AI / GenAI Engineer - Investment Banking / Capital Markets
16 days ago
London
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.