Role overview
*AI/ML Engineer, Greenfield projects, Python, Azure, Model Development, Deployment, ML Ops and Platform Ownership, MCP, LLM Product Build, NLP, Time-Series Modeling, Cloud Deployed ML Pipelines, Technology Transformation, Financial Services
Hybrid Role: 3 days a week in the mid-town New York office
You must be based in the US with full rights to work**
My client, a reputable Financial Services organisation, is looking to hire an accomplished AI/ML Engineer to join the business. This position will provide you with the opportunity to work in an entrepreneurial, project-driven, greenfield environment as the firm embarks on a large-scale tech modernisation programme. This is an extremely dynamic organisation – it is essential that you are comfortable working in a fast-paced, nimble fashion and are keen to be pro-active, working closely with both technical and non-technical stakeholders at all levels.
What you'll work on
This is a business critical, greenfield project, with the objective of building LLM products for both internal stakeholders (MCP) and external clients.
You will work closely with the Development Manager, data engineers and a variety of other stakeholders to implement the required infrastructure and architecture, followed by building the products themselves. You will lead model development across classification, forecasting, anomaly detection and clustering, own deep NLP/LLM workstreams and drive enterprise LLM customization through MCP workflows.
You will also be responsible for Deployment, ML Ops and platform ownership (Azure ML MLflow, Azure functions, CI/CD for ML ETC), feature engineering and data integration (Azure Data Factory, SQL) and overall AI innovation leadership throughout the firm.
What we're looking for
- Pro-active, entrepreneurial and progressive mindset – ability to combine in-depth technical experience with exceptional stakeholder communication skills, both technical and non-technical
- Ability to balance speed with best practice, whilst keeping business and technical stakeholders on-side
- Deep understanding of NLP + embeddings + LLM architectures, plus evaluation methodology and responsible AI controls – ESSENTIAL
- Multiple years’ experience building production AI/ML systems, ideally from scratch
- Deep expertise in Python + ML stack – Tensor-Flow, PyTorch, Transformers/LLM frameworks
- Proven track record in architecting ML platforms in Azure (Azure ML, MLFlow, containerization, monitoring)
- Expertise in MCP-based LLM workflows (Azure Model Catalog, fine-tuning pipelines, LoRA adapter management, evaluation/guardrails)
- Proven experience deploying models to production with reliability, governance and measurable business outcomes
- Strong desire to work in a role where you take the lead on progressive ideas in this space, working in an extremely fast-paced, multiple project driven environment