Remote Fullstack Engineer (AI/ML)

OneClickComply
Slough, UK
about 2 months ago
Apply on jobsthamesvalley.co.uk
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

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
+20 more
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

Job 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.

Requirements

  • 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.

Benefits & conditions

The OneClickComply team are integral to the 100% customer satisfaction we have here, and as such we offer one of (if not) the best benefits packages for our team.

Wellness & Healthcare

  • 24/7 GP appointments for you & family
  • Unlimited counselling & mental health support
  • Virtual gym classes & discounts
  • Virtual physiotherapy & unlimited eye tests
  • Subsidised health insurance
  • Care & special needs advice
  • 25% off video vet consultations

Leave Entitlements

  • 33 days paid annual leave
  • Unlimited leave (sabattical anyone?)
  • 10 days company sick pay
  • Paid day off for your birthday
  • Paid pet bereavement leave
  • Half-day off for your child’s first school day

Financial Benefits

  • 4,000+ retailer discounts
  • Personal finance advice
  • £1,000 monthly lottery
  • 40% off cinema tickets
  • Share options
  • Charity match donations
  • Driving Lesson Contributions
  • Interest-Free Loans
  • Travel pass advances

Food & Social Unlimited free drinks in the office (catered to you on request!) & monthly team meals

About the company

OneClickComply is changing how cybersecurity and compliance is achieved by small and medium sized businesses by automating thousands of technical tasks at the click of a button. We’re backed by a leading Venture Capital investor and work from our state-of-the-art office in Sunderland.

Apply for this position

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

Apply on jobsthamesvalley.co.uk
Prepare application

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