526 to 550 of 1,929 Azure Jobs in London

Made For This Experience working directly with non-technical stakeholders and reporting to non-technical leadership Professional experience maintaining production services Experience with any popular cloud provider (AWS, GCP, Azure) Proficient in some modern programming languages like TypeScript, Python, Go, etc. Professional experience with infrastructure-as-code tools such as Terraform, Salt, and container orchestration technologies Excellent communication, interpersonal More ❯

apply data ethics, security and privacy by design; align to service standards and accessibility where relevant. Tech you'll likely use LLM frameworks : LangChain, LlamaIndex (or similar) Cloud & Dev : Azure/AWS/GCP, Docker, REST APIs, GitHub Actions/CI Data & MLOps : BigQuery/Snowflake, MLflow/DVC, dbt/Airflow (nice to have) Front ends (for internal More ❯

managing transport and change governance, incident triage, and root cause analysis. Skilled in monitoring tools like SAP Cloud ALM, observability platforms, and incident management platforms such as Jira or Azure DevOps. Adept at documentation using Confluence and following agile methodologies like Scrum and Kanban. Exceptional stakeholder management and communication skills, with a customer-centric approach. Nice to Have Skills More ❯

experience in DevOps, automation, and infrastructure as code. Proficiency in Git and GitOps methodologies. Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record More ❯

experience in DevOps, automation, and infrastructure as code. Proficiency in Git and GitOps methodologies. Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record More ❯

ensuring that the right tool is applied to the business/technical problem and that the best possible solution is built. With a variety of production systems live across Azure and AWS as well as using low code tools like n8n, those with experience across a wide surface area of technologies are of interest. In addition to this, we More ❯

Develop clean, modular, and scalable codebases using languages like Python, Java, or C#. Architect and deploy microservices that expose AI capabilities via RESTful APIs or cloud-native platforms (e.g., Azure, AWS). Ensure high availability and fault tolerance of AI services in production environments. Build robust data pipelines for preprocessing, feature engineering, and real-time inference. Set up monitoring More ❯

and a proactive learning mindset Nice to Have (Bonus) Certifications such as CEH, CompTIA Security+, ISO 27001 (even if in-progress) Familiarity with cloud security (AWS/GCP/Azure) Experience with SIEM tools (Splunk, ELK stack, QRadar, etc.) Participation in CTFs, bug bounty, or cybersecurity clubs/communities What You'll Get Real-time exposure to cybersecurity operations More ❯

Key responsibilities Professional certifications such as CISA highly desirable. Excellent communication and stakeholder management skills. Ability to work independently and manage multiple projects simultaneously. Experience with cloud environments (e.g., Azure, AWS) and ERP systems. Knowledge of data analytics and automation in audit processes. Understanding of financial systems and controls. Working arrangements The working week: 35 hours per week (Monday More ❯

and a proactive learning mindset Nice to Have (Bonus) Certifications such as CEH, CompTIA Security+, ISO 27001 (even if in-progress) Familiarity with cloud security (AWS/GCP/Azure) Experience with SIEM tools (Splunk, ELK stack, QRadar, etc.) Participation in CTFs, bug bounty, or cybersecurity clubs/communities What You'll Get Real-time exposure to cybersecurity operations More ❯

Graph algorithms, and GenAI (including RAG and agentic frameworks) Experience writing production code Outstanding communication, problem-solving, and analysis skills Excellent coding skills in Python Proficiency with Git, AWS, Azure for remote model development and deployment Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role More ❯

Develop clean, modular, and scalable codebases using languages like Python, Java, or C#. Architect and deploy microservices that expose AI capabilities via RESTful APIs or cloud-native platforms (e.g., Azure, AWS). Ensure high availability and fault tolerance of AI services in production environments. Build robust data pipelines for preprocessing, feature engineering, and real-time inference. Set up monitoring More ❯

knowledge sharing and scalability. About You : To thrive in this role, you will need : Strong knowledge of Python and APIs for effective data integration. Familiarity with cloud platforms, preferably Azure (AWS, GCP experience is also valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). More ❯

knowledge sharing and scalability. About You : To thrive in this role, you will need : Strong knowledge of Python and APIs for effective data integration. Familiarity with cloud platforms, preferably Azure (AWS, GCP experience is also valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). More ❯

for these positions, we are looking for candidates who are interested in a Cloud Engineer role and have an interest in Python andworking with public cloud development - AWS or Azure . We seek to match your interests, skills and background to the roles available. Our Technology Graduate Programme is a 12-month development opportunity for the Tech Savvy. Fast More ❯

in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual More ❯

in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual More ❯

in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual More ❯

in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual More ❯

Solutions Architect, or similar customer-facing technical role. Have a good understanding of web and mobile development technologies (e.g., JavaScript, React, Swift, Kotlin, etc.) and cloud technologies (e.g., AWS, Azure, GCP). Have good knowledge of RESTful APIs and microservices architecture. Have excellent communication skills in English; additional languages relevant to the EMEA region (i.e. German, French). Ways More ❯

TOGAF, Zachman). Familiarity with agentic concepts, LLMs, reasoning engines, planning systems, and orchestration platforms (e.g., LangChain, AutoGen, CrewAI). Strong grasp of DevOps, CI/CD, cloud platforms (Azure, AWS, GCP), and containerization. Knowledge of data architecture, API design, and integration patterns. Soft Skills Excellent communication and stakeholder management. Strategic thinker with a strong bias for execution. Ability More ❯

technical audiences. Collaborative, pragmatic mindset with a strong sense of ownership. Nice-to-have Prior experience in fintech or highly regulated environments. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and container orchestration (e.g., Kubernetes). Exposure to compliance, risk, or secure data architectures. Familiarity with modern DevOps, CI/CD, and infrastructure-as-code practices. Our Technical Principles More ❯

experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical analysis, mathematical modelling etc. Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity More ❯

CIS Controls Working knowledge of networking, OS (Windows/macOS), and security protocols Experience with tools like Splunk, CrowdStrike, Nessus, Palo Alto, Wireshark Basic cloud security knowledge (AWS/Azure/GCP) Scripting experience (Python, Bash, PowerShell) A sharp eye for log analysis, threat investigation & incident response Bonus: Security+/CEH/CySA+ certs A bit about you You More ❯

audiences. Comfortable working in ambiguity and driving clarity through experimentation and data. Preferred Qualifications Experience with speech technologies such as ASR and TTS. Familiarity with cloud environments (AWS, GCP, Azure). Exposure to RLHF, reward modelling, or human preference data collection. Prior work on real-time systems, streaming inference, or memory-efficient model deployment. Benefits and Culture Competitive compensation More ❯