Salary: £70,000 - 82,000 per year
Requirements: - Expertise in Generative AI, machine learning, and large language models.
- Hands-on experience with prompt engineering, agent development, and evaluation frameworks.
- Proven proficiency in Python AI/ML frameworks and the ability to write and review production-grade code across the full stack.
- Proven track record architecting and designing scalable solutions that move from prototype to production.
- Experience managing technical priorities within an Agile environment, resolving dependencies, and ensuring alignment across stakeholders and platform teams.
- Strong communication skills with the ability to present complex technical concepts to non-technical stakeholders and senior leadership.
- AWS experience, including AI services such as Bedrock and the serverless ecosystem.
- Proficiency in front-end technologies, particularly React.
- Experience in back-end development, including scalable APIs and microservices.
- Knowledge of OAuth (Okta) for secure, scalable authentication and authorisation in full-stack applications.
- Proactive, adaptable, and detail-oriented mindset in fast-paced environments.
- Strong analytical and problem-solving skills.
- Ability to tailor communication for different audiences, including technical and internal audit professionals.
- Ability to stay organised, remain calm under pressure, and collaborate effectively.
Responsibilities: - Own the full lifecycle of AI deployments within our assigned business division, from initial discovery and technical scoping through system design, build, and production rollout.
- Embed directly with business stakeholders to understand their most pressing challenges and translate complex domain requirements into well-defined technical solutions.
- Communicate progress, trade-offs, and outcomes clearly to leadership.
- Architect, build, and deploy cutting-edge AI applications powered by large language models and generative AI.
- Write and review production-grade code across frontend and backend systems, ensuring scalability, reliability, and strict data stewardship.
- Co-develop and enhance our shared AI service platform in collaboration with the central AI & Innovation Lab.
- Feed field insights back to inform product roadmaps, identify where models succeed, and surface areas for improvement.
- Drive adoption of deployed solutions by measuring success through production usage, measurable workflow impact, and evaluation-driven feedback.
- Present outcomes and strategic recommendations to leadership, demonstrating tangible business value.
Technologies: - AI
- AWS
- Architect
- Backend
- Frontend
- Machine Learning
- Network
- OAuth
- Python
- React
- Serverless
- microservices
- Cloud
- Support
More:
We are TP ICAP Group, a world-leading provider of market infrastructure, connecting clients to global financial and commodities markets through responsible and innovative solutions that improve price discovery, liquidity, and data distribution. We operate from more than 60 offices in 27 countries and are 5,300 people strong. Our AI & Innovation Lab is focused on driving real change across the organisation by developing and delivering AI solutions that transform how we work. This role is based in London (UK - 135 Bishopsgate) and is a full-time, hybrid position at Manager level. We value inclusion, collaboration, and continuous cultural improvement, supported by TP ICAP Accord, our Employee Network.
last updated 36 week of 2026