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For Companies At a Glance
- Tasks: Design and build scalable AI systems that make a real-world impact.
- Company: Fast-growing consultancy with a dedicated AI Lab and innovative culture.
- Benefits: Competitive salary, hybrid working, strong training investment, and clear career progression.
- Why this job: Shape the future of AI while enjoying hands-on delivery and architectural influence.
- Qualifications: Experience in AI systems, strong software engineering skills, and proficiency in Python and SQL.
- Other info: Join a dynamic team with a focus on mentoring and collaboration.
The predicted salary is between 90000 - 90000 £ per year.
We're working with a fast-growing consultancy building out a dedicated AI Lab, focused on embedding AI into real-world, enterprise environments. This is a hands-on senior engineering role with real influence, shaping how AI is designed, built, and deployed across the business. If you're looking for a role where you can own architecture, build properly, and see things through to production, this is one to look at.
The Role
- You'll sit at the core of the AI capability, helping define and deliver scalable, production-grade AI systems.
- Key areas of focus:
- Designing AI systems and contributing to architecture and solution direction
- Building end-to-end AI solutions across modern platforms (Azure AI, Copilot-style tooling, etc.)
- Implementing secure, scalable integration patterns into wider tech ecosystems
- Developing frameworks to improve deployment, testing, and reliability
- Driving engineering standards and contributing to code quality and best practice
- Supporting and mentoring more junior engineers
- Working closely with stakeholders to translate ideas into working, production solutions
What They’re Looking For
- Strong experience delivering AI / data-driven systems in production
- Solid software engineering fundamentals (APIs, system design, integration patterns)
- Experience with Python and SQL in AI/data contexts
- Exposure to enterprise AI platforms (e.g. Azure AI, Copilot ecosystem) or similar
- Comfortable operating in structured / regulated environments
- Able to communicate technical ideas clearly across engineering + non-technical teams
Why This Role
- You're helping define the AI capability
- Proper mix of architecture + hands-on delivery
- Strong backing and investment in AI as a strategic priority
- Clear opportunity to shape standards, tooling, and direction early
Package / Setup
- Hybrid working
- Strong benefits + training investment
- Clear progression within a growing AI function
Senior AI Software Engineer - AI Lab employer: Method-Resourcing
Contact Detail:
Method-Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Software Engineer - AI Lab
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your experience with Python, SQL, and enterprise platforms like Azure AI. This will give you an edge when discussing your capabilities in interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your software engineering fundamentals. Be ready to discuss system design and integration patterns, as well as how you've implemented scalable AI solutions in the past.
✨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, it shows you’re genuinely interested in joining our team and contributing to the exciting work we’re doing in AI.
We think you need these skills to ace Senior AI Software Engineer - AI Lab
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior AI Software Engineer role. Highlight your experience with AI systems, Python, and SQL, and don’t forget to mention any enterprise platforms you've worked with!
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 makes you a perfect fit for our AI Lab. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in AI or software engineering. We love seeing how you approach challenges and what solutions you've implemented in past roles.
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’re considered for this exciting opportunity in our growing AI function!
How to prepare for a job interview at Method-Resourcing
✨Know Your AI Systems
Make sure you brush up on your knowledge of AI systems, especially those relevant to the role like Azure AI and Copilot tooling. Be ready to discuss your past experiences with these technologies and how you've implemented them in production environments.
✨Showcase Your Software Engineering Skills
Prepare to demonstrate your solid software engineering fundamentals. Be ready to talk about APIs, system design, and integration patterns. You might even want to bring examples of your work that highlight your coding skills in Python and SQL.
✨Communicate Clearly
Since this role involves working closely with both technical and non-technical teams, practice explaining complex ideas in simple terms. Think about how you can convey your technical expertise without overwhelming your audience.
✨Be Ready to Mentor
As a senior engineer, you'll likely be expected to support and mentor junior engineers. Prepare to discuss your mentoring style and any previous experiences where you've helped others grow in their roles.