Future Tech Jobs Future Tech Jobs

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
31
Salary range
£35k – £150k
Hiring companies
19
View 31 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 – £150k

Based on advertised midpoints across the 21 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Junior
40
70
1 job
Mid
35
100
9 jobs
Senior
40
120
7 jobs
Lead
80
150
2 jobs
Skills & tools

What hiring managers ask for

% of 4 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
100%
PyTorch
75%
Machine Learning
75%
TensorFlow
50%
Kubernetes
50%
AWS
50%
GCP
50%
Pandas
25%
fastAPI
25%
Scipy
25%
Kubeflow
25%
3D Point-Cloud Data
25%
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

31 live roles

See all 31 roles →
Spotlight
Mind Foundry logo

Machine Learning Engineer - National Security (Gloucestershire)

Gloucester, England, United KingdomWe’re looking for aMachine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Machine Learning Engineer, you’ll develop robust, production-ready machine learning solutions, exploring, prototyping, and deploying...

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Permanent 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 scalable software architecture and best practices. You will collaborate with cross-functional teams to ensure technical feasibility and timely delivery of high-quality ML systems, while also acting as a technical advisor to clients and partners.

Faculty AI London, United Kingdom £40,000 – £80,000 pa
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 £40,000 – £80,000 pa
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 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. This role involves significant customer interaction and on-site collaboration, requiring strong problem-solving skills and a focus on practical, impactful solutions.

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 into customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will design and build robust, scalable ML systems, mentor junior team members, and travel to customer sites to collaborate on-site, driving innovation and practical solutions.

PhysicsX United Kingdom £80,000 – £120,000 pa
On-site Permanent

Machine Learning Engineer

As a Machine Learning Engineer, you will design and build intelligent AI agents capable of autonomous task execution using LLMs and advanced reasoning frameworks. You will specialize in RAG pipelines, fine-tune models, and ensure robust ETL/ELT pipelines, all while maintaining ethical AI practices and optimizing for performance in a high-stakes insurance and fintech environment.

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom £450 – £500 pd
Hybrid Contract

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
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
Hybrid Permanent Clearance Required
See all 31 roles →
Top hirers

Companies hiring machine learning engineers

See all companies →
Hiring locations

Where this role is hiring

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

London

Location
16 open

Cambridge

Location
4 open

Nottingham

Location
1 open

Woking

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.

Hiring machine learning engineers?

Post your role in 90 seconds and reach the specialist audience that already reads this page.

Post a job → See pricing

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Machine Learning roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.