1,026 to 1,050 of 3,600 AWS Jobs in London

production.Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterprise environments.Excellent communication and stakeholder management ...

Strong expertise in software architecture, system design, and engineering best practices. Experience with microservices, APIs, event-driven architectures, relational databases, and cloud platforms (preferably AWS). Knowledge of CI/CD, Infrastructure as Code, containerisation, observability, and automated testing. Strong communication skills with the ability to influence technical decisions ...

with databases and writing SQL queries, and comfortable partnering with data and application engineers. Bonus Points for Good understanding of cloud technologies such as AWS Serverless, API gateway, Kubernetes, and Terraform, with the ability to guide teams on infrastructure best practices. Experience with monitoring tools like DataDog and general observability ...

agents use memory, tools, and retrieval to complete multi‐step tasks. Enterprise integration: Integrating AI into existing systems via APIs and data pipelines. Cloud: AWS, Azure, or GCP. Delivery: CI/CD, modern SDLC, TDD, and code review. Data: Working with relational, columnar and vector stores, grounded in sound data ...

patterns, modularity, testability).Strong backend/API engineering experience, ideally in Python (e.g. FastAPI, or similar).Hands-on experience building and operating solutions in AWS environments.Proficiency with Docker, GitHub, and CI/CD pipelines.Proven ability to partner with and work across teams to drive delivery into production.Strong problem-solving, debugging ...

done.You have a drive to learn, constantly exploring new technologies and novel applications for existing tools.You possess deep experience with both Azure and AWS as well as Infrastructure as Code, especially Terraform.You are experienced in building and deploying containerized solutions using Docker and Kubernetes, supported by strong CI/ ...

influence architectural decisions whilst mentoring and up-skilling more junior engineersA strong fundamental programmer with experience in distributed systems Familiar with developing with AWS, Kubernetes, Kafka and serverlessKnowledgeable of Agile, TDD and CI/CDExcellent communication skills, both written and spokenEngages actively and collaboratively with team members and stakeholdersAble ...

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

language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands‐on expertise in designing and delivering complex proofs‐of‐concept (PoCs). Pre‐Sales & Customer‐Facing Skills Proven ability ...

Deep understanding of modern cloud environments, infrastructure-as-code, developer tooling, internal dev platforms (IDPs) and distributed systems architecture Familiarity with our tech stack: AWS, Azure, Terraform, Terragrunt, Pulumi, Kubernetes, Docker Strong knowledge of DevOps principles, CI/CD pipelines, and engineering best practices Experience driving operational excellence including reliability ...

data engineer.Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred).Proficient using transformation tools such as PySpark/Pandas.Knowledge and practice of graph databases is preferred but not required.Key responsibilities/Skills and experienceFamiliarity using ...

software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with ...

/full stack developmentComfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworksWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/ ...

stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with ...

running model training or inference pipelines in production (MLOps). Strong Kubernetes experience, including operating production clusters. Hands‐on experience running production workloads in AWS, GCP, or Azure. Experience operating complex distributed systems in production, ideally including compute‐heavy or high‐performance workloads. Experience working with large compute clusters; exposure ...

/JavaScript Experience with the technologies in our stack: React Native (worked on large scale applications) Native mobile development (Swift, Kotlin) Cloud platforms, particularly AWS Able to work in a highly skilled engineering team in a fast-paced, iterative environment. 4+ years experience in your main expertise area (Frontend, Backend ...

experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch ...

integration of new analytics, workflows, and risk datasets. Deliver significant performance improvements through optimized risk calculation strategies. Guide the migration of compute workloads to AWS, implementing best practices for scalability, throughput, resiliency, and cost efficiency. Collaborate actively with NAM and APAC teams in a follow‐the‐sun model to improve ...

platform, including integration of new analytics, workflows, and risk datasets.Deliver significant performance improvements through optimized risk calculation strategies.Guide the migration of compute workloads to AWS, implementing best practices for scalability, throughput, resiliency, and cost efficiency.Collaborate actively with NAM and APAC teams in a follow‐the‐sun model to improve delivery ...

exposure with databases and writing SQL queries, and comfortable partnering with data and application engineers.Bonus Points for:Good understanding of cloud technologies such as AWS Serverless, API gateway, Kubernetes, and Terraform, with the ability to guide teams on infrastructure best practices.Experience with monitoring tools like DataDog and general observability best ...

porting across iOS, Android, Windows and Linux, containerised microservices using Docker and Kubernetes, CI/CD and GitLab environments, distributed cloud platforms including AWS, Azure and OVH, and development environments including VS Code, GitLab and Nexus. We don't expect one person to tick every box. What we do need ...

Understands how agents use memory, tools, and retrieval to complete multi-step tasks.Enterprise integration: Integrating AI into existing systems via APIs and data pipelines.Cloud: AWS, Azure, or GCP.Delivery: CI/CD, modern SDLC, TDD, and code review.Data: Working with relational, columnar and vector stores, grounded in sound data-modelling principles.Languages ...

generation systems and pipelines, and you've built them in real-world contexts.Cloud platform experience – You're experienced with at least one of Azure, AWS, or GCP, and comfortable deploying and maintaining systems in production.Interest in client-facing work – You enjoy the full picture. You're as happy ...

infrastructure.Experience running model training or inference pipelines in production (MLOps).Strong Kubernetes experience, including operating production clusters.Hands-on experience running production workloads in AWS, GCP, or Azure.Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.Experience working with large compute clusters; exposure to AI/ ...

RustSoftware engineering experience building and operating distributed systems in productionWorking knowledge of containerized infrastructure (e.g., Kubernetes) and at least one major cloud platform (AWS, GCP, or Azure)Results-oriented, with a bias towards flexibility and impactWillingness to pick up slack, even if it goes outside your job descriptionDesire to learn ...