Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform AI concepts into scalable solutions for investment decision-making.
- Company: Leading European private credit manager with a focus on innovation.
- Benefits: Hybrid work model, competitive contract rates, and potential extensions.
- Why this job: Join a dynamic team and make a real impact in the finance sector.
- Qualifications: Strong C# or Python skills, experience with LLMs, and cloud platforms.
- Other info: Collaborative environment with opportunities to work closely with investment professionals.
The predicted salary is between 36000 - 60000 £ per year.
Location: Central London (Hybrid - 4 days onsite)
Contract: 6 Months + Extensions
A leading European private credit manager is seeking an experienced AI Engineer to join on a contract basis. This role will focus on taking AI proof‑of‑concepts developed across the investment business and productionising them into scalable solutions. You will act as the key bridge between investment teams (Portfolio Managers, Credit, and Origination) and technology, helping transform AI ideas into practical tools that enhance investment decision‑making and operational efficiency.
Key Responsibilities:
- Serve as the designated AI engineering lead responsible for productionising AI POCs.
- Develop and fine‑tune LLM‑based solutions (e.g. RAG, prompt engineering, embeddings, vector search).
- Collaborate closely with investment professionals and technology teams to translate concepts into deployable solutions.
- Build and integrate AI‑driven applications across portfolio management, credit, and origination workflows.
- Work with data end‑to‑end: ingestion, cleansing, structuring, and deployment.
Required Technical Skills:
- Strong experience with C# and/or Python.
- Cloud platform experience, ideally within the Azure ecosystem.
- Experience working with LLMs and AI integrations (Azure OpenAI, OpenAI, Anthropic, Claude, etc.).
- Ability to interact with, cleanse, and structure data end‑to‑end.
Ideal Background:
- Experience within private markets, private credit, or asset management.
- Comfortable working directly with investment teams and business stakeholders.
Generative AI Engineer in London employer: Orbis Group
Contact Detail:
Orbis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in private credit or asset management. 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 AI projects, especially those involving LLMs and cloud platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the investment landscape. Be ready to discuss how you can bridge the gap between tech and investment teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you an edge in the hiring process.
We think you need these skills to ace Generative AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C# and Python, as well as any work you've done with LLMs. We want to see how your skills align 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 the role and how your background in AI engineering can help us transform investment decision-making. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working closely with investment teams, highlight any past experiences where you’ve successfully collaborated with different stakeholders. We love seeing how you can bridge the gap between tech and finance!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Orbis Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and AI integrations, especially within the Azure ecosystem. Be ready to discuss specific projects where you've developed or fine-tuned AI solutions, as this will show your hands-on experience.
✨Bridge the Gap
Since this role involves collaborating with investment teams, think about how you can effectively communicate technical concepts to non-technical stakeholders. Prepare examples of how you've successfully translated complex ideas into practical tools in previous roles.
✨Data is Key
Be prepared to talk about your experience with data management, from ingestion to deployment. Highlight any specific tools or methodologies you've used to cleanse and structure data, as this will be crucial for the role.
✨Show Your Team Spirit
This position requires close collaboration with various teams, so be ready to share examples of how you've worked effectively in a team environment. Emphasise your ability to work directly with investment professionals and how you’ve contributed to enhancing operational efficiency.