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updated august 2026

ML infrastructure Jobs in Data Science (August 2026)

206 open data science, ML and AI roles ask for ML infrastructure as of August 2026, across 106 hiring companies — 61 of them remote-friendly. Capital One is hiring the most, with 26 openings. San Francisco is the busiest market. Every listing is scraped daily from the employer's own careers page or ATS, and links straight to the official application.

Who’s hiring for ML infrastructure

CO
Capital One26
R
Reddit13
G
GoMining7
D
DoorDash6
W
Weave5
W
Wise5
RA

Senior Machine Learning Engineer

Retell AI·San Francisco Bay Area·On-site
Senior·ML Engineer·$225k – $325k
LLMsAutomated qa systemsVoice ai nlpReinforcement learning
10mo ago→
FA

Senior Machine Learning Platform Engineer

Field AI·Irvine, CA·On-site
Senior·MLOps
TerraformCloudformationMLOpsDistributed training
11mo ago→
A

Machine Learning Infrastructure Engineer, Model Inference

Abridge·SF Office·On-site
Mid·MLOps·$221k – $260k
PythonTensorflow/pytorchDocker/kubernetesModel serving
12mo ago→
EA

AI Engineer, AIOps & Infrastructure

Eloquent AI·San Francisco·On-site
AIAgentic AIMachine learningLLMs
12mo ago→
Z

Senior Staff Machine Learning Engineer - Perception

Zoox·Boston, MA·On-site
Staff·ML Engineer
Computer visionSensor fusionObject detectionTracking algorithms
21mo ago→
Q

Staff Machine Learning Engineer for AI Product

Qonto·Paris·On-site
Staff·ML Engineer
Machine learning model developmentFeature engineeringModel deploymentPython
65mo ago→

ML infrastructure jobs by city

San Francisco (40)New York (38)McLean (21)London (14)Seattle (13)Sunnyvale (10)

Skills often asked for alongside ML infrastructure

Machine Learning (193)Python (186)AI (183)PyTorch (111)Data Pipelines (102)Kubernetes (98)AWS (96)Data Science (86)

Other skills in demand

SQLStatisticsLLMsSoftware EngineeringSparkData EngineeringData VisualizationData AnalysisCloud ComputingAgentic AIDeep LearningData Quality
All skills →

Methodology: live data science, ML and AI listings tagged ML infrastructure. A job is tagged when its description names the skill, or when our enrichment step identifies it from the role. Counts are live and change with the daily scrape.