Senior Machine Learning Engineer at VC-backed predictive analytics startup

Jack & Jill/External ATS; Remote; GBP 70,000 - 90,000; Full time

Job summary

A VC-backed predictive analytics startup in the United Kingdom is seeking a Senior Machine Learning Engineer to lead the deployment of machine learning models. The role focuses on transforming complex global data into actionable insights for supply chain forecasting. Candidates should have over 5 years of experience in production environments, expertise in Python and cloud platforms, and hands-on experience with Generative AI. This position offers remote work flexibility and the chance to work in a dynamic startup environment.

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 and time‑series forecasting in high‑availability systems.

Responsibilities

• Design, develop, and deploy production‑grade machine learning models for forecasting and anomaly detection.
• Own the complete ML lifecycle from initial research to deployment and monitoring.
• Implement advanced Generative AI solutions to enhance product capabilities.

Skills

Python

SQL

AWS/GCP

Generative AI

Time-series forecasting

Containerization

Tools

Cloud platforms

Big data technologies

Job description

Senior Machine Learning Engineer is a role at a VC-backed predictive analytics startup.

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.