1,601 to 1,625 of 8,906 Microsoft-Azure Jobs in London

techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model training and deployment. Data Skills: Expertise in data preprocessing, augmentation, and management of large datasets for training purposes. Problem-Solving: Strong analytical and problem-solving skills, with More ❯

Your Experience: Demonstrable experience in supporting or leading an SRE function, with an understanding of aligning engineering work with business needs. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud, and container orchestration with Docker and Kubernetes. Advanced knowledge of monitoring tools (e.g., Datadog, Splunk) and automation through Infrastructure as Code tools like Terraform or CloudFormation. More ❯

languages such as Python, R, or Java. Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms. Solid understanding of AI concepts, algorithms, and methodologies. Knowledge of designing large scale AI solutions, data integration, cleansing, and More ❯

with Linux Excellent problem-solving skills and attention to details Certifications such as CCNA, CCNP, JNCIA, or DevNet Associate are advantageous Bonus Qualifications: Experience with Cloud Networking (AWS, Azure, or GCP) Experience with cloud-based DDoS protection solutions Experience in containerized networking environments (Docker, Kubernetes) Exposure to SDN (Software Defined Networking) and SD-WAN solutions Experience with overlay More ❯

Your Experience: Demonstrable experience in supporting or leading an SRE function, with an understanding of aligning engineering work with business needs. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud, and container orchestration with Docker and Kubernetes. Advanced knowledge of monitoring tools (e.g., Datadog, Splunk) and automation through Infrastructure as Code tools like Terraform or CloudFormation. More ❯

C++. Experience in large-scale production microservices environments and devops operations Deep understanding of distributed systems and microservices architectures. Proficiency with cloud platforms such as AWS, GCP, or Azure, and at least 2 years of experience with containerization technologies like Docker and Kubernetes. Ability to move between teams and projects, working effectively in a dynamic environment. Strong interpersonal More ❯

and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . What's in It for You? We believe in rewarding great work. Here's what you can look forward to as part of our team More ❯

experience in technology consulting, ideally within financial services or related industries Proficiency in cloud technologies, with expertise in at least one of the major cloud platforms (e.g., AWS, Azure, GCP) Strong command over cloud-native application development and deployment practices Experience in designing and implementing high-availability, scalable, and performant systems on cloud platforms Proficiency in one or More ❯

actively participate on cross functional teams. Preferred: Bachelor’s degree in MIS, Engineering or Business. Prior experience in the energy industry. Experience with Power BI, Databricks, Data Factory, Azure DevOps and Git. Experience in Machine Learning. Experience of at least one of the following: Commercial trading businesses Commodity Markets Refining/Petrochemical Process understanding. Willingness and ability to More ❯

and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . Whats in It for You? We believe in rewarding great work. Heres what you can look forward to as part of our team: 25 Days More ❯

and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . What’s in It for You? We believe in rewarding great work. Here’s what you can look forward to as part of our team More ❯

work on multi-disciplinary teams with diverse skillsets. Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD). Experience of working in cloud environments (Azure, GCP, AWS). You are also expected to have: Excellent leadership skills. Able to articulate complex data science concepts to both technical and non-technical audiences. Banking and/ More ❯

. Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience with cloud services (e.g., AWS, GCP, Azure) for model deployment and data management. Strong verbal and written communication skills for both technical and non-technical audiences. There’s something for everyone. We’re a place of More ❯

IaC tools like Pulumi, Terraform, or CloudFormation Good understanding of orchestration tools like Airflow Strong communicator, with experience working cross-functionally Desirable Skills Cloud: AWS (S3, Lambda, MWAA), Azure DevOps Platform: Snowflake, dbt Cloud, Fivetran Orchestration: Airflow (MWAA), dbt jobs Languages: Python, SQL IaC: Pulumi, Terraform Monitoring: DataDog Salary: £60,000 - 90,000 + 10% annual bonus Benefits More ❯

