Lead ML Engineer - AI Solutions Architect, Hybrid London
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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
Requirements
- 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
About the company
| 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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
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