Explore exciting opportunities in the field of machine learning engineering. This role involves developing and implementing 1,634 Machine Learning Engineer jobs in the United Kingdom
Machine Learning Engineer
Posted 4 days ago
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Job Description
Job title: Machine Learning Engineer
Locations: Manchester or Haywards Heath (hybrid working)
Role overview
Markerstudy Group have an exciting opportunity for a machine learning engineer to fill out the automation, pipelining, DevOps, and modelling aspects of Markerstudy’s market-leading technical modelling and pricing team. You will productionise novel insurance modelling processes as an automated machine learning pipeline within a cloud-based environment.
Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy’s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few.
As a Machine Learning Engineer, you will help build and maintain the pricing team’s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function.
Key Responsibilities:
- Build an MLOps / DevOps environment to support machine learning automation li>Build the pipelines that automate the regular model update and monitoring processes
- Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes.
- Work closely with the data science team to integrate modelling approaches and techniques
Key Skills and Experience:
- Previous experience as a DevOps / MLOps engineer
- Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud)
- Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages and libraries < i>Proficient at communicating results in a concise manner both verbally and written
- Previous industry experience in a STEM role or educated to the Master’s level in a STEM or DS / ML / AI or maths-based discipline.
Behaviours:
- < i>Collaborative and team player
- Logical thinker with a professional and positive attitude
- Passion to innovate and improve processes
- Strong grasp of industry standards, and proficient in either Python, R, or both
Machine Learning Engineer
Posted 4 days ago
Job Viewed
Job Description
Job title: Machine Learning Engineer
Locations: Manchester or Haywards Heath (hybrid working)
Role overview
Markerstudy Group have an exciting opportunity for a machine learning engineer to fill out the automation, pipelining, DevOps, and modelling aspects of Markerstudy’s market-leading technical modelling and pricing team. You will productionise novel insurance modelling processes as an automated machine learning pipeline within a cloud-based environment.
Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy’s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few.
As a Machine Learning Engineer, you will help build and maintain the pricing team’s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function.
Key Responsibilities:
- Build an MLOps / DevOps environment to support machine learning automation li>Build the pipelines that automate the regular model update and monitoring processes
- Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes.
- Work closely with the data science team to integrate modelling approaches and techniques
Key Skills and Experience:
- Previous experience as a DevOps / MLOps engineer
- Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud)
- Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages and libraries < i>Proficient at communicating results in a concise manner both verbally and written
- Previous industry experience in a STEM role or educated to the Master’s level in a STEM or DS / ML / AI or maths-based discipline.
Behaviours:
- < i>Collaborative and team player
- Logical thinker with a professional and positive attitude
- Passion to innovate and improve processes
- Strong grasp of industry standards, and proficient in either Python, R, or both
Machine Learning Engineer
Posted 5 days ago
Job Viewed
Job Description
We're looking for Machine Learning Engineers to join the Generative ML Platform team at Snap Inc!
What you'll do:
+ Develop ML-tools and ML-products that serve millions of Snapchatters on a daily basis
+ Build cutting-edge augmented reality experiences with diffusion/flow matching models and GANs
+ Deliver GenAI experiences for the edge devices
+ Work on state of the art GenAI pipelines for image and video generation
+ Work closely with other Snap teams to introduce, prototype and launch new products
Knowledge, Skills & Abilities:
+ A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
+ Knowledge of mathematics and deep learning foundations
+ Ability to effectively collaborate with internal teams and external partners
+ Ability to work independently
Minimum Qualifications:
+ Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
+ Engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning
+ Experience with the major deep learning frameworks: PyTorch or TensorFlow
+ Strong programming skills in Python or C+Preferred Qualifications:
+ Experience developing real-time software for mobile applications
+ Knowledge of computer graphics foundations
+ Track record of successful projects in GenAI field
+ Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
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At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
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Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Who We Are
At Ultralytics , we relentlessly drive innovation in AI, building the world's leading open-source models . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI .
Location and Legalities
This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence?
We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds.
You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production.
In this role, you’ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients.
What’s in it for you?
AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights.
Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production.
Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical and career development.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence?
We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds.
You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production.
In this role, you’ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients.
What’s in it for you?
AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights.
Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production.
Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical and career development.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Who We Are
At Ultralytics , we relentlessly drive innovation in AI, building the world's leading open-source models . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI .
Location and Legalities
This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.
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Machine Learning Engineer
Posted 1 day ago
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Job Description
We’re Hiring: Data Scientist / Machine Learning Engineer
Location: Sheffield/London (hybrid)
Employment Type: Contract
We are seeking a highly skilled Data Scientist / Machine Learning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights.
Responsibilities:
- Preprocess structured and unstructured data for analysis
- Enhance data collection procedures to include all relevant information for analytic systems
- Process, cleanse, and validate the integrity of data
- Analyze large volumes of data to identify patterns and solutions
- Develop predictive systems and machine learning algorithms
- Present analytical results clearly to stakeholders
- Propose solutions and strategies for business challenges
- Perform data mining and extract usable insights from multiple data sources
- Use machine learning tools to select features, create, and optimize classifiers
Qualifications:
- Programming Skills: Expertise in Python; Scala/Java knowledge is an advantage
- OpenTelemetry Expertise: Strong understanding of OpenTelemetry stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring
- Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models
- Strong analytical and problem-solving skills
- Experience with feature selection, classifier creation, and optimization
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
We’re Hiring: Data Scientist / Machine Learning Engineer
Location: Sheffield/London (hybrid)
Employment Type: Contract
We are seeking a highly skilled Data Scientist / Machine Learning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights.
Responsibilities:
- Preprocess structured and unstructured data for analysis
- Enhance data collection procedures to include all relevant information for analytic systems
- Process, cleanse, and validate the integrity of data
- Analyze large volumes of data to identify patterns and solutions
- Develop predictive systems and machine learning algorithms
- Present analytical results clearly to stakeholders
- Propose solutions and strategies for business challenges
- Perform data mining and extract usable insights from multiple data sources
- Use machine learning tools to select features, create, and optimize classifiers
Qualifications:
- Programming Skills: Expertise in Python; Scala/Java knowledge is an advantage
- OpenTelemetry Expertise: Strong understanding of OpenTelemetry stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring
- Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models
- Strong analytical and problem-solving skills
- Experience with feature selection, classifier creation, and optimization
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Design, build, train, and deploy machine learning models for various applications.
- Develop and maintain robust ML pipelines for data preprocessing, feature engineering, and model evaluation.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Conduct exploratory data analysis and identify patterns and insights from complex datasets.
- Optimize ML models for performance, scalability, and efficiency.
- Stay up-to-date with the latest research and advancements in machine learning and AI.
- Write clean, well-documented, and maintainable code.
- Contribute to the development of AI strategy and roadmaps.
- Ensure the ethical and responsible development and deployment of AI systems.
- Participate in code reviews and knowledge sharing sessions.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related quantitative field, or equivalent practical experience.
- Proven experience in developing and deploying machine learning models in production environments.
- Strong proficiency in programming languages such as Python, and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Solid understanding of ML algorithms, statistical modeling, and data mining techniques.
- Experience with MLOps principles and tools for model deployment and monitoring.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts.
- Ability to work independently and manage projects effectively in a remote setting.
- Experience with deep learning and neural networks is a plus.
This exciting role is based in Bristol, South West England, UK , but is a fully remote position. Our client is dedicated to fostering a high-performing remote culture.