Junior Developer

Old Street Location
London, UK
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Compensation
£55,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computer Vision Cloud Computing Databases Continuous Integration Django Web Framework Python (Programming Language) PostgreSQL Machine Learning MongoDB
+15 more
Node.Js NoSQL Object Detection Commercial Software Software Maintenance Standard Sql Software Engineering SQL Databases ReactJS Flask (Web Framework) Backend Git Fastapi Machine Learning Operations Restful APIs

Job description

I am working with an innovative technology company that uses AI, machine learning and modern software engineering to build products that solve real-world transport challenges. They are looking for a Junior Software Developer with around 1 to 2 years of commercial experience to join their growing engineering team. This is an excellent opportunity for someone who enjoys backend development and wants to gain broader commercial experience across Python, Node.js, databases, cloud technologies and production machine learning systems. Rather than being restricted to one area, you will contribute across the full software development lifecycle, giving you the opportunity to broaden your technical skills and accelerate your career. What You Will Be Doing

  • Developing backend services and APIs using Python and Node.js
  • Working with PostgreSQL, SQL and MongoDB
  • Contributing to React-based frontend applications
  • Supporting the training and deployment of commercial machine learning models
  • Working with object detection and computer vision functionality
  • Deploying and maintaining applications using AWS
  • Collaborating with an experienced engineering team to build clean, scalable and maintainable software What They Are Looking For

Requirements

  • Around 1 to 2 years of commercial software development experience
  • Commercial experience with Python and/or Node.js
  • Experience working with SQL or NoSQL databases, including PostgreSQL, SQL or MongoDB
  • Practical commercial exposure to machine learning projects
  • Experience contributing to the deployment of an ML solution as part of a team Experience with React, AWS, Django, Flask, FastAPI, REST APIs, Git or CI/CD would also be beneficial. You do not need to be a machine learning specialist. However, you should have practical industry experience working with and deploying machine learning solutions as part of a commercial team, rather than exposure limited to coursework or personal projects.

Benefits & conditions

  • Broad engineering role covering backend development, databases, cloud and machine learning
  • Hands-on exposure to commercial AI and computer vision technology
  • Opportunity to work on real products that solve practical transport challenges
  • Modern technology stack
  • Visible contribution within a growing engineering team
  • Genuine scope to learn, take ownership and progress
  • Flexible hybrid working
  • Salary of up to £55,000 The company is based in Central London, close to Old Street. New starters are encouraged to spend 1 to 2 days per week in the office initially to get to know the team and wider business. The interview process includes an initial screening interview, a take-home technical task, a technical interview and a final management discussion

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on itjobpro.co.uk

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

43 sec

Software engineering journey and local Manchester roots

Jonathan Tang · Coffee With Developers

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

2:55 min

Transitioning from traditional software paths to machine learning engineering

Tarek Ziadé · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all