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Machine Learning Engineer Jobs

Engineers who build, train, and deploy machine learning models. A core role in the tech industry, driving innovation and solving complex problems.

Open roles
24
Salary range
£35k – £100k
Hiring companies
9
View 24 live roles → Get an alert

Machine Learning Engineers are at the heart of the tech revolution, combining software engineering with advanced data science to create intelligent systems. They work across a wide range of industries, from tech giants and scaleups to research-heavy startups and the larger consultancies. Their role involves designing, building, and deploying machine learning models that can process and learn from vast amounts of data, enabling applications from natural language processing to computer vision and beyond.

What the role does

Inside the role of a Machine Learning Engineer

A typical week for a Machine Learning Engineer is a mix of coding, model training, and collaboration with cross-functional teams.

  1. 01
    Design and implement machine learning models.
  2. 02
    Optimise algorithms for performance and scalability.
  3. 03
    Collaborate with data scientists and software engineers.
  4. 04
    Conduct experiments and validate results.
  5. 05
    Document and present findings to stakeholders.
  6. 06
    Stay updated with the latest research and tools.
Salary on the board

£35k – £100k

Based on advertised midpoints across the 9 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Mid
35
100
5 jobs
Senior
55
65
1 job
Skills & tools

What hiring managers ask for

% of 14 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

PyTorch
86%
Python
79%
TensorFlow
64%
Machine Learning
57%
AWS
36%
Kubernetes
36%
Azure
29%
GCP
29%
Docker
29%
Scikit-learn
21%
Deep Learning
21%
ONNX
21%
Career ladder

From Junior to Principal

A typical UK progression for machine learning engineers. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Machine Learning Engineer

    0–2 yrs

    Assist in the development and testing of machine learning models, with a focus on learning and gaining hands-on experience.

  2. Level 2

    Machine Learning Engineer

    2–5 yrs

    Own the development and deployment of machine learning models, working closely with data scientists and software engineers.

  3. Level 3

    Senior Machine Learning Engineer

    5–8 yrs

    Lead the design and implementation of complex machine learning systems, guiding junior team members and driving innovation.

  4. Level 4

    Principal Machine Learning Engineer

    8+ yrs

    Strategise and oversee the machine learning initiatives of an organisation, influencing the direction of projects and mentoring the team.

Pathway

How to become a Machine Learning Engineer

There's no single route, but most people follow some version of these steps.

  1. 1

    Learn the Fundamentals

    Gain a strong foundation in programming, mathematics, and statistics. Familiarise yourself with key machine learning concepts and tools.

  2. 2

    Build Projects

    Apply your knowledge by working on real-world projects. This could be through internships, personal projects, or open-source contributions.

  3. 3

    Gain Industry Experience

    Start your career as a Junior Machine Learning Engineer, working on smaller projects and learning from more experienced colleagues.

  4. 4

    Specialise and Advance

    Develop expertise in specific areas of machine learning, such as deep learning or reinforcement learning. Take on more complex projects and leadership roles.

  5. 5

    Lead and Innovate

    As a Senior or Principal Machine Learning Engineer, lead major projects, mentor junior team members, and drive innovation within your organisation.

Live jobs

24 live roles

See all 24 roles →
Faculty AI logo

Machine Learning Engineer

As a Machine Learning Engineer, you will work on delivering bespoke AI solutions for diverse clients, focusing on scalable software architecture and best practices. You will collaborate with cross-functional teams to solve critical challenges, lead technical scoping, and act as a technical advisor, translating complex ML concepts for stakeholders.

Faculty AI London, United Kingdom
Hybrid Permanent Flexible Clearance Required
Faculty AI logo

Machine Learning Engineer

As a Machine Learning Engineer, you will work on delivering bespoke AI solutions for diverse clients, focusing on the defence sector. You will collaborate with cross-functional teams to build and deploy production-grade ML systems, define best practices, and ensure technical feasibility. The role involves both on-site work with clients and remote flexibility.

Faculty AI London, United Kingdom
Remote Permanent Flexible Clearance Required
PhysicsX logo

Machine Learning Engineer

As a Machine Learning Engineer, you will work closely with Data Scientists, Simulation Engineers, and customers to understand and solve complex engineering and physics challenges. You will design, build, and test reliable and scalable ML data pipelines, manipulate 3D point cloud and mesh data, and create reusable libraries and tools. The role involves significant customer interaction and on-site collaboration, requiring strong problem-solving and communication skills.

PhysicsX North Tyneside, NE29 8EP, United Kingdom
On-site Permanent Clearance Required
PhysicsX logo

Machine Learning Engineer

As a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates to customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will mentor team members, drive technical decisions, and travel to customer sites globally to build practical solutions.

PhysicsX United Kingdom
On-site Permanent

Machine Learning Engineer

This role involves designing, building, and deploying scalable machine learning models to drive data-driven decision-making. You will collaborate with data scientists, software engineers, and stakeholders to translate business requirements into production-ready ML solutions, optimize model performance, and maintain data pipelines. The position offers a collaborative and innovative work environment with access to cutting-edge tools and technologies.

Rebel Recruitment Nottingham, Nottinghamshire, United Kingdom £500 – £600 pd
Hybrid Contract Flexible

Machine Learning Engineer

This role involves developing deep-learning pipelines for NMR data, enhancing model usability through efficient software solutions, and collaborating with interdisciplinary teams. The focus is on advancing machine learning and NMR research, with a strong emphasis on innovative approaches to drug discovery and data analysis.

Hyper Recruitment Solutions King's Cross, London, WC1H 8AL, United Kingdom
On-site Permanent

Machine Learning Engineer - Robotics & Perception

As a Machine Learning Engineer - Robotics & Perception, you will design and implement machine learning pipelines for image segmentation, object detection, and 3D scene reconstruction. You will work closely with cross-functional teams to integrate perception modules into broader system architectures, deploying models to embedded and edge computing platforms for real-time performance.

Jonathan Lee Recruitment Chetwynd Aston, Shropshire, United Kingdom £45,000 – £55,000 pa
On-site Permanent

Machine Learning Engineer (Computer Vision)

This role involves building, testing, and improving production-grade deep learning models for computer vision tasks such as classification, detection, segmentation, and tracking. You will work closely with a multidisciplinary team to develop and deploy CV/ML pipelines, manage datasets, and stay current with emerging tools and best practices.

Matchtech Surrey, United Kingdom
Hybrid Permanent
See all 24 roles →
Top hirers

Companies hiring machine learning engineers

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Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

London

Location
10 open

Cambridge

Location
2 open

Nottingham

Location
1 open
FAQs

Common questions

  • Essential skills include programming (Python, R), mathematics (linear algebra, calculus), statistics, and knowledge of machine learning frameworks (TensorFlow, PyTorch).

  • Data Scientists focus on extracting insights from data, while Machine Learning Engineers build and deploy the models that power these insights. The roles often work closely together.

  • Responsibilities include designing and implementing machine learning models, optimising algorithms, collaborating with cross-functional teams, and staying updated with the latest research.

  • Salary ranges can vary widely based on experience, location, and industry. For more detailed information, refer to the salary section on this page.

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