At a Glance
- Tasks: Design and develop scalable Python applications and optimise AI-driven solutions.
- Company: Join a forward-thinking business tackling complex AI challenges.
- Benefits: Enjoy a hybrid work setup with flexibility and meaningful technical ownership.
- Other info: 3-month rolling contract with opportunities for growth and collaboration.
- Why this job: Work on advanced AI projects and make a real impact in a fast-paced environment.
- Qualifications: Strong Python engineering and hands-on AI expertise required.
The predicted salary is between 60000 - 80000 £ per year.
We’re working with a business tackling complex technical challenges through cutting-edge AI and data solutions. They’re looking for a Senior Python Engineer who can combine strong software engineering fundamentals with hands-on AI expertise to help deliver scalable, high-performance systems in a fast-moving environment. This is a contract role suited to someone who enjoys solving difficult problems, working across modern cloud-native environments, and building robust AI-driven applications at enterprise scale.
Technology / AI Engineering
- Duration: 3-Month rolling Contract (Mid-June start)
- Security Clearance: SC cleared
- Designing and developing scalable Python-based applications within enterprise environments
- Building and optimising AI-driven solutions, including Retrieval-Augmented Generation (RAG) capabilities
- Working with graph databases and integrating complex data relationships into AI workflows
- Improving system performance, reliability, and runtime efficiency across distributed platforms
- Building and maintaining CI/CD pipelines to support automated deployment and delivery
- Working with PostgreSQL, JSON-based data structures, and cloud-native tooling
- Strong commercial Python engineering experience within large-scale organisations
- Hands-on AI engineering expertise, ideally within production environments
- Experience with Retrieval-Augmented Generation (RAG) and Microsoft Graph Retrieval
- Strong understanding of Kubernetes, containerisation, and deployment practices
- Experience building and maintaining CI/CD pipelines
- Knowledge of graph databases and complex data architectures
- Strong experience with PostgreSQL, JSON, and API-driven systems
- Opportunity to work on genuinely advanced AI and data engineering projects
- Hybrid working setup with a strong balance of onsite collaboration and flexibility
- Fast-paced contract environment with meaningful technical ownership
- Exposure to modern AI tooling, cloud-native platforms, and enterprise-scale systems
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.
Locations
Senior Python - AI Developer in Farnborough, Hampshire employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python - AI Developer in Farnborough, Hampshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Python communities. Attend meetups, webinars, or even online forums to get your name out there. You never know who might have a lead on that perfect contract role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Python projects, especially those involving AI. This is your chance to demonstrate your hands-on expertise and problem-solving abilities. Make sure to include links to any relevant GitHub repositories!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with cloud-native environments, CI/CD pipelines, and graph databases. Practise coding challenges and be prepared to solve problems on the spot!
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. By applying directly, you’ll increase your chances of getting noticed by our hiring team. Don’t miss out on the opportunity to work on cutting-edge AI projects!
We think you need these skills to ace Senior Python - AI Developer in Farnborough, Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python engineering experience and AI expertise. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about tackling complex challenges with us. Share specific examples of how you've built scalable applications or optimised AI solutions in the past.
Showcase Your Problem-Solving Skills: In your application, give us a glimpse into your thought process when solving difficult problems. We love candidates who can think critically and creatively, especially in fast-paced environments like ours.
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 to work on advanced AI projects!
How to prepare for a job interview at Addition+
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of AI and data solutions. Be ready to discuss your experience with scalable applications and how you've tackled complex problems using Python in previous roles.
✨Showcase Your AI Expertise
Prepare to talk about your hands-on experience with AI technologies, particularly Retrieval-Augmented Generation (RAG). Have examples ready that demonstrate how you've built and optimised AI-driven solutions in production environments.
✨Familiarise Yourself with Cloud-Native Tools
Since this role involves working in cloud-native environments, make sure you're comfortable discussing Kubernetes, containerisation, and CI/CD pipelines. Highlight any relevant projects where you've implemented these technologies.
✨Understand Data Relationships
Be prepared to discuss your experience with graph databases and how you've integrated complex data relationships into AI workflows. This will show your ability to handle the intricacies of data architectures in enterprise settings.