MLabs
Python Developer
MLabsUnited Kingdom18 hours ago
Full-timeRemote FriendlyOther
Python Developer (Product & API)

Location: Remote (UK or EU-based; UK preferred)

Type: Full-Time

Salary: £29,400 - £49,000 (Dependent on experience)

We are looking for a motivated Python Developer to join our engineering team. This is a product-focused role where you will play a key part in building and maintaining the backend services that power our core platform.

You will be responsible for designing and developing robust APIs and ensuring our backend systems are scalable and efficient. While this is primarily a backend engineering role, you will have the opportunity to work alongside our ML initiatives, helping to integrate light machine learning models into a production environment.

We are a lean, agile team that values clean code, thoughtful architecture, and a "product-first" mindset. If you enjoy solving practical problems and seeing your code directly impact users, we want to hear from you.

Key Responsibilities

  • API & Backend Development: Design, build, and maintain high-performance backend services and RESTful APIs using Python
  • Product Engineering: Work closely with the product team to translate requirements into technical solutions that drive user value
  • ML Integration: Support the integration of machine learning components into our production stack (no deep research required, but a focus on implementation and deployment)
  • System Reliability: Debug, troubleshoot, and optimize existing services to ensure maximum uptime and performance
  • Collaborative Coding: Participate in code reviews and contribute to technical documentation to maintain high standards of code quality

Requirements

  • Experience: 2+ years of professional experience in Python development (we are open to Mid-Junior level candidates with strong technical foundations)
  • Technical Stack: Deep proficiency in Python and experience with modern backend frameworks (e.g., FastAPI, Flask, or Django)
  • API Design: Proven ability to build and scale secure, efficient APIs
  • Engineering Mindset: A focus on "Product Engineering"—you care about why we are building a feature, not just how
  • Machine Learning: Familiarity with ML libraries or a basic understanding of how to serve ML models in production is a strong bonus
  • Bonus Points: Experience with Haskell is a significant plus but is not mandatory
  • Eligibility: Must be based in the UK or EU (UK-based is preferred)

Benefits

  • Competitive Salary: £29,400 - £49,000 base salary
  • Remote Work: Fully remote position within the UK/EU
  • Modern Stack: Opportunity to work with high-level Python services and functional programming concepts
  • Growth: Exposure to ML-driven product development in a fast-moving environment
  • Immediate Start: We are looking for someone to join us ASAP

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].

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