london, south east england, united kingdom Hybrid / WFH Options
OTA Recruitment
collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
OTA Recruitment
collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to More ❯
slough, south east england, united kingdom Hybrid / WFH Options
OTA Recruitment
collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to More ❯
additional technologies (listed below) is advantageous: Kotlin Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3) Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned More ❯
suppliers, consultants. Knowledge and Skills: Knowledge - Broad data management technical knowledge so as to be able to work across full data cycle. - Proven Experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake formation, Cloud Formation), GitHub, CI/CD - Coding experience in Apache Spark, Iceberg or Python (Pandas) - Experience in change and release management. - Experience in Database … Essentials: - Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: - Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB - Good experience with DBT, Apache Iceberg, Docker, Microsoft BI stack (nice More ❯
Mercurial, Perforce) Containerize applications using Docker and manage container orchestration platforms like Kubernetes (EKS) or AWS ECS or Argo CD Preferred qualifications AWS experience with proficiency across services (EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred Experience with automation and scripting (e.g., Terraform, Python) and knowledge of security … Ability to conduct technical workshops, training sessions, knowledge-sharing initiatives, and contribute to technical articles or open source projects; provide guidance and mentorship to teams, partners, and customers Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We … and hiring process, please visit our accommodations information for more details. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯
computing solutions and solve the most complex technical problems? Are you excited by the prospect of helping to build and run the world's largest cloud computing infrastructure? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. … exceptionally motivated people who are driven by learning and innovation. AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's SimpleStorageService (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a … be surrounded by people who are passionate about cloud computing, believe that first class service is critical to customer success, and are committed to improvement. Key job responsibilities Amazon has a collaborative, purposeful and enthusiastic environment where we "Work Hard, Have Fun, Make History." On a typical day engineers might deep dive to root cause a customer issue More ❯
Senior Software Engineer-AI, Annapurna Labs AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's SimpleStorageService (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC … organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Be part of an elite team developing cutting-edge AI infrastructure automation solutions supporting … be at the forefront of both AI innovation and infrastructure automation, working on technologies that will power the next generation of cloud computing! About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career More ❯
Points Experience in data-heavy creative or media industries Passion for the arts Familiarity with structured metadata standards (e.g., DDEX ERN or RDR) Experience with PostgreSQL , AWS RDS , and S3 Perks & Benefits 25 days holiday , plus bank holidays and a Christmas office closure 6% employer pension contribution (min. 3% employee) Access to ClassPass , Headspace , and regular creative perks Industry More ❯
Fluency in AI development tools We would love to see: Experience with big data ecosystems (Kafka, Spark, Flink, Cassandra, Redis, Airflow) Familiarity with cloud platforms (AWS, Azure, GCP) and S3-compatible storage SaaS/PaaS development experience Container technologies (Docker, Kubernetes) Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus The referenced salary range is based on the 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 ❯
becoming an expert BS degree in Computer Science or meaningful relevant work experience Preferred Qualifications Experience with large scale data platform infrastructure such as Spark, Flink, HDFS, AWS/S3, Parquet, Kubernetes is a plus More ❯
data validation using DVT, and data quality frameworks Database Technologies : Advanced expertise in PostgreSQL and Databricks or Snowflake for data warehousing and analytics AWS Cloud Platform : Expert proficiency in S3, Glue, Lambda, data lake implementation, and cloud infrastructure management Insurance Domain Knowledge P&C Insurance Operations : Deep understanding of policy administration, claims processing, underwriting, and rating systems Actuarial Understanding More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Client Server
solution design experience with a focus on data projects You have experience of establishing data analytics and supporting AI solutions You have a good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions) You have advanced client and stakeholder management skills What's in More ❯
JSON, and PL-SQL. Proficient in Qlik and Tableau report/dashboard development. Strong ability to interpret data requirements and produce actionable visualizations. Additional Information: Preferred: experience with AWS S3, delta, and external tables. Skilled in developing/implementing pipelines using Databricks, Python, Spark, Scala, JavaScript/JSON, and PL-SQL. Detail-oriented, delivering high-quality results with minimal More ❯
