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- Tasks: Join a cutting-edge AI R&D team to prototype AI-driven tools for finance.
- Company: Work with a major financial player focused on innovative investment solutions.
- Benefits: Enjoy hybrid work options and competitive pay between £700-£900.
- Why this job: Be at the forefront of AI technology, collaborating with experts in a fast-paced environment.
- Qualifications: Strong Python skills and experience in AI/ML; finance knowledge is a plus but not essential.
- Other info: Open to data scientists or engineers eager to learn and engage with stakeholders.
The predicted salary is between 60000 - 84000 £ per year.
Join a high-impact AI R&D team at a major financial player, where you will be working at the cutting edge of LLMs and agentic workflows in the investment space. The team partners with front office users to prototype AI-driven tools for research automation, portfolio construction, and decision support.
This is an R&D-focused role where you will be experimenting with Python, LangGraph (or similar), vector databases, and prompt orchestration to prove out what is possible - then handing off validated concepts to engineering teams for scale-up. They are open to either data scientists or engineers with strong Python and AI experience.
You will need to be comfortable working in a fast-paced, collaborative environment and able to bridge technical experimentation with real investment use cases. If you have finance experience, that is great, but no worries if not, as long as you are willing to learn and engage with senior stakeholders.
Key experience:
- Python for AI/ML, automation, or backend work
- Hands-on with LLMs, agent frameworks, or prompt engineering
- Exposure to investment data or a willingness to learn quickly
- AWS (or similar cloud) and rapid prototyping mindset
- Front-end exposure (e.g. React) is a nice-to-have but not required
If you are an experienced engineer or scientist with a strong background in Python and commercial AI experience, get in touch.
Contract - Principal AI Engineer employer: Source Technology
Contact Detail:
Source Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract - Principal AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in LLMs and agentic workflows. Being able to discuss recent developments or case studies during your conversations will show your genuine interest and expertise in the field.
✨Tip Number 2
Network with professionals in the AI and finance sectors. Attend relevant meetups or webinars to connect with individuals who might provide insights or referrals, which can significantly boost your chances of landing the role.
✨Tip Number 3
Prepare to demonstrate your hands-on experience with Python and AI tools. Be ready to discuss specific projects or challenges you've tackled, as this will help you stand out as a candidate who can bridge technical experimentation with practical applications.
✨Tip Number 4
Show your willingness to learn about investment data and engage with senior stakeholders. Highlighting your adaptability and eagerness to understand the financial context will make you a more attractive candidate for the team.
We think you need these skills to ace Contract - Principal AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AI/ML, and any relevant projects you've worked on. Emphasise your hands-on experience with LLMs and automation, as well as any exposure to investment data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to bridge technical experimentation with real investment use cases.
Showcase Relevant Skills: Clearly outline your skills in Python, AWS, and any other relevant technologies. If you have experience with rapid prototyping or front-end technologies like React, be sure to include that as well.
Highlight Collaboration Experience: Since the role requires working in a fast-paced, collaborative environment, provide examples of how you've successfully worked with teams or engaged with stakeholders in previous roles.
How to prepare for a job interview at Source Technology
✨Showcase Your Python Skills
Since the role requires strong Python experience, be prepared to discuss your previous projects and how you've used Python in AI/ML contexts. Bring examples of your work that demonstrate your coding abilities and problem-solving skills.
✨Understand LLMs and Agent Frameworks
Familiarise yourself with large language models and agentic workflows. Be ready to explain how these technologies can be applied in investment scenarios, as this will show your understanding of the role's requirements and your ability to bridge technical concepts with real-world applications.
✨Demonstrate a Collaborative Mindset
This position involves working closely with front office users and senior stakeholders. Prepare to discuss your experiences in collaborative environments and how you’ve successfully communicated complex ideas to non-technical team members.
✨Express Willingness to Learn
Even if you lack direct finance experience, showing enthusiasm for learning about the investment space can set you apart. Be ready to discuss how you approach new topics and your strategies for quickly acquiring knowledge in unfamiliar areas.
