Lead ML Engineer - AI Solutions Architect, Hybrid London

Loop Recruitment
Greater London, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£110,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Python (Programming Language) Machine Learning Tensorflow Software Construction Google Cloud Pytorch Deep Learning Containerization
+4 more
Scikit Learn Kubernetes Machine Learning Operations Docker

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

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Apply on www.collegerecruiter.com
Prepare application

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