1,801 to 1,825 of 8,491 AWS Jobs in the UK

using distributed frameworks (Spark, Flink, Beam, Hadoop) Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS Strong experience working with Kafka technologies Clear understanding of data structures, algorithms, software design, design patterns and core programming concepts Good understanding of cloud storage ...

Python and SQL, both for development and to review code. Strong working knowledge of database systems (e.g., SQL, NoSQL) and cloud platforms (e.g., AWS, GCP, Azure). Understanding of how to use Git, and other tools such as Docker, as part of the development process. A holistic understanding ...

desirable. Demonstrated ability to mentor engineers and build high-performing, collaborative teams. Experience leading in an agile, cloud-native environment (Docker, Kubernetes, GCP/AWS). Solid understanding of software design principles, testing practises, and CI/CD pipelines. Comfortable influencing without authority and aligning technical decisions with business goals. ...

desirable. Demonstrated ability to mentor engineers and build high-performing, collaborative teams. Experience leading in an agile, cloud-native environment (Docker, Kubernetes, GCP/AWS). Solid understanding of software design principles, testing practises, and CI/CD pipelines. Comfortable influencing without authority and aligning technical decisions with business goals. ...

scaling teams Proven track record of establishing or significantly growing an engineering site or office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large-scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines ...

possess strong Python skills and solid experience in software engineering best practices. You bring hands‐on experience with cloud platforms and infrastructure (e.g. AWS, Azure, GCP), including architecture and security. You’ve worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale. ...

deliver better user experiences MongoDB (we still have legacy systems running on it) CI/CD and DevOps - Docker, build pipelines, automated testing AWS (or similar cloud platforms - GCP, Azure) Kubernetes ElasticSearch Real-time/WebSocket programming Key Responsibilities Contributing code and technical expertise across the full product suite Owning ...

libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps ...

libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps ...

expertise not mandatory)** Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications* Familiarity with at least one major cloud provider (**AWS, GCP, or Azure**)This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ...

Advanced Python and C/C++, with experience of infrastructure-as-code and at least one major cloud provider (AWS, GCP, or Azure) Nice to have: Experience with hardware-in-the-loop or software-in-the-loop test environments Exposure to MLOps, including model drift validation, dataset governance, and automated ...

Kafka, Apache Storm,CouchbaseDB/NoSQL, Spring). Familiarity with modern infrastructure paradigms , such as containerization (OpenShift/Kubernetes) and cloud platforms (GCP/AWS) is highly advantageous. Understanding of AI, machine learning, or advanced quantitative analytics applications in financial systems is a strong plus. Outstanding communication and collaboration skills ...

expertise in software engineering and strong Python skills, focusing on building robust, reusable systems You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure You’ve extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage ...

JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase,within theTreasury/Chief ...

relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON, and XML Experience with cloud platforms, particularly Azure or AWS Strong storytelling and data visualisation skills, including scoping, designing, and delivering engaging client-facing insights using PowerPoint and sustainable dashboards using Power BI and Tableau ...

constructive, solution-oriented feedback. What You Will Bring Essential: Minimum of 5 years experience in software development. Extensive experience in C++, Java, experience with AWS cloud platform, particularly serverless architecture (Lambda, API Gateway), containerisation (ECS, ECR) and CDK. Proficient in Bitbucket and building CI/CD pipelines to automate testing ...

We're growing our Gloucester team and have several opportunities for Lead Software Engineers to work across our Defence, Cyber and Intelligence programmes. You'll help create and improve secure software systems and applications that ...

systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record ...

GitLab CI, or other CI/CD tools for automated testing and deployment. Understanding of testing microservices-based applications. Familiarity with cloud platforms (e.g., AWS, Azure). Understanding of Accessibility testing. Benefits What We Offer: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays ...

model drift, dataset governance, and automated performance evaluation. Expertise in managing complex build environments (e.g., CMake, Bazel) or cloud-native infrastructure-as-code (Terraform, AWS/GCP). Direct experience navigating FDA Q-Sub or MHRA pre-submission processes. Experience with hardware-in-the-loop or software-in-the-loop ...

expertise not mandatory Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications Familiarity with at least one major cloud provider ( AWS, GCP, or Azure ) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ...

Behind every investment is a person with ambitions, motivations and values. While we know that every client is unique, they come to J.P. Morgan Personal Investing for the same reason: our straightforward and transparent approach ...

engines. Optimize processing engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance ...

refactoring complex codebases. Deep knowledge of distributed systems, data architecture, CI/CD, Kubernetes, secure enterprise networking, and at least one major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with ...

have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (with multiple production releases per day) Terraform and Grafana Our Interview ...