At a Glance
- Tasks: Shape the future of AI by building tools and integrating systems.
- Company: Join a pioneering company in workforce technology on an exciting AI journey.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment where you can influence the direction of AI development.
- Why this job: Make a real impact by turning innovative AI ideas into working prototypes.
- Qualifications: Passion for AI/ML, experience with Azure, and a knack for experimentation.
The predicted salary is between 60000 - 80000 £ per year.
The MRJ team have engaged with a very exciting company at the forefront of the workforce technology industry as they embark on a new game-changing AI journey. This isn’t a greenfield “AI strategy” conversation. The foundations and vision are already in place. We’re now looking for someone who can take ownership of what comes next: extending capability, building tools, integrating systems, and exploring what AI can unlock across the wider platform.
We’re looking for the kind of AI Engineer whose ideas start with "I wonder if we could..." and usually end with a working prototype. Someone who enjoys building, experimenting and pushing beyond the obvious, turning AI from a feature into something genuinely useful. If your browser history is full of docs, repos, experiments and half-finished ideas you just had to test, you'll probably fit in well here.
What you'll be doing (a summary):
- Identify, assess and shape new AI and automation opportunities, including running PoCs.
- Design, build and deploy Machine Learning models, LLM solutions and generative AI components.
- Implement MLOps best practices, including model pipelines, monitoring and automated evaluation.
- Creating prompt-driven experiences that can interface with multiple platforms.
- Help steer technical direction and influence what gets built next.
Person requirements (AI Engineer):
- Experience and passion in AI/ML, LLMs and MLOps.
- You are an expert at prompting and utilizing AI tools such as Cursor, Claude Code, Anthropic models & OpenAI to accelerate your coding, debugging, and documentation.
- An experimentation mindset; you will love turning ideas into working products.
- Can operate in ambiguity and lead from the front.
- Strong experience with Azure / Microsoft services.
- Enjoys taking ownership and influencing direction.
If you want a role where you can genuinely help define what AI looks like inside a growing product business, we should talk asap!
AI Engineer employer: The MRJ Group
Join a pioneering company at the forefront of workforce technology, where your role as an AI Engineer will allow you to take ownership of innovative projects that shape the future of AI. With a vibrant work culture that encourages experimentation and creativity, you'll have access to extensive growth opportunities and the chance to influence the technical direction of cutting-edge solutions. Located in a dynamic environment, this is an excellent opportunity for those looking to make a meaningful impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your projects! Create a portfolio showcasing your experiments and prototypes. This is your chance to demonstrate your skills and creativity, so make sure it’s easily accessible for potential employers.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s tech stack and recent projects. Tailor your questions and answers to show you’re genuinely interested in their AI journey and how you can contribute.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. Share specific examples of projects or experiments you've worked on that demonstrate your love for pushing boundaries in this field.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight the skills and experiences that align with the job description. We want to see how your background fits into our vision and what you can bring to the table.
Be Clear and Concise:While we love creativity, make sure your application is easy to read and straight to the point. Use bullet points where necessary and avoid jargon unless it’s relevant to the role. We appreciate clarity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at The MRJ Group
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and ML, especially around LLMs and MLOps. Be ready to discuss your past projects and how you've used tools like OpenAI or Azure services. This shows you're not just familiar with the tech but passionate about it too!
✨Show Off Your Experimentation Mindset
Prepare to share examples of how you've turned ideas into prototypes. Think of specific instances where you’ve built something from scratch or improved an existing system. This will highlight your ability to innovate and push boundaries, which is exactly what they’re looking for.
✨Be Ready for Ambiguity
Since the role involves operating in uncertain environments, think of times when you've successfully navigated ambiguity. Share how you approached challenges without clear guidelines and how you led projects to success despite the unknowns.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company's AI journey. Ask about their current projects, future goals, or how they envision AI transforming their platform. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your vision.
