City of London, Greater London, UK Hybrid / WFH Options
Areti Group | B Corp
. Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move Mission & impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal More ❯
. Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal More ❯
City of London, Greater London, UK Hybrid / WFH Options
Areti Group | B Corp™
. Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal More ❯
. Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal More ❯
engagement skills. Ability to work in ambiguous, fast-moving environments with minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as AmazonBedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy, compliance, and More ❯
OWASP Top 10 and a proactive approach to identifying and mitigating security vulnerabilities during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent communication and collaboration skills to More ❯
world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector More ❯
City of London, London, United Kingdom Hybrid / WFH Options
EMBS Technology
world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector More ❯
City of London, Greater London, UK Hybrid / WFH Options
EMBS Technology
world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector More ❯
reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , AmazonBedrock , and Google Vertex AI . Work with vector databases and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model More ❯
City of London, Greater London, UK Hybrid / WFH Options
Amber Labs
reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , AmazonBedrock , and Google Vertex AI . Work with vector databases and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model More ❯
reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , AmazonBedrock , and Google Vertex AI . Work with vector databases and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model More ❯
City of London, Greater London, UK Hybrid / WFH Options
Amber Labs
reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , AmazonBedrock , and Google Vertex AI . Work with vector databases and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Amber Labs
reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , AmazonBedrock , and Google Vertex AI . Work with vector databases and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model More ❯
Large Language Models via API or in a local context (e.g. HuggingFace transformers). Practical experience using managed AI services and foundation models from a major cloud provider (e.g., AmazonBedrock, Google Vertex AI, Azure AI Services). Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of More ❯
Large Language Models via API or in a local context (e.g. HuggingFace transformers). Practical experience using managed AI services and foundation models from a major cloud provider (e.g., AmazonBedrock, Google Vertex AI, Azure AI Services). Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of 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 ❯
and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React More ❯
Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset - able to bridge More ❯
Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset - able to bridge More ❯
Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge More ❯
Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge More ❯
Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge More ❯
Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge More ❯
and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What Were Looking For 5+ years experience in software or backend More ❯
