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- Tasks: Build and maintain Python services for AI interactions and workflows.
- Company: Join a leading financial services group shaping the future of trading.
- Benefits: Competitive salary, performance bonuses, and structured career progression.
- Why this job: Take ownership of innovative projects in a greenfield environment with no legacy constraints.
- Qualifications: Strong Python skills and experience with scalable backend services and ML.
- Other info: Inclusive culture focused on collaboration, transparency, and innovation.
The predicted salary is between 50000 - 75000 £ per year.
You’ll join an established financial services group at a pivotal moment as they build a next-generation trading and investment platform from scratch. This is a hands-on engineering role suited to someone who enjoys scaling Python services, shaping AI-native workflows, and taking ownership of greenfield delivery. You’ll work closely with senior technologists to design, implement, and refine systems that underpin fast, reliable and compliant trading experiences — ideal for someone who has built modern data, ML or AI-driven products and wants to deepen their exposure to finance.
The AI Developer will design and deliver backend components, AI agent infrastructure, and internal tools that make the platform increasingly intelligent, automated, and scalable.
Role Highlights- Build and maintain Python-based services enabling AI agent interaction and orchestration
- Design APIs, contracts and context interfaces aligned to emerging AI engineering standards
- Develop internal tooling to support AI-native workflows, evaluation pipelines, and automation
- Apply the latest ML/LLM research to practical product needs within a regulated environment
- Contribute to design reviews, code quality, observability, and incident response
- Strong Python engineering background with experience building scalable back-end services
- Solid ML foundations with exposure to LLM integration, RAG, or prompt orchestration
- Understanding of model context patterns and AI/ML tool interfaces
- Experience with cloud-native delivery (AWS) and containerised systems
- Ability to own problems end-to-end and deliver maintainable, production-ready code
- Fully greenfield platform with no legacy constraints
- Meaningful technical ownership from day one
- Financial domain exposure with support to build specialist knowledge
- Performance-based bonus and structured progression opportunities
- Inclusive culture built around transparency, collaboration, and innovation
Artificial Intelligence Engineer in Slough employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. 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 Python projects, especially those related to AI and ML. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Artificial Intelligence Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python engineering skills and any experience with AI or ML projects. We want to see how your background 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 excited about building a next-gen trading platform and how your skills can contribute to our mission. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any AI-driven products or scalable back-end services, make sure to mention them. We love seeing real examples of your work, so include links or descriptions of your projects that demonstrate your expertise.
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 to join our team!
How to prepare for a job interview at Retelligence
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with building scalable back-end services and any specific projects you've worked on that showcase your expertise in Python, especially in relation to AI.
✨Familiarise Yourself with AI Concepts
Since this role involves AI and ML, it’s crucial to understand the latest trends and technologies in these fields. Be prepared to talk about your experience with LLM integration, RAG, or prompt orchestration, and how you've applied these in real-world scenarios.
✨Showcase Your Problem-Solving Skills
This position requires someone who can own problems end-to-end. Think of examples where you've tackled complex issues in your previous roles, particularly in a cloud-native environment like AWS. Highlight your approach to delivering maintainable, production-ready code.
✨Engage with the Company Culture
Research the company’s values and culture before the interview. They emphasise transparency, collaboration, and innovation, so be ready to discuss how you align with these principles and how you can contribute to their inclusive culture from day one.
