351 to 375 of 911 AWS Jobs in London

data compliance, governance, and auditability. Proficiency in SQL and comfort with data‐visualisation or observability tools (e.g., Datadog, Kibana). Relevant certifications (CISSP, CCSP, AWS Security) are a plus, though proven practical impact matters most. Understanding of payments, compliance, AML, and cryptocurrency ecosystems is highly advantageous. Skills & Attributes Exceptional storytelling ...

Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards ...

Cleared DevOps engineer £400 Inside ir35 Remote - Occasional onsite to your local office - London, Manchester, Newcastle 3 Months initally ASAP Start Tech stack AWS Terraform Spark Python Security scanning agents experience If interested please get in touch with your cv (url removed ...

Engineer on a remote basis, outside IR35, for a growing pharmaceutical company. The key skills required for this MLOps Engineer position are: MLOps AI AWS Python Terraform Kubernetes DevOps background If you do have the relevant experience for this long term remote contract MLOps Engineer role, outside IR35, please ...

engineering teams. With over 10 years of experience in solution architecture, you will define standards and guide project implementations across cloud platforms like GCP, AWS, and Azure. This hybrid position offers the chance to mentor and collaborate with diverse teams while driving technical innovation. #J-18808-Ljbffr ...

Team, to raise standards, own features from scratch & improve an already super fast-paced technical team Tech Stack: Python ( Django/FastAPI) Typescript ( Vue.js) AWS, serverless NoSQL ( MongoDB/DynamoDB Observabilty/Datadog. This role will give you real ownership, ability to work end to end, and requires someone ...

about coding; it's about influencing product and business impact. Desired Skills & Experience Backend JavaScript/TypeScript/Node.js software engineering experience SASS, DynamoDB, AWS Lambda, and Serverless Framework are all beneficial eCommerce/Shopify experience is a bonus ...

just about coding, its about influencing product and business impact Desired Skills & Experience Fullstack JavaScript/TypeScript/Node.js software engineering experience SASS, DynamoDB, AWS Lambda, and Serverless Framework are all beneficial eCommerce/Shopify experience is a bonus ...

Health-tech partner based in Central London who is looking to hire a Senior Backend Engineer, who is expertly skilled in Python, AWS and NoSQL databases. This is a very exciting opportunity to join a company who are creating a product that can help save lives! You will be joining ...

role is remote-working (with some occasional visits to site), and will be operating inside IR35. Requirements Deep expertise with Java/Spring/AWS Hands on production grade experience - or leastPoC forLLM's They will be creating agents and creating code that can run on production as AI agents ...

modern frontend tooling (e.g. Tailwind or similar) is a plus Solid knowledge of relational databases (e.g. PostgreSQL) Experience with cloud platforms and infrastructure (e.g. AWS) About You You’re a hands-on builder who enjoys creating products from scratch Comfortable working in fast-paced, evolving environments Interested in startup ...

mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. ...

platform Proficiency in SQL and data modeling techniques Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data warehousing concepts and best practices Understanding of data governance and data quality principles Preferred Qualifications Experience with modern data ...

Collaborating closely with product and engineering stakeholders in a fast-moving environment Tech Stack Next.js TypeScript Tailwind CSS Node.js PostgreSQL Claude Agent SDK Pydantic AWS Terraform Modal Sandboxes Interested? Apply now or send your latest CV to ASAP!If you haven’t heard back within 48 hours , please assume your ...

Bring Hands-on experience in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments ...

with LLM-based systems (e.g. RAG, agentic workflows, NLP). Strong product and systems thinking with a practical, impact-led mindset. Nice to Have AWS experience (e.g. SageMaker, Bedrock, Lambda, S3, Redshift). Familiarity with MLOps practices. Background in adtech, media, fraud, or adversarial systems. Why Join Work on technically ...

building views, tables, data models) Proven experience using dbt in production environments Advanced SQL skills Experience with Python for data processing Working knowledge of AWS (S3, Glue, Lambda or similar) Domain Experience (Critical) Background in Media, AdTech, or MarTech environments Experience working with data from: DSPs (e.g. DV360, The Trade ...

enterprise customers — from proof of value to renewal — ensuring adoption, performance, and measurable ROI. Key Responsibilities Architect and deploy optimized development environments across AWS, Azure, or GCP. Partner with engineering and platform teams to accelerate developer productivity. Deliver technical coaching, onboarding, and documentation for scalable success. Conduct technical audits, identify ...

building engineering teams in startup or scale-up environments Track record working on data-intensive or high-scale systems Exposure to cloud infrastructure (AWS/Azure/GCP), Kubernetes, or similar Understanding of ML/AI systems in production is a strong plus You’re a builder, not just ...

experience as a Senior/Lead/Enterprise Data Architect Strong background in Insurance and the London Market Experience designing cloud data platforms (Azure, AWS or GCP) Strong data modelling, governance and analytics knowledge Comfortable operating at enterprise level, influencing senior stakeholders Able to balance strategic architecture with pragmatic delivery ...

modern machine learning libraries. * Deep understanding of statistical modelling, experimentation, and model evaluation techniques. * Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure. * Proven ability to communicate complex technical concepts to non-technical audiences. * Experience with Pega Customer Decision Hub and Adaptive Decision Manager ...

senior advisor to stakeholders What We're Looking For Extensive experience in SRE, cloud operations, or DevOps Proven consulting or advisory background Experience with AWS, Azure, or GCP Strong observability and incident management expertise Ability to obtain UK SC clearance Modis International Ltd acts as an employment agency for permanent ...

Proven background as a Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). ...

deliver high-quality, future-proof architectures. Key Requirements Proven expertise in Microsoft Azure cloud-native architecture and services. Experience working within multi-cloud environments (AWS, GCP desirable but not essential). Strong stakeholder management and relationship-building skills, able to operate confidently at all levels of the organisation. Background ...

ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering ...