1 to 25 of 83 Azure Machine Learning Jobs

enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV … the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical … problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and more »

I am currently on the lookout for a Security Cleared Machine Learning Engineer who has extensive experience working in the Azure Cloud Platform. I am currently looking to suppot a Public Sector consultacy who are actively supplying into a Government department. Responsibilities: Develop … and deploy machine learning models on the Azure cloud platform. Collaborate with data scientists and engineers to design and implement scalable solutions. Optimize and fine-tune machine learning models for performance and efficiency. Ensure compliance with security standards and … best practices. Troubleshoot and debug issues as they arise. Document code, processes, and procedures. Requirements: Extensive experience working as a Machine Learning Engineer. Strong proficiency in Python programming language. Hands-on experience with Azure cloud services, including Azure Machine more »

dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles. FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working … analytics. This role offers the unique opportunity to develop AI/ML-based applications that have a meaningful impact on our customers. Our machine learning platform helps manage the various components of the ML application development life cycle, starting from data ingestion, and experimentation, to model … All of these components are interdisciplinary, so you will be working closely with cross-functional teams across the organization. Role Overview As a Machine Learning Operations Data Engineer II you will develop platform tooling, deploy data science models to production and monitor production performance. You will more »

MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an outside IR35 contract basis. We are looking for out and out MLE's with strong commercial Machine Learning experience using the Azure/Microsoft ML suite. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing systems to enable more scalable, reliable, and maintainable … practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed more »

MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an outside IR35 contract basis. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating … practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed … ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required Experience deploying Generative AI applications is desirable (e.g. RAG systems more »

talent and technologies to stay at the forefront to be the best. As a Data Engineer, you will help build end-to-end machine learning solutions deployed for use by stakeholders throughout the business that will be essential to the business' ability to serve our millions … data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake, Azure Machine Learning, Data Factory. Azure is preferable, but AWS and GCP experience is welcome Familiar with all parts of the … Machine Learning lifecycle, from initial scoping and development to deployment and model maintenance. Agile Ways of Working We'd love to see a passion for: GDPR-compliance and data governance in context of machine learning Infrastructure management including monitoring, backup, and disaster more »

talent and technologies to stay at the forefront to be the best. As a Data Engineer, you will help build end-to-end machine learning solutions deployed for use by stakeholders throughout the business that will be essential to the business' ability to serve our millions … data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake, Azure Machine Learning, Data Factory. Azure is preferable, but AWS and GCP experience is welcome Familiar with all parts of the … Machine Learning lifecycle, from initial scoping and development to deployment and model maintenance. Agile Ways of Working We'd love to see a passion for: GDPR-compliance and data governance in context of machine learning Infrastructure management including monitoring, backup, and disaster more »

pushing the boundaries of what's possible with analytics and AI, and we are seeking a talented Solutions Architect with expertise in Microsoft Azure and Natural Language Processing (NLP) models to join our dynamic team. As a Solutions Architect specializing in Microsoft Azure, you … processing and extracting insights from unstructured text data. Key Responsibilities: Lead the design and architecture of analytics and AI solutions on the Microsoft Azure platform, ensuring alignment with business objectives, scalability, and reliability. Work closely with data scientists and AI engineers to integrate NLP models into our … solution offerings. Conduct performance optimisation, scalability assessments, and security reviews for existing and proposed architectures. Serve as a subject matter expert on Microsoft Azure services, providing mentorship and training to team members as needed. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a more »

closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Key responsibilities: Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing … and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay … current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Skills & Experience Proven experience in Data Science and Machine Learning, combining excellent academic research with significant commercial impact. Demonstrated ability to deliver more »

founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsMax™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable customers to efficiently manage data, leverage data science to … and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines … for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with more »

concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »

concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »

concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »

concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »

concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »

concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »

concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »

concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable more »

Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in … Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting more »

concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in more »

concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership … deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or … Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in more »

advanced cloud analytics alongside the necessary analytics governance. The Role: Skills Required: SQL/Python/R, Power BI, Azure Machine Learning, Azure DevOps, Cloud technology is utilized and integrated, with a focus on Azure and Databricks. … throughout project management and delivery phases, continually refining solutions to increase business impact. • Showcase hands-on expertise in various data science methodologies, encompassing machine learning, operational research, artificial intelligence, and programming. • Excel in advanced programming, particularly in statistical languages Python & R • Design user interfaces to streamline more »

Leading Applied AI Company 🪖 Cutting edge DefenceTech 🔥 Working with the latest tech in AI and ML ⚙️Preferred Tech: Python; Azure; Machine Learning. 📍 The Company I'm working with an exciting startup who are revolutionising the way that Artificial Intelligence, Machine Learning … you come in! 💼 The Role We are looking for a Python Developer, proficient with Azure and ideally with exposure to Machine Learning to join this exciting and rapidly growing tech-focused team. You would be working with bleeding edge tech and contributing to more »

Contract - Outside IR35 - Remote mainly (occasional site visit) - Architect - Azure, Machine Learning, IoT I am hiring for a business that are creating some incredible products and services, supporting the environment and sustainability. There is an opportunity to join a flagship project to deliver … application to their wider customer base. The application sits on Azure with AKS Clusters and is an IoT app, containing machine learning technology to deliver data driven results to the customer. The Architect is coming in to assess the scalability, performance, security and … in an assessing where they are, supporting in building the roadmap as the product and customer base scales. You'll need experience in Azure platforms and AKS, extensively and will have worked on the architecture of AI or ML products and ideally IoT devices too. This role more »

products, preferably in the Insurance sector. As a Lead Data Scientist, you will lead advanced analytics and ML projects, leveraging the power of Azure tools and services, mentor junior team members, and drive innovation through cutting-edge data solutions. Required skills & Experience: Bachelor or Master's degree … Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow … Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead more »