Field Deployment Engineer: ML & Edge Data

CHAOS Industries; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits paid for by the company

5% pension match

Life insurance

Cycle to Work Scheme

Free daily lunch

Unlimited PTO

Casual dress code

Job summary

CHAOS Industries is seeking a Mission Engineer to drive the deployment of our technology and develop new software solutions tailored to customer missions. This role involves troubleshooting products in the field and working collaboratively with engineering teams to translate customer needs into product requirements.

The ideal candidate will possess a strong technical background, programming skills in languages like Python, and a keen interest in machine learning. Opportunities to travel to customer sites and offices will be available as part of this dynamic position.

Qualifications

• Strong technical foundation with relevant educational background.
• Proven programming skills, ideally in Python or similar.
• Ability to travel to customer sites and offices.

Responsibilities

• Test, deploy, and troubleshoot CHAOS products in the field.
• Collaborate with engineering teams to shape product direction.
• Design and build new software products that meet customer needs.

Skills

Programming skills in Python, TypeScript/JavaScript

Machine learning and AI application

Collaboration with engineering teams

Understanding customer workflows

Education

Degree in Computer Science, Software Engineering, Data Science, Mathematics, Physics, Aerospace Engineering

Tools

Git

SSH

Linux-based systems

Job description

CHAOS Industries is seeking a Mission Engineer to drive the deployment of our technology and develop new software solutions tailored to customer missions. This role involves troubleshooting products in the field and working collaboratively with engineering teams to translate customer needs into product requirements.

The ideal candidate will possess a strong technical background, programming skills in languages like Python, and a keen interest in machine learning. Opportunities to travel to customer sites and offices will be available as part of this dynamic position.