Senior Machine Learning Engineer

Loop Recruitment; Greater London; On-site; Full time

Job description

Senior & Lead Machine Learning Engineers | London | AI Consultancy

Central London (Hybrid - up to 2 days in office)

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