross-functional teams, highlight your experience collaborating with stakeholders and engineers. Share specific examples of how you’ve successfully communicated requirements and delivered value in past projects.
✨Stay Current on AI Trends
Show your enthusiasm for continuous learning by discussing recent trends in AI and software development. Mention any relevant courses, workshops, or personal projects that reflect your commitment to staying updated in this fast-evolving field.
