Senior Machine Learning Engineer at VC-backed predictive analytics startup

Jack and Jill AI; Remote; GBP 60,000 - 80,000; Full time

Job summary

A VC-backed startup is seeking a Senior Machine Learning Engineer to lead machine learning model deployment in a remote-first environment. The ideal candidate will have over 5 years of experience in production environments, expertise in Python and cloud platforms, and a focus on Generative AI and time-series forecasting. Join a tech-centric team that values professional growth and impactful solutions for global enterprises.

Qualifications

• 5+ years of experience scaling machine learning models in production environments, ideally within a product-focused startup.
• Deep expertise in Python, SQL, and cloud platforms like AWS/GCP.
• Hands-on experience with Generative AI, prompt engineering, and time-series forecasting.

Responsibilities

• Design, develop, and deploy production-grade machine learning models for forecasting, anomaly detection, and real-time visibility.
• Own the complete ML lifecycle, from research and feature engineering to automated deployment and monitoring.
• Implement advanced Generative AI solutions and RAG architectures.

Skills

Machine learning

Python

SQL

Cloud platforms (AWS/GCP)

Containerization

Big data technologies

Generative AI

Time-series forecasting

Job description

Senior Machine Learning Engineer

Company Description: VC-backed predictive analytics startup

Job Description: You will lead the end-to-end deployment of machine learning models into production, transforming complex global data into actionable supply chain insights. This role focuses on scaling robust algorithms for demand forecasting and real-time prediction within a high-growth environment, ensuring model reliability and performance using modern MLOps best practices and cloud infrastructure.

Location: Remote

Why this role is remarkable:

• Work on high-impact predictive models that solve complex, real-world logistical challenges for global enterprises.
• Join a well-funded startup backed by top-tier VCs during a critical phase of technical product scaling.
• Enjoy remote-first flexibility within a diverse, tech-centric team that prioritizes ownership and professional growth.

What you will do:

• Design, develop, and deploy production-grade machine learning models for forecasting, anomaly detection, and real-time visibility.
• Own the complete ML lifecycle, from initial research and feature engineering to automated deployment and continuous monitoring.
• Implement advanced Generative AI solutions and RAG architectures to enhance product capabilities and decision-making tools.

The ideal candidate:

• 5+ years of experience scaling machine learning models in production environments, ideally within a product-focused startup.
• Deep expertise in Python, SQL, and cloud platforms like AWS/GCP, along with experience in containerization and big data technologies.
• Hands-on experience with Generative AI, prompt engineering, and time-series forecasting in high-availability systems.