At a Glance
- Tasks: Join our AI Solutions Group to develop innovative AI tools for broking workflows.
- Company: TP ICAP, a leading global provider of market infrastructure and data solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Make a real impact by embedding AI in financial markets and transforming workflows.
- Qualifications: Strong engineering background with experience in AI/ML and Python.
The predicted salary is between 60000 - 80000 £ per year.
The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group operates from more than 60 offices in 27 countries and is home to a stable of premium brands.
Role Overview: This is a newly created opportunity in our Global Broking division for an AI Engineer, joining the firm's new AI Solutions Group. Two engineers are being hired in this phase — one in London and one in New York — to establish the operating model for embedded AI delivery on the broking desks. The AI Solutions Group is a small, business-literate engineering team that sits alongside the brokers and embeds AI capability directly into the broking workflow.
Responsibilities:
- Embed on assigned pilot desks in London or New York — sit with brokers, understand their workflow, and identify areas that are slow, repetitive or error-prone.
- Architect, design and build production-grade AI solutions that remove friction from the broking workflow.
- Deliver every solution through the firm's agreed safe route to production.
- Contribute to and reuse from the shared AI capability library.
- Co-develop the team's shared platforms, frameworks and components.
- Operate on a Kanban delivery model.
- Maintain strict data stewardship, model risk and compliance standards.
- Provide ongoing support for deployed AI solutions.
- Translate stakeholder requirements into technical solutions.
- Present project updates and key developments to broking leadership and stakeholders.
Experience / Competences:
- Strong production engineering background.
- Hands-on experience working with Large Language Models (LLMs) and modern AI/ML frameworks.
- Expertise in Python in AI/ML frameworks and libraries.
- Demonstrated ability to understand and engage with a complex business domain.
- Experience managing technical priorities on a Kanban or Agile backlog.
- Evidence of presenting complex technical concepts to internal professionals and business stakeholders.
- Demonstrated ability to deliver within a regulated environment.
Desired:
- AWS experience, including AI services.
- Proficiency in front-end technologies, particularly React.
- Expertise in back-end development.
- Knowledge of OAuth for implementing secure authentication.
- Experience contributing to or consuming a shared component library.
- Prior experience embedding directly with business users.
Personal qualities:
- Proactive, adaptable and detail-oriented.
- Open to innovative ideas, with a strong analytical mindset.
- Excellent communication skills.
- Strong collaborator.
Location: UK - 135 Bishopsgate - London
AI Engineering Lead in London employer: TP ICAP Group Services
At TP ICAP, we pride ourselves on being a leading employer in the financial services sector, offering a dynamic work environment that fosters innovation and collaboration. Our London office is not only a hub for cutting-edge AI solutions but also provides employees with ample opportunities for professional growth and development within a diverse and inclusive culture. With a commitment to employee well-being and a focus on meaningful contributions, we empower our team members to thrive while shaping the future of market infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Lead in London
✨Tip Number 1
Get to know the company inside out! Research TP ICAP's values, recent projects, and their approach to AI solutions. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for those interviews by practising common questions and scenarios related to AI engineering. Think about how you can demonstrate your problem-solving skills and adaptability, especially in fast-paced environments like broking.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining TP ICAP and contributing to their innovative solutions.
We think you need these skills to ace AI Engineering Lead in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI engineering and how it aligns with our needs. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise, especially in Python and AI/ML frameworks. We want to see your hands-on experience, so include specific projects or tools you've worked with that demonstrate your capabilities.
Demonstrate Business Understanding:We’re looking for someone who can sit with brokers and understand their workflow. Share examples of how you've translated complex business needs into technical solutions in your application to show us you can bridge that gap.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at TP ICAP Group Services
✨Know Your AI Tools
Make sure you're up to speed with the latest AI tooling and frameworks, especially those related to Large Language Models and Generative AI. Familiarise yourself with how these tools can be applied in a broking context, as this will show your technical prowess and relevance to the role.
✨Understand the Broking Workflow
Spend some time researching the broking workflow and the challenges brokers face daily. This knowledge will help you demonstrate how your AI solutions can directly address their pain points, making you a more attractive candidate.
✨Showcase Your Collaboration Skills
Be prepared to discuss examples of how you've worked closely with non-technical teams in the past. Highlight your ability to translate complex technical concepts into understandable terms for stakeholders, as this is crucial for embedding AI solutions effectively.
✨Prepare for Governance Discussions
Since the role involves navigating security, compliance, and model risk, brush up on your understanding of these areas. Be ready to discuss how you've successfully delivered projects within regulated environments, showcasing your ability to adhere to governance standards.
