Lead Machine Learning / AI Engineer - Fixed Income Fund - Enterprise AI Platform - New York - Up to $700k TC
UK Visa Sponsorship Analytics
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Mondrian Alpha. For the most up-to-date job details, please visit the official website by clicking "Apply Now."
Lead Machine Learning / AI Engineer - Fixed Income Fund - New York - Up to $700k TC
A market‑leading trading firm is hiring a Lead ML / AI Engineer to build and own its enterprise AI engineering practice. This fund has recently launched a board-approved AI program focused on accelerating operational efficiency and building towards longer-term innovation. The team is small but well supported, and they’re looking for an experienced ML/AI Engineer to help move key initiatives from concept to production.
Key Responsibilities
- Develop and deploy practical AI/ML solutions within Microsoft Azure environments (Databricks experience preferred).
- Take ownership of proof-of-concept delivery, from design through production-scale rollout.
- Establish and enforce sound AI governance practices — from training and monitoring to platform management.
- Evaluate and select appropriate models and tools for different business problems, including some fine-tuning where required.
- Collaborate with external AI accelerator partners, ensuring projects deliver measurable business value.
- Work closely with technology and business teams to translate operational challenges into engineered solutions.
Experience and Skills
- Strong engineering background with a focus on Azure architecture and machine learning deployment.
- Track record of taking POC work through to live production environments.
- Practical understanding of AI governance and how to structure it effectively.
- Solid grasp of enterprise data platforms; AWS experience useful but not essential.
- Comfortable engaging with business stakeholders, framing realistic technical solutions.
- Background in finance or exposure to fixed-income workflows beneficial.
The Environment
The role is part of a newly formed enterprise AI team reporting to the Head of Enterprise Data. It’s a flat structure—currently two to three engineers—with scope to expand if the program continues to deliver. The emphasis is on hands-on engineering and architectural work rather than data science research.
What They’re Looking For
- 10+ years in software, data or AI/ML engineering, including 5+ years in a senior leadership role.
- Proven track record building and scaling AI or advanced analytics platforms in an enterprise setting, ideally with some exposure to financial or risk‑sensitive domains.
- Deep understanding of modern AI architectures: model serving, orchestration, monitoring and lifecycle management.
- Demonstrated ability to translate business strategy into technical execution, influence senior stakeholders and prioritise high‑impact use cases.
- Experience leading multidisciplinary engineering teams (platform, ML, application) and setting engineering standards.
- Excellent communication skills, able to explain complex technical concepts in clear business language to senior non‑technical stakeholders.
- Preferred: experience in regulated or risk‑sensitive environments, exposure to AI governance, familiarity with cloud‑native AI platforms and modern data ecosystems, and prior experience standing up a new engineering function or centre of excellence.