51 to 75 of 199 AWS Jobs in the City of London

will need... • 5+ years of software engineering experience with leadership responsibilities • Hands‐on experience in modern backend environments (e.g., cloud‐native APIs) with AWS, Docker, PostgreSQL and/or MongoDB. • Prior experience managing distributed teams • Strength in architecture, system design and scaling strategies • Excellent communication: you'll be working closely ...

demonstrate strong knowledge of: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your technological ...

following is desirable: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your technological weaknesses ...

senior or lead backend engineer with Java (11+) and Spring Boot. Expertise in designing and leading backend architectures for complex systems. Strong understanding of AWS, Kubernetes, and modern microservice-based systems. Experience with Kafka or similar event-driven technologies. Familiarity with RESTful APIs, SQL/NoSQL databases, and CI/ ...

tuning, security) Proven experience building pipelines with Matillion Advanced SQL skills and solid understanding of ELT best practices Experience working with cloud data architectures (AWS, Azure, or GCP) Familiarity with version control systems (e.g., Git) Strong problem-solving skills and attention to detail Ability to communicate clearly with technical ...

debugging, version control, and system design Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX) Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes) Solid understanding of ML fundamentals (model training, evaluation, common architectures) Desired Skills (Bonus Points) Experience with MLOps tooling ...

environments. Proficient in ETL processes, data integration, and data governance frameworks. Solid knowledge of SQL and relational databases. Familiarity with cloud platforms and services (AWS, Azure, or GCP) is an advantage. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively in a cross-functional team environment. Preferred Qualifications ...

Golang) Hands-on experience deploying and operating workloads in Kubernetes Solid understanding of microservices architecture and REST/gRPC APIs Experience with cloud platforms (AWS, GCP, or Azure) Comfortable with CI/CD pipelines and infrastructure-as-code A proactive, collaborative mindset Nice to Have Experience with Helm, Terraform, Prometheus ...

Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Azure, AWS, WPF, MVVM, Prism, continuous integration, dependency injection, Node.js, Elasticsearch and MongoDB. This is a fantastic opportunity to join a prestigious consulting firm that can offer ...

science projects end-to-end, from proof of concept to production Familiarity with NLP and/or large language models Cloud experience (GCP preferred; AWS or Azure also acceptable) Comfortable working autonomously across multiple projects Strong communication skills and a collaborative mindset Experience with Transformers, Hugging Face, or modern ...

administration experience. Sybase Replication/SQL Server Always On. Terraform and Ansible. Experience in financial markets. Logical and physical data modelling (e.g., ERStudio). AWS DMS. System/database decommissioning. Apply with your up-to-date CV in English. ...

either Golang (Go) or Java • Any front end experience is a bonus (e.g. React), but not a must-have • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come ...

years’ experience working with C#/.NET Experience developing front and middle office systems Strong SQL skills Experience with cloud-native solutions (Azure or AWS) Knowledge of event-driven, microservices architectures Full SDLC experience — from design through delivery and support Key Benefits Join a fast-scaling fintech building next-generation ...

integrating AI-powered capabilities to improve learning and coaching outcomes Working across both existing systems and greenfield projects Tech environment Python (core backend) AWS TypeScript, React, Modern CI/CD and cloud-native tooling Experience with event-driven architecture is a plus, but not a blocker. What they’re looking ...

APIs and dashboard integrations in TypeScript and Python. Machine learning infrastructure for prediction and anomaly detection. End-to-end reliability, observability, and cloud scalability (AWS, GCP, Docker, Kubernetes). The Opportunity Full technical ownership — drive architecture, standards, and build at company-defining scale. Work in a collaborative London HQ office ...

across the full stack (Ruby, Go, Python, Typescript) Strong grasp of system design, data structures, and scalable architectures. Familiarity with cloud platforms (e.g. GCP, AWS) and AI tooling. A product-focused mindset and passion for solving real-world problems through technology. Why it’s exciting Work at the intersection ...

similar backend language), with proven experience designing distributed systems, APIs, and microservices at scale. Deep understanding of software architecture, cloud infrastructure (Google Cloud, AWS, or Azure), and modern DevOps practices. Strong knowledge of data structures, algorithms, and system design principles. Demonstrated experience influencing technical direction across teams and driving alignment ...

Familiarity with back testing, signals, or quantitative strategies Basic SQL knowledge Exposure to financial or commodities markets Tech & Tools You’ll Work With Python, AWS, CI/CD REST APIs & real-time data pipelines LLM-driven analytics & event-based data Client-facing dashboards & research workflows Why Join Permutable? Learn ...

optimisation methods (linear, mixed‐integer, reinforcement learning desirable). Strong SQL and practical experience with production‐ready data pipelines. Experience working with cloud environments (AWS, GCP, or Azure). Energy and Market Experience (Highly Desirable) Understanding of electricity markets, PPAs, forecasting, imbalance settlement, or asset telemetry. Experience with data sources ...

Performance profiling and monitoring Building fault-tolerant, high-throughput systems Linux-based environments Network protocols: TCP, UDP, Ethernet, HTTP Experience with Infrastructure as Code (AWS, Ansible) Strong understanding of e-trading workflows, controls, and operational risk Ability to communicate complex technical concepts clearly to senior traders and non-technical stakeholders ...

problems Ability to thrive in a fast-paced environment Prior experience working at startups and/or on consumer-facing products Experience with Java, AWS and/or distributed systems is a plus Experience with Hibernate or similar ORM technologies is a plus Experience with Spring Framework is a plus ...

engagements Experience leading architecture for large-scale, data-intensive platforms Strong understanding of modern data architectures (ingestion, transformation, storage, orchestration, consumption) Cloud platform experience (AWS, Azure or GCP) Strategic architecture capability including roadmaps, trade-offs, and risk management Strong programming skills in Python, Java or Scala Demonstrated experience managing ...

multiple digital touchpoints Collaborate with Product, Data, Marketing, and Engineering teams across multiple locations Tech stack Node.js (TypeScript), Ruby Event-driven systems (Kafka), APIs AWS/GCP, Kubernetes Why it’s exciting Work at scale in a high-traffic, consumer-facing environment Strong engineering culture: automated testing, reliable CI/ ...

production-level AI/ML delivery. * Legal/professional services experience is a plus. * AI/ML frameworks: PyTorch, TensorFlow, LangChain. * Cloud: Azure (preferred), AWS, GCP. * MLOps: CI/CD, model lifecycle, monitoring. * Generative AI: LLMs, RAG, chat agents. * Data engineering alignment: ETL, governance. * Strong coding, communication, and collaboration skills. ...

live services Hands-on development experience using modern machine learning frameworks Excellent Python engineering skills Experience designing cloud-based platforms and deployment workflows e.g AWS Proven experience running containerised applications using Docker and Kubernetes Solid understanding of statistics, data modelling, and machine learning fundamentals Experience mentoring junior engineers and contributing ...