26 to 50 of 79 Amazon Bedrock Jobs in the UK

understanding of cloud-native architectures (AWS preferred). Experience leading technical teams and mentoring engineers. Excellent stakeholder management and communication skills. Preferred Qualifications: Familiarity with AWS AI services (e.g. Bedrock, SageMaker, Lambda, Step Functions). Experience with low/no-code GenAI tools. Background in API design, platform development, or DevOps for AI systems. Exposure to ethical AI and More ❯

Delivery Practice Manager - Data Analytics, ASEAN Professional Services, ASEAN Professional Services Job ID: PT Amazon Web Services Indonesia - E41 The Amazon Web Services Professional Services (ProServe) team is seeking an experienced Delivery Practice Manager (DPM) to join our ProServe Shared Delivery Team (SDT) at Amazon Web Services (AWS). In this role, you'll manage a team … to address customer outcomes. Possessing the ability to translate technical concepts into business value for customers and then talk in technical depth with teams, you will cultivate strong customer, Amazon Global Sales (AGS), and ProServe team relationships which enables exceptional business performance. DPMs success is primarily measured by consistently delivering customer engagements by supporting sales through scoping technical requirements … 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 ❯

and learn quickly in a fast-paced but supported environment. Bonus Points: Experience in the life sciences sector, specifically within clinical trial design or related function. Experience with AWS Bedrock, AWS OpenSearch and or Azure ML Studio, Azure AI Foundry. Experience with Serverless Architectures in Azure/AWS/GCP. Experience with open-source LLMs or Small Language Models More ❯

and learn quickly in a fast-paced but supported environment. Bonus Points: Experience in the life sciences sector, specifically within clinical trial design or related function. Experience with AWS Bedrock, AWS OpenSearch and or Azure ML Studio, Azure AI Foundry. Experience with Serverless Architectures in Azure/AWS/GCP. Experience with open-source LLMs or Small Language Models More ❯

and learn quickly in a fast-paced but supported environment. Bonus Points: Experience in the life sciences sector, specifically within clinical trial design or related function. Experience with AWS Bedrock, AWS OpenSearch and or Azure ML Studio, Azure AI Foundry. Experience with Serverless Architectures in Azure/AWS/GCP. Experience with open-source LLMs or Small Language Models More ❯

management and organizational skills Preferred Qualifications: Generating Echo handlers and models from OAS using oapi-codegen Launch Darkly Feature Flagging Docker AWS Cloud Services including EKS and RDS AWS Bedrock Knowledgebases and Agents AWS Sagemaker Generative AI Prompt Engineering Additional Information About QAD: QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global More ❯

support and development to succeed. A progressive organisation where you can really make a difference. We a great opportunity for a Data Scientist. You will have solid experience of Bedrock, Sagemaker, Python and Pandas. Key Responsibilities: * Working experience LLMs under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding skills using libraries like pandas … Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR Use-Case Development: Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging … actionable insights. Stakeholder Collaboration: Effective communication with technical and non-technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). More ❯

support and development to succeed. A progressive organisation where you can really make a difference. We a great opportunity for a Data Scientist. You will have solid experience of Bedrock, Sagemaker, Python and Pandas. Key Responsibilities: * Working experience LLMs under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding skills using libraries like pandas … Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR Use-Case Development: Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging … actionable insights. Stakeholder Collaboration: Effective communication with technical and non-technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). More ❯

on OCR use-cases and LLM applications within AWS environments. Key Responsibilities: - AWS Data Science Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and … GDPR), PII handling. - Agile Working: Experience in Agile/Scrum teams (Jira, Azure DevOps). Essential Skills & Experience: - 5-7 years in a Data Science role - Strong experience with Amazon Bedrock and SageMaker - Python integration with APIs (e.g., ChatGPT) - Demonstrable experience with LLMs in AWS - Proven delivery of OCR and document parsing pipelines More ❯

execute automated test suites. Experience working on AI/LLM projects such as testing model accuracy, correctness, completeness, and performance is a plus. Experience with Azure OpenAI Service, AWS Bedrock, and/or AWS Sagemaker is a plus. Experience in software QA methodologies, tools and processes. Experience in mapping test strategies to requirements, creating detailed test cases and test … with agile software development methodologies such as Scrum or Kanban. Familiarity and/or experience with Microsoft Office, Postman, Jira, Confluence, Bitbucket, Git, TeamCity, Octopus Deploy, Microsoft Azure, and Amazon AWS. Someone who isn't afraid of responsibility, loves learning and sharing, and a down-to-earth personality. Software certifications are a bonus. About Definely At Definely, we're More ❯

Customize and optimize pre-trained AI models to meet industry-specific requirements. Cloud-Based AI Services: Develop and deploy AI solutions using cloud platforms, with a focus on AWS Bedrock and Azure OpenAI. Model Optimization: Enhance AI models for superior performance, accuracy, and real-world applicability. Hallucination Reduction: Apply advanced techniques to reduce AI hallucination and improve model reliability … in AI/ML development. Programming Skills: Proficiency in Python and frameworks like TensorFlow, PyTorch, or Keras. Cloud Expertise: Demonstrated experience with cloud-based AI platforms such as AWS Bedrock and Azure OpenAI. Vector Database Knowledge: Familiarity with vector databases and techniques for similarity search. AI/ML Expertise: Comprehensive understanding of AI/ML algorithms, architectures, and best More ❯

