1 to 25 of 63 Permanent Azure Machine Learning Jobs

Engineer for FinTech start-up business Day Rate: £550-600 | Location: London/flexible to wfh | 6–9 months contract outside IR35 Skills: Machine Learning and Data Engineering Role responsibilities: Design the data pipelines and engineering infrastructure to support machine learning system … at scale. Take offline models data scientists build and turn them into a real machine learning production system. Develop and deploy scalable tools and services to handle machine learning training and inference. Identify and evaluate new technologies to improve performance, maintainability, and … reliability machine learning system. Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security. Facilitate the development and deployment of proof-of-concept machine 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 »

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 »

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 »

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 »

and Analytics Platform team is in the middle of an exciting transformation in building out On Demand platforms to enable Advanced Analytics and Machine Learning at scale to power multiple Data , AI, ML initiatives. As such, your role will be key contributor to building and securing … next generation Data, Analytics and Machine Learning capabilities into Enterprise Data and Analytics Platform. Job Summary and Mission As a Starbucks senior engineer, your core role will be contributing to the development and operations of our Enterprise AI/ML Platform. In this role you will … You will bring in solid skills to act as an Individual Contributor involving Building and enhancing SRE capabilities for producitonalizing AI/ML models. Azure Cloud Automation using Python or Powershell and ARM Demonstrated expertise in Kubernetes Cluster Design, administration and operations Demonstrated expertise in CICD tooling 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 … 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 »

Senior .Net Developers (.Net 7, Azure, Machine Learning) Bournemouth, Dorset (2-3 days per week in office) £45-65k + 7-8% Bonus + £5k Relocation package. There is a £5000 relocation package available for these roles, but only for candidates in … the right tool from the job rather than being wedded to one stack and are always looking to the future, for example with Machine Learning capabilities (predictive analytics, LLM’s and traditional AI). The culture is relaxed and there’s no red tape. You will … not any design work. They are on to Angular 16/Angular Material but are quite happy to speak to those open to learning it, or transitioning from Vue/React/Svelte for example. The ideal candidate will have Azure DevOps experience and knowledge 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 »

practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC , etc. Familiarity working within an agile team. Developing machine learning models ( Python or TensorFlow ) Familiarity with natural language processing or AI technologies ( e.g LLMs such as ChatGPT or BARD , Embeddings , Prompt … of software or products. Experience in some of the following areas. Experience working with Cloud Native design patterns, with a preference towards Microsoft Azure/Google Cloud. Hands-on Technical experience with at least some of our core technologies (Terraform, Ansible, Packer). Working with cloud cognitive … Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc. Knowledge of Azure Data Factory/GCP Cloud Data Fusion , Microsoft Azure Machine Learning or GCP Cloud ML Engine , Azure Data Lake , Azure Databricks or 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 »

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 »

technologies, and evaluating the evolution of the architecture as the organisation's needs change. Envision, build, deploy and operationalise an end-to-end machine learning (ML) and AI pipeline based on needs. Provide a standard common business vocabulary, expressing strategic requirements, outlining high-level integrated designs … troubleshooting skills. What you’ll be using: 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 »

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 »

unique benefits package that includes personal training sessions, well-being provisions, and an additional day off for your birthday! We benefit from a learning culture and are keen to develop our employees to advance their careers at Aventum. Role Summary You will work in various settings to build … adding activities through automation or outsourcing. Operations: Design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs. Ensuring non-functional system characteristics such as such as security, maintainability, quality, performance, and reliability are captured … Synapse or related tools with cloud-based resources (e.g. Stored Procedures, ADF, NoSQL Databases, JSON/XML data formats) Hands-on experience with Azure Functions, Azure service bus, Azure Data Factory data integration techniques Knowledge of Data Modelling concepts, monitoring, designs 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 … want our legacy to be the leaders we produce for the industry. Will you be next? Job Description: We are seeking an experienced Azure Cloud Architect to join our team. The ideal candidate will have extensive experience in architecting solutions on Azure Cloud platforms … and possess strong DevOps skills, including CI/CD pipelines. The Azure Cloud Architect will play a crucial role in designing, implementing, and maintaining cloud-based solutions for Pharmaceutical clients. Skills Required: Architect level Experience in Azure Cloud platforms. Experience with DevOps roles and more »

and oversee the creation of new data storage systems, managing both unstructured and semi-structured data. Monitor and enforce the use of our Azure platform to ensure that users adhere to agreed-upon processes and practices for code, data, and model governance. Deploy policies and quotas to … spending on the Azure platform and its instances. Maintain and provide support for our Azure platform for Machine Learning, ensuring its continuous availability. Develop engineering solutions for model training, such as ML Pipelines and parallelization. Assist in project and model … documentation, and use of collaboration tools. Extensive experience in scripting, batch processing, and stream processing. Experience with or at least an interest in Machine Learning and widely used technologies, such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as 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 »