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Skill:Machine Learning Engineer

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1–2 jobs· newest first

Staff Machine Learning Engineer
PathAI · Boston, US
$197K–$284KHybrid · Full-time · Staff
AI/ML Computational Scientist Manager
Accenture Infrastructure and Capital Projects, LLC · London
Manager

+10K new in the last hour

P

Staff Machine Learning Engineer

PathAI · Posted Nov 9, 2026

Boston, Massachusetts, United States
Hybrid
Full-time · Staff
$197K–$284K per year
4+ years

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Compensation

$197,000 - $284,000 /year

Responsibilities

Applying understanding of company products and services and introducing technology innovations with respect to functionality, performance, reliability, and scalability.
Designing, developing, and maintaining the machine learning infrastructure that powers the company.
Performing research and development of machine learning algorithms to expand product capabilities.
Participating in building new experiences, improving existing products, ensuring quality assurance test designs and contributing to test systems architecture discussions.

Requirements

Master’s degree in Computer Science, Engineering, Mathematics, or a related field
Doctorate (Ph.D.) degree

Skills

Machine Learning Engineer Machine learning frameworks Software engineering best practices Artificial intelligence software development Python Designing and developing robust, performant AI algorithms for histopathology applications

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AI/ML Computational Scientist Manager

Accenture Infrastructure and Capital Projects, LLC · Posted Nov 11, 2026

London
Manager

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Design, build, and operationalize AI/ML solutions for enterprise clients, managing full lifecycle from problem formulation to production deployment.

Responsibilities

Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production

Requirements

Bachelor's Degree or equivalent
Nice to have: MS or PhD in related field
Nice to have: entrepreneurial mindset
Nice to have: client-facing skillsets in a consulting environment
Nice to have: cross-functional collaboration

Skills

machine learning engineer

deploying models in production at scale

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