1 to 25 of 61 Permanent Azure Machine Learning Jobs

experience programming with C#.NET. This should include experience with some of the following: WinForms, WPF and SQL Server.Further project experience with cloud computing (Azure), ML/AI integration, MVC web development, real-time data management software (OsiSoft PI Systems), or mapping software (ArcGis) would be beneficial.Applicants are more »

technologies e.g. Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Synapse, Azure ML, Azure Cognitive Services, PowerBIKnowledge and exposure of financial 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 … 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 … 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 »

We're looking for a Lead Machine Learning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable machine learning … As part of your role, you will be responsible for developing, maintaining, and expanding platform(s) that enable data scientists to deploy their machine learning models with ease. What will you do as a Lead Machine Learning Engineer at N Brown? Lead … AWS (SageMaker), GCP (Vertex AI), Azure (Azure ML). A growth mindset - Ability to assess the value Machine Learning brings to the business. An excellent understanding of object-oriented programming (in or highly transferrable to Python) and SQL. An excellent more »

are the day-to-day tasks?Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring … with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows 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 … or 5+ years equivalent work experience within a cloud environment.Cloud Certifications desirableQualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/AssociateMicrosoft Azure Data EngineerMicrosoft Data Scientist AssociateBenefits for our U.K. teams include:Choice to work flexibly 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 »

and cost-saving measures across the organization. Lead and mentor a team of data analysts and BI specialists, fostering a culture of continuous learning and development with a specific focus. Qualifications: Minimum of five years of leadership experience in business intelligence and analytics. Proven track record of success … datasets using statistical techniques. Proven ability to lead and manage a team of data analysts and BI specialists, fostering a culture of continuous learning and innovation. Preference for candidates with experience in Microsoft Azure, Azure Synapse Analytics, and Azure … Microsoft technologies for comprehensive data solutions. Additional consideration for candidates with experience in data science and proficiency in Python for data analysis and machine learning applications. Please share your CV on shivani@thereacthub.com or you can directly call me on +44 2038542459. 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 … ML model deployment and MLOps. Responsibilities Design and implement 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 … 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 »

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 additional Snr Data Engineer to join a well established team, this … 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 … knowledge of Data Governance, Data Catalog, and Master Data Management. 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 communication skills. Please apply if more »

Senior Software Engineering Azure MicroServices Decision \ ML Applications Proven track record of internal development & Promotions. Does it sound like a Product, Tech stack and culture you are looking for? A SaaS company based out of Manchester, offering remote work are about to build its 4th squad in … to the new squad. Developers who love complex solutions and creating simple applications to solve these problems using the latest .Net Core and Azure technology in a Micro Service architecture. Coding principles and quality standards are baked in from the start – SOLID \ TDD is something they live … areas and the position, progression and tech are what you are looking for – let's chat! .NET Core C# MicroServices \ Event-driven Architecture Azure DevOps TDD or Unit testing Now you don’t need to be an expert in all areas, just an understanding and eagerness to more »

to £75k per annum - Perm Must have full rights to work – there is no VISA sponsorship VIQU has partnered with an education and learning institution to find a Head of Data and Integration. You will be managing a team of over 8 Data Officers. The role requires you … as system integration Proficiency in SQL and other relational and non relational databases Data visualization (Tableau/PowerBI) Cloud database knowledge (AWS or Azure) Datamining, ML, AI Can simplify complex data into compelling and insightful stories Analytical and problem solving abilities Experience in Data flow management, data more »

Data Scientist - 1x/month in London - up to GBP80kNFI08082023SF-7_1691513874Are you an enthusiastic Data Scientist who is looking to work with Machine Learning projects?My client are a start-up software company who are looking to change all digital interactions. Due to growing, we … are looking to hire a Data Scientist/ML Engineer with experience in Python,(Numpy/Scikit - learn), ML/Azure ML, SQL and ideally you would have a research and development background. Within this role, you will work closely with Software Engineers, execute R&D programme … your findings, advise the product engineering teams and characterise and optimise candidate technologies.Minimum qualifications required: * Strong experience with SQL/Python * Understanding of Machine Learning, Azure ML and AI * Statistical analysis skills * Excellent communication skillsThe role pays up to 80,000, depending on 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 … ML model deployment and MLOps. Responsibilities Design 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 … 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.) Good understanding of software best practises MongoDB (or NoSQL) experience Terraform experience more »

in data management, governance, data & modelling lifecycles (ML Ops). Seek to improve model efficiency, performance, and scalability Microsoft Technology Stack experience sought (Azure Data Lake, Databricks, Azure ML, Power BI), and capabilities of programming in and understanding R & Python. You will also likely 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 »

Senior Azure (iPaaS) Architect (Fully Remote) - Must be a UK Resident (SC Required) Are you ready to take the lead on a groundbreaking project delivering AI and intelligent automation solutions? This project is critical to enhancing efficiency in the delivery of public services right across the UK. … to deliver high-quality solutions to clients. What you need: Ability to engage with clients/stakeholders and manage these relationships Expert with Azure iPaaS solutions - architecting, designing, building, and deploying various components, i.e., APIM, Logic Apps, Function Apps, Pipelines, Data Factory, Service Bus, Event Grid, Azure 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 »

chain. A strong awareness and experience of process optimization tools, techniques, and approaches, Good Experience in facilitating the process mining around AWS and AZURE Cloud infrastructure. Part of many full life cycle SAP Implementations for major clients. Drive data migration strategy and process to enable quality data … Data base concepts. Oracle, Vertica etc.. SAP Certifications (At least 1) SAP ABAP SAP Functional Modules (SD,MM,CRM, or FI,CO etc..) Machine Learning in The Cloud with Azure Machine Learning. Our Mission ITC Infotech is a leading global technology 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 »