6 of 6 Remote Azure Machine Learning Jobs in Slough

Machine Learning Engineer – SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker … Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to collaborate with … 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 ❯

Factory (ADF) pipelines, working with SQL Server (designing and populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future … performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management … Advanced knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio. Azure Machine Learning: Some experience desirable in implementing machine learning models within Azure Machine Learning More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting edge cloud projects for prestigious clients? This organisation has experienced continually strong growth since founding, and this exciting role would see the successful candidate … Opportunities for career development and progression within the company and support for this Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will be involved in creating ML models to be deployed in the cloud and supporting the Data Engineering, DataOps … grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases like More ❯

to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex … Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience More ❯

to both expert engineers and non-technical business leaders. Have Some Cloud/Data Familiarity Experience with databases, cloud infrastructure (AWS, GCP, or Azure), or AI/ML tools is a plus—but an eagerness to learn is even more important. Preferred Qualifications Bachelor’s or Master More ❯

with the pragmatism to deliver high-impact solutions. Experience of understanding of modern tech like Cursor AI, LLMs (ChatGPT, Groq or similar) and Azure ML is a bonus. Communication : Fluent in written and oral English. Role Overview : Head of Artificial Intelligence Technology Team: This team will be More ❯