1 to 25 of 26 Azure Machine Learning Jobs with Hybrid or WFH Options

Machine Learning Engineer - Zurich, Switzerland (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Computer Vision, Apache Spark, Jupyter Notebooks, Docker, AWS SageMaker, Azure Machine Learning, Google Cloud AI … OpenCV, Flask (for building APIs), FastAPI, TensorFlow Serving, ONNX (Open Neural Network Exchange), PyCaret, Hugging Face Transformers, DVC (Data Version Control), MLflow, Kubeflow, Machine Learning Engineer) We have several exciting new positions available for Machine Learning Engineers (Python, TensorFlow, PyTorch, ML/… reshaping the landscape of AI, offering innovative models that exceed current industry benchmarks. Come aboard our team and help shape the future of machine learning and AI. Our client is looking for passionate Machine Learning Engineer candidates with experience in some or 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 »

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 … years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: The more »

strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in extracting meaningful insights from diverse datasets. This role requires … Analyse business data and AI priorities, strategies and requirements and translate them into reusable architecture artefacts for the enterprise. Develop and deploy advanced machine learning models using Azure Machine Learning and open-source stack. Apply statistical analysis and hypothesis … a plus. Understanding of Knowledge Graphs and LLM's is advantageous. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Strong problem-solving skills and the ability to translate business challenges into data more »

evolving AI and ML. On a daily basis you will be working with clients to implement large language models, deploying end-to-end Machine Learning pipelines, or carrying out training and certifications to further develop your skills within emerging technologies. Generally your responsibilities will include: Building … Machine Learning models utilising Databricks ML, MS Azure ML and MS AI Studio. Developing your interest and understanding of LLM's. Applying data science and ML operations, methodologies and principles. . Requirements You should be somebody who is passionate about emerging technology, keen … on cutting-edge projects. From a technical perspective you should have experience with the following: Generative AI & LLM's Azure Machine Learning Python Deep Learning Frameworks Deployment options for Machine Learning CI/CD pipelines Agile methodology more »

in delivering cutting-edge analytical solutions primarily on the Azure cloud platform, leveraging their deep expertise in areas such as Machine Learning and Artificial Intelligence. You'll be joining an esteemed team of industry experts and Microsoft MVPs who are extremely passionate about … this may involve helping a customer to implement a large language model to solve complex business challenges, or deploying an end-to-end Machine Learning pipeline to streamline and automate their Artificial Intelligence offerings. Their team is spread across the UK, so you will work predominantly … passion and enthusiasm for what you do! Requirements: Experience developing high-quality Machine Learning models using Databricks ML, Microsoft Azure Machine Learning and Microsoft AI Studio Experience developing production quality code and supporting AI projects from start to production 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 »

Identify opportunities for innovation through analytics, influencing business stakeholders, and shaping them into viable candidates aligned with strategic objectives. Develop and deploy advanced machine learning models using cloud-based platforms. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide, and … projects. Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and models. Experience with cloud services like Azure ML studio, Azure functions, Azure Pipelines … Mlflow, Azure Synapse Analytics, etc., is a plus. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks. Strong problem-solving skills and the ability to translate business challenges into data science solutions. Excellent communication and 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 »

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 »

right technologies and evaluating the evolution of the architecture as the organisation' needs change. Envision, build, deploy and operationalise an end-to-end machine learning (ML) and AI pipeline based on needs. Providing a standard common business vocabulary, expressing strategic requirements, outlining high-level integrated designs … solving attitude and practical troubleshooting skills. Tools Platforms & Tools : Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Snowflake Data Integration, Azure Service Bus, Apache Airflow, Apache Iceberg, Apache Spark, Apache Hudi, Apache Kafka, Power BI, BigQuery, DeltaLake, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App Service, Azure ML is a plus. Languages : Python, SQL, T-SQL, SSIS, and high-level programming knowledge on Spark is a plus. DB: Azure 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 »

services. Join the Ordnance Survey's Automatic Feature Extraction team as a Data Scientist and contribute to solving business and customer problems using machine-learning and data science techniques, particularly with Computer Vision. Be part of a multidisciplinary production delivery team and actively engage in the … engineering best practices in support of ML programming. ? Customer-focused with strong presentation skills. ? Understanding of descriptive, predictive and prescriptive analytics. ? Experience developing machine learning models. ? Ability to structure business problems for evaluation using data science techniques. ? Programming experience, preferably in Python, and familiarity with version … Patterns) ? Experience mentoring or advocating best practice to team members. Technologies We Use : Python (including Data Science libraries such as NumPy, Pandas, Matplotlib, PyTorch), AzureML, QGIS. Our wider team also uses Esri ArcPro and geoprocessing tools, FME, Bicep, Azure Batch, Azure Pipelines, YAML, SQL. more »

