Lead AI Engineer - Wealth Management
Posted 1 week ago by Spier Consulting Ltd
Negotiable
Inside
Hybrid
London Arena, UK
Summary: The Lead AI Engineer role in Wealth Management involves designing and developing AI systems for a consulting assignment lasting six months. The position requires expertise in AI and machine learning model development, with a focus on improving decision-making and automating processes. Candidates should have experience in the banking and financial services sector, along with strong communication skills. The role is hybrid and classified as inside IR35.
Key Responsibilities:
- Design, develop, and deploy AI and machine learning models.
- Build algorithms and program AI software.
- Evaluate model accuracy and effectiveness in real environments.
- Analyze business needs and identify AI opportunities.
- Develop and implement AI strategies and roadmaps.
Key Skills:
- Experience in AI/ML engineering.
- Knowledge of large language models (LLMs).
- Design of agentic workflows.
- Experience in generative AI adoption.
- Excellent communication skills.
Salary (Rate): undetermined
City: London Arena
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Lead AI Engineer -Wealth Management
Consulting role- 6 month assignment, Insider IR35, Hybrid, City Based
Working with our Wealth Management client, the role is to design and develop AI Systems
We currently require an AI engineer to design, develop, and deploy AI and machine learning models the focus will be building algorithms, programming AI software, and evaluating model accuracy. Also to undertake the analysis of Business Needs & Identify AI Opportunities to improve decision making and the automation of processes with the objective of building and Implementing AI Strategies & Roadmaps
Candidates should have experience working with Consulting in the Banking and FS sector and have hands on implementation experience including model development, deployment, testing, and refinement to ensure models work effectively in real environments
Candidates must possess strong experience in
AI/ML engineering
LLMs
the design of Agentic workflows
gen AI adoption
Excellent Comms Skills