701 to 725 of 1,557 Azure Jobs in Central London

3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda) Exposure building and managing data pipelines in production. Experience integrating serverless functions (AWS, Azure or GCP). Passion for fintech and building products that make a real difference. Day to day: Develop and maintain our real-time data streaming pipelines. Write clean, reusable More ❯

Principal: £120,000–£140,000 base + ~20%+ bonus Team : 3–4 person AI team within a 100-person private equity firm Tech Stack : Python, LLMs, MLOps, cloud (Azure, AWS, GCP), agentic systems Visa Sponsorship : Happy to sponsor Interested? Please apply below. More ❯

similar environment, supporting users on the Trayport Joule Trading Screen product You have PowerShell scripting skills for automation and Excel coding skills You're comfortable in an AWS and Azure cloud based environment (no on-prem) You have strong troubleshooting skills You are collaborative and pragmatic with excellent communication and stakeholder management skills You're a technologist, likely to More ❯

design and deliver large-scale digital transformation programmes Exceptional leadership across Enterprise and Solution Architecture, with comfort operating at Director level Knowledge of major vendor ecosystems (SAP, Salesforce, AWS, Azure, GCP, Adobe etc.) and certifications such as TOGAF or SAFe Strategic understanding of Cloud, Data, and AI technologies — and how to integrate them to drive growth and resilience Strong More ❯

preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks, prompt engineering, and orchestration tools. Familiarity with APIs, databases, and cloud infrastructure (AWS, Azure, or GCP). Desirable: Experience in small, agile teams or start-up/SME environments. Knowledge of vector databases, RAG systems, or AI orchestration platforms. Interest in autonomous systems More ❯

of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience in adversarial machine learning and ethical AI governance. DevSecOps expertise for AI/ML pipelines and cloud security (Azure, AWS, GCP). Driven, detail-oriented, and adept at consulting-led sales. Business development and commercial acumen (must have for upper end of banding). Ability to obtain UK More ❯

design and deliver large-scale digital transformation programmes Exceptional leadership across Enterprise and Solution Architecture, with comfort operating at Director level Knowledge of major vendor ecosystems (SAP, Salesforce, AWS, Azure, GCP, Adobe etc.) and certifications such as TOGAF or SAFe Strategic understanding of Cloud, Data, and AI technologies — and how to integrate them to drive growth and resilience Strong More ❯

preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks, prompt engineering, and orchestration tools. Familiarity with APIs, databases, and cloud infrastructure (AWS, Azure, or GCP). Desirable: Experience in small, agile teams or start-up/SME environments. Knowledge of vector databases, RAG systems, or AI orchestration platforms. Interest in autonomous systems More ❯

of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience in adversarial machine learning and ethical AI governance. DevSecOps expertise for AI/ML pipelines and cloud security (Azure, AWS, GCP). Driven, detail-oriented, and adept at consulting-led sales. Business development and commercial acumen (must have for upper end of banding). Ability to obtain UK More ❯

tier consulting with FS clients. Deep understanding of financial services data ecosystems, including regulatory, operational, and technical aspects. Hands-on experience designing and implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow More ❯

designing assessments, or leading capability evaluations preferred. • Excellent communication and stakeholder engagement skills, with the ability to translate technical complexity into actionable insights. • Knowledge of cloud-based AI platforms (Azure, AWS, GCP) and enterprise MLOps environments a plus. • Prior consulting or advisory experience within large organizations is advantageous. More ❯

and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial More ❯

tier consulting with FS clients. Deep understanding of financial services data ecosystems, including regulatory, operational, and technical aspects. Hands-on experience designing and implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow More ❯

with end users and UX impact in mind. Passion for clean abstractions, maintainable code, and well-defined interfaces. Nice-to-haves Experience with cloud-native infrastructure (AWS, GCP, or Azure). Familiarity with auth, billing, or subscription systems . Background in 3D graphics, creative tooling, or ML pipelines . Knowledge of observability tools like Grafana, Prometheus, or OpenTelemetry. This More ❯

designing assessments, or leading capability evaluations preferred. • Excellent communication and stakeholder engagement skills, with the ability to translate technical complexity into actionable insights. • Knowledge of cloud-based AI platforms (Azure, AWS, GCP) and enterprise MLOps environments a plus. • Prior consulting or advisory experience within large organizations is advantageous. More ❯

EDR platforms like CrowdStrike, SentinelOne, or Carbon Black. Working knowledge of network security , including protocols, firewalls, IDS/IPS, and traffic analysis. Experience with cloud security principles in AWS, Azure, or GCP. Ability to interpret and apply threat intelligence to improve controls and detection coverage. Experience with MacOS preferred Strong communication skills — capable of articulating complex technical issues to More ❯

proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding of data modelling, governance, and architecture best practices Familiarity with machine More ❯

and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial More ❯

+ benefits What You’ll Bring Strong experience with React, TypeScript, Redux, Apollo Client , and GraphQL/REST APIs . Experience working in a cloud-native environment ( AWS or Azure ). Familiarity with data streaming (WebSockets, chunked responses) and front-end performance optimisation . Strong understanding of testing frameworks (unit, integration, E2E) - Playwright experience a plus. Bonus points for More ❯

with end users and UX impact in mind. Passion for clean abstractions, maintainable code, and well-defined interfaces. Nice-to-haves Experience with cloud-native infrastructure (AWS, GCP, or Azure). Familiarity with auth, billing, or subscription systems . Background in 3D graphics, creative tooling, or ML pipelines . Knowledge of observability tools like Grafana, Prometheus, or OpenTelemetry. This More ❯

EDR platforms like CrowdStrike, SentinelOne, or Carbon Black. Working knowledge of network security , including protocols, firewalls, IDS/IPS, and traffic analysis. Experience with cloud security principles in AWS, Azure, or GCP. Ability to interpret and apply threat intelligence to improve controls and detection coverage. Experience with MacOS preferred Strong communication skills — capable of articulating complex technical issues to More ❯

proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding of data modelling, governance, and architecture best practices Familiarity with machine More ❯

+ benefits What You’ll Bring Strong experience with React, TypeScript, Redux, Apollo Client , and GraphQL/REST APIs . Experience working in a cloud-native environment ( AWS or Azure ). Familiarity with data streaming (WebSockets, chunked responses) and front-end performance optimisation . Strong understanding of testing frameworks (unit, integration, E2E) - Playwright experience a plus. Bonus points for More ❯

a technology/SaaS/enterprise software environment. Strong experience in business process modelling, requirements gathering, and functional documentation . Hands-on with Agile delivery and tools (e.g. Jira, Azure DevOps, Confluence). Excellent analytical skills and attention to detail; able to turn complex concepts into simple, actionable language. Comfortable collaborating with developers, designers, and product stakeholders . Background More ❯

a technology/SaaS/enterprise software environment. Strong experience in business process modelling, requirements gathering, and functional documentation . Hands-on with Agile delivery and tools (e.g. Jira, Azure DevOps, Confluence). Excellent analytical skills and attention to detail; able to turn complex concepts into simple, actionable language. Comfortable collaborating with developers, designers, and product stakeholders . Background More ❯