Machine Learning Engineer

gigatonLondonMachine Learning

Apply on company site

Opens the official gigaton careers page

Salary

Not listed

Job type

Full-time

Work mode

Remote

Experience

Mid · 2+ yrs

Posted

11 Sept 2026

Status

Open · checked 7d ago

About this role

Machine Learning Engineer is an open role at Gigaton in London suited for professionals ranging from mid to principal level who want to build autonomous AI control and optimisation systems for heavy industry. The position involves working within research or deployment focused teams to develop models that reduce carbon emissions in manufacturing plants.

Role Overview

Gigaton is hiring a Machine Learning Engineer based in London to build the models that underpin industrial control systems and improve machine learning infrastructure. The position operates within a cohesive unit of scientists, engineers, builders, and operators focused on deploying deep tech solutions in live manufacturing plants.

Key Responsibilities

Build state-of-the art systems combining edge control with active learning algorithms to reduce carbon emissions.

Function as an individual contributor within the machine learning team to build, test, and deploy models, optimisers, and controllers.

Contribute to technical innovation and problem-solving across the machine learning lifecycle.

Collaborate with cross-functional teams on customer projects to plan, design, and deliver work packages.

Establish best practices and tooling to improve internal engineering processes and development speed.

Design and implement robust, maintainable, and scalable machine learning systems.

Requirements

Possess 2 or more years of experience as a machine learning engineer.

Demonstrate familiarity with machine learning techniques, including theoretical knowledge and implementation experience.

Show proficiency in Python along with a good understanding of ML development tools and libraries.

Bring experience in working on end-to-end machine learning deployments.

Have experience working in a scientific environment across disciplines such as physics, chemistry, materials science, or engineering.

Nice to Have

Experience in control systems, time-series modelling, reinforcement learning, system identification, optimisation, or Bayesian statistics.

Background working in a fast-paced startup environment with agile processes.

A degree in machine learning, physics, chemistry, engineering, mathematics, or computer science.

A track record of developing novel machine learning methods in relevant fields.

Understanding of modern cloud compute infrastructure and experience with AWS, GCP, Azure, or other vendors.

Experience designing and building systems end-to-end with software architectural best practices.

Skills and Tools

Python

PyTorch

scikit-learn

AWS

GCP

Azure

Salary and Benefits

Equity in the company through share options

Flexible working arrangements

30 days of holiday plus bank holidays

A generous pension scheme

About the Company

Gigaton builds autonomous AI control and optimisation systems designed to cut carbon emissions from heavy emitting industries like cement, steel, and glass. The team consists of scientists, engineers, builders, and operators who prioritize real-world impact in live plants under genuine constraints.

How to Apply

Applicants should apply directly on the official company careers page.

Skills and tech stack

Python PyTorch scikit-learn AWS GCP Azure Reinforcement Learning Machine Learning

Questions candidates ask

What is the location of the Machine Learning Engineer role?

The position is located in London.

How many years of experience are required for this role?

Candidates must have 2 or more years of experience as a machine learning engineer.

What programming language is required?

Proficiency in Python is required.

What employee benefits are provided?

Benefits include company equity via share options, flexible working, 30 days of holiday plus bank holidays, and a pension scheme.

Who does the Machine Learning Engineer report to?

The role reports to a Machine Learning Team Lead.

Ready to apply?

The application is on the official gigaton careers page.

Apply on company site

Job details

Salary

Not listed

Location

London

Work mode

Remote

Job type

Full-time

Experience

Mid · 2+ yrs

Department

Machine Learning

Posted

11 Sept 2026

Status

Open · checked 7d ago

gigaton notion.site

Gigaton builds autonomous artificial intelligence control and optimisation systems designed to reduce carbon emissions from high-emitting industries such as cement, steel, and glass. The company serves heavy industrial manufacturing plants, operating its products in real time to run plants more efficiently, more stably, and with lower emissions by learning and leveraging the physics of manufacturing. The team consists of scientists, engineers, builders, and operators focused on deep technology that delivers cost and carbon impact in live industrial facilities under real operational constraints. The open roles indicate that Gigaton is building engineering and research teams focused on machine learning and control systems. The available positions span a range of seniorities from mid-level to principal roles. The open position for a Machine Learning Engineer is located in London with remote work options available, and focuses on building models, optimisers, and controllers that combine edge control with active learning algorithms. Teams operate as a cohesive unit across research and deployment functions, sharing a common tech stack, knowledge base, and objectives. The work spans from fundamental machine learning research to commercial-grade software development, establishing machine learning infrastructure, and contributing to the technical innovation and problem-solving required across the machine learning lifecycle.

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