ML Engineer & Data Platform Architect — SaaS AI

Tadaweb; England; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading technology company in the United Kingdom is seeking a Machine Learning Engineer with Data Engineering expertise. In this hybrid role, you will design scalable data pipelines, develop machine learning models, and work across AI systems. The ideal candidate has a strong background in Python, data processing, and cloud platforms. This position offers an opportunity to join a dynamic team focused on innovation and impact, along with a supportive company culture that values employee wellbeing.

Benefits

Human-focused company culture

Social calendar with events

Performance-based work environment

Qualifications

• Experience in both data engineering and machine learning with a strong project portfolio.
• Track record of delivering end-to-end ML solutions integrated into SaaS products.
• Strong understanding of data modeling and system performance troubleshooting.

Responsibilities

• Develop, maintain, and optimize scalable data pipelines and ML models.
• Integrate ML models into SaaS platform for PAI and OSINT investigations.
• Monitor and troubleshoot data and ML systems for performance improvements.

Skills

Python

Machine Learning

Data Engineering

Data Processing

SQL

NoSQL

Cloud Platforms (AWS, Azure, GCP)

MLOps

Problem-solving

Collaboration

Tools

TensorFlow

PyTorch

Scikit-learn

Apache Airflow

Spark

Kafka

Docker

Job description

A leading technology company in the United Kingdom is seeking a Machine Learning Engineer with Data Engineering expertise. In this hybrid role, you will design scalable data pipelines, develop machine learning models, and work across AI systems. The ideal candidate has a strong background in Python, data processing, and cloud platforms. This position offers an opportunity to join a dynamic team focused on innovation and impact, along with a supportive company culture that values employee wellbeing.