1 to 25 of 84 Permanent Azure Machine Learning Jobs

the foundational technologies that underpin our products and services. This role demands a good understanding of a specific tech stack, including Databricks, Snowflake, Azure, as well as ML/AI frameworks, Python, and C#. You will collaborate with cross-functional teams to ensure our cloud and AI … our various core engineering capabilities.Duties and responsibilitiesSupport and guide stakeholders and product teams with design and development of solutions leveraging Databricks, Snowflake and Azure for cloud computing services.Be at the forefront of introducing AI/ML technology and frameworks into our core technology capabilities.Develop and maintain high … core technologies for superior performance and user experience.Ensure system designs adhere to best practices, supporting the strategic direction of the company and leveraging Azure cloud services effectively.Troubleshoot and resolve complex issues related to the specific tech stack, providing expertise in Databricks, Snowflake, Azure, ML more »

Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also … model deployment and MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years … than just writing code) An ability to write production quality Python code. Strong SQL Skills Experienced creating data pipelines in a cloud (preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML more »

Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also … to help with ML model deployment and MLOps.ResponsibilitiesDesign and implement Data Pipelines for both structured and unstructured data.Support and improve ML infrastructure – particularly Azure ML.Data Engineering: Guarantee data access, Data quality, ETL, Data pipelines Platform administration: Help set up accesses, infrastructure, create new storage, enforce best practicesProduction … decisions, rather than just writing code)An ability to write production quality Python code.Strong SQL SkillsExperienced creating data pipelines in a cloud (preferably Azure) environmentTDD & CI/CD experienceContainerisation experience (Docker, Kubernetes, etc.)Good understanding of software best practises MongoDB (or NoSQL) experienceTerraform experiencePrevious experience in managing more »

the day-to-day tasks? Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring … and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on … AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing 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 »

about it, they're the leader in legal representation comparison and have rather interesting, unique data to work with. They are using modern Azure tools and have some very exciting initiatives! They are looking for an a mid -weight Data Engineer to join a well established team. … Proficient knowledge of SQL and CosmosDB (or similar) databases. Expertise in designing, constructing, administering, and maintaining data warehouses and data lakes. Familiarity with Azure Cloud Services. Sound understanding of T-SQL programming. Exposure to Azure Data Lake technologies, including ADF, HDFS, and Synapse. Solid … Catalog, and Master Data Management. (You will be skilled up in this sought after area) Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written 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 »

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 »

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 »

this data availableforother stakeholders acrossthe business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk/insurance/FX Rates/Commodity 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 »

the ability to explain complex ideas. Prior experience developing and executing test plans, analyzing results, and communicating conclusions and recommendations. Experience testing and learning in a fast-paced environment. Prior experience analyzing, researching, and prototyping new hardware or software solutions. Understanding of research best practices and risk management … AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML … and APIs Proficiency in using and configuring Linux systems A demonstrated proficiency in containerization technologies such as docker Additional coursework or certifications in machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques Innovative prompt design skills possessing the ability to more »

the ability to explain complex ideas. Prior experience developing and executing test plans, analyzing results, and communicating conclusions and recommendations. Experience testing and learning in a fast-paced environment. Prior experience analyzing, researching, and prototyping new hardware or software solutions. Understanding of research best practices and risk management … AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML … and APIs Proficiency in using and configuring Linux systems A demonstrated proficiency in containerization technologies such as docker Additional coursework or certifications in machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques Innovative prompt design skills possessing the ability to more »

the ability to explain complex ideas. Prior experience developing and executing test plans, analyzing results, and communicating conclusions and recommendations. Experience testing and learning in a fast-paced environment. Prior experience analyzing, researching, and prototyping new hardware or software solutions. Understanding of research best practices and risk management … AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML … and APIs Proficiency in using and configuring Linux systems A demonstrated proficiency in containerization technologies such as docker Additional coursework or certifications in machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques Innovative prompt design skills possessing the ability to more »

the ability to explain complex ideas. Prior experience developing and executing test plans, analyzing results, and communicating conclusions and recommendations. Experience testing and learning in a fast-paced environment. Prior experience analyzing, researching, and prototyping new hardware or software solutions. Understanding of research best practices and risk management … AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML … and APIs Proficiency in using and configuring Linux systems A demonstrated proficiency in containerization technologies such as docker Additional coursework or certifications in machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques Innovative prompt design skills possessing the ability to more »

the ability to explain complex ideas. Prior experience developing and executing test plans, analyzing results, and communicating conclusions and recommendations. Experience testing and learning in a fast-paced environment. Prior experience analyzing, researching, and prototyping new hardware or software solutions. Understanding of research best practices and risk management … AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML … and APIs Proficiency in using and configuring Linux systems A demonstrated proficiency in containerization technologies such as docker Additional coursework or certifications in machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques Innovative prompt design skills possessing the ability to more »

the ability to explain complex ideas. Prior experience developing and executing test plans, analyzing results, and communicating conclusions and recommendations. Experience testing and learning in a fast-paced environment. Prior experience analyzing, researching, and prototyping new hardware or software solutions. Understanding of research best practices and risk management … AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML … and APIs Proficiency in using and configuring Linux systems A demonstrated proficiency in containerization technologies such as docker Additional coursework or certifications in machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques Innovative prompt design skills possessing the ability to more »

the ability to explain complex ideas. Prior experience developing and executing test plans, analyzing results, and communicating conclusions and recommendations. Experience testing and learning in a fast-paced environment. Prior experience analyzing, researching, and prototyping new hardware or software solutions. Understanding of research best practices and risk management … AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML … and APIs Proficiency in using and configuring Linux systems A demonstrated proficiency in containerization technologies such as docker Additional coursework or certifications in machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques Innovative prompt design skills possessing the ability to more »

the ability to explain complex ideas. Prior experience developing and executing test plans, analyzing results, and communicating conclusions and recommendations. Experience testing and learning in a fast-paced environment. Prior experience analyzing, researching, and prototyping new hardware or software solutions. Understanding of research best practices and risk management … AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML … and APIs Proficiency in using and configuring Linux systems A demonstrated proficiency in containerization technologies such as docker Additional coursework or certifications in machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques Innovative prompt design skills possessing the ability to more »

the ability to explain complex ideas. Prior experience developing and executing test plans, analyzing results, and communicating conclusions and recommendations. Experience testing and learning in a fast-paced environment. Prior experience analyzing, researching, and prototyping new hardware or software solutions. Understanding of research best practices and risk management … AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML … and APIs Proficiency in using and configuring Linux systems A demonstrated proficiency in containerization technologies such as docker Additional coursework or certifications in machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques Innovative prompt design skills possessing the ability to 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 »