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Added 1 hour ago
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(USA) Senior, Software Engineer
Walmart
SUNNYVALE, CA
- $117,000 to $234,000 USD / year
Integrate AI/ML components and leverage GenAI tools to enhance software intelligence and development efficiency.
Added 6 hours ago
SL
AI/ML Architect - Consultant / Senior Consultant (US - WEST)
Slalom, LLC
Denver, CO
- $142,000 to $173,500 USD / year
Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
Added 7 hours ago
Forward Deployed Engineer
Arkham Technologies
Remote, United States
As a Forward Deployed Engineer, you help drive the AI transformation journey for our customers. You work hands-on across data science, AI architecture, and implementation, partnering…
Added 1 day ago
Senior Java Specialty Payments Software Engineer
Wells Fargo
BOSTON, MA
Wells Fargo is seeking a Senior Java Specialty Payments Software Engineer to join our Global Payments and Liquidity team to be part of the transformation initiative leveraging GenAI to…
Added 1 day ago
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Principal Software Engineering
AT&T
Dallas, TX
- $174,100 to $261,100 USD / year
Prepare, transform, and engineer data for ML and GenAI use cases.
Added 1 day ago
Senior Machine Learning Engineer
Robert Half
Houston, TX
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the…
Added 1 day ago
Staff Engineer, Databricks Platform
Modernizing Medicine, Inc.
Boca Raton, FL
We are seeking a hands-on Senior/Staff Data Platform Engineer to own and evolve our established Databricks platform on AWS. The platform supports mission-critical data, analytics, and AI…
Added 1 day ago
Consultant - R01573317
Brillio
Remote, United States
Product Management: Senior Software Development Lead
Added 1 day ago
Senior Manager, AI Enablement Engineer
Scotiabank
Dallas, TX
The Senior Manager, AI Enablement Engineering leads AI adoption and delivery for a designated business area, owning the AI opportunity portfolio and translating business priorities into…
Added 1 day ago
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Senior Software Developer
TEKsystems
Fairfax, VA
- $70 to $80 USD / hour
Pyramid Systems is seeking a Senior Software Engineer / Developer AI to help drive the development and deployment of advanced AI-powered solutions supporting federal initiatives. This role…
Added 2 days ago
Senior Staff AI/ML Engineer, Cloud AI Research
Google
Mountain View, CA
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Added 2 days ago
Senior Software Engineer, AI/ML GenAI, Core
Google
Kirkland, WA
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Added 2 days ago
Senior Data Engineer, AWS Analytics Engineering
Amazon
Seattle, WA
We are seeking a Senior Data Engineer to join our team. This individual will own 3-5 data domains end-to-end, operate hundreds of pipelines, and drive architectural improvements that impact…
Added 2 days ago
Senior Data Engineer, AWS Analytics Engineering
Amazon
Seattle, WA
We are seeking a Senior Data Engineer to join our team. This individual will own 3-5 data domains end-to-end, operate hundreds of pipelines, and drive architectural improvements that impact…
Added 2 days ago
Senior Manager, Data Science
Nordstrom
Seattle, WA
We are looking for a Senior Manager of Data Science to lead and evolve a team of data scientists and ML operations engineers responsible for improving how customers discover and shop for…
Added 2 days ago
Senior Data Scientist - Personalization & Relevance
Nordstrom
Seattle, WA
We are looking for a Senior Data Scientist to advance the science behind personalization, recommendations, search, and browse relevance across our digital shopping experience.
Added 2 days ago
Senior Lead Software Engineer - AI/ML/Databricks/Python
JPMC page
Atlanta, GA · GA · Plano, TX
As a Senior Lead Software Engineer - AI/ML/Databricks/Python at JPMorganChase within the Consumer and Community Banking, you are an integral part of an agile team that works to enhance,…
Added 2 days ago
Senior Data Engineer - Data And AI
Digital Federal Credit Union
Chelmsford, MA
The Sr Data Engineer -Data and AI extends the core data engineering responsibilities by building cloud-native, reusable data products and AI-ready data capabilities. The role applies modern…
Added 2 days ago
Senior AI Engineer, Big Data & AI Solutions
Mastercard
O'Fallon, MO
As a Senior AI Engineer, you will work at the intersection of big data engineering and AI/ML, helping build and support the data, features, models, and production processes behind fraud…
Added 2 days ago
Principal Machine Learning Engineer
Cushman & Wakefield
Creve Coeur, MO
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…
Added 2 days ago
AI Agentic Engineer
FlightSafety International Inc
Seattle, WA
As an AI Agentic Engineer on the Platform AI Engineering team, you will drive the next wave of automation in IT operations by designing and deploying agentic AI solutions that proactively…
Added 2 days ago
Principal Machine Learning Engineer
Amgen
Washington D.C., DC
We are seeking a Principal Machine Learning Engineer - Amgen’s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI solutions.…
Added 2 days ago
IG
AI Engineer Architect / FDE (Prototype/POCs)
Insight Global
Chicago, IL
- From $94 USD / hour
2. Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.
Added 2 days ago
IG
AI Engineer Architect / FDE (Prototype/POCs)
Insight Global
Chicago, IL
- From $94 USD / hour
2. Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.
Added 3 days ago
W
Senior AI Engineer
Worldpac
Oakbrook, IL
- $150,000 to $195,000 USD / year

Cushman & Wakefield

Principal Machine Learning Engineer

Creve Coeur, MO, United States

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Job details

Posting language: English

Original job description

Summary

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.

Job Description

Role Summary

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.

Key Responsibilities

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 organization's 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.

Essential Skills, Knowledge & Experience

+ 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.

+ A track record of setting technical standards that outlasted your own involvement, and of leading through influence without formal authority.

+ 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._

+ Experience with MLflow or an equivalent for experiment tracking, model registry, tracing, and reproducibility.

+ At least one year building agentic systems that reached production use, or equivalent demonstrated work. You should be able to walk us through a system you built: how it was orchestrated, how you evaluated it, what guardrails you put around it, how it failed, and what standard you set for whoever built the next one.

+ Proven ability to mentor engineers at every level and materially raise the technical standard of the teams you work with.

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

Preferred Skills, Knowledge & Experience

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

+ Experience embedding across multiple teams, geographies and time zones as a principal-level technical contributor.

+ 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.

+ Model Context Protocol (MCP) or comparable tool-integration standards.

+ 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.

\#LI-Remote

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. In addition to a co...

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More about this job

Skills

Machine learning
ML
Databricks
Microsoft Azure
Documentation
Data engineering
CI/CD
Python
SQL
Test automation
Apache Spark
Unity
Mlflow
Direct inward dialing
Infrastructure as code
DevOps
GitHub
IBM Terraform

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