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Machine Learning Energy Trading Jobs (NOW HIRING)

NY ยท On-site

$100 - $140/hr

You will work at the intersection of quantitative research, machine learning, and real-world trading constraints, contributing to alpha generation and risk modeling. office remote Poland Requirements ...

New

Senior Trading Analyst

Irving, TX ยท On-site

$84K - $111K/yr

... of machine learning and AI solutions 3+ years of relevant work experience (ideally on a trading ... Deep expertise in energy markets, including a strong familiarity with trading commodities and ...

Senior Trading Analyst

Irving, TX ยท On-site

$84K - $111K/yr

... of machine learning and AI solutions 3+ years of relevant work experience (ideally on a trading ... Deep expertise in energy markets, including a strong familiarity with trading commodities and ...

Develop and implement machine learning models to transform energy trading operations * Lead Proof of Concept (PoC) projects including: * Automated information extraction from unstructured data

IMC Trading is a global trading firm seeking quantitative researchers to apply state-of-the-art machine learning and deep learning to solve challenging trading problems. The role involves designing ...

Data Engineer

Austin, TX ยท Hybrid

$113K - $136K/yr

... energy trading, data science, software engineering and renewable energy management. We have a ... Support best coding practices within Habitat's software, machine-learning, and data science teams.

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

... energy trading, data science, software engineering and renewable energy management. We have a ... Support best coding practices within Habitat's software, machine-learning, and data science teams.

Machine Learning Engineer

Chicago, IL ยท On-site

$80 - $120/hr

We are expanding our team aggressively and looking ideally for individuals with trading domain ... The Machine Learning Researcher should be interested in Financial Markets, and will be directly ...

New

IMC Trading is a global trading firm seeking a Machine Learning Research Lead with proven experience in applying advanced machine learning techniques to enhance trading performance. The role involves ...

Machine Learning Engineer

Miami, FL ยท On-site

$80 - $120/hr

We are expanding our team aggressively and looking ideally for individuals with trading domain ... The Machine Learning Researcher should be interested in Financial Markets, and will be directly ...

New

Senior Trading Analyst

Irving, TX

$84K - $111K/yr

... of machine learning and AI solutions 3+ years of relevant work experience (ideally on a trading ... Deep expertise in energy markets, including a strong familiarity with trading commodities and ...

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

... of energy products globally - it trades over seven million barrels per day of crude oil and ... The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ...

Senior Machine Learning Engineer

Houston, TX ยท On-site

$117K - $154K/yr

... of energy products globally - it trades over seven million barrels per day of crude oil and ... The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ...

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Machine Learning Energy Trading information

What is the difference between Machine Learning Energy Trading vs Data Scientist in Energy?

AspectMachine Learning Energy TradingData Scientist in Energy
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of energy marketsDegree in Data Science, Computer Science, or related field; strong statistical skills
Work EnvironmentEnergy trading firms, financial institutions, energy companiesEnergy companies, consulting firms, research institutions
Industry UsageFocus on developing models for trading strategies and risk managementAnalyzing energy data, forecasting, and supporting decision-making

While both roles require strong data analysis skills and familiarity with energy markets, Machine Learning Energy Trading specialists focus on creating algorithms for trading and risk management, whereas Data Scientists in Energy analyze data to inform broader business decisions. The roles often overlap but differ in primary objectives and application areas.

Infographic showing various Machine Learning Energy Trading job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Researcher / Machine Learning Engineer

Anson McCade

Manhattan, NY โ€ข On-site

$200K/yr

Full-time

Posted 22 days ago


Job description

$200,000 - 2,000,000 USD
Onsite WORKING
Location: New York, New York - United States Type: Permanent
ML Researcher / ML Engineer
I am working with one of the world's leading quantitative trading firms, recognised for combining cutting-edge technology, quantitative research, and machine learning to solve some of the most complex challenges in global financial markets. Renowned for its research-driven culture and engineering excellence, the firm continues to make significant investments in next-generation machine learning capabilities that directly enhance trading performance and business outcomes.
As part of the continued expansion of its Machine Learning platform, the firm is looking to hire exceptional Machine Learning Researchers and Machine Learning Engineers to join several high-performing teams working across large-scale machine learning, deep learning, distributed systems, and production ML infrastructure.
The Opportunity
This is an opportunity to work alongside some of the industry's leading researchers and engineers, developing advanced AI models and production-scale machine learning systems that are deployed directly into live trading environments.
Depending on your experience and interests, you may focus on areas including:
  • Large Language Models (LLMs)
  • Foundation model training and optimisation
  • Agentic AI systems
  • Applied machine learning research
  • Model evaluation and post-training optimisation
  • Distributed systems and AI infrastructure
You'll tackle challenging mathematical and engineering problems while building scalable, production-ready AI solutions in a highly collaborative and research-driven environment.
Requirements
Successful candidates will typically possess:
  • Strong experience in Machine Learning, Deep Learning, Large Language Models, AI Infrastructure, or Distributed Systems
  • Excellent programming skills in Python and/or C++
  • Experience developing and deploying production-grade machine learning systems
  • A strong mathematical foundation and exceptional problem-solving ability
  • A passion for solving technically demanding challenges in a fast-paced environment
Why Join?
This firm offers the opportunity to work on some of the most advanced AI and machine learning challenges in the financial industry, alongside world-class researchers, engineers, and quantitative professionals.
The compensation package is exceptionally competitive, with top performers receiving industry-leading total compensation, complemented by outstanding career progression, access to cutting-edge technology, and the opportunity to make a direct impact on live trading systems from day one.