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Machine Learning Engineer Jobs

Engineers who build and deploy machine learning models. A core role in the AI ecosystem, combining software engineering with data science.

Open roles
21
Salary range
£35k – £100k
Hiring companies
12
View 21 live roles → Get an alert

Machine Learning Engineers are at the heart of the AI revolution. They design, build, and deploy machine learning models that power everything from recommendation systems to autonomous vehicles. These roles are found in a wide range of organisations, from tech giants and research-heavy startups to scaleups and the larger consultancies. The work is highly technical, requiring a deep understanding of both software engineering and data science principles.

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 data scientists and other engineers.

  1. 01
    Develop and optimise machine learning models.
  2. 02
    Collaborate with data scientists to refine datasets.
  3. 03
    Integrate models into production systems.
  4. 04
    Monitor and maintain model performance.
  5. 05
    Document and present findings to the team.
  6. 06
    Stay updated with the latest research and tools.
Salary on the board

£35k – £100k

Based on advertised midpoints across the 5 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Mid
35
100
5 jobs
Skills & tools

What hiring managers ask for

% of 7 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
86%
Machine Learning
86%
PyTorch
71%
TensorFlow
57%
AWS
57%
GCP
57%
Kubernetes
57%
Azure
43%
Docker
43%
Data Science
29%
Scikit-learn
29%
Pandas
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 other engineers.

  3. Level 3

    Senior Machine Learning Engineer

    5–8 yrs

    Lead the design and implementation of complex machine learning systems, mentoring junior engineers and driving innovation.

  4. Level 4

    Principal Machine Learning Engineer

    8+ yrs

    Strategise and oversee the AI roadmap, influencing the direction of the organisation's machine learning efforts and leading large teams.

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 building machine learning projects. This could be through personal projects, internships, or university coursework.

  3. 3

    Gain Industry Experience

    Start your career as a Junior Machine Learning Engineer, working on real-world problems and learning from experienced colleagues.

  4. 4

    Specialise and Advance

    Develop expertise in specific areas of machine learning, such as natural language processing or computer vision. Progress to more senior roles.

  5. 5

    Lead and Innovate

    Take on leadership roles, driving the development of cutting-edge AI solutions and mentoring the next generation of machine learning engineers.

  6. 6

    Influence Strategy

    Shape the AI strategy of your organisation, influencing key decisions and leading large-scale machine learning initiatives.

Live jobs

21 live roles

See all 21 roles →
Spotlight
Mind Foundry logo

Machine Learning Engineer (Forward Deployed)

We’re looking for a Machine Learning Engineer (Forward Deployed) to join a supportive, multidisciplinary team delivering real-world AI/ML systems into operational environments. In this role, you’ll lead software deployments, working closely with users and stakeholders to translate their problems into...

Mind Foundry Oxford/ Hybrid, Oxfordshire, United Kingdom
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 ensure the technical feasibility and timely delivery of high-quality ML systems, and act as a technical advisor to clients and partners.

Faculty AI London, United Kingdom
Hybrid 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 drive technical decisions, mentor team members, and travel to customer sites to build solutions on-site, ensuring practical and impactful outcomes.

PhysicsX United Kingdom
Hybrid Permanent

Machine Learning Engineer

This role involves designing, building, and deploying machine learning models for real-world applications, working with large language models, and integrating AI into production environments. You will collaborate with cross-functional teams, conduct research, and implement MLOps best practices to continuously improve AI/ML systems and frameworks.

Qualify Nation Recruitment Woking, United Kingdom £35,000 – £55,000 pa
Hybrid Permanent Clearance Required

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 and software engineers to translate business requirements into ML solutions, optimize model performance, and maintain data pipelines. The position offers a collaborative and innovative environment with access to cutting-edge tools and technologies.

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

Machine Learning - Engineer - London

As a Machine Learning Engineer, you will design and implement innovative machine learning solutions, focusing on training custom models, building robust ML pipelines, and deploying systems at scale. You will work on audio processing tasks, build and maintain training and inference pipelines, and collaborate with product and business teams to translate requirements into practical ML solutions.

Michael Page London, United Kingdom £75,000 – £95,000 pa
On-site Permanent

Machine Learning Software Engineer (Applied AI / Scientific Computing)

This role involves designing, building, and deploying machine learning models into production-grade engineering software systems. You'll work across the full ML lifecycle, from data preparation to model deployment, and collaborate with engineers and domain specialists on complex, real-world problems. The focus is on applied AI, ensuring models are efficient, scalable, and production-ready.

Ion recruitment Guildford, Surrey, United Kingdom £65,000 – £80,000 pa
On-site Permanent
See all 21 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
7 open

Cambridge

Location
3 open

Nottingham

Location
1 open

Oxford

Location
1 open
FAQs

Common questions

  • Essential skills include programming (especially Python), mathematics, statistics, and a deep understanding of machine learning algorithms and frameworks.

  • Gain relevant skills through courses and projects, and consider internships or junior roles to build practical experience.

  • Responsibilities include developing and deploying machine learning models, collaborating with data scientists, and maintaining model performance.

  • Progression typically starts from Junior to Senior, then to Principal, with increasing responsibilities and leadership roles.

  • Salaries vary based on experience and location. For specific salary ranges, please refer to the salary section on this page.

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