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# Remote Fullstack Engineer (AI/ML)

- **Company:** OneClickComply
- **Location:** Wakefield, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Continuous Integration, Data Validation, Django Web Framework, Python (Programming Language), Machine Learning, Tensorflow, TypeScript, Web Application Frameworks, Google Cloud, Pytorch, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Prompt Engineering, Backend, Fastapi, Vue.js, Containerization, AngularJS, Scikit Learn, Kubernetes, Machine Learning Operations, Front End Software Development, Software Version Control, Data Pipelines, Docker
- **Published:** June 24, 2026
- **Apply:** https://find.jobs/jobs-near-me/remote-fullstack-engineer-ai-ml-wakefield-yorkshire/2835358502-2/

## About the Role

* 3+ years of production experience delivering fullstack AI/ML applications.
 * Proficient in Python (especially for ML with libraries such as TensorFlow, PyTorch, scikit-learn) and backend frameworks (FastAPI, Django, Flask).
 * Experience with frontend frameworks: React, Vue, or Angular.
 * Practical expertise in building and scaling ML models (LLMs, NLP, classification) and deploying them as APIs/services.
 * Strong skills in MLOps: containerisation (Docker, Kubernetes), cloud deployment (AWS, GCP, Azure), and CI/CD.
 * Experience with prompt engineering, LLM evaluation, and vector databases (Pinecone, Weaviate, FAISS).
 * Excellent communication skills and experience working cross-functionally.

## Description

* Design, develop, and deploy end-to-end AI/ML-powered features and applications using Python and modern frameworks.
 * Build, integrate, and maintain machine learning models/solutions-from data pipelines to API deployment and user-facing delivery.
 * Collaborate with product managers, compliance experts, and engineers to translate business needs into intelligent technologies.
 * Build robust backend systems and APIs (e.g., FastAPI, Django, Flask) to support AI-driven workflows.
 * Develop user-friendly frontend interfaces (e.g., React, TypeScript) that surface ML insights and drive engagement.
 * Lead the development, evaluation, and monitoring of models (LLMs, predictive/classification, agentic workflows), ensuring security and compliance standards are met.
 * Implement best practices for MLOps, including CI/CD, automated testing, model versioning, and data validation.
 * Architect integrations with vector databases, cloud platforms, and retrieval-augmented generation systems.


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