851 to 875 of 4,290 Machine Learning Jobs in the UK

lead on building Python-based AI solutions and modern data-driven applications. Key Responsibilities: Design, build, and maintain scalable Python applications. Modernise and enhance legacy systems using AI/ML approaches. Develop APIs and data pipelines for both batch and real-time processing. Build, train, and deploy AI models with a focus on performance, accuracy, and scalability. Engineer AI-powered … in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. … Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in version control, CI/CD pipelines, and test-driven development. More ❯

lead on building Python-based AI solutions and modern data-driven applications. Key Responsibilities: Design, build, and maintain scalable Python applications. Modernise and enhance legacy systems using AI/ML approaches. Develop APIs and data pipelines for both batch and real-time processing. Build, train, and deploy AI models with a focus on performance, accuracy, and scalability. Engineer AI-powered … in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. … Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in version control, CI/CD pipelines, and test-driven development. More ❯

Design, build, and maintain robust data pipelines and cloud-based infrastructure to support large-scale data processing and analytics workloads. Collaborate with data scientists and AI engineers to productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best … moving or regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in SQL and More ❯

Design, build, and maintain robust data pipelines and cloud-based infrastructure to support large-scale data processing and analytics workloads. Collaborate with data scientists and AI engineers to productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best … moving or regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in SQL and More ❯

Design, build, and maintain robust data pipelines and cloud-based infrastructure to support large-scale data processing and analytics workloads. Collaborate with data scientists and AI engineers to productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best … moving or regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in SQL and More ❯

methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine learning services that are accessible via APIs for use … in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the More ❯

methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine learning services that are accessible via APIs for use … in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the More ❯

AI Engineer, Machine Learning Engineer, or a similar role. · Strong understanding of fundamental AI and machine learning concepts. · Hands-on experience with various AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face). · A demonstrable passion for and understanding of the latest advancements in generative AI for media, including models related to: o Video More ❯

AI Engineer, Machine Learning Engineer, or a similar role. · Strong understanding of fundamental AI and machine learning concepts. · Hands-on experience with various AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face). · A demonstrable passion for and understanding of the latest advancements in generative AI for media, including models related to: o Video More ❯

algorithms, and find new ways of optimizing risk, profitability, and customer experience. Emirati national is required. Key job responsibilities As a Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help … models for business applications. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, and/or machine learning. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. PREFERRED QUALIFICATIONS … computer science, engineering, mathematics, operations research, or in a highly quantitative field. Practical experience in solving complex problems in an applied environment. Hands-on experience building models with deep learning frameworks like PyTorch, TensorFlow, or JAX. Prior experience in training and fine-tuning of Large Language Models (LLMs). Knowledge of AWS platform and tools. Amazon is committed to More ❯

This role requires both strategic thinking and hands-on leadership. You will be accountable for engineering execution, people development, architectural decisions, and the integration of cutting-edge AI/ML technologies. You'll collaborate with product, design, and go-to-market teams to ensure alignment, delivery, and scalability. Why Join Us? You'll be part of a team building a … performance, and scalability. Train and coach developers in new tools, frameworks, and engineering best practices. Drive engineering excellence across testing, documentation, code reviews, and Agile/Scrum adherence. AI & ML Strategy Lead the implementation of AI/ML solutions and workflows across the product delivery team. Drive adoption of AI capabilities into core product features and go-to-market use … cases. Partner with product leaders to prioritize and implement machine learning models. Ensure AI/ML systems are robust, explainable, and ethical. Who Are You? You are proficient in: Leading diverse, distributed engineering teams. Mentoring developers at all stages of their careers. Communicating technical information clearly to non-technical stakeholders. Aligning engineering practices with Agile/Scrum methodologies. More ❯

