51 to 65 of 65 Remote Azure Machine Learning Jobs

Location: Remote/Hybrid Job Type: Full-time About the Role Chapter 2 is working with a leading creative agency to develop scalable machine learning platforms for AI-driven content creation. This role is perfect for an MLOps + DevOps Engineer who thrives in fast-paced … infrastructure, or MLOps roles. Proven expertise in building and maintaining ML platforms at scale. Hands-on experience with cloud platforms (AWS, GCP, or Azure) for ML workloads. Strong proficiency with Docker, Kubernetes, and infrastructure automation (Terraform, CloudFormation). Solid programming skills in Python and familiarity with ML More ❯

Location: Remote/Hybrid Job Type: Full-time About the Role Chapter 2 is working with a leading creative agency to develop scalable machine learning platforms for AI-driven content creation. This role is perfect for an MLOps + DevOps Engineer who thrives in fast-paced … infrastructure, or MLOps roles. Proven expertise in building and maintaining ML platforms at scale. Hands-on experience with cloud platforms (AWS, GCP, or Azure) for ML workloads. Strong proficiency with Docker, Kubernetes, and infrastructure automation (Terraform, CloudFormation). Solid programming skills in Python and familiarity with ML More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software 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 ❯

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 ❯

scale data. Ideal Candidate Will Have: Strong communication and presentation skills, with experience in defence or secure environments. Expertise in cloud platforms (AWS, Azure), IoT, AI/ML, and event brokers (MQTT, Kafka, AMQP). Knowledge of Generative AI, RAG, Python, and event-driven architectures. Ability to More ❯

and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving - Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining - Set up model drift detection, performance monitoring, and automated retraining. ML Pipelines & CI More ❯

Location: London, Hybrid 💰 Rate: Up to £600 per day 📆 Contract: 6 months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional … help shape the data backbone of a next-gen consultancy. What You’ll Be Doing: 🔹 Designing and implementing cloud-native data pipelines using Azure and Databricks 🔹 Building clean, governed data layers for ML, analytics, and application use 🔹 Supporting LLM/AI data workflows through structured and unstructured … Need: ✔ 5+ years in data engineering or backend cloud development ✔ Strong Python, SQL, and Databricks skills (especially PySpark & Delta Lake) ✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions ✔ Understanding of MLOps tooling like MLflow and integration with AI pipelines ✔ Exposure to More ❯

Location: London, Hybrid 💰 Rate: Up to £600 per day 📆 Contract: 6 months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional … help shape the data backbone of a next-gen consultancy. What You’ll Be Doing: 🔹 Designing and implementing cloud-native data pipelines using Azure and Databricks 🔹 Building clean, governed data layers for ML, analytics, and application use 🔹 Supporting LLM/AI data workflows through structured and unstructured … Need: ✔ 5+ years in data engineering or backend cloud development ✔ Strong Python, SQL, and Databricks skills (especially PySpark & Delta Lake) ✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions ✔ Understanding of MLOps tooling like MLflow and integration with AI pipelines ✔ Exposure to More ❯

products, leveraging modern AI/ML frameworks and cloud services. Oversee the design and management of our cloud-first technology infrastructure (e.g., AWS, Azure, GCP). Develop and implement a comprehensive data strategy optimized for AI/ML workflows. Build, mentor, and lead a focused and high … understanding of how modern technology drives business value. Excellent communication and interpersonal skills in a remote work environment. Relevant certifications in Cloud (AWS, Azure, GCP), AI/ML, and/or Security are highly valued. Experience leading remote technology teams is highly desirable. More ❯

months Project snapshot Help a major healthcare client launch a WhatsApp-based AI chatbot hosted on Microsoft Azure. You'll steer the continual learning loop that keeps the bot accurate, safe, and clinically relevant. Key responsibilities . Curate, label and augment real chat data to fine-tune a … large-language-model (Azure OpenAI, Hugging Face, etc.) . Design and run evaluation experiments (precision/recall, BLEU, CSAT, etc.), then turn findings into actionable model tweaks. . Optimise prompts, retrieval-augmented-generation (RAG) chains and guard-rails to meet healthcare compliance standards (GDPR, ISO 27001, NHS … DSPT). . Define a repeatable training pipeline (MLflow or Azure ML) and performance dashboards for business stakeholders. . Champion Responsible-AI best practice - bias checks, explainability, audit logs and drift monitoring. . Work hand-in-hand with the chatbot dev team on release cadences and incident More ❯