526 to 550 of 2,070 AWS Jobs in London

problems through coding and collaborating with customers to design products Proven commercial experience in Rust Strong SQL proficiency, including data transformation expertise Building and managing cloud software solutions on AWS, GCP, or Azure Interested in working in Ai centric environments Potentially Py03 experience and refactoring Python/Julia code to Rust As a self-starter and exceptional problem-solver in … working Rust software regularly. The company are profit making, have team members globally with over 500 employees, very established and very reputable. Other key skills: Rust, TDD, BDD, Microservices, AWS, Distributed Systems, PY03, SQL, Kafka, Docker, Kubernetes, Tokio, Async Apply for immediate consideration for this excellent Rust Engineer opportunity! Understanding Recruitment is acting as an employment agency for this Rust More ❯

a Data Engineering Consultant who can blend deep technical expertise with strong client-facing skills. You’ll lead the design and delivery of modern data architectures using Databricks on AWS or Azure , developing high-performance pipelines and helping businesses unlock the power of their data. What You’ll Do Design and build modern data solutions using Databricks on the cloud … For 6+ years of hands-on experience in data engineering Proven expertise in Databricks (deployment, pipeline development, performance optimisation) Strong coding skills in Python and SQL Solid experience with AWS or Azure Familiarity with DevOps practices (CI/CD, Infrastructure as Code) Confident in technical solution design and stakeholder communication Comfortable mentoring engineers and contributing to pre-sales activity Why More ❯

a Data Engineering Consultant who can blend deep technical expertise with strong client-facing skills. You’ll lead the design and delivery of modern data architectures using Databricks on AWS or Azure , developing high-performance pipelines and helping businesses unlock the power of their data. What You’ll Do Design and build modern data solutions using Databricks on the cloud … For 6+ years of hands-on experience in data engineering Proven expertise in Databricks (deployment, pipeline development, performance optimisation) Strong coding skills in Python and SQL Solid experience with AWS or Azure Familiarity with DevOps practices (CI/CD, Infrastructure as Code) Confident in technical solution design and stakeholder communication Comfortable mentoring engineers and contributing to pre-sales activity Why More ❯

and meet quality standards. This role bridges technical proficiency with people management, making you a key player in our engineering organisation's success. Technical Environment Frontend: React, TypeScript Backend: AWS Lambda, TypeScript Infrastructure: Serverless Framework, Terraform AWS cloud infrastructure CI/CD pipelines Key Responsibilities Leadership Lead and mentor a team of engineers, providing guidance and regular performance feedback Conduct … Communicate technical concepts to non-technical stakeholders Required Skills & Experience Experience mentoring and developing engineers Strong hands-on coding abilities in TypeScript and React Experience with Serverless architectures and AWS Proven track record of delivering complex technical projects Excellent communication and interpersonal skills Strong system design and architectural skills Preferred Qualifications Experience in SaaS or integration-heavy platforms Knowledge of More ❯

a leading software house with offices across the U.K. and Europe, and exciting plans for further expansion. We're looking to bring on board multiple Cloud Engineers (Azure/AWS/GCP) to support a growing Cloud team, with a focus on the design, build, and maintenance of cutting-edge cloud infrastructure. What Youll Bring to the Team: Eligibility for … Security Clearance This is a must! We can only consider candidates who meet this requirement. Proven experience as a Cloud Engineer (AWS, Azure and/or GCP). Proficiency in configuration management tools (Puppet, Ansible, Chef, etc.). Strong scripting skills to automate and streamline processes. Expertise with Docker and Kubernetes (or other containerisation/virtualisation tools). Experience setting More ❯

+ Python (Django/FastAPI) Integrate AI/ML components into our SaaS products Drive UI/UX design to build intuitive dashboards for global clients Manage and improve AWS infrastructure (CDK, ECS, EKS) Lead sprint planning, technical design, and release staging Collaborate with our existing team to ship fast, elegant solutions ?? Your Skillset Were looking for a driven builder … who thrives in fast-moving environments and enjoys solving difficult problems. Youll need: Strong Python skills + experience building AI/ML-enabled products AWS expertise (CDK, ECS, or EKS) React proficiency + modern front-end workflows Solid knowledge of Docker (Kubernetes experience a plus) Experience shipping SaaS platforms end-to-end Strong communication and debugging skills Bonus if youve More ❯

Python, ML/AI frameworks (PyTorch, TensorFlow, Hugging Face) Proven MLOps, big data, and backend/API development experience Deep understanding of NLP and LLMs Proficient with cloud platforms (AWS/GCP/Azure), Airflow, DBT, Docker/Kubernetes Strong collaboration, problem-solving, and coding best practices Nice to have: LLM fine-tuning, streaming data, big data warehousing, open-source More ❯

using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a … Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and documentation skills Benefits 100% REMOTE Working with More ❯

Python, ML/AI frameworks (PyTorch, TensorFlow, Hugging Face) Proven MLOps, big data, and backend/API development experience Deep understanding of NLP and LLMs Proficient with cloud platforms (AWS/GCP/Azure), Airflow, DBT, Docker/Kubernetes Strong collaboration, problem-solving, and coding best practices Nice to have: LLM fine-tuning, streaming data, big data warehousing, open-source More ❯

