Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop scalable Python applications and optimise AI-driven solutions.
- Company: Join a forward-thinking business tackling complex technical challenges with AI.
- Benefits: Enjoy a hybrid work setup, competitive pay, and meaningful project ownership.
- Other info: Diverse and inclusive workplace with opportunities for growth and learning.
- Why this job: Work on advanced AI projects and make a real impact in a fast-paced environment.
- Qualifications: Strong Python skills, AI expertise, and experience with cloud-native technologies.
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.
- Duration: 6-Month Contract (Mid-June start)
- Security Clearance: 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
Python AWS Engineer - Remote in Farnborough, Hampshire employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python AWS Engineer - Remote in Farnborough, Hampshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with AI and cloud-native environments. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI and cloud technologies. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice common interview questions and maybe even do some mock interviews with friends or online platforms.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Python AWS Engineer - Remote in Farnborough, Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and AI expertise, especially in cloud-native environments. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about tackling complex technical challenges and how your skills can contribute to our cutting-edge AI solutions. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've solved difficult problems in past roles. We love seeing candidates who can think critically and adapt to fast-paced environments, so share those success stories!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at Addition+
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially in relation to building scalable applications and working with AI-driven solutions. Prepare to showcase specific projects where you've applied your Python expertise.
✨Familiarise Yourself with AI Concepts
Since the role involves AI engineering, it’s crucial to understand key concepts like Retrieval-Augmented Generation (RAG). Be prepared to explain how you've implemented AI solutions in past projects and how they improved system performance or efficiency.
✨Get Comfortable with Cloud-Native Tools
The job requires experience with cloud-native environments, so make sure you know your way around Kubernetes, containerisation, and CI/CD pipelines. Be ready to discuss how you've used these technologies to enhance deployment processes and system reliability.
✨Showcase Your Problem-Solving Skills
This role is all about tackling complex challenges, so come prepared with examples of difficult problems you've solved in previous roles. Highlight your thought process and the steps you took to arrive at a solution, especially in high-pressure situations.