Machine Learning Full Stack Engineer Contractor (Python / Flutter / GCP) | Fully Remote / EU-Based | Rate £600-750pd | Outside IR35 | 6-months Contract Length Opportunity:
Posted Today by Owen Thomas | Pending B Corp™
£750 Per day
Outside
Remote
United Kingdom
Summary: The role of Machine Learning Full Stack Engineer Contractor involves designing and training machine learning models for real-world applications within a fully remote, EU-based start-up environment. The contractor will work closely with the founding team to build and scale backend infrastructure while integrating machine learning into a Flutter-based product. This position is ideal for individuals who thrive in fast-paced, autonomous settings and possess a strong theoretical grounding in machine learning. The contract is for six months with the potential for extension, offering a competitive daily rate.
Key Responsibilities:
- Designing and training new models from scratch for unique, real-world use cases
- Taking a hands-on, theoretical approach to machine learning beyond just implementation
- Building and scaling backend infrastructure and APIs (Python, GCP, etc.)
- Working closely with the CEO and founding engineers to iterate rapidly on product
- Helping drive the integration of machine learning into a Flutter-based product environment
Key Skills:
- Strong theoretical grounding in machine learning, with proven experience training models from scratch
- Full stack capabilities, ideally with backend experience in Python and frontend knowledge of Flutter
- Experience deploying machine learning models into production environments (ideally GCP)
- Start-up mindset: ability to move fast, take ownership, and thrive in ambiguity
- A sharp communicator who works well in lean, ambitious, high-trust teams
Salary (Rate): £750 daily
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Machine Learning Full Stack Engineer Contractor (Python / Flutter / GCP) | Fully Remote / EU-Based | Rate £600-750pd | Outside IR35 | 6-months Contract Length
Opportunity: We’re supporting a stealth-mode, venture-backed start-up led by a world-class founding team with backgrounds in top-tier tech and academia. The company is tackling a unique challenge at the intersection of machine learning, human behaviour, and mobile-first product development. They’ve assembled an exceptional early team and are now looking to bring in a Machine Learning Full Stack Contractor to help accelerate the next phase of development. If you're excited by the idea of applying ML in complex, real-world scenarios—and enjoy moving fast in a highly autonomous environment—this could be a strong fit.
What You’ll Be Doing as a Machine Learning Full Stack Engineer Contractor (Python / Flutter / GCP) | Fully Remote / EU-Based | Rate £600-750pd | Outside IR35:
- Designing and training new models from scratch for unique, real-world use cases
- Taking a hands-on, theoretical approach to ML—beyond just implementation
- Building and scaling backend infrastructure and APIs (Python, GCP, etc.)
- Working closely with the CEO and founding engineers to iterate rapidly on product
- Helping drive the integration of ML into a Flutter-based product environment
Core Skills for the Machine Learning Full Stack Engineer Contractor (Python / Flutter / GCP) | Fully Remote / EU-Based | Rate £600-750pd | Outside IR35:
- Strong theoretical grounding in ML, with proven experience training models from scratch
- Full stack capabilities, ideally with backend experience in Python and frontend knowledge of Flutter
- Experience deploying ML models into production environments (ideally GCP)
- Start-up mindset: you move fast, take ownership, and thrive in ambiguity
- A sharp communicator who works well in lean, ambitious, high-trust teams
Details for the Machine Learning Full Stack Engineer Contractor (Python / Flutter / GCP) | Fully Remote / EU-Based | Rate £600-750pd | Outside IR35:
- Contract: LTD company (UK or EU) / B2B
- Location: Remote (must be EU-based for timezone reasons)
- Duration: 6 months, with strong potential to extend
- Start: ASAP
If you're an elite engineer looking to build something technically challenging and socially impactful, apply here—we'll be in touch if it's a strong match!