SOC tools team to improve alerts and monitoring. Maintain the confidentiality, integrity, and availability of LMAX information assets. Continuously improve monitoring and alerting systems feeding into SOC tools. Requirements: AWS expertise & Cloud Security: Experience in implementing security controls across AWS; Azure knowledge is a plus. Cloud & Networking Skills: Experience with cloud networking. Kubernetes: Experience securing Kubernetes environments, including logging and More ❯

to deliver world-class Data applications. Contribute to the Technical/Architecture direction of the team. Be building Data Pipelines Be Data Modelling Be deploying applications to the Cloud (AWS) We'd love to hear from you if you Have strong experience with Python & SQL Have experience developing data pipelines using dbt, Spark and Airflow Have experience Data modelling (building … optimised and efficient data marts and warehouses in the cloud) Work with Infrastructure as code (Terraform) and containerising applications (Docker) Work with AWS, S3, SQS, Iceberg, Parquet, Glue and EMR for our Data Lake Experience developing CI/CD pipelines More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share More ❯

details, and environment setup Incident management Here's what we're looking for: Experience Strong collaboration skills Launching and operating production scale kubernetes clusters Designing and operating infrastructure on AWS and other providers Operating MongoDB (or other document database) clusters Operating Redis (or other key-value storage) clusters Administering Linux servers Maintaining distributed software Operating Prometheus and Grafana Operating logging … collection and analysis systems Participating in the on-call rotation(4:00am - 16:00pm UTC) Skills: Kubernetes & containers (advanced) AWS/EKS (advanced) Linux (advanced) Terraform and IaC in general (proficient) Helm (proficient) Go and/or Python (familiar) MongoDB (or similar) Redis (or similar) Monitoring - prometheus, grafana, thanos (familiar) Grasp of networking concepts (subnets, routing, peering, load balancing, NAT More ❯

details, and environment setup Incident management Here's what we're looking for: Experience Strong collaboration skills Launching and operating production scale kubernetes clusters Designing and operating infrastructure on AWS and other providers Operating MongoDB (or other document database) clusters Operating Redis (or other key-value storage) clusters Administering Linux servers Maintaining distributed software Operating Prometheus and Grafana Operating logging … collection and analysis systems Working hours within 16:00pm - 4:00am UTC Skills: Kubernetes & containers (advanced) AWS/EKS (advanced) Linux (advanced) Terraform and IaC in general (proficient) Helm (proficient) Go and/or Python (familiar) MongoDB (or similar) Redis (or similar) Monitoring - prometheus, grafana, thanos (familiar) Grasp of networking concepts (subnets, routing, peering, load balancing, NAT, etc.) Common networking More ❯

and product teams to deliver business impact Skills & Experience: Expert in SQL , dbt , and cloud data warehouses (e.g., BigQuery, Redshift) Strong experience with Airflow , Python , and multi-cloud environments (AWS/GCP) Proven background in designing and scaling analytics solutions in agile environments Proven experience as an Analytics Engineer Nice to Have: Experience with Looker or Power BI Familiarity with More ❯

across the data platform, including data pipelines, orchestration and modelling. Lead the team in building and maintaining robust data pipelines, data models, and infrastructure using tools such as Airflow, AWS Redshift, DBT and Looker.Ensuring the team follows agile methodologies to improve delivery cadence and responsiveness. Contribute to hands-on coding, particularly in areas requiring architectural input, prototyping, or critical delivery … to foster team growth and development Strong understanding of the data engineering lifecycle, from ingestion to consumption Hands-on experience with our data stack (Redshift, Airflow, Python, DVT, MongoDB, AWS, Looker, Docker) Understanding of data modelling, transformation, and orchestration best practices Experience delivering both internal analytics platforms and external data-facing products Knowledge of modern software development practices (Agile, Scrum More ❯

be successful, you will have the following experience: Extensive C/C++ , Python, Bash, PowerShell coding experience Deep understanding of GCC, Clang, MSVC, and cross-compilation processes Azure, GCP, AWS build experience Proficiency with Docker and container-based build environments Experience of developing binary data sets Able to obtain SC Clearance Within this role, you will be responsible for: Design More ❯

Requirements: 1st 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, 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 ❯

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 ❯

Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building Proof of Concepts (POCs) Client engagement or business development experience Your Responsibilities: Collaborate with the development team to build a comprehensive knowledge More ❯

ll Need: 4+ years of experience in Platform Engineering, Cloud Engineering, or DevOps Hands-on experience in DevSecOps, Site Reliability Engineering (SRE), or Agile Delivery Strong cloud expertise in AWS, Azure, or GCP Proficiency in Infrastructure as Code (IaC) using Terraform, GitHub, and Ansible A solid understanding of cloud security, networking, and scalability principles Experience working in Agile environments and More ❯

ll Need: 4+ years of experience in Platform Engineering, Cloud Engineering, or DevOps Hands-on experience in DevSecOps, Site Reliability Engineering (SRE), or Agile Delivery Strong cloud expertise in AWS, Azure, or GCP Proficiency in Infrastructure as Code (IaC) using Terraform, GitHub, and Ansible A solid understanding of cloud security, networking, and scalability principles Experience working in Agile environments and More ❯

Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building Proof of Concepts (POCs) Client engagement or business development experience Your Responsibilities: Lead a small team of GenAi Developers Collaborate with the 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 ❯

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 ❯

experience as a software engineer. Strong understanding of JavaScript & React, including their performance implications in browsers. ️ Our Tech Stack Backend: Golang Frontend: TypeScript/React/Next.js Infrastructure: Terraform, AWS Containerization: Docker Database: PostgreSQL APIs: GraphQL (Hasura, Apollo More ❯