such as tools such as MATLAB, SAS, and InfoSphere • Experience with a combination of database tools and cloud components supporting ETL, such as: SQL, mySQL, and Data Lakes, AWS S3, IBM Cloud, and/or Microsoft Azure Data Explorer . • Experience working with data in a variety of structured and unstructured formats. • Experience with data visualization tools, computing platforms More ❯
Advanced weather-intelligence and autonomy features Our Tech Stack Backend: Go C++ (Either or both - will allow upskill) Frontend: React + Next.js Databases: PostgreSQL, MongoDB, Redis, Clickhouse Cloud: AWS (S3), Railway Messaging: MQTT, Kafka Pay range and compensation package up to £75,000 with equity options and other benefits The role is mainly remote but will need to be More ❯
building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines. • Demonstrated professional or academic experience using Python to query and retrieve imagery from S3 compliant API's perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy. • Demonstrated professional or academic experience with deep learning frameworks More ❯
support decisions across multiple business areas, including marketing, sales, claims, retention, customer behavior, fraud detection, and customer servicing. Deploy machine learning models into production using AWS services, including SageMaker, S3, Feature Store, ensuring scalable, reliable, and monitored solutions that directly support key business processes. Collaborate with product management and engineering teams to integrate data-driven insights and deploy predictive More ❯
monorepo with Turbo, pnpm, changesets, and storybook, primarily using Vue.js Adoption of TypeScript, NestJS, BullMQ, and Prisma for backends in an opinionated monorepo approach Amazon RDS, DynamoDB, S3 Container orchestration with Kubernetes and CI/CD using GitLab Infrastructure provisioning on AWS using Terraform Leveraging the serverless framework on AWS Lambda for high-throughput endpoints Team More ❯
Role Responsibilities: Provide optimization and automation across multiple platforms and applications. Drive consistency for deployment and build processes. Utilize modern tools like Jenkins, Docker, Kubernetes, Amazon Web Services, Ansible, Terraform, Python, Windows, Linux, and much more. You have worked with teams before on large and demonstrable projects (preferably built on with AWS and familiarity with scripting languages such … to large size teams. Focus on understanding customers' needs and translating those needs from product specifications into functional, production ready code and infrastructure. The following skills are required: AWS (S3, VPCs & Networking, EC2, ECS/EKS). Containerization (Docker, k8s, Registries). IaC (Terraform/Cloud Formation). CI/CD (Jenkins/GitHub Actions). You are self More ❯
Competent Java developer with significant experience in AWS cloud services. Proficient in AngularJS, Jenkins, Karate, Gherkin and Cypress, Cloudformation, Jenkins, Groovy and deploying to native AWS services like ECS, S3, Lambda, SQS, Step Functions. Certification: Expected to have AWS Certified DevOps Engineer Professional accreditation or above Responsibilities: Write clean, secure code using test-driven approach. Create reusable and open … Provide Level 3 (L3) support 24/7 (including out of hour on-call support) Requirements: Experience with Java (Springboot) and AWS cloud services (ECR, ECS, Lambda, API Gateway, S3, DynamoDB, Step Functions, Apigee) Proficiency in AngularJS, Jenkins, Karate, Node 10, Groovy, Bash, Typescript. Knowledge of Gherkin, Cypress, Jest Tooling: Gitlab, Jenkins, CloudFormation, Maven, Docker, Fortify on Demand, SonarQube More ❯
role with a leading UK consultancy supporting national security and defence cloud platforms. Core Responsibilities AWS Infrastructure Engineering Build and operate secure AWS environments including VPC, EC2, IAM, Lambda, S3 and RDS to meet stringent compliance and performance requirements Infrastructure as Code and Automation Streamline deployments using Terraform, CloudFormation, Ansible and build automation scripts in Python or Bash for … DV Clearance: Active Developed Vetting clearance is mandatory due to the nature of the environment. AWS Cloud Experience: Proven record deploying and managing AWS services such as VPC, EC2, S3, RDS, Lambda, IAM, CloudWatch, etc., ideally in high-assurance or government contexts. IaC & Automation: Hands-on with Terraform, Ansible, CloudFormation or equivalent, and Scripting skills in Python, Bash or More ❯
role with a leading UK consultancy supporting national security and defence cloud platforms. Core Responsibilities AWS Infrastructure Engineering Build and operate secure AWS environments including VPC, EC2, IAM, Lambda, S3 and RDS to meet stringent compliance and performance requirements Infrastructure as Code and Automation Streamline deployments using Terraform, CloudFormation, Ansible and build automation scripts in Python or Bash for … DV Clearance: Active Developed Vetting clearance is mandatory due to the nature of the environment. AWS Cloud Experience: Proven record deploying and managing AWS services such as VPC, EC2, S3, RDS, Lambda, IAM, CloudWatch, etc., ideally in high-assurance or government contexts. IaC & Automation: Hands-on with Terraform, Ansible, CloudFormation or equivalent, and scripting skills in Python, Bash or More ❯
