At a Glance
- Tasks: Lead AI deployments, architect solutions, and drive adoption across various business functions.
- Company: Join TP ICAP, a global leader in market infrastructure and innovative financial solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth in AI.
- Other info: Dynamic work environment with a focus on diversity and inclusion.
- Why this job: Make a real impact with cutting-edge AI technology while shaping the future of finance.
- Qualifications: Experience in AI technologies, Python, and strong communication skills.
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 one of several newly created opportunities across our business functions, that will sit within our Group Technology function as an Associate Forward Deployed Engineer (AI) and be seconded out to various functions across the business including but not limited to Group Internal Audit, Operations and Human Resources. As the Associate Forward Deployed AI Engineer, you will embed directly with TP ICAP’s business divisions to lead end-to-end deployments of AI solutions, owning discovery, technical scoping, system design, build, and production rollout.
Responsibilities:
- Own the full lifecycle of AI deployments within your assigned business division.
- Embed directly with business stakeholders to understand their most pressing challenges.
- Architect, build, and deploy cutting-edge AI applications powered by large language models and generative AI.
- Co-develop and enhance TP ICAP’s shared AI service platform in collaboration with the central AI & Innovation Lab.
- Drive adoption of deployed solutions by measuring success through production usage, measurable workflow impact and evaluation-driven feedback.
Experience / Competences:
Essential:- Expertise in AI technologies, including Generative AI and Machine Learning.
- Hands-on experience working with Large Language Models (LLMs).
- Demonstrated proficiency in Python AI/ML frameworks.
- A proven track record architecting and designing scalable solutions.
- Experience managing technical priorities within an Agile environment.
- Strong communication skills with the ability to present complex technical concepts to non-technical stakeholders.
- AWS experience including AI services such as Bedrock.
- Proficiency in front-end technologies, particularly with React.
- Expertise in back-end development, with experience in building and deploying scalable APIs and microservices.
- Knowledge of OAuth (Okta) for implementing secure authentication and authorisation mechanisms.
Not The Perfect Fit? Concerned that you may not meet the criteria precisely? At TP ICAP, we believe in fostering inclusivity and cultivating a work environment where everyone can flourish. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply.
Company Statement: We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute.
Associate Forward Deployed Engineer (AI) in London employer: TP ICAP
TP ICAP is an excellent employer that fosters a collaborative and innovative work culture in the vibrant city of Belfast. Employees benefit from a high level of autonomy in their roles, along with opportunities for professional growth and client engagement, making it a rewarding environment for those passionate about financial markets and analytics.