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Contract Google Machine Learning Engineer Jobs in Exton, PA

HCL Global Systems Inc

AI/ML Engineer

Malvern, PA · On-site

HCL Global Systems Inc is a technology company specializing in AI and machine learning solutions. They are seeking an AI/ML Engineer to implement agentic frameworks, develop generative AI ...

Siri InfoSolutions Inc

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

Contract * Knowledge of MLOps platforms * Good experience with Sage Maker * Proven 8+ years of ... Knowledge in the life cycle management of Machine Learning models. * Proficiency with Machine ...

RELX

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

As a Senior Machine Learning Ops Engineer, you will bridge Data Science and Engineering to develop ... and/or Google) • Experience with Search/vector/graph technologies (e.g., Elasticsearch ...

Slalom Consulting

General Information

Philadelphia, PA · On-site

$60.50 - $78.75/hr

Project Based Contract Through End of Year with Likely Extension About Us Slalom is a purpose-led ... Engineer to design, deploy, and operate production-grade machine learning and Generative AI ...

Pwc

AI Engineer

Philadelphia, PA

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

KPMG

Director, AI Engineer

Philadelphia, PA · On-site +1

Work closely with our Microsoft, Google, Salesforce, and other related platform teams to develop ... Professional AI Architect, Machine Learning Engineer) or equivalent are a plus * Advanced degree ...

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All JobsContract Google Machine Learning Engineer JobsContract Google Machine Learning Engineer Jobs in Exton, PA

Contract Google Machine Learning Engineer information

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$29

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How much do contract google machine learning engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for contract google machine learning engineer in Exton, PA is $47.23, according to ZipRecruiter salary data. Most workers in this role earn between $39.66 and $48.94 per hour, depending on experience, location, and employer.

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Contract Google Machine Learning Engineer jobs near you
Infographic showing various Contract Google Machine Learning Engineer job openings in Exton, PA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 30% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $98,234 per year, or $47.2 per hour.

Machine Learning Researcher - PhD: 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Re-posted 20 hours ago

Job description

Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.
This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
What you'll do
  • Research and develop deep learning models to generate and enhance systematic trading signals and strategies across asset classes.
  • Collaborate closely with researchers, traders, and developers to improve alpha generation and identify new algorithmic trading strategies.
  • Design and conduct rigorous experiments using modern machine learning frameworks to improve predictive signals and overall trading performance.
  • Apply scientific methods to extract actionable signals from complex datasets, deepening the understanding of market behavior.
  • Translate research insights into production-ready models that can be implemented, tested, and validated in live trading environments.
  • Partner with engineering and trading teams to deploy, monitor, and iterate on models that drive trading decisions and execution outcomes.

What we're looking for
  • PhD in computer science, machine learning, mathematics, physics, statistics, or a related field
  • Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
  • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Strong programming skills in Python and/or C++
  • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
  • Hands-on experience applying deep learning on time series data
  • Strong foundation in mathematics, statistics, and algorithm design
  • Excellent problem-solving skills with a creative, research-driven mindset
  • Demonstrated ability to work collaboratively in team-oriented environments
  • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

What we offer
  • Collaborate with a world-class team of researchers, engineers, and traders
  • Gain access to best-in-class financial data and high-performance computing resources
  • Directly impact real-time trading performance through your work
  • Thrive in a collaborative, intellectually rigorous environment with a global footprint

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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