Machine Learning EngineerTechnology
- Greece
- £55000 - £92000 per annum
- Permanent
Title: Machine Learning Engineer - NLP & Moderation (CET Remote)Location: RemoteSalary: €55,000 - €92,000 Gross (depends on experience) on a B2B contractVisa Sponsorship: Not available About the RoleOur client is looking for a Machine Learning Engineer with a strong foundation in natural language processing (NLP) and a focus on content moderation. You'll be part of a high-growth AI startup that has rapidly scaled its user base and is now expanding its team to enhance moderation and safety across innovative conversational AI products.This is an opportunity to work on cutting-edge systems for roleplay, gaming, creative writing, and virtual social interactions. The role involves building robust moderation filters, ensuring safe yet uncensored interactions, and working with state-of-the-art LLMs and vision models. Key ResponsibilitiesDesign, train, and deploy filters and classifiers to moderate chatbot content.Work hands-on with PyTorch, Hugging Face Transformers, and large-scale datasets.Build and fine-tune NLP and vision models for multimodal AI applications.Set up and track model performance metrics to evaluate quality and safety.Triage urgent moderation incidents, which may require availability outside of regular hours. Who We're Looking ForComfortable with uncensored or NSFW content, with a clear ethical and safety-first approach.Experienced in or able to outline how to develop moderation systems for conversational AI.Autonomous, proactive, and capable of working in a fast-paced remote team (CET timezone alignment required).Open to working flexible hours, especially when responding to critical moderation needs. Required SkillsProficient in Python with production experience using PyTorch and Hugging Face.Strong knowledge of NLP model training and evaluation.Familiarity with moderation tools, safety layers, or toxicity filters in AI systems.Understanding of key performance metrics (e.g., precision, recall, F1 score, false positive rate).Experience training and deploying vision models is a plus. Bonus Points ForExperience with real-time data pipelines and active learning loops.Familiarity with AI applications in gaming, roleplay, or social media.Use of tracking/visualization tools like TensorBoard or Weights & Biases.