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- Tasks: Lead the design and delivery of cutting-edge AI/ML systems and mentor fellow engineers.
- Company: Fast-growing tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Join a high-performing team with excellent career advancement opportunities.
- Why this job: Shape the future of AI technology and make a real impact in a dynamic environment.
- Qualifications: Experience in agent-based AI systems and strong technical leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products.
This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team.
Key Responsibilities- Lead the design and delivery of AI/ML initiatives across the full lifecycle
- Build and deploy models, data pipelines, and production systems
- Work closely with Engineering, Product, and DevOps teams
- Support integration of AI capabilities into wider platforms
- Provide guidance on AI/ML frameworks, tools, and best practices
- Contribute to the development of agent-based AI systems and workflows
- Mentorship
Staff Software Engineer in Nottingham employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to agent-based AI systems. We want to see your hands-on experience and how you’ve tackled real-world problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AI/ML knowledge. We recommend practicing coding challenges and discussing your thought process out loud. It’s all about demonstrating your expertise and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it shows you’re genuinely interested in joining our team and contributing to our exciting projects.
We think you need these skills to ace Staff Software Engineer in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML and agent-based systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI and machine learning, and explain how your background makes you a great candidate. Keep it engaging and personal!
Showcase Your Technical Skills: In your application, highlight specific tools and frameworks you’ve used in AI/ML projects. We love seeing hands-on experience, so mention any models you've built or data pipelines you've developed that demonstrate your technical prowess.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of agent-based AI systems and modern machine learning approaches. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, be prepared to talk about your experience mentoring others and leading projects. Think of examples where you guided a team through a tough problem or helped someone grow in their role. This will demonstrate your ability to lead and inspire.
✨Collaboration is Key
Highlight your experience working with cross-functional teams, especially with Engineering, Product, and DevOps. Share examples of how you’ve successfully collaborated on AI/ML initiatives and how you integrated AI capabilities into wider platforms. This shows you can work well with others and understand the bigger picture.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. Ask about their current AI/ML projects, the team culture, or how they envision the future of agentic AI at their company. This not only shows your interest but also helps you gauge if the company is the right fit for you.