Principal Machine Learning Engineer (Python)

Job Title

Principal Machine Learning Engineer

Job Description Summary
We are seeking a Principal ML Engineer to build and maintain artificial intelligence and machine learning systems for our business. This role combines deep technical execution with broad influence: tackling the most complex machine learning problems, designing and implementing data architectures/models, MLOps and LLMOps, and monitoring and optimization as key software, while raising the bar for engineering excellence across the Data Organization.
Reporting to the Senior Director, Data Science & AI, the Principal ML Engineer is expected to move fluidly across project/product teams — embedding in projects for days or months at a time to unblock, accelerate, and uplift delivery. They will mentor other engineers at every level, push standards for technical excellence, and help establish the ML engineering, and architectural principles that guide our work. The primary platform is Databricks and the Azure cloud ecosystem, with the expectation of evaluating and adopting additional data technologies as the platform evolves.

We are seeking a Principal ML Engineer to build and maintain artificial intelligence and machine learning systems for ourbusiness. This role combines deep technical execution with broad influence: tackling the most complex machine learning problems, designing and implementing data architectures/models, MLOps and LLMOps, and monitoring and optimization as key software, while raising the bar for engineering excellence across the Data Organization.
Reporting to the Senior Director, Data Science & AI, the Principal ML Engineer is expected to move fluidly across project/product teams — embedding in projects for days or months at a time to unblock, accelerate, and uplift delivery. They will mentor other engineers at every level, push standards for technical excellence, and help establish the ML engineering, and architectural principles that guide our work. The primary platform is Databricks and the Azure cloud ecosystem, with the expectation of evaluating and adopting additional data technologies as the platform evolves.
AI/ML Model Development
~ Demonstrable experience shaping the end-to-end architecture, development, and deployment of AI, including machine learning, GenAI, and Agentic models that are tailored to business use cases.

~ Design and develop agentic AI systems — including multi-agent orchestration, tool-use, evaluation, and autonomous task-execution pipelines — to automate complex enterprise workflows.

~ Enforce model development standards encompassing data preprocessing, feature engineering, model selection, hyperparameter tuning, evaluation, and documentation.

~ Partner with data engineering teams to ensure robust, scalable, and high-quality data pipelines that support model training and inference.

AI Operations (MLOps / LLMOps)
~ Implement the organizations MLOps and LLMOps capabilities, including CI/CD pipelines for data wrangling, feature engineering, model training, evaluation, deployment, and monitoring.

~ Help define and enforce standards for model versioning, experiment tracking, reproducibility, and model registry management.

~ Implement robust model monitoring frameworks to detect performance degradation, data drift, concept drift, and bias in production systems, with automated alerting and retraining triggers.

AI Governance
~ Implement AI governance frameworks, including policies for model risk management, fairness, explainability, privacy, and security.

~ Champion sound AI principles across the global business, ensuring that human oversight and accountability are embedded in every stage of the AI development lifecycle.

10+ years

building software or machine learning systems, including 6+ years

shipping and operating machine learning in production — served, monitored, and maintained after launch.

~ Prior experience as the senior-most or near-senior-most engineer on a production ML or data platform, with responsibility for architectural decisions others had to live with.

~ Strong hands-on

Python

and

SQL

, and the software engineering fundamentals that keep ML systems maintainable at scale — version control, automated testing, code review, modular design — plus the discipline to enforce them across teams.

~ Expert hands-on proficiency with

Databricks

(Spark, Lakeflow Declarative Pipelines, Delta Lake, Lakebase/Postgres, Unity Catalog, Model Serving) and the Azure data ecosystem.

Deep experience on a comparable lakehouse platform will be considered, with the expectation of becoming effective on Databricks quickly.

~ At least one year building agentic systems that reached production use, or equivalent demonstrated work.

Familiarity with modern machine learning frameworks and a strong instinct for reusable, scalable engineering patterns.

Experience establishing an ML or AI platform capability in an organisation that did not previously have one.

~ Familiarity with CI/CD and infrastructure-as-code tooling for data pipelines using Azure DevOps, Databricks Declarative Automation Bundles (DABs), GitHub Actions, Terraform, or equivalent.

~ Good understanding of data governance, metadata management, and cataloguing in enterprise environments.

~ Exposure to model serving and inference at scale — containers, REST endpoints, latency and throughput targets — or to feature stores, retrieval pipelines, or LLM cost-attribution tooling.

~ Commercial real estate, professional services, or another domain where the data is messy, entities are inconsistently defined, and subject matter experts are the source of truth.

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. The company will not pay less than minimum wage for this role.
The compensation for the position is: $ 178,500.00 - $210,000.00Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at or email