Knowledge of platforms such as Evergent, Paypal, Gigya, Google Ad Manager 360, BitMovin, Piano, and Conviva is a strong plus. • Cloud Computing: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and related services. • Agile Methodologies: Understanding of Agile development practices and experience working in Agile teams. • Continuous Learning: A commitment to staying updated with emerging technologies and More ❯

data governance plans that are in line with ethical considerations, (cyber)security & relevant legislation, and designed their implementation You have experience working on cloud-based infrastructure (e.g. AWS, Azure, GCP) You have demonstrable continuous personal development with relevant data certifications and accreditations You have experience with CI/CD tooling to analyse, build, test and deploy code and More ❯

Integration and E2E tests from scratch. Strong experience in C#, .NET. Strong understanding of BDD, Test Design patterns, and principles. Hands-on experience with CI/CD tools – Azure DevOps is an advantage. Experience working with complex requirements and systems. Demonstrable experience in manual testing and identifying relevant test scenarios. Ability to identify dependencies and risks at all More ❯

backend development using Node.js Experience working with geolocation/geospatial data Experience with graph visualization libraries to represent complex data structures visually Experience with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker) About i2 Our intelligence analysis software tools help analysts and investigators transform data in real-time, enabling customers to detect, disrupt, and defeat sophisticated threats. More ❯

Defender and Intune. Experience of using relevant IRM/Data Classification/Data Discovery tools Extensive experience in a globally distributed environment spanning multiple platforms such as AWS, Azure and GCP Experience of cloud security techniques in a DevSecOps and agile working environment Experience in understanding and capturing requirements, continuously improve and develop technical policies and processes Experience More ❯

across various Application types (cloud, web, mobile, IoT/Embedded, etc.). Experience with reviewing application security architectures & engaged technologies. Experience with Mobile (iOS & Android), Cloud (GCP, AWS, Azure, etc.) or Web (Frontend & Backend) platforms. Experience in reading source code, discerning business logic pitfalls, and identifying security flaws in at least one of the following groups of languages More ❯

databases (PostgreSQL, MongoDB) and data processing Track record of shipping reliable, scalable applications to production Proven problem-solving abilities and analytical thinking Experience with cloud platforms (AWS, GCP, Azure) Valuable Additional Skills: Experience with data analytics and visualization tools Familiarity with vector databases and AI/ML integration Experience with LLM orchestration frameworks (LangChain, LangGraph, etc.) Financial domain More ❯

databases (PostgreSQL, MongoDB) and data processing Track record of shipping reliable, scalable applications to production Proven problem-solving abilities and analytical thinking Experience with cloud platforms (AWS, GCP, Azure) Valuable Additional Skills: Experience with data analytics and visualization tools Familiarity with vector databases and AI/ML integration Experience with LLM orchestration frameworks (LangChain, LangGraph, etc.) Financial domain More ❯

databases (PostgreSQL, MongoDB) and data processing Track record of shipping reliable, scalable applications to production Proven problem-solving abilities and analytical thinking Experience with cloud platforms (AWS, GCP, Azure) Valuable Additional Skills: Experience with data analytics and visualization tools Familiarity with vector databases and AI/ML integration Experience with LLM orchestration frameworks (LangChain, LangGraph, etc.) Financial domain More ❯

databases (PostgreSQL, MongoDB) and data processing Track record of shipping reliable, scalable applications to production Proven problem-solving abilities and analytical thinking Experience with cloud platforms (AWS, GCP, Azure) Valuable Additional Skills: Experience with data analytics and visualization tools Familiarity with vector databases and AI/ML integration Experience with LLM orchestration frameworks (LangChain, LangGraph, etc.) Financial domain More ❯

s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, or related field OR equivalent experience. Preferred Qualifications: Experience with Git and GitHub Experience using Azure technologies is a bonus Experience using front-end frameworks like React.js Understanding of REST principles and experience with backend APIs Comfortable working transparently in an agile environment and soliciting More ❯