Analytics Data Engineering (DE) team and work on solving problems! We are a team of DEs who support Applied Scientists, Data Scientists, and Economists in experimenting, researching, and transforming machine learning, deep learning, and AI research into innovative products … for our customers. ISS is seeking a smart, highly motivated, and experienced Data Engineer to join our team. In this role, you'll help create the right Data and ML infrastructure. As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost More ❯

flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete … automation and are using latest technology like LLM to solve business problems. We believe in "Work Hard. Have Fun. Make History" value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we … general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for an experienced Software developer with a diverse skillset and background. As a SDE-2, your work is consistently of high quality. You More ❯

the company’s data strategy and develop AI-driven features that elevate their platform. The Role You’ll lead on the full data lifecycle - from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation … through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You More ❯

the company’s data strategy and develop AI-driven features that elevate their platform. The Role You’ll lead on the full data lifecycle - from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation … through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You More ❯

the company’s data strategy and develop AI-driven features that elevate their platform. The Role You’ll lead on the full data lifecycle - from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation … through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You More ❯

for a brilliant senior developer who wants an exciting and challenging role with Kortical, that is on a mission to help every company become an AI company via our ML SaaS platform. Primary skills we consider: Python Secondary skills we consider: Kubernetes, Microservices, Docker, GCP, Maths, Machine Learning Employment type: Permanent Remote working: Flexible remote (up to … for a brilliant senior developer who wants an exciting and challenging role with Kortical, that is on a mission to help every company become an AI company via our ML SaaS platform. We are a python shop so proficiency is ideal but languages are easy to learn if you know how to code, so don't worry if you're … our ways of working. About Kortical Just as every company is now a tech company, they will also have to be an AI company to survive. Currently 85% of ML projects fail and we are on a mission to turn that statistic upside down! Google, AWS, Azure are all essentially a box of tools, and you need a strong multi More ❯

Job ID: Amazon Development Center (Tel Aviv) Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of … will be a great fit for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning solutions … explanation. As a Senior Applied Scientist in our team, you will lead the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will More ❯

week in office Location: London About our Engineering Team As a business which has AI at its core, we need to have a reliable, scalable and secure real-time ML platform to deliver our product to customers. The Engineering team makes this happen. The team is UK-based, with a significant contingent in London, and is made up of pragmatic … to work across our entire stack building features which deliver AI capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like Python, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres and Flink on AWS. We are very big fans of Infrastructure-as-Code and enjoy Agile practices. … Our team is tackling several big challenges, including: Building a real-time config driven user interface toolbox that seamlessly adapts to diverse customer needs Deploying all changes, including complex machine learning models, reliably to customers within 15 minutes with fully automated tests Build out new exciting product features that broaden our product scope to newer challenges Centralised reporting More ❯

Senior Software Engineer Magnify brings the power of the latest AI, ML, and large-scale data architectures to transform the customer experience in software. Software Engineers at Magnify will develop microservices, machine learning services, data handling, communication and integration components that enable Magnify’s post-sales orchestration platform. This is a remarkable opportunity for someone with back-end More ❯

and helping them achieve successful outcomes You love working with people who have a high bar for quality of code and quality of user experience You are passionate about learning and development You thrive in an environment that emphasizes constant learning, challenging assumptions, and providing high customer value You are energized by being a part of a small … you to apply. Technologies we use Languages: TypeScript, JavaScript, Java, Python, Node.js Front end: React, React Router, Redux Cloud Platform: Google, AWS AI/Machine Learning: Gemini, ML Engine Mobile platforms: Xcode, Android Studio, Appium Data Analysis: BigQuery, DataFlow, Spanner Compute: Container Engine, Cloud Functions, App Engine, Cloud Run Source Control : GitHub Continuous Integration: GitHub Actions Working at More ❯

Quantitative Researcher - Machine Learning A fully automated algorithmic trading company in London have ambitious plans to grow their machine learning research team. All their researchers have an impressive academic background in mathematics, statistics … and physics and have published numerous academic articles in their respective fields. They enjoy a healthy work-life balance while tackling hard problems in quantitative finance using AI and ML techniques. As a Quantitative Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative … finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics More ❯

Quantitative Researcher - Machine Learning A fully automated algorithmic trading company in London have ambitious plans to grow their machine learning research team. All their researchers have an impressive academic background in mathematics, statistics … and physics and have published numerous academic articles in their respective fields. They enjoy a healthy work-life balance while tackling hard problems in quantitative finance using AI and ML techniques. As a Quantitative Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative … finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics More ❯

with CI/CD pipelines. Automation & Scripting: Experience writing scripts in languages such as Bash, Python to automate tasks and streamline operations. Nice to have: Familiarity with AI/ML-driven build automation tools that leverage machine learning algorithms to optimize and predict release pipeline cycles, enhancing efficiency and accuracy across the CI/CD process. Experience with More ❯

Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications More ❯