City of London, London, United Kingdom Hybrid / WFH Options
Staffworx
agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker , Bedrock or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and More ❯
agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker , Bedrock or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Staffworx
agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker , Bedrock or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and More ❯
Senior Consultant - AI/ML and Generative AI, Professional Services GCC 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 … mentoring junior team members, and guiding them on creating end to end AI solutions PREFERRED QUALIFICATIONS AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred Experience with automation and scripting (e.g. … continuous training, small language model development, and implementation of Agentic AI systems Experience in creating strategy, roadmap, developing and deploying end-to-end machine learning and deep learning solutions Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity More ❯
Sr. Delivery Consultant - AI/ML and Generative AI, Professional Services GCC Job ID: AWS ProServe IN - Maharashtra 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 … 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 … analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred - Experience with automation and scripting (e.g. More ❯
Consultant - AI/ML and Generative AI, Professional Services GCC 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. … principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred Experience with automation and scripting (e.g. More ❯
AI & ML Leadership: Lead development of our Python-based AI orchestration application deployed via containerised services with python engineers and your seld Manage our multi-modal LLM strategy including AmazonBedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks … technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Full-stack development across modern web technologies Containerisation (Docker) and orchestration platforms (Kubernetes More ❯
Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. More ❯
City of London, London, Finsbury Square, United Kingdom
The Portfolio Group
Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. More ❯
e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Cloud platform experience, especially from an ML standpoint (AWS preferred) Statistical testing experience Experience with AWS Bedrock Experience with C# Containerization via Docker. Awareness of basic data science and generative AI methods. Exposure to generative AI application frameworks like LangChain, LlamaIndex, SmolAgents and griptape. What's More ❯
of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. At ProServe we … degree in computer science, or related technical, math, or scientific field - Strong working knowledge of deep learning, machine learning and statistics - Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2 - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training - Strong communication … skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts 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 More ❯
a trajectory to success? Are you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's best for the customer and … also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate, experienced consultants to help our citizens and the community benefit from the AI revolution. Candidates … guide customers deconstruct ambiguity. Responsibilities include: Expertise: Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, software design and operations in hybrid environments as well as complex projects at scale. Solutions: Demonstrated consulting skills, ideally through previous 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 … 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 AmazonBedrock and Amazon SageMaker - Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts - Scientific thinking and the More ❯
Delivery Practice Manager - Data Analytics, ASEAN Professional Services 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 of ProServe Delivery Consultants while supporting AWS enterprise customers through transformative projects. … 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 ❯
understanding of cloud environments (ideally AWS) Proven team leadership and mentoring capabilities Excellent communicator with strong stakeholder influence skills Nice-to-Haves Experience with AWS AI ecosystem (e.g. SageMaker, Bedrock, Lambda) Knowledge of low/no-code GenAI platforms Background in platform or DevOps for AI systems Awareness of ethical AI principles and governance frameworks Why This Role? This 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 ❯
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 ❯
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 AmazonBedrock 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 ❯
