Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and deploy AI-driven solutions for wealth management while owning backend Python services.
- Company: Join a well-established team in London focused on financial intelligence and innovative AI solutions.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI in finance and collaborate with a passionate, tight-knit team.
- Qualifications: Strong Python skills and 2+ years in AI; passion for technology is a must!
- Other info: This role does not offer sponsorship, so applicants must have the right to work in the UK.
The predicted salary is between 75000 - 80000 £ per year.
Salary: £75,000 - £80,000 (flexible for strong candidates) + benefits
Location: London
Work across financial intelligence with a well-established team of engineers - for the first 12 months, work with a 70/30 split between backend SE and AI - before growing into the company's go-to AI Engineer just after a year.
ROLE AND RESPONSIBILITIES- Build and deploy scalable AI-driven solutions for wealth management/intelligence
- Work closely with a tight-knit product and engineering team
- Own backend Python services and contribute to a growing AI capability across the business
- Leverage text and voice data to create tools that help users achieve both life and financial goals
- Shape the future of AI - influencing architecture, research, and cross-team learning.
- Strong Python backend experience (Flask, Kafka, Docker, Kubernetes)
- 2+ years’ experience building or integrating AI (e.g. LLM, NLP)
- Clear passion for AI – side projects, research or professional experience
- Excellent communication, able to work with both technical and non-technical stakeholders
- Startup or scaleup experience
- Work experience in a fintech
Please note: this role cannot offer sponsorship.
Python AI Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python AI Engineer
✨Tip Number 1
Network with professionals in the fintech and AI sectors. Attend meetups, webinars, or conferences where you can connect with people already working in roles similar to the one you're aiming for. This can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Showcase your passion for AI through personal projects or contributions to open-source initiatives. Having a portfolio that demonstrates your skills in Python and AI will make you stand out during informal discussions or interviews.
✨Tip Number 3
Prepare to discuss specific technologies mentioned in the job description, like Flask, Kafka, Docker, and Kubernetes. Being able to articulate your experience with these tools will show that you're not only qualified but also genuinely interested in the role.
✨Tip Number 4
Familiarise yourself with the latest trends in AI and fintech. Being knowledgeable about current developments can help you engage in meaningful conversations with interviewers and demonstrate your commitment to staying updated in the field.
We think you need these skills to ace Python AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python backend experience and any relevant AI projects you've worked on. Use specific examples to demonstrate your skills with Flask, Kafka, Docker, and Kubernetes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it aligns with the company's goals. Mention any side projects or research that showcase your expertise in AI, particularly in LLM or NLP.
Showcase Communication Skills: Since the role requires working with both technical and non-technical stakeholders, include examples in your application that demonstrate your ability to communicate complex ideas clearly and effectively.
Highlight Relevant Experience: If you have startup or scaleup experience, make sure to mention it. Discuss how this experience has prepared you for the fast-paced environment of a fintech company and how you can contribute to their AI capabilities.
How to prepare for a job interview at Harnham
✨Showcase Your Python Skills
Make sure to highlight your strong backend experience with Python during the interview. Be prepared to discuss specific projects where you've used Flask, Kafka, Docker, or Kubernetes, as these are crucial for the role.
✨Demonstrate Your AI Passion
Share any side projects, research, or professional experiences that showcase your enthusiasm for AI. This could include discussing your work with LLMs or NLP, which will help you stand out as a candidate who truly cares about the field.
✨Prepare for Technical Questions
Expect technical questions related to both backend development and AI integration. Brush up on relevant concepts and be ready to solve problems on the spot, as this will demonstrate your expertise and problem-solving skills.
✨Communicate Effectively
Since the role involves working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Good communication can set you apart, showing that you can bridge the gap between different teams.
