Machine Learning Engineer

🤖 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.