🤖 Junior Machine Learning Engineer | London | Hybrid Working
🚀 Are you a Junior Machine Learning Engineer looking to launch your career building intelligent systems that solve real-world industrial and operational challenges?
We’re looking for a motivated and technically curious Junior ML Engineer to join our hybrid-working London team. You’ll play a key role in developing machine learning workflows, building scalable pipelines, and contributing to intelligent decision-making systems that power next-generation industrial optimisation.
This is a rare opportunity to join an early-stage, high-growth AI startup, working alongside experienced engineers and founders who are building mission-critical technology for large enterprise clients operating critical infrastructure. You’ll gain exposure to cloud engineering, multimodal LLMs, predictive modelling, and emerging AI techniques — all while shaping a platform designed for reliability, scalability, and intelligence.
In this role, you’ll:
🧠 Develop and optimise machine learning workflows, including predictive modelling, anomaly detection, and decision-making systems
🛠 Support the design and maintenance of cloud-based infrastructure (GCP, Azure, or AWS)
📡 Contribute to data pipelines, model deployment, monitoring, and scaling across production environments
🖼 Work with multi-modal LLMs — combining text, images, and sensor data — to support real-time operational intelligence
🔍 Explore advanced approaches such as RAG, reinforcement learning, and Model Context Protocol (MCP)
🤝 Collaborate closely with founders and engineers to shape product direction, technical decisions, and engineering best practices
⚙ Assist with taking prototypes through to robust, production-ready systems
What’s in it for you?
📈 Rapid Career Growth – Work closely with founding engineers, take on real responsibility, and accelerate your development in ML, cloud, and MLOps.
💡 Innovation Culture – Join a startup that values experimentation, deep technical curiosity, and problem-solving.
🏢 Hybrid Flexibility – Balance home working with time in our London environment for collaboration and rapid iteration.
🌍 High-Impact Work – Build systems used by enterprise clients operating critical infrastructure — your work truly matters.
💰 Competitive Package – £40k base salary, with potential for equity as the company grows.
What We’re Looking For:
🎓 BSc or above in Machine Learning, Computer Science, Engineering, or a related technical discipline (or equivalent experience)
🐍 Strong Python skills and experience with ML frameworks and tooling
☁️ Exposure to at least one major cloud platform (GCP, Azure, AWS)
📊 Understanding of ML workflows — especially anomaly detection, predictive modelling, and model evaluation
🔧 Familiarity with MLOps concepts such as deployment, monitoring, and reproducibility
🖥 Interest in multi-modal LLMs and emerging techniques (RAG, RL, MCP)
🔥 Startup mindset — adaptable, hands-on, and comfortable working in fast-moving environments
If you’re passionate about building real AI systems, excited by the idea of shaping early-stage technology, and eager to grow within a cutting-edge engineering team — we’d love to hear from you.
👉 Apply now and help build the future of intelligent industrial operations.