+ BONUS AND BENEFITS I’m working with a leading Microsoft Partner who currently hold 13 specialisations across the Azure tech stack. This is a great opportunity to join an experienced team of Microsoft specialists who can help to grow your professional and technical skills each day. … using the Kimball methodology Experience or awareness of Big Data and Data Science related technologies, such as R or Azure Machine Learning, to design and implement predictive analytics models Excellent communication and problem solving skills There is a great opportunity for career development more »

s Automatic Feature Extraction team as a Senior Infrastructure Engineer and contribute to solving business and customer problems using Microsoft's cloud offering Azure to orchestrate exciting new solutions. Be part of a multidisciplinary production delivery team and actively engage in the analytical community at OS. Who … skills in software engineering & industry best practice (including (TDD, CI, Clean Code, creating testable code, Design Patterns). Technologies We Use : YAML, Bicep, Azure Pipelines, Azure Data Factory, Function Apps, Azure Batch. Our wider team also … uses Python, Esri ArcPro and geoprocessing tools, FME, SQL and AzureML. While not required, the following skills would be a plus: Experience of using AzureML to orchestrate Machine Learning models. Experience of processing geospatial data. Remember, you don't need to tick every box to apply. more »

Experience of architecting data solutions across hybrid (cloud, on-premise) data platforms. Knowledge of data science platforms such as Azure Machine Learning, Amazon SageMaker, Databricks, DataRobot, Snowflake etc., to enable the use of data and tie in with roadmap aspirations. Strong knowledge of more »

do have. Proficient working with: Python backend API implementation (we use FastAPI, Node.js, React, REST, CRUD, GraphQL, WebSockets) a cloud platform (we use Azure) a relational database such as Postgres/MySQL including design, tuning, and safety a cloud data platform and No-SQL data (we use … Azure Fabric, Redis, MongoDB and Azure Data Factory) platform engineering (DevSecOps, CI/CD, IaC/DaC – we use GitLab & GitHub Actions) Message Brokers (we use Azure Event Hubs, Azure Logging and Kusto QL) using 3rd party tools like Datadog, Github, and CircleCI for DevOps practices Competent working with: Microservices Architecture a Machine Learning framework and tools (we use TensorFlow, PyTorch, Keras, Azure, NVIDIA ML, Pandas, SciPy, Numpy and OpenPose) Computer Networking more »

We complement conventional engineering approaches to solving problems, by leveraging subject matter expertise and domain knowledge alongside simulation-driven design, data science and machine learning. Our mission is to make energy affordable and accessible to everyone - enabled by providing our clients with 5 key capabilities:1. Digital Advisory … Synapse, ADLS, AWS, Hadoop, Spark, Snowflake, No-SQL etc).· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of the main types of ML model with particular reference to the required data structures, formats and hygiene. · Au fair with … how current machine learning tools and platforms (Python, IBM, Knime, Github, R, Spark, Weka, Amazon ML, Azure ML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML models (Tensorflow, ML Flow, AWS Studio more »

We complement conventional engineering approaches to solving problems, by leveraging subject matter expertise and domain knowledge alongside simulation-driven design, data science and machine learning. Our mission is to make energy affordable and accessible to everyone - enabled by providing our clients with 5 key capabilities:1. Digital Advisory … Synapse, ADLS, AWS, Hadoop, Spark, Snowflake, No-SQL etc).· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of the main types of ML model with particular reference to the required data structures, formats and hygiene. · Au fair with … how current machine learning tools and platforms (Python, IBM, Knime, Github, R, Spark, Weka, Amazon ML, Azure ML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML models (Tensorflow, ML Flow, AWS Studio more »

to gather requirements, provide updates on project progress, and solicit feedback. Effective communication skills are essential for clarifying requirements and resolving issues. Continuous Learning: Staying updated with the latest developments in PowerApps, SQL, and related technologies to enhance skills and improve the quality of solutions. This may involve … construction/utilities sector experience, degree qualified Civil Engineer. Useful: Python PHP PostgreSQL Java C#.net Microsoft - PowerBI Microsoft - Visual Studio Microsoft - SharePoint MS Azure - Data Factory MS Azure - Synapse MS Azure - DataBricks MS Azure - DevOps PowerShell MS Azure - Logic Apps MS AI Builder/Azure ML Technical Specification Proven experience in project management, with a focus on digital change and transformation projects Strong experience with the Microsoft PowerPlatform, SQL, html, DAX and a thorough understanding of respective capabilities Demonstrated experience managing projects more »

for other stakeholders across the 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 »

ML techniques to design, implement and operate robust and cutting-edge solutions.By joining Deloitte, you will have access to the best training and learning opportunities, allowing you to develop new skills and hone existing ones. You will be working in fast-paced teams with other highly talented, fun … workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot.Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging; serverless … embedding, Vector database technologies and Semantic Search techniques & tools.Experience in writing robust and efficient code in Python.Experience in using tools related to deep learning like PyTorch, TensorFlow, LangChain.Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML more »

ML techniques to design, implement and operate robust and cutting-edge solutions.By joining Deloitte, you will have access to the best training and learning opportunities, allowing you to develop new skills and hone existing ones. You will be working in fast-paced teams with other highly talented, fun … workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot.Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging; serverless … embedding, Vector database technologies and Semantic Search techniques & tools.Experience in writing robust and efficient code in Python.Experience in using tools related to deep learning like PyTorch, TensorFlow, LangChain.Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML more »

workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot.Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging; serverless … embedding, Vector database technologies and Semantic Search techniques & tools.Experience in writing robust and efficient code in Python.Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain.Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/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 »