Jobs in the United States

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Senior Software Quality Engineer
Humana
Louisville, KY · Boston, MA · Dallas, TX · New York, NY
Senior Software Quality Engineer will be responsible for server-side back-end and UI test execution. This role develops and designs test cases to validate the medical analytic decision…
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FPGA Design Engineer
Actalent
North Reading, MA
- $90 to $100 USD / hour
FPGA Design Engineer - Robotic Platforms!!Job DescriptionWe are seeking a highly skilled and motivated FPGA Engineer to join our cutting-edge robotics team focused on developing advanced…
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Electrical Test Engineer
Actalent
Derry, NH
- $40 to $60 USD / hour
Job Title: Electrical Test EngineerJob DescriptionThe Electrical Test Engineer designs, prototypes, and tests electronic circuits to develop advanced flame scanners and combustion control…
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Substation P&C Engineer
Actalent
Lake Mary, FL
- $35 to $45 USD / hour
Seeking a Substation Protection & Control (P&C) Engineer with 13 years of experience supporting high-voltage substation projects. This position is ideal for an early-career electrical…
Added 1 min ago
Frontend Engineer II, Ground Control Console
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
As a Frontend Engineer on the Leo Ground Control Console team, you'll build the web platform that Leo's engineers and operators use every day to run the constellation. That includes mission…
Added 1 min ago
Software Development Engineer , Ground Control Console (GC2)
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
As a Software Development Engineer II on the Leo Ground Control Console team, you'll build the services, infrastructure and platform that power the web tools Leo's engineers and operators…
Added 1 min ago
Silicon Development Infrastructure Security, Annapurna ML
Annapurna Labs (U.S.) Inc.
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We're looking for a Security Engineer to own the security posture of the cloud and hybrid infrastructure that powers silicon development at Annapurna Labs. You'll be a single-threaded…
Added 1 min ago
Senior Regional Automation Engineer
Amazon.com Services LLC
Fort Worth, TX · Lakeland, FL · Wilmington, OH · San Bernardino, CA
As the Senior Regional Automation Engineer, you will engage on all aspects of high-level support for the control systems within a region of Amazon sites. This work takes the form of direct…
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Software Development Engineer I, Inference models optimization, AWS Neuron Inference
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Cupertino, CA
As a Software Engineer I, you will design and implement business-critical features and contribute to optimizing the performance of models on AWS Trainium end to end. We operate in spaces…
Added 1 min ago
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Entry-Level Pavement Geotechnical Eng to Senior Pavement Eng
ADVANCED INFRASTRUCTURE DESIGN
1 Crossroads Drive, Hamilton, NJ
- $75,000 to $140,000 USD / year
…Hamilton, New Jersey office. Whether you are an entry-level engineer ready to build a career in pavement engineering, a senior engineer looking for growth opportunities, or a licensed…
Added 2 mins ago
Lead Instrumentation & Controls Engineer 1 - Nuclear
Sargent & Lundy
Richland, WA
Added 3 mins ago
AI Transformation Lead - Investments
Lazard Confidential
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…with investment fluency: not a project coordinator, and not an engineer who needs the investment problem…
Added 3 mins ago
DevOps Engineer
WTW
Draper, UT · Salt Lake City, UT · Tampa, FL
Added 3 mins ago
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Life Sciences AI Research Engineer
Advanced Micro Devices
Longmont, CO
- $152,000 to $228,000 USD / year
AMD is looking for a hands-on research engineer
Added 3 mins ago
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Medical Imaging and AI Research Engineer
Advanced Micro Devices
Longmont, CO
- $152,000 to $228,000 USD / year
AMD is looking for a research engineer with practical implementation experience to advance AI-based medical imaging at the intersection of clinical imaging, deep learning, and…
Added 3 mins ago
Engineer I, Systems Reliability Engineering
Henderson, NV
Added 4 mins ago
React Full Stack - Senior Software Engineer
Marsh Agency LLC
Remote, United States
…different and how you can make your mark as a Senior Software Engineer at Marsh…
Added 5 mins ago
RFP Analyst
LOS ANGELES CAPITAL MANAGEMENT LLC
Los Angeles, CA
…dynamic equity management, utilizing proprietary technology to engineer equity portfolios that adapt to today’s equity market. The Firm’s senior investment professionals have worked…
Added 6 mins ago
Staff Electronic Design Engineer
Rivian
Palo Alto, CA
Added 6 mins ago
Senior Data Integration Engineer
Fermi Inc
Dallas, TX
…first engineering hire on that team. As Senior Data Integration Engineer, you will build, deploy and operate the integrations that turn approved enterprise source data into reliable,…
Added 7 mins ago
IT Security & Infrastructure Administrator
RYZE Claim Solutions
Remote, United States
Added 7 mins ago
QA Automation Engineer / Tester
RYZE Claim Solutions
Remote, United States
We're looking for a detail-oriented and technically skilled QA Automation Engineer / Tester to strengthen software quality, improve testing efficiency, and ensure the reliability of our…
Added 9 mins ago
Machine Learning Engineer
Vitol
Houston, TX
As our portfolio of work continues to grow, we are looking for an experienced Machine Learning Engineer to join our AI and machine learning team. The individual will work closely with AI,…
Added 9 mins ago
DevOps Engineer
WTW
Salt Lake City, UT · Tampa, FL
Added 10 mins ago
Senior Scientific Software Engineer, Analytics and Workflows
Genentech
South San Francisco, CA
This role is based in South San Francisco and offers a hybrid schedule working 3 day per week on campus

