Machine Learning Engineer (0-3 Years Experience)

• Research, train, and fine-tune large language models (LLMs) for real-world applications.
• Develop and optimise pipelines for data collection, preprocessing, and model evaluation.
• Collaborate with product engineers to deploy models into scalable production systems.
• Experiment with prompt engineering, RAG architectures, and multimodal models.
• Contribute to internal tools for monitoring, testing, and improving AI performance.
• Stay on the edge of ML/AI research - we give you time and resources to explore, learn, and publish., * Hands-on mentorship from senior ML engineers, AI researchers, and founders.
• Freedom to experiment with state-of-the-art models, tools, and frameworks.
• Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.).
• Flexible working - remote-first culture with in-person team sessions for collaboration.
• Career acceleration - opportunities to own projects, lead development, and shape the product roadmap.
• An environment that values learning, creativity, and personal growth over bureaucracy.

Perfect For

• Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering.
• Researchers or data scientists eager to move from theory to real-world deployment.
• Builders who want to join an early-stage company where their work genuinely moves the needle.

Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications, AI Innovation, AI Product Development, AI Tools, Research Engineer, ML Developer, Data Engineer, Graduate AI Engineer, Entry Level AI Engineer, Junior ML Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems.

London / Hybrid 0-3 Years Experience Competitive Salary

Are you obsessed with AI and large language models?, * 0-3 years of experience in Machine Learning, Data Science, or NLP/LLM.

• Strong Python skills; exposure to PyTorch / TensorFlow / Hugging Face.
• (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG).
• Loves solving complex problems and thrives in a fast-moving startup environment.
• Is curious, ambitious, and eager to build real AI systems that have an impact.

We're an early-stage startup building real-world products powered by LLMs - from intelligent copilots to adaptive automation tools - and we're looking for curious minds to help us shape the future of AI.