51 to 75 of 123 Azure Machine Learning Jobs in England

to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex … Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience More ❯

to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex … Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience More ❯

to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex … Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience More ❯

skilled and experienced Senior MLOps Engineer to join our team. This role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing … platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools … Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries More ❯

skilled and experienced Senior MLOps Engineer to join our team. This role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing … platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools … Understanding of data structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding of machine learning principles, algorithms, and techniques. Experience with popular ML frameworks and libraries More ❯

skilled and experienced Senior MLOps Engineer to join our team. This role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing … platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools … Understanding of data structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding of machine learning principles, algorithms, and techniques. Experience with popular ML frameworks and libraries More ❯

skilled and experienced Senior MLOps Engineer to join our team. This role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing … platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools … Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries More ❯

skilled and experienced Senior MLOps Engineer to join our team. This role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing … platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools … Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries More ❯

law firm. We are seeking a talented AI Data Scientist to join our small development team and build advanced AI solutions within Microsoft Azure for our clients and for our people. Your responsibilities will include, but are not limited, to: AI solution development Design, develop, and deploy … AI capabilities using Microsoft Azure services or M365 applications, including MS AI Foundry, PowerPlatform, and Copilot Studio. Data analytics Analyse unstructured legal textual content, such as knowledge, regulations, and agreements, to extract meaningful insights and drive decision making for our clients and internal users in the firm. … and helping to inform AAD's technology roadmap and strategy. Essential skills and experience About you Technical expertise Deep understanding of AI and machine learning algorithms, proficient in Azure AI Services, together with the ability to create transformation pipelines for unstructured data. Analytical More ❯

Month Contract (Somerset, Hybrid) 📍 Location: Commutable from Bristol (Somerset) - Hybrid ⏳ Contract: 12 Months 💰 Day Rate: Competitive - Inside IR35 🏢 Industry: Government Defence | Data | AI & Machine Learning 🔐 Security Clearance: Active SC clearance preferred but not essential—candidates must be eligible for clearance . The Opportunity Our client, a … and data science strategy. This high-impact role will lead a team of data scientists and work closely with senior stakeholders to operationalise machine learning , enhance automation, and ensure responsible AI governance. This is an exciting opportunity to shape the future of AI and data science … date with industry advancements and emerging AI applications. 🔹 Collaborate with external partners, including other government agencies and industry bodies. 🔹 Provide technical leadership on machine learning deployment, MLOps, and model performance monitoring . Key Requirements ✅ Expertise in Data Science & Machine Learning , including supervised More ❯

seeking a highly skilled AI Engineer to design, develop, and enhance AI-driven document generation systems using large language models (LLMs) and traditional machine learning algorithms . The ideal candidate will have expertise in AI, natural language processing (NLP), and Python programming , with hands-on experience … proficiency in Streamlit , knowledge of Neo4j, RDF, or OWL , and experience working with Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI-powered document generation systems using LLMs and ML models. NLP & Data Processing: Develop NLP-driven … Practices: Work closely with cross-functional teams to integrate AI solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM More ❯

seeking a highly skilled AI Engineer to design, develop, and enhance AI-driven document generation systems using large language models (LLMs) and traditional machine learning algorithms . The ideal candidate will have expertise in AI, natural language processing (NLP), and Python programming , with hands-on experience … proficiency in Streamlit , knowledge of Neo4j, RDF, or OWL , and experience working with Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI-powered document generation systems using LLMs and ML models. NLP & Data Processing: Develop NLP-driven … Practices: Work closely with cross-functional teams to integrate AI solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM More ❯

This is an opportunity for a Data Scientist to play a key role in building Machine Learning and AI Solutions for customers, at the forefront of MS Azure technologies. The successful candidate will have commercial experience leading a team or working independently. Responsibilities … Take a lead role in the design and development of machine learning, statistical algorithms and solutions. Help clients realise the potential of data science, machine learning, and scaled data processing within the Azure ecosystem. Ownership for the delivery of … understand requirements and present solutions to customer sponsors. Required Skills & Experience: Microsoft Azure expertise primarily using Azure Machine Learning. Extensive experience with Databricks, ML Flow, storytelling tools and techniques. Strong commercial experience creating predictive models, statistical analysis, and pricing analysis. Working with More ❯

This is an opportunity for a Data Scientist to play a key role in building Machine Learning and AI Solutions for customers, at the forefront of MS Azure technologies. The successful candidate will have commercial experience leading a team or working independently. Responsibilities … Take a lead role in the design and development of machine learning, statistical algorithms and solutions. Help clients realise the potential of data science, machine learning, and scaled data processing within the Azure ecosystem. Ownership for the delivery of … understand requirements and present solutions to customer sponsors. Required Skills & Experience: Microsoft Azure expertise primarily using Azure Machine Learning. Extensive experience with Databricks, ML Flow, storytelling tools and techniques. Strong commercial experience creating predictive models, statistical analysis, and pricing analysis. Working with More ❯

for our customers, ensuring seamless integration of AI technologies with existing systems. AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform's capabilities, optimize processes, and improve user experiences. Platform Development: Design, develop, and maintain … improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable. What you need to be successful AI and Machine Learning: Experience integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding … platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus. Serverless Architectures: Exposure to serverless architectures, ideally edge compute environments such as Cloudflare Workers. Problem-Solving Skills: A More ❯

for our customers, ensuring seamless integration of AI technologies with existing systems. AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences. Platform Development: Design, develop, and maintain … improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable. What you need to be successful AI and Machine Learning: Experience integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding … platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus. Serverless Architectures: Exposure to serverless architectures, ideally edge compute environments such as Cloudflare Workers. Problem-Solving Skills: A More ❯

