350 Image Analysis jobs in the United Kingdom

6 Month Contract - Hybrid Working - Asap Start - Outside of IR-35

Overview

The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building, and deploying machine learning models that drive innovation in image and video processing.

Responsibilities

• Develop, train, and optimise computer vision models for real world applications.
• Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation.
• Deploy ML models into production, ensuring scalability, efficiency, and reliability.
• Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions.
• Stay up to date with the latest advancements in deep learning, computer vision, and related technologies.

Key Skills & Experience

• Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow).
• Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn).
• Proven track record of building and deploying ML models in production environments.
• Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar).
• Experience working with cloud platforms (AWS, Azure, or GCP).
• Solid understanding of CNNs, object detection, segmentation, and image classification.
• Strong problem-solving skills and ability to work in a hybrid, collaborative environment.

Nice to Have

• Experience with transformer-based vision models (ViT, CLIP, SAM).
• Familiarity with real-time inference and optimisation (ONNX, TensorRT).
• Previous work on video analytics, 3D vision, or multi-modal ML projects.

6 Month Contract - Hybrid Working - Asap Start - Outside of IR-35

Be one of the first applicants, read the complete overview of the role below, then send your application for consideration.

Overview

The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building, and deploying machine learning models that drive innovation in image and video processing.

Responsibilities

• Develop, train, and optimisecomputer vision modelsfor real world applications.
• Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation.
• Deploy ML models into production, ensuring scalability, efficiency, and reliability.
• Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions.
• Stay up to date with the latest advancements in deep learning, computer vision, and related technologies.

Key Skills & Experience

• Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow).
• Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn).
• Proven track record of building and deploying ML models in production environments.
• Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar).
• Experience working with cloud platforms (AWS, Azure, or GCP).
• Solid understanding of CNNs, object detection, segmentation, and image classification.
• Strong problem-solving skills and ability to work in a hybrid, collaborative environment.

Nice to Have

• Experience with transformer-based vision models (ViT, CLIP, SAM).
• Familiarity with real-time inference and optimisation (ONNX, TensorRT).
• Previous work on video analytics, 3D vision, or multi-modal ML projects.

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

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 and Data Engineer

Location: London

Type: Full-time | Permanent | Office based

Salary: up to £100,000 (ML Engineer) and up to £80,000 (Data Engineer)

About Us

We’re an early-stage startup on a mission to. As we scale, we’re looking for a Machine Learning Engineer and Data Engineer who are excited to build real-world products from the ground up, shape the future of our technology, and make a measurable impact.

The Role

You’ll play a key role in designing, building, and deploying ML models that power our core product. This isn’t just about research — it’s about turning ideas into features customers love. You’ll work closely with our founding team, own projects end-to-end, and help set the standard for engineering practices as we grow.

What You’ll Do

• Design, train, and deploy machine learning models to solve real-world problems.
• Collaborate with product and engineering teams to integrate ML into customer-facing features.
• Build scalable data pipelines and infrastructure to support model training and inference.
• Experiment with new algorithms and techniques, bringing the latest research into production.
• Monitor and optimise models for performance, accuracy, and efficiency.
• Contribute to technical decisions that balance immediate needs with long-term scalability.
• Help shape our technical culture, processes, and roadmap as an early team member.

What We’re Looking For

• 2+ years’ experience as a Machine Learning Engineer, Data Scientist, or similar role.
• Strong background in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with building and deploying ML models into production.
• Knowledge of APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure).
• Strong problem-solving skills and ability to work independently in a fast-paced environment.
• Curiosity, openness, and a willingness to experiment and learn.
• Excellent communication skills for explaining complex concepts to technical and non-technical audiences.

Nice to Have

• Experience working in a startup or high-growth tech environment.
• Familiarity with AI-assisted coding tools (e.g. GitHub Copilot, Cursor).

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.