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Ai / genai engineer – investment banking / capital markets

London
Caspian One
Investment banker
Posted: 4h ago
Offer description

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.

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