Jobs in the United States

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Added just now
Acoustical Engineer for Product Development
Bose Corporation, U.S.A
MA
…Licensing group is seeking a passionate, hands-on Acoustical Engineer to take part in supporting our dynamic needs as we develop partnerships across many industries – all with the goal of…
Added just now
Acoustical Engineer - Wearables
Bose Corporation, U.S.A
MA
…Licensing group is seeking a passionate, hands-on Acoustical Engineer to take part in supporting our dynamic needs as we develop partnerships across many industries – all with the goal of…
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Develop Digital Systems Design -- PLC, DCS, HSI, networked computer systems.
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AI Transformation Lead - Investments
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Added 1 min ago
3R
Industrial Utilities in South Dakota, USA - FU
3A Recruiting LLC
Green Bay, WI
- $31.32 to $36 USD / hour
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Added 1 min ago
DevOps Engineer
WTW
Draper, UT · Salt Lake City, UT · Tampa, FL
Design, build, and maintain secure, reliable, and scalable cloud infrastructure primarily within Microsoft Azure.
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Life Sciences AI Research Engineer
Advanced Micro Devices
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- $152,000 to $228,000 USD / year
AMD is looking for a hands-on research engineer
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AM
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…
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Senior Product Engineer
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Manufacturing Support Engineer
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Assistant Project Manager
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Must have excellent oral and written communication skills
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Scientist, Systems Engineer - Chief Engineer, Airborne Imaging *Sign on bonuses starting at $15K*
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Job Title: Chief Engineer, Airborne Imaging *Sign on bonuses starting at $15K*
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Lead, Information Security Systems Engineer - Secret Clearance
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Senior Data Integration Engineer
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…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,…
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QA Automation Engineer / Tester
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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…
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Civil Engineer
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Stantec’s Rochester Transportation group is seeking a Ciivil Engineer ready to apply highway and urban street design experience to meaningful projects that improve how people move across…
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Sr Environmental Engineer
Stantec
Denver, CO · Salt Lake City, UT · Phoenix, AZ
Stantec is seeking a Senior Environmental Scientist, Civil Engineer, or Geologist to join our growing Site Assessment and Remediation Team. The successful candidate will serve as a…
Added 5 mins ago
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Civil Engineer
CLMI Group, LLC
Los Angeles, CA
- $140,000 to $149,000 USD / year
Perform highly complex civil engineering work related to the planning, design, and construction of District facilities and site improvements; provide technical direction to District…
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Senior Ground Software Engineer II
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As a Senior Ground Software Engineer II based out of Rocket Lab’s global headquarters in Long Beach, CA, you will serve as a technical authority for spacecraft ground software across our…
Added 5 mins ago
Senior Ground Software Engineer I
Rocket Lab Corporation
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As a Senior Ground Software Engineer I based out of Rocket Lab’s global headquarters in Long Beach, CA, you will serve as a technical authority for spacecraft ground software across our…
Added 6 mins ago
Electrical Engineer
Ecliptic Enterprises Corporation
San Luis Obispo, CA
Ecliptic is growing its hardware engineering team at our San Luis Obispo facility. As an Electrical Engineer you will design, develop, test, and deliver high reliability electronics for…
Added 7 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,…

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

Acoustical Engineer for Product Development

Acoustical Engineer - Wearables

Lead Instrumentation & Controls Engineer 1 - Nuclear

AI Transformation Lead - Investments

Industrial Utilities in South Dakota, USA - FU

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Senior Data Integration Engineer

QA Automation Engineer / Tester

Civil Engineer

Sr Environmental Engineer

Civil Engineer

Senior Ground Software Engineer II

Senior Ground Software Engineer I

Electrical Engineer

Machine Learning Engineer

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Jobs in the United States