Machine Learning Engineer
Harnham
USA · Posted November 4, 2026
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Pay compared with the market
This listing does not state pay. Across 48 open machine learning engineer listings that state pay, the middle half runs $167,500 to $239,500 and the median is $199,000.
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How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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Machine Learning Engineer
USA based (Fully Remote) $180,000 to $200,000 base + bonus + equity
This is an opportunity to join a high-impact Machine Learning team where experimentation, ownership, and real-world impact sit at the core of the role. You will work on systems that directly influence commercial outcomes at scale, with the autonomy to design, test, and deploy solutions that power critical decision-making.
The Company
This organisation operates at the intersection of data, commerce, and risk, building advanced machine learning systems to solve complex transactional challenges. Their platform processes high volumes of real-time decisions, using AI to optimise customer experiences while managing risk. Machine learning is central to their product and growth, not a supporting function, giving teams strong visibility across the business.
They foster a culture that values scientific thinking, creativity, and engineering rigour, with teams structured to own their services end to end.
The Role
You will contribute to the development of production-grade machine learning systems, working across the full lifecycle from experimentation through to deployment.
* Designing and implementing machine learning models that drive real-time decisioning * Building and optimising scalable ML pipelines to enable rapid experimentation * Exploring and integrating new ML techniques to improve model accuracy and scalability * Collaborating closely with Product, Engineering, and Risk teams * Owning projects end to end, with full accountability for outcomes in production
Your Skills and Experience
* Strong commercial experience building and deploying machine learning models from first principles * Hands-on experience working in distributed computing environments such as Spark * Proficiency in Python and SQL for data processing and model development * Experience designing and running experiments rather than relying on pre-built models or APIs * Ability to translate business problems into scalable machine learning solutions
What They Offer
* Competitive base salary up to $200,000 depending on experience * Annual bonus / equity package * Fully remote working within the USA * Flexible working and unlimited paid time off * Generous parental leave and learning and development support * The opportunity to work on high-scale systems with meaningful business impact
How to Apply
If you are interested in applying your machine learning expertise to real-world challenges at scale, please submit your CV to learn more.
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