Senior Machine Learning Engineer

Senior & Lead Machine Learning Engineers | London | AI Consultancy 📍 Central London (Hybrid - up to 2 days in office) 💰 £100,000-£150,000 + Benefits Skills/ Tech: Machine Learning Lifecycle & MLOps | Python & Software Engineering Best Practices | Cloud Platforms (AWS, Azure, GCP) | Architecture & Security | Containers & Orchestration (Docker, Kubernetes) | ML/Statistical Methods | Deep Learning Frameworks (TensorFlow, PyTorch, Scikit-learn) | Technical Leadership | Stakeholder Communication | Project Ownership & Delivery Our client partners with some of the world's most recognisable brands to deliver innovative, data-driven solutions that transform customer experience, strategy, and performance. From global enterprises to digital-first disruptors, they help businesses harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly changing market. If you're looking for an opportunity to shape the future of applied AI across exciting industry sectors, this is your chance. ROLES: Senior ML Engineers (Up to £110K)

• Build & deploy production-grade ML systems, tools, and infrastructure at scale
• Design scalable, reusable solutions and lead technical architecture & delivery standards
• Partner with engineers, data scientists, and stakeholders to solve key problems and translate ML into real-world impact Lead Machine Learning Engineers (Up to £130K)
• Set technical direction, guide priorities, and make key architectural decisions on complex ML projects
• Design & deliver scalable ML systems, owning roadmaps and execution across ambiguous, high-risk workstreams
• Build and elevate teams — hiring, mentoring, and driving shared engineering standards
• Act as a trusted advisor to stakeholders, shaping strategy and adopting new technologies to stay ahead What You'll Bring
• Go-to technical specialist with deep expertise and broad problem-solving ability
• Strong Python background with hands-on ML deployment (TensorFlow, PyTorch, Scikit-learn)
• Cloud expert (AWS/Azure/GCP) with experience building and leading full-stack solutions
• Skilled in containerisation and orchestration (Docker, Kubernetes)
• Proven leader — coaching teams, owning delivery, and partnering effectively with stakeholders Apply now and become a key player driving machine learning innovation