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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 48000 - 84000 £ per year.
As we move into 2026, 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 2026
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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the investment banking and capital markets scene. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/GenAI projects, especially those related to trading or risk management. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of capital markets. Be ready to discuss how you’ve applied AI solutions in real-world scenarios. Practice common interview questions and think about how your experience aligns with the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get your application in!
We think you need these skills to ace AI / GenAI Engineer – Investment Banking / Capital Markets in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight 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 your background makes you a perfect fit for us. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Be sure to list out your technical skills clearly, especially those mentioned in the job description like Python, TensorFlow, and cloud platforms. We’re looking for specific examples of how you’ve used these tools in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Caspian One
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and GenAI technologies, especially those relevant to capital markets. Be ready to discuss your experience with tools like TensorFlow, PyTorch, and any projects you've worked on that involved AI solutions in trading or risk management.
✨Showcase Your Front-Office Experience
Since the role requires strong front-office experience, prepare examples from your past roles where you collaborated with trading teams or integrated AI models into production systems. Highlight how your contributions improved performance or compliance in high-frequency environments.
✨Get Familiar with Financial Instruments
Brush up on your knowledge of financial instruments, pricing models, and risk analytics. Being able to speak confidently about these topics will show that you understand the domain and can apply your technical skills effectively in a financial context.
✨Prepare for Technical Questions
Expect technical questions related to programming languages and machine learning frameworks. Practice coding problems in Python or Java, and be ready to explain your thought process. Familiarity with MLOps and deployment strategies will also give you an edge.
