Hybrid Backend Python Engineer - AI Energy Forecasting

Modo Energy; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Employee Equity Scheme

Private Top-Tier Healthcare

25 days of annual leave

Job summary

An innovative energy technology company in London is seeking a backend Python Engineer for its Modelling team. The successful candidate will build and maintain services for energy forecasting models, collaborating with data scientists and analysts. Ideal applicants will have 3–5 years of Python experience, expertise in Django REST Framework, and proficiency in task orchestration with Celery and AWS. This role offers a hybrid work environment, including office days on Tuesday, Wednesday, and Thursday, alongside competitive salary and benefits.

Qualifications

• 3–5 years of Python development experience with strong backend fundamentals.
• Solid experience in Django REST Framework in production environments.
• Proficiency in Celery for task orchestration.

Responsibilities

• Build and maintain backend services for energy forecasting models.
• Work with data scientists to take new models to production.
• Own AWS infrastructure and deployment across all lifecycle stages.

Skills

Python

Django REST Framework

Celery

Docker

AWS

Infrastructure as Code (Terraform)

pytest

AI coding tools

Education

Bachelor’s/Master’s degree in Information Technology or Computer Science

Tools

Terraform

Docker

Job description

An innovative energy technology company in London is seeking a backend Python Engineer for its Modelling team. The successful candidate will build and maintain services for energy forecasting models, collaborating with data scientists and analysts. Ideal applicants will have 3–5 years of Python experience, expertise in Django REST Framework, and proficiency in task orchestration with Celery and AWS. This role offers a hybrid work environment, including office days on Tuesday, Wednesday, and Thursday, alongside competitive salary and benefits.