51 to 75 of 250 AWS Jobs in Central London

data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential): Familiarity with cloud platforms (Azure, AWS, or GCP) Exposure to C# or other complementary programming languages Benefits: 💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus 🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet) 🚀 Growth: Opportunity More ❯

Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

and deployment. The role is 4/5 days a week in London for the first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD More ❯

and deployment. The role is 4/5 days a week in London for the first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD More ❯

data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential): Familiarity with cloud platforms (Azure, AWS, or GCP) Exposure to C# or other complementary programming languages Benefits: 💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus 🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet) 🚀 Growth: Opportunity More ❯

Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. More ❯

production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a More ❯

production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a More ❯

work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus More ❯

work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus More ❯

stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production More ❯

stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production More ❯

pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business growth. You will be based in our London office. International More ❯

pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business growth. You will be based in our London office. International More ❯

program management experience; with at least 5+ years directly managing projects/products using Agile methodologies Experience working through various Cloud Infrastructure system architectures (preference for those with specifically AWS/Azure, Infrastructure as Code/CI/CD, Networking, operating systems) to influence solutions to solve customer problems Experience in managing programs in highly dynamic, global organisations; with a More ❯

program management experience; with at least 5+ years directly managing projects/products using Agile methodologies Experience working through various Cloud Infrastructure system architectures (preference for those with specifically AWS/Azure, Infrastructure as Code/CI/CD, Networking, operating systems) to influence solutions to solve customer problems Experience in managing programs in highly dynamic, global organisations; with a More ❯

OS builds, imaging, Office 365, Active Directory, and Intune. Proficient in SQL querying, data extraction, and Excel automation (formulas, macros, pivot tables, external integrations). Hands-on cloud experience (AWS/Azure) with infrastructure monitoring and troubleshooting. Proven trading floor support expertise, covering systems such as Flux, Cloud 9, CME, TT, and ICE. Leadership across global teams with strong stakeholder More ❯

high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries. Independent, self-driven engineers who can own delivery without hand-holding. More ❯

explain technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with More ❯

explain technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with More ❯

strong understanding of networking protocols, operating systems and cyber security concepts and technologies. Experience in forensic tools and malware analysis is a plus. Experience with Cloud environments such as AWS/GCP/Azure is a plus. Ability to work across different regions in a process/procedure driven organisation. Excellent verbal and written communication and presentation skills. Senior Security More ❯

strong understanding of networking protocols, operating systems and cyber security concepts and technologies. Experience in forensic tools and malware analysis is a plus. Experience with Cloud environments such as AWS/GCP/Azure is a plus. Ability to work across different regions in a process/procedure driven organisation. Excellent verbal and written communication and presentation skills. Senior Security More ❯

risk alerting Deep understanding of system-level optimization for HFT performance Familiarity with time-series or relational databases for logging and analytics Experience with cloud platforms and containerized infrastructure (AWS, Docker, Kubernetes) Comfortable working in distributed teams across time zones, especially on Linux-based systems Excellent communicator under pressure, able to explain complex systems clearly and concisely A commercially sharp More ❯

to help us build the future of payments. Role Overview: We are seeking a talented and driven Mid-Level Full Stack Engineer with strong skills in Node.js, React , and AWS cloud infrastructure . Youll play a key role in designing, developing, and maintaining scalable microservices and user interfaces for our core payments platform. Youll work in a cross-functional agile … and integrate RESTful APIs and third-party services Write unit, integration, and end-to-end tests to ensure software quality Collaborate on system design and architecture in a distributed AWS environment Implement CI/CD pipelines and deploy applications using AWS services (e.g., ECS, Lambda, DynamoDB, S3) Participate in code reviews, sprint planning, and retrospectives Monitor and troubleshoot production systems … when needed Required Skills & Experience: 3+ years of professional software engineering experience Strong proficiency with Node.js and JavaScript/TypeScript Solid experience building frontend applications with React.js Experience with AWS (at least EC2, Lambda, DynamoDB, CloudWatch) Familiarity with containerization (Docker) and infrastructure-as-code (e.g., Terraform or AWS CDK) Understanding of Agile methodologies and Git-based workflows Bachelors/Computer More ❯