1 to 25 of 3,895 Machine Learning Jobs in the UK excluding London

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

Purpose of position As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream, you’ll work closely with business teams and data scientists to design, maintain, and improve machine learning applications. Your main responsibilities will include managing existing ML workloads … building new batch and on-demand pipelines to support advanced AI/ML models. You’ll also contribute to developing Generative AI solutions and applications for the emerging Agentic Era. You’ll collaborate with a global team to create scalable data architectures optimised for AI/ML, source and prepare ...

problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms … Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas ...

Python, SKLearn, XGBoost, MLFlow, EDA) Familiarity with LLMs (OpenAI, Prompt Engineering, LangChain) Relevant Azure Data & Computation services (ADLS, ADF, Databricks, SQL Databases) Supporting: Azure ML Services React/CSS/JavaScript Azure infrastructure R, Powershell Kubernetes/Docker Tensorflow/Pytorch Principles: Data Modelling Data Science Data Warehouse Theory Data … Architecture Master Data Management Key Words: Azure - AI - Artificial Intelligence - ML - Machine Learning - Consultant - IT Consultancy - SQL - PySpark - Azure AI - AI Search - LLM - OpenAI - Data Science - Databricks - Python - AI Engineer - ML Engineer - AI Consultant - ML Consultant - Data Manipulation - SQL Databases Additional Information At Telefónica Tech, we believe inclusion ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering ...

Description Summary We are seeking a Lead Machine Learning (ML) Engineer with solid experience typically gained over at least 5 years in large multinational manufacturing environments, ideally within the energy, smart infrastructure, or industrial automation sectors. The ideal candidate has a proven track record of independently leading … delivering ML projects in complex, data-intensive ecosystems. In this position, you will be responsible for leading end-to-end ML initiatives, from problem framing and data preparation to model development, optimization, and deployment across edge and cloud platforms. You will independently drive ML project execution, ensuring technical excellence, scalability ...

Senior ML Research Engineer is sought to join an innovative AI research team in Surrey, contributing to the development of advanced AI models and algorithms for speech, audio, and generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning … algorithms, primarily for speech and audio applications. Develop and execute evaluation pipelines to test models on prototype and production systems. Debug and optimise ML workflows and code using Python, PyTorch/TensorFlow, and related tools. Collaborate with software and hardware teams to integrate AI solutions seamlessly into devices. Maintain comprehensive ...