# Harnham — Machine Learning Lead

- Generated: 2026-08-20 04:01:21 PM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4456493819/
- LinkedIn job ID: 4456493819
- LinkedIn posting age at fetch: 8 hours ago
- Applicants at fetch: 33 applicants
- Work model/location: Fully remote within the United States
- Compensation: $200,000–$240,000 base plus bonus and equity
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: BORDERLINE — 77%

## Posting metadata

- Seniority level: Mid-Senior level
- Employment type: Full-time
- Industries: Financial Services, Technology, Information and Media, and Artificial Intelligence

## Direct-match strengths

Python, SQL, Spark, distributed systems, production forecasting and optimization, ML/data platforms, AWS, team leadership, monitoring, and commercial alignment.

## Hard or material gaps

Material gaps remain in recent hands-on ownership of real-time model serving, formal experimentation frameworks, feature engineering, and statistical model-performance improvement. The role's four-person scope also creates overqualification risk. Keith previously explicitly approved generation for resume-performance evaluation.

## Evidence map

1. Production ML models — direct forecasting and optimization delivery at SuccessKPI; real-time decisioning is adjacent rather than explicit.
2. Python, SQL, Spark, SparkML, PySpark, SageMaker, and EMR — direct hands-on evidence.
3. Distributed systems and large-scale data processing — strong direct evidence.
4. End-to-end production delivery and monitoring — direct across AI, SaaS, data, and cloud platforms.
5. Team leadership — direct teams larger than the target team of four.
6. Formal experimentation, statistics, and feature engineering — not strongly documented in the source record.

## Full normalized job description

Machine Learning Engineering Manager
USA | Remote | $200,000 - $240,000 base + bonus + equity
A high-impact Machine Learning Engineering role focused on building and scaling production systems for real-time decisioning. You will manage a team of 4 and own end-to-end ML pipelines, working on models that directly drive commercial outcomes at scale, as well as contribute to ML research within the AI Lab.
The Company
They are a fast-growing technology business operating in the e-commerce and payments space, processing large volumes of real-time transactions. Machine learning sits at the core of their product, with strong investment in infrastructure and experimentation. Teams own services end to end, enabling engineers to drive meaningful technical impact.
The Role
• Build and deploy production-grade ML models for real-time systems
• Design scalable ML pipelines and infrastructure for high-throughput environments
• Develop offline experimentation and evaluation frameworks
• Improve model performance through statistical methods and feature engineering
• Work with distributed systems and large-scale data processing
• Partner with cross-functional teams to deliver ML solutions aligned to business needs
• Own the full lifecycle from experimentation to production and monitoring
Your Skills & Experience
• Strong commercial experience in Machine Learning Engineering
• Expertise in Python, SQL, and distributed frameworks such as Spark
• Deep understanding of model evaluation, experimentation, and statistics
• Experience building scalable ML systems from first principles
• Team leadership experience
What They Offer
• $200,000 - $240,000 base salary + bonus + equity
• Fully remote working in the US
• Unlimited paid time off and flexible working
• Comprehensive health and financial benefits, including 401k
• Learning budget and clear ownership of high-impact systems
How to Apply
Apply now to explore this Machine Learning Engineering opportunity.

## Artifact metadata

- Resume: https://bit.ly/3S06qDx
- Cover letter: https://bit.ly/4xi4TIo
- Direct resume: https://files.keithsteward.com/Harnham/Keith_Steward_Machine_Learning_Lead_4456493819_Resume.pdf
- Direct cover letter: https://files.keithsteward.com/Harnham/Keith_Steward_Machine_Learning_Lead_4456493819_Cover_Letter.pdf
- Validation: Existing validated package: two-page, 900-word resume and one-page, 248-word cover letter; active annotations, exact margins, visual inspection, and public PDF probes passed.
- Google Drive used: No