Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Cloud Architect with GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver consulting engagements? Do you like to solve … Vetting Agency clearance (see ). Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions More ❯
Overview The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer … robust and scalable AI solutions for business problems Interact with customers directly to understand the business problem, assist in the implementation of their ML ecosystem Leverage Foundation Models on AmazonBedrock and Amazon SageMaker to meet performance needs Analyze large historical data to automate and optimize key processes Communicate clearly with attention to detail, translating rigorous mathematical … CV, GNN, or distributed training Ability to create compelling customer proposals and present to executives; proficient English communication in technical and business settings Preferred Qualifications Experience with AWS services (Amazon SageMaker, AmazonBedrock, EMR, S3, EC2); AWS Certification (Solutions Architect Associate, ML Engineer Associate) preferred Knowledge of AI/ML, generative AI; hands-on prompt engineering and More ❯
Delivery Consultant - AI/ML, Professional Services Job ID: AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical … solutions for business problems Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem Effectively use Foundation Models available on AmazonBedrock and Amazon SageMaker to meet our customer's performance needs Analyze and extract relevant information from large amounts of historical data to help automate and optimize … candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯
Reading, Berkshire, United Kingdom Hybrid / WFH Options
Deloitte LLP
insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Deloitte LLP
insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯
Milton Keynes, Buckinghamshire, United Kingdom Hybrid / WFH Options
Deloitte LLP
insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯
Guildford, Surrey, United Kingdom Hybrid / WFH Options
Deloitte LLP
insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯
sensitive data securely and in compliance with data governance and privacy standards. Desirable Experience Experience working in regulated or public-sector environments. Familiarity with Azure OpenAI, Vertex AI, or Amazon Bedrock. Lightweight fine-tuning (e.g., LoRA). Front-end development skills for internal tooling. More ❯
software engineering teams. Extensive experience in large scale machine learning, including building, deploying, scaling and securing ML infrastructure in cloud-native environments. Strong experience with AWS services including SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, DynamoDB, Kafka, CloudFormation and associated technologies such as Python. Proven ability to drive cross functional technical initiatives and deliver results through More ❯
deployment. Work with cutting-edge ML technologies while ensuring scalable production systems for our global client base. WHAT YOU'LL DO ✅ Deploy ML models as microservices using AWS (SageMaker, Bedrock, Glue) ✅ Build secure APIs with Apigee for enterprise AI access ✅ Manage complete MLOps lifecycle: training → monitoring → drift detection ✅ Develop CI/CD pipelines and mentor client teams ✅ Work directly More ❯
functional delivery teams Lead junior engineers within project pods Key Details Working model : Hybrid (3 days/week in central London) Tech stack : Python, Docker, AWS (Lambda, Step Functions, Bedrock), CI/CD, LLM APIs Desired Skills and Experience Python PyTorch AWS Docker CI/CD More ❯
functional delivery teams Lead junior engineers within project pods Key Details Working model : Hybrid (3 days/week in central London) Tech stack : Python, Docker, AWS (Lambda, Step Functions, Bedrock), CI/CD, LLM APIs Desired Skills and Experience Python PyTorch AWS Docker CI/CD More ❯
functional delivery teams Lead junior engineers within project pods Key Details Working model : Hybrid (3 days/week in central London) Tech stack : Python, Docker, AWS (Lambda, Step Functions, Bedrock), CI/CD, LLM APIs Desired Skills and Experience Python PyTorch AWS Docker CI/CD More ❯
Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation package Competitive salary and performance-based bonus. Opportunities for professional growth and career More ❯
Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation package Competitive salary and performance-based bonus. Opportunities for professional growth and career More ❯
Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation package Competitive salary and performance-based bonus. Opportunities for professional growth and career More ❯
Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation package Competitive salary and performance-based bonus. Opportunities for professional growth and career More ❯
