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Machine Learning Engineer

facultyLondonPublic Services
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

London, UK is the location for the Machine Learning Engineer position at Faculty, offering a chance for professionals skilled in production-grade machine learning to build impactful AI systems for public services and global clients. This role suits individuals experienced in software engineering and cloud infrastructure who want to transition machine learning models from development into scalable real-world applications.

Role Overview

Faculty seeks a Machine Learning Engineer to design and deliver customized artificial intelligence solutions within the Public Services Business Unit. The professional in this position will bridge the gap between experimental development and production deployment, creating scalable software infrastructure and advising clients across sectors such as government, finance, and defence. Candidates may require UK Security Clearance and periodic on-site client collaboration.

Key Responsibilities

Construct and launch production-level machine learning software, tools, and supporting infrastructure.
Develop modular and scalable solutions to speed up the deployment of machine learning systems.
Partner with data scientists, engineers, and commercial teams to address critical client issues.
Direct technical scoping and architectural choices to guarantee project feasibility.
Establish and apply company standards for scaling machine learning applications.
Function as a technical consultant to customers, explaining complex machine learning topics to varied audiences.

Requirements

Comprehension of the complete machine learning lifecycle with operational experience using frameworks like PyTorch, TensorFlow, or Scikit-learn.
Proficiency in Python alongside solid grounding in software engineering standards.
Practical background in cloud platforms and infrastructure including security and architecture.
Utilization of containerization and orchestration technologies like Kubernetes and Docker for managing scaled applications.
Familiarity with foundational machine learning principles such as statistics, probability, and standard learning methods.
Strong communication abilities to direct technical teams and counsel non-technical participants.

Skills and Tools

Python
PyTorch
TensorFlow
Scikit-learn
Docker
Kubernetes
AWS
Azure
GCP

About the Company

Established in 2014, Faculty builds and deploys responsible artificial intelligence for over 350 global customers across government, finance, retail, energy, life sciences, and defence. The organization focuses on human-centric AI to drive performance improvements and supports diverse teams driven by intellectual curiosity.

How to Apply

Candidates should apply directly on the official Faculty careers page.

Skills and tech stack

PythonPyTorchTensorFlowScikit-learnDockerKubernetesAWSAzureGCPMachine Learning

Questions candidates ask

Where is this job located?

The role is based in London, UK, though some work may occasionally take place on-site with clients.

What qualifications or clearances are needed for this role?

Due to the nature of work with government clients, candidates may need eligibility for UK Security Clearance (SC).

What programming languages and frameworks are required?

The position requires strong Python skills and experience operationalising models using frameworks such as PyTorch, TensorFlow, or Scikit-learn.

What does the interview process involve?

The interview process includes a 30-minute talent team screen, a 90-minute pair programming interview, a 90-minute system design interview, and a 60-minute commercial interview.

Is part-time work an option?

Yes, Faculty is open to conversations about part-time hours for this role.

Ready to apply?

The application is on the official faculty careers page.

Apply on company site