Machine Learning Engineer (0-3 Years Experience)

Machine Learning Engineer (LLM / AI Systems)

London / Hybrid 0-3 Years Experience Competitive Salary

Are you obsessed with AI and large language models?

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.

What You'll Be Doing

• 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.

What We're Looking For

• 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.

What You'll Get

• 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.

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