126 to 150 of 899 AWS Jobs in the City of London

years of experience with Java or Python (C++ a plus) Familiarity with databases (e.g., SQL Server, Postgres) Familiarity with developing, testing, or deploying with cloud providers (e.g., AWS, GCP, Azure) Experience using version control software (e.g., Git) Curiosity and a desire to solve challenging problems Strong programming ability A collaborative mindset and eagerness to give and receive feedback Excellent written More ❯

internal tools and scripts in Python, Go, or Node.js. Collaborate on architecture, deployments, and incident response. Requirements 5+ years in DevOps or infrastructure engineering. Strong with Docker, Kubernetes, Terraform, AWS/GCP. Scripting in Python/Go/Node.js/Rust. Experience working in the Crypto/Web3 industry. Benefits Competitive salary. Remote flexibility. Work with leading cryptography engineers. Fast More ❯

Jira tickets. You’ll be hands-on , trusted to make big decisions, and involved across the full stack. You’ll be working with: 🧠 Python (Django) ⚡ JavaScript (React or Vue) ☁️ AWS 🔁 CI/CD 💾 SQL 🤖 GenAI, RAG pipelines & API integrations What we’re looking for: Someone who can deliver end-to-end technical solutions independently Excellent communicator (small team, no silos More ❯

Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn, etc.) • Quant tools & mathematical background • Docker, Kubernetes, AWS 📍 Location : London (1 remote day per week) 💼 Type : Full-time | Competitive comp + performance bonus Ready to build systems that move markets? Apply now or DM for more info. More ❯

data transformations, orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from More ❯

VR to gaming and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale More ❯

is a Back End Leaning Full Stack role. Front End Centric candidates will not be considered I'm afraid* Key Skills: Modern JavaScript (ES6+), Git, SQL (PostgreSQL) TypeScript, React, AWS, Node 6+ years’ engineering experience Join a talented team delivering meaningful improvements in a fast-moving, mission-led environment. More ❯

on customer value over bureaucracy About You 3+ years’ experience building backend systems at scale Strong in C#, Python , Go , Java or similar backend languages Familiar with cloud platforms (AWS, GCP, or Azure) Pragmatic engineer who values both speed and quality Excited by cybersecurity - no prior experience needed, just curiosity London-based or able to collaborate in-person regularly This More ❯

. Strong python skills. Strong communication skills and a willingness to learn in a collaborative environment. Nice to Have: Interest in markets/algotrading. Exposure to cloud platforms (eg AWS), Docker, or CI/CD tooling. DevOps and CI/CD experience. Experience in a compiled language. Understanding of underlying hardware. More ❯

data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-series analysis is a strong plus. More ❯

class - 2;1 Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

/JavaScript experience Hands-on experience debugging production issues with logs, metrics, or error tracking Strong written communication and a proactive, ownership-driven mindset Bonus: Terraform, CI/CD, AWS/Azure, FastAPI, Redis, or React Native/Expo experience Why you’ll love it here: Fully remote with 3 annual offsites 🌍 Competitive salary + meaningful stock options 💰 38 days More ❯

Demonstrated expertise in scaling and managing production systems. Provides comprehensive technical development support, both broad and detailed. Highly proficient in: Python, Java, Spring, JavaScript, Vue, Elasticsearch, PostgreSQL, cloud computing (AWS, Azure), Terraform, ML, GitHub Actions, Jenkins, and Linux. Responsibilities: Own the technical roadmap , aligning it with the product strategy to achieve key business objectives. Architect and manage robust solutions and More ❯

must have experience building ML Infrastructure and cloud architecture from scratch Key Details: Salary: £100k–£180k (flexible for strong profiles) + equity Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we More ❯

related tools. Strong understanding of virtual networking, storage (SAN/NAS), and backup solutions. Experience with automation tools (e.g., PowerCLI, Ansible) is a plus. Familiarity with cloud platforms (e.g., AWS, Azure) and hybrid environments. Excellent problem-solving and communication skills. VMware certifications (e.g., VCP, VCAP) are highly desirable. Nice to Have Skills: Experience with VMware NSX and Horizon. Knowledge of More ❯

and technical teams essential Experience of deep analysis gaining actionable insight from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for More ❯

facing experience. Python for data analysis and automation. Experience with JIRA, Confluence, or Azure DevOps. BI/visualisation tools such as Power BI, Tableau. Cloud data platforms such as AWS, Azure, Snowflake. Financial Crime, regulatory, or compliance project delivery experience. Additional information: This role is Hybrid with 2/3 days a week on-site. We support clients across the More ❯

in engineering teams. Experience building greenfield projects Familiarity with Node.js/NestJS is desirable but not essential. Strong understanding of design patterns, scalability, and system performance. DevOps experience (Docker, AWS, CI/CD pipelines) would be highly valued. Strong database expertise (MySQL and diverse storage paradigms). Nice to have: Prior experience in the iGaming industry or similar complex transactional More ❯

least one major language (experience with functional programming is a plus) Experience with some of the following technologies is beneficial: Elixir, Java, C++, Python, Phoenix LiveView, EmberJS, TypeScript, Postgres, AWS, Docker Why Join Them Work on cutting-edge technology that is reshaping global market infrastructure Thrive in a fast-paced, intellectually stimulating environment Join a small, ambitious team where your More ❯

s most recognised brands design, build, implement, and manage complex IT infrastructure. They’re an industry leader in enterprise technology, holding top-level accreditations with Microsoft, Cisco, Dell, HP, AWS, and many more. We’re looking for an experienced Software Engineering Manager to lead a high-performing team driving the evolution of enterprise systems and digital transformation across global operations. More ❯

s most recognised brands design, build, implement, and manage complex IT infrastructure. They’re an industry leader in enterprise technology, holding top-level accreditations with Microsoft, Cisco, Dell, HP, AWS, and many more. We’re looking for Software Engineers and Senior Software Engineers to join the team as they build modern, scalable software systems supporting enterprise-level digital transformation across More ❯

additional exposure to document-based or NoSQL stores (e.g. MongoDB, Postgres) Strong grasp of core data architecture concepts including schema design and modelling principles Experience working in cloud environments (AWS or GCP ideal) Version control best practices (Git), plus familiarity with automated testing or CI/CD pipelines Bachelor's degree in Computer Science, Software Engineering, or a related field More ❯

Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL More ❯

very flexible hours. Tech Stack: Java 11 (moving to Java 17) Relational Databases- SQL and ORM Tech (JPA, Hibernate) Frameworks- preferably Vaadin or JSF, Wicket, Spring MVC Spring Boot AWS Microservices ML/Big Data- desirable Docker- desirable messaging- GRPC/Solis- desirable Responsibilities: Design and development of low latency software components Contribute across the entire SDLC write and enhance More ❯

systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/ More ❯