AI / GenAI Engineer - Investment Banking / Capital Markets
Overview:
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 fintech’s.
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.