Senior Machine Learning Engineer

Loop Recruitment

Greater London, UK

5 days ago

Apply on www.collegerecruiter.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£110,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Python (Programming Language) Machine Learning Tensorflow Pytorch Containerization Scikit Learn Kubernetes Machine Learning Operations Docker

Job description

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

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.