Design, develop, and implement AI solutions using Microsoft AI technologies such as Azure OpenAI, LLMs & SLMs, Azure Machine Learning, Cognitive Services, and Azure AI Document Intelligence, with additional experience in Fabric, PowerBI, DataBricks, and LangChain. Work closely … of-concept projects to validate AI use cases before scaling them into enterprise solutions. About the candidate: 5+ years of experience in AI, Machine Learning, GenAI, or Data Science, with expertise in Microsoft AI technologies. Hands-on experience with Azure OpenAI, LLMs, Azure … integration patterns. Strong communication and client-facing skills, with the ability to translate technical concepts into business value. Microsoft AI certifications (such as Azure AI Engineer Associate (AI-102) or Azure Solutions Architect Expert) are a plus. Reply is an Equal Opportunities Employer and More ❯

Design, develop, and implement AI solutions using Microsoft AI technologies such as Azure OpenAI, LLMs & SLMs, Azure Machine Learning, Cognitive Services, and Azure AI Document Intelligence, with additional experience in Fabric, PowerBI, DataBricks, and LangChain. Work closely … of-concept projects to validate AI use cases before scaling them into enterprise solutions. About the candidate: 5+ years of experience in AI, Machine Learning, GenAI, or Data Science, with expertise in Microsoft AI technologies. Hands-on experience with Azure OpenAI, LLMs, Azure … integration patterns. Strong communication and client-facing skills, with the ability to translate technical concepts into business value. Microsoft AI certifications (such as Azure AI Engineer Associate (AI-102) or Azure Solutions Architect Expert) are a plus. Reply is an Equal Opportunities Employer and More ❯

leading a team to deliver Data Science solutions. Promote excellence and innovation in data science methods for measuring health and social care services, learning from best practices nationally and internationally. Assess the effectiveness of various statistical and data science modelling approaches and advise on best tools and methods. … culture of respect, fairness, and diversity. Skills and Experience: Post-graduate qualification or equivalent professional experience. Deep understanding of data science techniques like machine learning and NLP. Experience in delivering complex analytics and data science solutions. Expert knowledge of tools such as Python, R, and SQL. … Experience with cloud platforms (Azure, AWS, GCP). Experience with cloud-based tools like Databricks, Azure Machine Learning, and Azure AI Foundry. Experience deploying data science models at scale and collaborating with architecture/engineering teams. Proven More ❯

stakeholders across different business functions (e.g., operations, finance, product, etc.) to understand key challenges and provide data-driven solutions. Develop, test, and implement machine learning models such as regression, classification, and time series forecasting. Conduct deep analysis on large datasets to uncover trends, patterns, and actionable … Provide mentorship and guidance to junior data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance … for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering, and time series forecasting. Data Pipelines : Experience in building and maintaining efficient data pipelines to support data science initiatives. Data Visualization : Expertise in using visualization tools (e.g., Power BI, Tableau, or More ❯

Solutions is partnering with a leading technology team to build a cutting-edge AI Innovation Team, and we are looking for an exceptional Machine Learning Engineer/MLOps Engineer/AIOps Engineer/AI Data Engineer/Data Scientist/Data Science Engineer/Software Engineer … science, data engineering and software engineering, ensuring AI/ML models are successfully built, deployed and scaled. You will work on real-world machine learning applications, leveraging vast datasets and cutting-edge technology to create real business impact. Key Details: Salary : £80,000 – £85,000 + … support this from the off. Key skills desired/what you will be doing: Develop and deploy AL/ML artificial intelligence/machine learning models for large-scale business applications. Build and maintain high-performance data pipelines, integrating structured and unstructured data sources. Take AI More ❯

Solutions is partnering with a leading technology team to build a cutting-edge AI Innovation Team, and we are looking for an exceptional Machine Learning Engineer/MLOps Engineer/AIOps Engineer/AI Data Engineer/Data Scientist/Data Science Engineer/Software Engineer … science, data engineering and software engineering, ensuring AI/ML models are successfully built, deployed and scaled. You will work on real-world machine learning applications, leveraging vast datasets and cutting-edge technology to create real business impact. Key Details: Salary : £80,000 – £85,000 + … support this from the off. Key skills desired/what you will be doing: Develop and deploy AL/ML artificial intelligence/machine learning models for large-scale business applications. Build and maintain high-performance data pipelines, integrating structured and unstructured data sources. Take AI More ❯

a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with them: Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing … in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible Please note that it is essential that you currently hold high level UK security clearance How we will support you Work-life balance More ❯

challenges! It would be great if you also had experience in some of these, but if not we'll help you with them: Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing … in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you: Work-life balance is important; you'll get 25 days holiday a year and, via our flexible benefits … Career Manager to help you develop your career and guide you on your journey through BAE Don't know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill in a More ❯

challenges! It would be great if you also had experience in some of these, but if not we'll help you with them: Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing … in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you: Work-life balance is important; you'll get 25 days holiday a year and, via our flexible benefits … Career Manager to help you develop your career and guide you on your journey through BAE Don't know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill in a More ❯