19 of 19 Azure Machine Learning Jobs in the Thames Valley

Cora Sequence team. In this role, you will be instrumental in designing, developing, deploying, and managing AI/ML solutions on the Microsoft Azure platform. You will work closely with data scientists, researchers, and product managers to translate complex analytical models into production-ready, scalable applications. Your … Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). • Model Deployment & Management ...

working with a leading international professional services firm to recruit a Data Scientist – Senior Consultant to support the delivery of innovative analytics and machine learning solutions in a fast-paced, collaborative environment. This is a fantastic opportunity to work on a diverse range of high-impact … data capabilities and delivering meaningful insights that underpin business-critical decisions. What You'll Do Develop and deploy advanced analytics, data science, and machine learning solutions across a variety of use cases. Use technologies such as Python, R, Azure, Databricks, SQL, Power ...

science and open AI Technical Expertise: •Proven experience in data science leadership roles with team management. •Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). •Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. … Knowledge of cloud architecture, data engineering, and security best practices. •Design and implement ML pipelines on Azure Machine Learning. •Own end-to-end model lifecycle: data ingestion, feature engineering, training, deployment, and monitoring. •Excellent communication and stakeholder management skills Key Responsibilities: •Team Leadership & Management •Manage ...

understanding of best practices in analytics and AI-assisted data workflows. Execute on projects and initiatives independently, incorporating automation, generative AI tools, and machine learning–assisted analytics where appropriate. Provide support to analytics team members by sharing expertise in AI-powered data preparation, visualization, and insight … Tableau, Power BI, or AI-augmented BI tools (e.g., Tableau Pulse, Power BI Copilot). Intermediate to advanced understanding of statistics and practical machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ...

understanding of AI/ML concepts, data modelling, and model lifecycle management. Proficiency in JavaScript, Power Fx, and integration with APIs. Familiarity with Azure Cognitive Services and Dataverse. Good knowledge of SQL and data handling. Key Responsibilities Develop and implement AI models using Microsoft AI Builder within … with Python or R for advanced AI/ML scenarios. Exposure to cloud platforms (Azure AI, Azure Machine Learning). Knowledge of Power BI for analytics integration. ...

descriptive analytics) to solve complex business problems. Work across multi-cloud platforms (AWS, Azure, GCP) to build and deploy scalable machine learning solutions. Collaborate with stakeholders to translate business requirements into technical solutions. Lead data strategy and advisory engagements, providing consulting expertise … frameworks (Spark, Hadoop). Experience in consulting or client-facing roles, with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms, statistical modeling, and data visualization tools (Power BI, Tableau). Excellent communication and presentation skills. Preferred Qualifications: Master ...

timely data availability. What you will do Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality … Projects You Work On Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions ...

Generative AI solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including … Certification Master's or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field. Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable. ...

Generative AI solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including … Certification Master's or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field. Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable. ...

Generative AI solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including … Certification Master's or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field. Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable. ...

Director of Data & AI | Microsoft Azure Stack | AI-Driven Legal Platform Workplace Type: Hybrid Location: London Salary: 130-150k The Role This is a senior leadership role for someone who wants to sit at the heart of a business where AI is already embedded into live … Employee Benefits Private medical insurance 25 days holiday Pension Hybrid working (2 days per week in the office) Director of Data & AI | Microsoft Azure Stack | AI-Driven Legal Platform ...

real-world impact, not just slideware. Build trust with clients through proof of value and live examples of implemented solutions. Required Technical Skills Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, Reinforcement Learning, LLMs (e.g., GPT, Claude, Mistral, LLaMA … DeepSeek, etc.). Agent-based architectures, RAG, prompt engineering, chatbots, classification, summarization, speech-to-text, image understanding. Cloud platforms (AWS, Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development tools (e.g., GitHub Copilot, Tabnine). Familiarity with data platforms like Dataiku, Databricks. Strong software ...

Pharma are looking for a Data Engineer to lead the development of an Azure-centric environment that supports data science, machine learning, and high-performance compute workloads. About the Role In this role, you will design and manage an Azure … driving cloud strategy, embedding strong governance practices, and delivering enterprise-grade architectures aligned with modern data platform principles. Key Responsibilities Design and implement Azure cloud infrastructure, including networking, identity, storage, Kubernetes, and HPC solutions. Architect and manage secure Trusted Research Environments (TREs) in line with governance ...

junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior ...

junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior ...

junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior ...

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). ...

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). ...

people. Technical Expertise •Proven experience in client-facing analytics leadership roles (preferably in healthcare or public sector). •Strong knowledge of data platforms (Azure), AI/ML frameworks, and visualization tools. •Expertise in stakeholder management, solution architecture, and project governance. •Understanding of Responsible AI, data ethics … change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. All aspects of employment at Infosys ...