Vitol

Machine Learning Engineer

Houston, TX, United States

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Job details

Posting language: English
Posted: Nov 11, 2026

Original job description

Company Description Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets. Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from more than 40 offices worldwide. Revenues in 2025 were $343bn. Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here. This role is located in Houston, TX onsite 5x a week

Job Description

As our portfolio of work continues to grow, we are looking for an experienced Machine Learning Engineer to join our AI and machine learning team. The individual will work closely with AI, data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications. We work across the trading business, operations, and other support functions; so the individual will need to be comfortable working with a variety of stakeholders and technologies. The successful candidate will bring a strong machine learning background and have extended this expertise through hands-on delivery of GenAI projects. The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing, exploratory analysis, model selection and tuning, and implementation of production models. The successful candidate will join a team of experienced, collaborative practitioners, who are (pragmatically) solving some of the most challenging and impactful problems the energy industry is facing; as well as pushing the boundaries around the ‘art of the possible’.

Core Responsibilities include:

Design, develop, and deploy end-to-end machine learning and data science solutions across our wider business activities (including trading, operations, and support functions) - from raw data ingestion through to production-grade models and monitoring
Drive adoption and development of the firm's internal GenAI platform and applications, extending capabilities through new integrations, data connectors, and domain-specific context engineering; work closely with trading desks and operational teams to identify high-value use cases, embed the tool into day-to-day workflows, and ensure outputs are robust, and trusted by end users.
Design, prototype, and deploy agentic LLM workflows, including tool use and function calling; develop reusable prompts and AI Skills integrated into business workflows
Evaluate and benchmark LLM and agentic solutions, engaging regularly with stakeholders to gather feedback and refine solutions
Apply a broad range of modelling techniques - including time-series forecasting, NLP, classification, and generative AI - to commodity pricing, supply/demand signals, trade flow analysis, and operational optimisation problems
Own the full data science and machine learning lifecycle on assigned projects: data sourcing and cleaning, exploratory analysis, feature engineering, model selection and validation, deployment, and ongoing performance monitoring
Build and maintain robust, well-tested, production-quality code; contribute to shared infrastructure including ML pipelines, data orchestration, and model serving layers
Integrate ML and GenAI outputs into existing trading systems, dashboards, and workflows; work with software engineers to ensure reliable, scalable adoption across the business
Communicate analytical findings and model outputs clearly to non-technical stakeholders; present results, assumptions, and limitations in a manner that supports confident commercial decision-making
Actively participate in code reviews, experiment design, and tooling decisions; mentor colleagues and help raise the overall standard of analytical and engineering practice across the team

Qualifications

Master’s degree or equivalent in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field
Fluency in Python for both data science and engineering purposes: clean, modular, well-documented code, with strong understanding of software engineering best practices including version control, testing, and code review
5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production environments
Demonstrable experience applying a broad range of ML methodologies (supervised and unsupervised learning, time-series modelling, NLP/LLMs, optimisation) to real-world business problems
Strong proficiency with ML frameworks (e.g. PyTorch, scikit-learn, Transformers) and experience building or consuming LLM-based pipelines and GenAI applications. Hands-on delivery of GenAI projects, including prompt engineering and agentic patterns such as tool use and function calling
Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerisation (Docker/Kubernetes), CI/CD, data pipeline orchestration (e.g. Airflow, Dagster), and model serving
Strong analytical and problem-solving ability: capable of defining and scoping open-ended problems, proposing sound methodological approaches, and defending modelling choices with rigorous reasoning
Excellent written and verbal communication skills, with the confidence to present model outputs, caveats, and commercial implications clearly to non-technical audiences including traders and senior management
Genuine intellectual curiosity about commodities markets, global energy flows, and the commercial dynamics of trading; willingness to develop domain knowledge as part of the role

Desirable Experience

Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts
Experience surfacing ML outputs through interactive tools (e.g. Dash, Streamlit, or similar) and presenting use cases to non-technical audiences, including traders and senior management
Time-series modelling in a trading or financial context, including both ML-based and econometric approaches (e.g. ARIMA, cointegration, regime-switching models)
Experience building retrieval-augmented generation (RAG) pipelines or multi-agent systems
Experience building Model Context Protocol (MCP) servers or clients
Data orchestrators (Airflow, Dagster) and cloud-based ETL/ELT pipelines
Prior work on LLM evaluations (evals) or model benchmarking

Personal Characteristics

A self-motivated individual who thrives on seeing the results of their work make an impact in the business
Curiosity for emerging AI developments, with a proactive commitment to continuously learning, experimenting and expanding your skills
Pragmatic and delivery-focused: comfortable navigating ambiguity, balancing rigor with speed, and making sound judgements under uncertainty
Methodical and detail-oriented: rigorous in experimental design, data validation, and code quality, with a disciplined approach to documenting assumptions and results
Resourceful, able to think creatively and adapt in a dynamic environment
Team player, with an open non-political style and a high level of integrity
Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world’s energy flows

Additional Information What we offer

Large diversity of projects with real-world impacts on a truly global scale
Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
Close collaboration with various business units across our key regions (eg. London, Singapore, Houston, Geneva)
A highly motivated DS and ML team comprised of experienced individuals with a supportive attitude and great team spirit
Being part of the energy transition through increased emphasis on renewable & alternative energy sources at a pivotal moment in the industry
Strong management commitment to incorporating machine learning into the future of Vitol’s operations

Comprehensive benefit coverage includes:

Medical
Dental
Vision
Paid Vacation
401k with company contributions
Life insurance
Short-term & Long-term disability

This role is located in Houston, TX onsite 5x a week All your information will be kept confidential according to EEO guidelines.

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Jobs in the United States