Customize and optimize pre-trained AI models to meet industry-specific requirements. Cloud-Based AI Services: Develop and deploy AI solutions using cloud platforms, with a focus on AWS Bedrock and Azure OpenAI. Model Optimization: Enhance AI models for superior performance, accuracy, and real-world applicability. Hallucination Reduction: Apply advanced techniques to reduce AI hallucination and improve model reliability … in AI/ML development. Programming Skills: Proficiency in Python and frameworks like TensorFlow, PyTorch, or Keras. Cloud Expertise: Demonstrated experience with cloud-based AI platforms such as AWS Bedrock and Azure OpenAI. Vector Database Knowledge: Familiarity with vector databases and techniques for similarity search. AI/ML Expertise: Comprehensive understanding of AI/ML algorithms, architectures, and best More ❯

Senior Software Development Engineer - GenAI, Amazon Ads - Creative X Job ID: Amazon Development Centre (Scotland) Limited - A64 How can Amazon improve the advertising experience for customers around the world? How can we help advertisers and customers find each other in a meaningful way? Amazon Ads creates and transforms the connection between retailers/service providers and … through technology, scale and automation. If you are passionate about developing analytical solutions to solve business problems and are looking for a team that drives results to help influence Amazon business decisions, this is the right place for you. Our team is looking for a Senior Software Engineer who can help us to build the next generation of AI … excited to work directly with AI researchers and scientists to transform novel research into production systems. You have experience or are interested in learning about the use of AWS Bedrock, SageMaker, and custom MLOps tools You deliver quickly and incrementally. You may not have the perfect solution out of the gate, but you iterate based on what you've More ❯

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 … and orchestration approaches - Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation - Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools - Experience building generative AI applications on … AWS using services such as Amazon Bedrock and Amazon SageMaker 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 value your passion to discover, invent, simplify and build. Protecting your privacy and the security of More ❯

/Azure. You will be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply below More ❯

/Azure. You will be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply below More ❯

/Azure. You will be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply below More ❯

/Azure. You will be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply below More ❯

/Azure. You will be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply below More ❯

.NET 7, Blazor WebAssembly Puma, Sidekiq, GitHub Actions, Postgres, Redis, New Relic AWS; ECS, RDS Postgres, DynamoDB, Redshift Serverless, CDK New Relic, Insight Hub AI Tools: Cursor, CoPilot, AWS Bedrock, AWS Transcribe, AWS SageMaker About You You are highly self motivated and can work independently or partner closely with other engineers on a project. You have proven experience on More ❯

Customer Success Builder, Amazon Q Customer Success Team (Q-CST) Job ID: AWS EMEA SARL (UK Branch) AWS is known for its relentless customer obsession. Our Professional Services teams are on the front line of helping customers succeed using AWS technologies that align with the new ways of managing people and rearchitecting critical processes to leverage the capabilities of … Gen AI. Amazon Q-CST Customer Success Team (CST) members leverage their deep knowledge of AWS data services and data analytics in collaboration with our sales and partner teams to propose, architect, and implement transformational solutions for customers. We make customer success a reality using AWS Gen AI services as an enabler. Q-CST Builders are responsible for architecting … and developing end-to-end solutions that leverage Generative AI technologies like Amazon Q and Bedrock. This role involves designing and implementing robust solution blueprints that seamlessly integrate Generative AI capabilities into existing systems or applications. Builders collaborate closely with Strategists and customer stakeholders to understand their requirements, translates them into technical specifications, and develops scalable and secure Generative More ❯

based architectures, to push the boundaries of natural speech generation. Your work will span areas such as prosody modeling, speech style transfer, multilingual synthesis, and controllable voice cloning, leveraging Amazon's vast compute infrastructure and rich multimodal datasets. You will be responsible for designing and experimenting with novel speech generation systems that combine text, phonetics, and audio to produce … other applied scientists, engineers, and product managers to translate research into customer-facing capabilities. You'll also partner with teams across AWS AI/ML, including those working on Bedrock, Alexa, and Amazon Connect, to ensure Polly's speech technology integrates seamlessly into broader generative AI experiences. As a scientific leader, you will regularly communicate your findings through … to distill complex models and experiments into actionable insights will influence the direction of both product development and future research initiatives at Amazon. About the team AWS Polly is Amazon's cloud-based text-to-speech service. We deliver lifelike voices and scalable APIs to customers around the world. The Polly science team builds next-generation speech generation models More ❯

are helping one of the highest regarded AWS Consultancies in the UK look for multiple AWS Architects/AWS Engineers to help deliver on cutting edge Gen.AI projects utilsing Bedrock/Sagemaker. If you have a perfect blend between Cloud Architecture and hands-on coding with Terraform/Kubernetes/Serverless, with some Object Oriented programming skills we want More ❯

are helping one of the highest regarded AWS Consultancies in the UK look for multiple AWS Architects/AWS Engineers to help deliver on cutting edge Gen.AI projects utilsing Bedrock/Sagemaker. If you have a perfect blend between Cloud Architecture and hands-on coding with Terraform/Kubernetes/Serverless, with some Object Oriented programming skills we want More ❯

performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit More ❯