Machine Learning Engineer

Machine Learning Engineer Location: London (Hybrid - 2 days onsite) Salary: Up to £160,000 (depending on experince) + package We're seeking a talented Machine Learning Engineer to help deliver innovative, production-grade AI solutions that solve complex real-world challenges. Joining a high-performing engineering team, you'll work at the intersection of software engineering, machine learning, and cloud technologies to build scalable platforms and applications that make a tangible impact. What You'll Be Doing * Design, build and deploy production-grade machine learning applications and infrastructure. * Develop scalable, reusable software components that accelerate the delivery of AI and data-driven solutions. * Collaborate with software engineers, data scientists, product teams, and stakeholders to deliver high-impact projects. * Lead technical design discussions and contribute to architecture decisions for complex ML systems. * Build and maintain cloud-native solutions across AWS, Azure or GCP environments. * Implement best practices around MLOps, deployment, monitoring, security, and scalability. * Translate complex technical concepts into clear recommendations for both technical and non-technical audiences. What We're Looking For * 4+ years' commercial experience as a Machine Learning Engineer * Proven track record of deploying and operationalising machine learning models in production environments. * Excellent Python development skills and a solid understanding of software engineering principles. * Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. * Strong knowledge of cloud platforms including AWS, Azure, or GCP. * Hands-on experience with Docker, Kubernetes, and modern DevOps/MLOps practices. * Understanding of machine learning fundamentals, statistics, and model evaluation techniques. * Strong stakeholder management and communication skills. If you're passionate about building cutting-edge AI solutions and want to work on challenging projects with real-world impact, we'd love to hear from you. Apply today to learn more about this opportunity.