22 of 22 Contract Amazon S3 Jobs in the UK excluding London

data scientists and ML engineers to reduce time-to-production for experiments and prototypes. Design and optimize data wrangling and transformation workflows using Python. Leverage AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices More ❯

expereince. Strong expertise in Java 8, microservices, event-driven systems. Kafka – production clusters, consumer lag, scaling, tuning, troubleshooting. MongoDB – replication, sharding, performance tuning, backups/restores. AWS – EC2, VPC, S3, RDS, IAM, ALB/NLB; HA design and cost optimisation desirable. Terraform – production experience (modules, remote state, multi-env, collaboration). Linux administration – CLI tools, system performance, network debugging More ❯

infrastructure strategy, drive automation, and strengthen CI/CD practices to keep our technology reliable and scalable. Required Technical Skills 5+ years AWS experience (VPC, EC2, ECS, EKS, EFS, S3, Workspaces, Security Groups, CloudWatch/CloudTrail, IAM). Strong containerization expertise (Docker or similar). Scripting and automation with Python or Bash. Modern CI/CD practices and pipeline More ❯

level programming and deep understanding of the language and its core libraries Spring Boot: Expert in building RESTful APIs and microservices AWS: Strong experience with core AWS services (EC2, S3, Lambda, IAM, etc.) Kafka/Messaging Systems: Expertise in building event-driven architectures SQL: Strong experience with relational databases and query optimization REST/JSON APIs: Designing, developing, and More ❯

consultant who is willing to engage with clients, learn domain knowledge, be proactive and curious in addition to standard tech would be ideal for the role. Tech Stack: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL), Glue, Glue Data Catalog Python Current frontend is Tableau but experience with any of them will be interchangeable DevOps experience a More ❯

Proven experience as a Data Architect or Lead Data Engineer in AWS environments* Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda* Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and More ❯

pipelines and ETL processes for capital markets data Hands-on experience with AWS cloud services and Snowflake data platform Experience with cloud-native development patterns and AWS services (Lambda, S3, RDS, etc.) Hands-on experience integrating with OMS platforms (Aladdin, Murex, Charles River, etc.) including data extraction, transformation, and real-time feeds Strong understanding of the capital markets trade More ❯

Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS API development: FastAPI, Requests, JWT/OAuthDevelopment Practices Agile methodologies (Scrum/Kanban), XP techniques (TDD, pair programming) Infrastructure-as-code and More ❯

Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS API development: FastAPI, Requests, JWT/OAuth Development Practices Agile methodologies (Scrum/Kanban), XP techniques (TDD, pair programming) Infrastructure-as-code More ❯

database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): * Lambda function development with proper event handling and response formatting * S3 operations including multipart uploads, presigned URLs, and event notifications * CloudWatch logging and metrics for monitoring and debugging * Understanding of IAM and security for role-based access and credential management More ❯

database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): * Lambda function development with proper event handling and response formatting * S3 operations including multipart uploads, presigned URLs, and event notifications * CloudWatch logging and metrics for monitoring and debugging * Understanding of IAM and security for role-based access and credential management More ❯

CD experience Hands-on expertise with the AWS Serverless Stack (Lambda, API Gateway) Experience with AWS Security Services (IAM, Security Hub, Inspector, Secrets Manager, KMS, etc.) Broader AWS knowledge: S3, VPC, EC2, Cognito AWS CDK or Pulumi TypeScript skills Monitoring experience with Datadog Cost monitoring expertise Solid grounding in TDD Experience handling merge queues and ephemeral environments Software engineering More ❯

CD experience Hands-on expertise with the AWS Serverless Stack (Lambda, API Gateway) Experience with AWS Security Services (IAM, Security Hub, Inspector, Secrets Manager, KMS, etc.) Broader AWS knowledge: S3, VPC, EC2, Cognito AWS CDK or Pulumi TypeScript skills Monitoring experience with Datadog Cost monitoring expertise Solid grounding in TDD Experience handling merge queues and ephemeral environments Software engineering More ❯

troubleshoot,andoptimisehybridsystems,networks,andapplications Collaboratewithsecurity,development,andoperationsteamstoembedDevSecOpsbestpractices Participateinincidentresponseandrootcauseanalysis Documentinfrastructure,processes,andtopologies RequiredSkillsandExperience Hands-onexpertisewithF5loadbalancers StrongexperiencewithPaloAltoNetworksandCheckPointfirewalls KnowledgeofZscaler(preferred) Strongunderstandingofnetworkingprotocols(TCP/IP,DNS,SSL/TLS,routing) ProficiencywithAWSservicesincludingEC2,ELB,VPC,S3,CloudWatch,IAM,etc. ExperiencewithDevOpstools:Git,Jenkins,Docker,Ansible,Terraform Strongscriptingskills(Bash,Python,orsimilar) Backgroundinmanagingproductionsystemswithinregulatedorhigh-availabilityenvironments Experiencementoringandsupportingjuniorengineers More ❯

with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK , and modern DevOps practices. Collaborate on infrastructure and data pipelines using SQLAlchemy, Boto3, Pandas, and Airflow . Contribute to real-time AI services , model More ❯

