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# Lead ML Engineer - AI Solutions Architect, Hybrid London

- **Company:** Loop Recruitment
- **Location:** Greater London, UK
- **Experience:** Expert
- **Salary:** £110,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Tensorflow, Software Construction, Google Cloud, Pytorch, Deep Learning, Containerization, Scikit Learn, Kubernetes, Machine Learning Operations, Docker
- **Published:** August 26, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815152923-lead-ml-engineer-ai-solutions-architect-hybrid-london

## About the Role

* 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

## 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


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