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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
49
Salary range
£35k – £160k
Hiring companies
17
View 49 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 – £160k

Based on advertised midpoints across the 27 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
39
40
1 job
Junior
69
83
1 job
Mid
35
160
13 jobs
Senior
50
110
4 jobs
Lead
90
120
2 jobs
Skills & tools

What hiring managers ask for

% of 50 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
82%
Machine Learning
70%
PyTorch
60%
TensorFlow
52%
AWS
36%
MLOps
32%
Azure
26%
GCP
26%
Kubernetes
26%
Docker
24%
Data Pipelines
14%
Scikit-learn
14%
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

49 live roles

See all 49 roles →
PhysicsX logo

Machine Learning Engineer

As a Machine Learning Engineer, you will collaborate with data scientists, simulation engineers, and customers to solve complex engineering and physics challenges. You will design, build, and test scalable ML data pipelines, manipulate 3D point cloud and mesh data, and deploy AI models in real-world industrial settings. This role involves significant customer interaction and travel to customer sites globally.

PhysicsX United Kingdom
Remote Permanent

Machine Learning Engineer (Computer Vision)

This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance on a variety of projects.

Platform Recruitment London, United Kingdom £80,000 – £160,000 pa
On-site Permanent

Machine Learning Engineer (Computer Vision)

This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance.

Platform Recruitment Oxford, Oxfordshire, United Kingdom £85,000 – £160,000 pa

Machine Learning Engineer Recommendation

Design and deploy machine learning models for user personalisation, including recommendation engines and ranking algorithms, within a large-scale streaming environment. Build and maintain data pipelines for feature engineering and model training, and lead A/B testing to evaluate model performance. Collaborate with cross-functional teams to align ML initiatives with business goals and explore emerging research in deep learning and Generative AI for production integration.

Appcastenterprise London, United Kingdom
Hybrid Permanent Clearance Required

Machine Learning Engineer - Defence

This role involves designing and developing machine learning and large language model (LLM) systems for high-impact, secure, and mission-critical environments. You will work on advanced AI solutions, focusing on performance, reliability, and security, while collaborating with engineering teams and clients to solve complex challenges.

eFinancialCareers London, United Kingdom £60,000 – £90,000 pa
Hybrid Permanent Clearance Required

Machine Learning Engineer- World-Leading Prop Trading Fund

This role involves working on the ML platform of a leading prop trading fund, focusing on enhancing research workflows, building and maintaining training and inference infrastructure, and applying various ML techniques to aid decision-making. The team values a strong mathematical foundation and a passion for the latest advancements in ML.

eFinancialCareers London, United Kingdom
On-site Permanent
Faculty AI logo

Lead Machine Learning Engineer

As a Lead Machine Learning Engineer, you will set the technical direction for complex AI projects, design and implement scalable ML systems, and guide architectural decisions. You will lead a team of engineers, mentor junior members, and drive innovation by developing shared resources and libraries. This role involves working on high-impact projects across various industries, ensuring technical excellence and safe deployment.

Faculty AI London, United Kingdom
Hybrid Permanent
Faculty AI logo

Principal Machine Learning Engineer

As a Principal Machine Learning Engineer, you will lead the design and implementation of sophisticated AI systems for financial institutions, ensuring they are scalable, robust, and aligned with industry standards. You will also guide the technical direction of the company’s flagship projects and provide expert advice across business units.

Faculty AI London, United Kingdom
Hybrid Permanent
See all 49 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
22 open

Cambridge

Location
4 open

Oxford

Location
2 open

Birmingham

Location
1 open

Portsmouth

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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