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- Tasks: Design and deliver innovative AI applications for clean energy solutions.
- Company: Join a forward-thinking team at the forefront of AI and clean energy.
- Benefits: Competitive salary, benefits allowance, and hybrid working options.
- Other info: Great career growth opportunities in a dynamic, inclusive environment.
- Why this job: Make a real-world impact while shaping the future of sustainable energy.
- Qualifications: Experience in full stack development and a passion for AI/ML systems.
The predicted salary is between 42000 - 55150 £ per year.
Join a cutting-edge engineering team building AI solutions that support the future of clean energy. This role sits at the heart of delivering secure, scalable AI products that drive real-world impact across complex, regulated environments.
Location: Derby (Hybrid – 2 days per week)
Package: £42,000 - £55,150 p/a + £2200 benefits allowance
Key Responsibilities:
- Design and deliver full-stack, cloud-native AI applications across front end, APIs, and data layers.
- Build and deploy RAG-based and agent-driven AI systems using secure, governed data sources.
- Develop scalable services on Azure, integrating with enterprise platforms and data pipelines.
- Implement MLOps and AIOps capabilities including model lifecycle management, monitoring, and automation.
Required Skills:
- Strong full stack engineering experience (React/TypeScript, Python, FastAPI, or Node.js).
- Proven experience or willingness to learn building AI/ML systems, particularly RAG or agent-based architectures.
- Solid Azure expertise (Azure ML, Azure OpenAI, Functions, AKS, CI/CD pipelines).
- Data engineering knowledge including pipelines, schema design, and observability.
- Experience with software testing, performance optimisation, and production monitoring.
Additional Information:
- Work on meaningful projects contributing to the future of sustainable energy.
- Exposure to complex, high-impact AI challenges in a real-world setting.
- Opportunity to shape modern AI platforms and influence engineering standards.
- Hybrid working with flexibility built in.
- Long-term career growth within a forward-thinking, innovation-led environment.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Python Full Stack Developer in Derby employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Full Stack Developer in Derby
✨Tip Number 1
Network like a pro! Reach out to folks in the clean energy and AI sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your full-stack projects, especially those involving Python, React, or Azure. Make sure to include any AI/ML systems you've worked on. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of MLOps and AIOps. Practice common algorithms and system design questions. We recommend using platforms like LeetCode or HackerRank to get in the zone!
✨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 innovative team working on impactful AI solutions.
We think you need these skills to ace Python Full Stack Developer in Derby
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your full-stack engineering experience and any relevant projects you've worked on, especially those involving AI or cloud technologies.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about clean energy and AI. Share specific examples of how your background aligns with our mission and the role, and don’t forget to show a bit of your personality!
Showcase Your Technical Skills: When detailing your technical skills, be specific! Mention your experience with React, Python, Azure, and any other relevant technologies. If you’ve worked on MLOps or AIOps, make sure to highlight that too!
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Addition+
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, React, and Azure. Brush up on your full-stack engineering skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your AI Knowledge
Since this role involves building AI solutions, be prepared to talk about any experience you have with AI/ML systems. If you haven’t worked directly with RAG or agent-based architectures, do some research and be ready to discuss how you would approach these challenges.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you’ve had to implement MLOps or AIOps capabilities, and be ready to explain your thought process and the outcomes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects in clean energy or how they integrate new technologies into their existing systems. This shows you’re genuinely interested and engaged.