8 of 8 Azure Machine Learning Jobs in Edinburgh

team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact.If you're passionate about shaping the future … that create measurable business value at scale.This role combines technical leadership, people leadership, and strategic execution. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems.The ideal candidate ...

reliably across the enterprise. This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will work closely with AI Engineers, Data Scientists … strategies, lifecycle management, monitoring/observability, and Disaster Recovery Experience supporting LLMs, generative AI platforms, or model serving infrastructure. Experience supporting AI and machine learning workloads, with exposure to managed compute for model training and finetuning, experimentation over large datasets, and end to end MLOps pipeline ...

networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning Specialty). Certified cloud Architect Experience of delivering production AI/ML … well-being holistically, supporting our peoples physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. Were proud to be consistently recognized as one of the Worlds Best Workplaces.Join Accenture to work at the heart of change. Visit ...

experienced AI Security Engineering Lead to design and deliver the secure engineering patterns, controls, and tooling that protect our AI and machine learning systems.This is a hands-on technical leadership role, where you will take ownership of complex problem spaces and lead through engineering expertise. … DevSecOps environment.Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding ...

experienced AI Security Engineering Lead to design and deliver the secure engineering patterns, controls, and tooling that protect our AI and machine learning systems. This is a hands-on technical leadership role, where you will take ownership of complex problem spaces and lead through engineering expertise. … Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid ...

network planning and assurance, media supply chains and content operations, or software engineering productivity and developer tooling.Strong understanding of major cloud platforms (AWS, Azure or GCP) and their generative AI services, plus the security, data, compliance and operating-model considerations required for enterprise deployment across complex organisations.Exceptional … client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading ...

experience with Databricks, SQL, and data modelling. Proficiency with big data tools (e.g., Apache Spark, Apache Kafka, Presto, etc.) and cloud services (e.g., Azure, AWS, GCP).Familiarity with data visualization tools and business intelligence (e.g., Power BI). Solid … grasp of ETL workflows within databases/warehouses such as Oracle, PostgreSQL, SQL Server etc.Excellent problem-solving and interpersonal skills.Preferred Qualifications: Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker etc. Knowledge of real-time data processing ...

Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid … shape AI security strategy at national scale. An environment that supports experimentation, an engineering-forward approach, and continuous learning. Training, certifications, and learning pathways across AI, Cloud, Security Engineering, and Architecture. This is a place for you... Our ambition is to be the leading UK business for diversity ...