of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. Passionate about code quality, adhering to best practices for code quality, performance, testing, monitoring, documentation, CI/CD. Experience working More ❯
embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong 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 ❯
Delivery Consultant - AI/ML and Generative AI, Professional Services GCC Job ID: 2944592 | 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 ❯
Delivery 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 … 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 ❯
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 ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
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 ❯
An understanding of AI, and AI ethics An understanding of data safety in the use of Large Language Models Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python Other Requirements SC cleared or 5 years uninterrupted residency in the UK and be prepared to go More ❯
AI implementation that haven't been tried before. Challenge conventional wisdom about what's possible with current AI technologies. Required Skills & Experience: Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS ) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML). Experience with designing, building and operating production grade generative AI More ❯
embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
Fitch Solutions
multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelor’s degree (master’s or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related More ❯
cloud environments. Generative AI Ecosystem Knowledge : Deep understanding of the generative AI ecosystem, including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning). Data Expertise : Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and More ❯
Job Description Join our team as a Vice President in our Applied AI ML function to advance AI in financial services and optimise business decisions. As a Vice President Applied AI ML Scientist/Engineer in the Applied AI ML 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 ❯
architectures using AWS Lambda for AI inference, and cost optimization leveraging AWS Compute Optimizer, Cost Explorer, and Reserved Instances. Experience with CI/CD pipeline implementation, advanced monitoring with Amazon CloudWatch, efficient log management, infrastructure automation using Terraform, and expertise with Amazon SageMaker and AmazonBedrock is essential. Familiarity with AWS AI services, AWS data services More ❯
Fluency with CI/CD pipelines, preferably Github Actions. DevOps and deployment orchestrators, preferably Kubernetes. Deep expertise with Docker-based development environments and deployments. Proficiency in MS Azure and Amazon AWS, and especially their AI offerings (Azure OpenAI and Bedrock). Familiarity with Terraform and/or cloud agnostic IaC. Experience with Google Cloud, Vector Databases, Semantic Search More ❯
Fluency with CI/CD pipelines, preferably Github Actions. DevOps and deployment orchestrators, preferably Kubernetes. Deep expertise with Docker-based development environments and deployments. Proficiency in MS Azure and Amazon AWS, and especially their AI offerings (Azure OpenAI and Bedrock). Familiarity with Terraform and/or cloud agnostic IaC. Experience with Google Cloud, Vector Databases, Semantic Search More ❯
AWS Technical Lead Job Description The AWS Technical Lead will bring a wealth of experience in cloud computing, particularly with Amazon Web Services (AWS), to guide the technical direction of our AWS projects. This role demands collaboration with development and operations teams to ensure the successful execution of cloud-based solutions. The AWS Technical Lead will engage with cross … Jira & Confluence. Experience working on Migration/Modernisation projects. Understanding of networking concepts and protocols. Experience with multi-cloud environments. Exposure to AI/ML and Generative AI/Amazon Bedrock. AWS Certified Solutions Architect - Associate/Professional (Must). Work Environment The work environment is collaborative and fast-paced, with a focus on utilising the latest technologies and 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 ❯
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 ❯