LLMs , Object Detection , and OCR Leveraging frameworks like Hugging Face Transformers , PyTorch , YOLO , OpenCV , and Pillow Designing and deploying AI services via FastAPI , AWS Lambda , EKS/ECS , and S3 Creating scalable data pipelines with Pandas , NumPy , SQLAlchemy , and Airflow Supporting real-time model inference, edge deployments, and API integrations Working closely with a technical lead in a service More ❯

skills, particularly with Postgres JSON/JSONB operators and functions Experience in data analysis and reconciliation, ideally with an ETL background Highly Desirable Skills: Basic understanding of AWS services (S3, QuickSight, Glue) Experience with JSON/Parquet validation and familiarity with JSON/Avro schemas Proficiency in using Postman Familiarity with PowerShell If this is the role for you More ❯

implementation LLM fine tuning Machine Learning & AI Libraries including: Transformers/Hugging Face Python expertise with an understanding of object-oriented programming Pandas, PyTorch, Numpy SQLAlchemy, Boto3 AWS - Lambda, S3, CDK API Development Design and implementation of AI/ML solutions Excellent communicator Strong stakeholder management Keen collaborator The above is not exhaustive. For further information on this opportunity More ❯

This role is ideal for someone with strong experience in data migration, ETL (both batch and real-time), and data warehouse development. What you'll need: DataStage Redshift QuickSight S3 Java SQL Relational databases GitHub/lab experience Experience with DevSecOps and building scalable data platforms Nice to have: Data quality expertise XML knowledge AWS Data Speciality certification Reasonable More ❯

on AWS using serverless technologies such as Lambda, Glue, Glue Data Catalog, EMR serverless, and API Gateway. Implement and manage large-scale data processing with Spark (Iceberg tables in S3, Gold layer in Aurora Postgres). Collaborate with data scientists, analysts, and stakeholders to ensure data availability, accessibility, and reliability. Design and maintain robust data models that align with … Proven experience with relational databases (Aurora Postgres preferred), including performance optimisation. Extensive AWS experience, particularly with serverless data engineering tools (Lambda, Glue, Glue Data Catalog, EMR serverless, API Gateway, S3). Solid Spark experience with large-scale data pipelines and data lakehouse architectures (Iceberg format a plus). Hands-on experience with data modelling and designing scalable data architectures. More ❯

and integrity of data migration. • Utilise strong SQL skills to manage data effectively, particularly with Postgres JSON/JSONB operators and functions. • Work with various AWS services such as S3, QuickSight, and Glue to manage and analyse data. • Validate data formats using JSON/Parquet and ensure compatibility with JSON/Avro schemas. • Use tools like Postman for API … in data analysis and reconciliation, ideally with an ETL background. • Must already hold SC clearance as part of the application process. Highly Desirable Skills: • Basic understanding of AWS services (S3, QuickSight, Glue). • Experience with JSON/Parquet validation and familiarity with JSON/Avro schemas. • Proficiency in using Postman. • Familiarity with PowerShell. More ❯

secure APIs with AWS API Gateway, applying mTLS, certificate-based authentication, and Azure AD integration. UI & SPA Hosting: Host and optimise Single Page Applications (SPAs) such as Angular using S3 and CloudFront for global delivery, ensuring security and performance. Governance & Compliance: Produce high-level architecture documents, model integrations in LeanIX, and embed GDPR and data governance principles into solution … in the AWS Well-Architected Framework. Advanced knowledge of AWS services including API Gateway, CloudFront, WAF, VPC, Lambda, EKS, Fargate, and S3. Proven experience hosting SPAs (e.g., Angular) on S3 + CloudFront. Expertise in API security (mTLS, certificate-based authentication, Azure AD integration). Demonstrable experience producing HRB documentation, DPIAs, and data governance artefacts. Strong focus on GDPR compliance More ❯