26 to 48 of 48 Azure Machine Learning Jobs

future of enterprise AI solutions serving millions of users worldwide. In this role, you will design and implement AI-powered solutions on Microsoft Azure, take ownership of specific AI system components, and collaborate closely with data scientists and senior engineers to deliver scalable, production ready AI systems. … Server and relational database design Hands on experience with Azure ML, containerization (Docker, Kubernetes), and CI/CD Understanding of machine learning model deployment and MLOps practices Familiarity with Azure services (App Services, Azure Functions, Azure ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing ...

Data Science & Machine Learning Engineer (m/f/d) About beON beON is a leading IT consulting firm based in Germany, delivering state-of-the-art IT services and high-performance software solutions to enterprise clients. We specialize in end-to-end digital transformation … Frankfurt, Hamburg, Vienna, Lisbon, and Hyderabad (India), we foster a modern, collaborative, and agile work culture. About the Role As a Data Science & Machine Learning Engineer at beON , you will work on real-world industrial and enterprise use cases - from modeling sensor and process data ...

services and solutions. DXC Technology is recognized among the best corporate citizens globally. The role Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented ML Ops Engineer … decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management ...

services and solutions. DXC Technology is recognized among the best corporate citizens globally. About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team. Youll play a key role in designing, developing, and deploying scalable ML solutions across a variety … work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize ...

ecosystem. You'll ensure that the data platform architecture supports availability and growth targets and that the platforms leverage advances in AI and Machine Learning capability. They are currently working with a 3rd Party Data Partner who have recommended a number of improvements - you'll work … hybrid cloud environment but predominantly Azure/Databricks - Experience of pipeline orchestration management - Strong exprerience with Databricks - Experience of implementing machine learning and AI - Tooling such as Purview and Unity Catalog as well as the use of observability tools such as Monte Carlo ...

Data Engineer, your role focuses on productizing and maintaining our GenAI solutions. You'll play a key part in bridging infrastructure and machine learning. You'll work closely with data scientists and ML engineers to bring GenAI models into production, while ensuring the underlying systems are secure, scalable … broader picture. You have strong problem-solving skills, a proactive and pragmatic attitude, and a collaborative mindset. You also have affinity with machine learning workflows - you don't need to be an ML expert, but you understand how to take a model from notebook to production. ...

data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist … NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to handle, process, and analyse large, complex datasets. Strong understanding ...

Senior AI Developer/Advanced Data Scientist (Contract) - LLMs, Agentic Workflows, Azure AI Foundry Location: Remote (UK/US or LATAM preferred) Engagement: Contract/Fractional (long-term potential) Start: Immediate Client: Boutique AI & Data Science Consultancy Sector: Cross-industry (sector agnostic) About the Opportunity … deploy chatbots and conversational AI systems Implement solutions using Azure AI Foundry and Azure OpenAI Apply machine learning and forecasting techniques to business problems Contribute to solution design and technical best practices Work closely with a senior technical team across ...

role where you build clever models that never get used. Your focus is on creating measurable value for clients using data science, machine learning and GenAI, in a consulting and advisory context. You will own work from the very beginning, asking questions like "What value … redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ...

implement Microsoft-specific solutions with Microsoft Dynamics 365, including Dynamics 365 Contact Centre, Power Platform (Power BI, Power Apps, Power Automate), and Azure services to streamline processes, enhance data insights, and enable personalized interactions, making business operations more efficient and customer-centric. Plan and drive the implementation … met. Ensure all appropriate reporting is in place. Leverage Microsoft’s AI-driven capabilities such as Copilot, Azure AI, and machine learning capabilities to enhance customer experience, business processes and decision-making. Collaborate across our business sharing knowledge within the Accenture ecosystem ...

LLaMA 3, Cohere Command R+, DeepSeek Frameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAI Tools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, Humanloop Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Modal Infra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, Redis ...

ML, or advanced analytics teams in a complex or regulated environment (financial services experience is helpful but not essential). Strong understanding of machine learning, LLMs, Generative AI techniques, and agentic automation, and how they can be applied in real-world scenarios. Familiarity with enterprise … That's why Davy benefits support you through all of life's stages, offering health and wellness, flexible working options, flexible benefits allowance, learning and development opportunities, through to assisted retirement planning. Health and Wellbeing Psychological safety, emotional wellbeing and support are a priority at Davy. We offer ...

base salary Hybrid working with three days in the London office Work with advanced AI platforms including Azure ML, Azure OpenAI, Databricks, MLflow and LangChain Global exposure and the opportunity to work with senior stakeholders across time zones A collaborative, supportive culture that encourages … bring Hands-on experience delivering AI/ML solutions into production environments Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), and cloud platforms (Azure preferred) Experience operationalising models using tools such as Azure ML, Databricks, MLflow Understanding of data engineering, data governance, and lakehouse ...

Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). ...

LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of-Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices … Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch ...

libraries such as spaCy, NLTK, HuggingFace Transformers. • Experience with PDF parsing and text extraction. • Model optimisation and evaluation. • Familiarity with AWS or Azure ML services. ...

SaaS Sales Engineer/Cloud Presales Specialist/AI Presales Consultant/SaaS Integrations/APIs/Security/Compliance/AWS/Azure/GCP/NLP/ML/ISO27001/SOC2/GDPR ...

Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks … Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies ...

Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure, Mainly Remote Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London … more details... Experience required: Development FIRST mentality. You must have been a Developer before moving into Product Ownership Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure ...

Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure, Remote with Travel Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required … more details Experience required: Development FIRST mentality. You must have been a Developer before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure ...

best talent in the industry to create innovative Data Solutions to meet our clients' business needs. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Technology Having strong and proven experience in data … able to analyze given scenarios and come up with approach to meet the customer asks. Talent should be solid, proactive, and capable of learning quickly, allowing them to take on responsibilities with minimal guidance Problem solving skills. Talent should have ability to solve the problem and situation applying ...