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For Companies At a Glance
- Tasks: Design and deploy AI solutions for trading and risk management in capital markets.
- Company: Leading global financial services institutions based in the UK.
- Benefits: Hybrid work options, competitive contracts, and exposure to cutting-edge technologies.
- Why this job: Join transformative AI projects and enhance your CV with impactful experiences.
- Qualifications: 4+ years in AI Engineering with strong capital markets experience.
- Other info: Immediate start with excellent career progression opportunities.
The predicted salary is between 36000 - 60000 £ per year.
As we move into ****, we have multiple opportunities with leading global financial services institutions based in the UK. These roles offer more exposure to cutting-edge technologies and projects within fast-paced environments in capital markets. Ideal for professionals seeking impactful work and career progression.
We are looking for strong AI Engineers with front-office experience working for investment banks, hedge funds and fintechs.
Position Details
- Location: UK-based (Typically London & Glasgow)
- Right To Work: Must be eligible to work in the UK without requiring sponsorship
- Engagement: B2B 6–12-month rolling contracts
- Work Model: Hybrid and fully remote options available
- Start Date: Immediate and throughout ****
Key Responsibilities
- Design, develop, and deploy AI/GenAI solutions for trading, risk management, and analytics within capital markets.
- Collaborate with front-office teams to integrate AI-driven models into production systems.
- Work alongside data engineers and platform engineering teams to enhance front-office performance.
- Optimise performance and scalability of AI applications in high-frequency environments, ensuring compliance with regulatory and security standards.
Required Experience
- Minimum: 4+ years in Software Engineering / AI Engineering roles.
- Domain Expertise: Strong experience in capital markets, front-office systems, or financial services (essential).
- Proven track record of delivering AI/ML solutions in production environments, or demonstrable experience building AI tools inside or outside of work setting.
- Education: Relevant Software Engineering / Computer Science degree.
Technical Skills
- Programming Languages: Python, Java, C++, C#, TypeScript, JavaScript
- Machine Learning: TensorFlow, PyTorch, Scikit-learn
- GenAI / LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines
- Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake
- Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes
- Cloud & Infrastructure: AWS, Azure, GCP
- CI/CD pipelines (GitLab, Jenkins)
Desirable Skills
- Experience with prompt engineering, fine-tuning LLMs, and building RAG-based solutions.
- Knowledge of financial instruments, pricing models, and risk analytics.
- Familiarity with MLOps and data governance in regulated environments.
Why Apply?
- Work with major financial institutions on transformative AI projects.
- Exposure to the latest AI/GenAI technologies and frameworks.
- Enhance your CV with high-impact, front-office projects.
AI / GenAI Engineer - Investment Banking / Capital Markets in England employer: Caspian One
Contact Detail:
Caspian One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / GenAI Engineer - Investment Banking / Capital Markets in England
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone working in investment banking or capital markets. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving AI/GenAI solutions. Use real examples to demonstrate how you've tackled challenges in high-frequency environments.
✨Tailor Your Approach
Every conversation is an opportunity! Make sure to tailor your pitch to the specific role and company. Highlight your experience with front-office systems and how it aligns with their needs in capital markets.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through us not only gives you access to exclusive roles but also shows you're serious about landing that dream job in AI engineering!
We think you need these skills to ace AI / GenAI Engineer - Investment Banking / Capital Markets in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and capital markets. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in investment banking and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: List out your programming languages and tools clearly. We’re looking for specific skills like Python, TensorFlow, and experience with LLMs. Make it easy for us to see what you bring to the table!
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 straightforward!
How to prepare for a job interview at Caspian One
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and tools mentioned in the job description, like Python, TensorFlow, and Docker. Brush up on your knowledge of AI/GenAI solutions and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Understand Capital Markets
Since this role is focused on investment banking and capital markets, it’s crucial to have a solid grasp of financial instruments and risk analytics. Familiarise yourself with current trends in the industry and be prepared to discuss how AI can transform these areas.
✨Showcase Your Collaboration Skills
This position involves working closely with front-office teams and data engineers. Be ready to share examples of past collaborations, highlighting how you’ve integrated AI-driven models into production systems and improved performance in high-pressure environments.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and understanding of AI/ML concepts. Practice coding challenges and be prepared to explain your thought process clearly. This will demonstrate your expertise and ability to think critically under pressure.