126 to 150 of 329 Elasticsearch Jobs in the UK

live video pipelines: ingest encoding packaging delivery Build and consume APIs for live media services (AWS MediaLive/MediaConnect, Azure Media Services, Wowza, etc.) Implement and configure search engines (Elasticsearch, Solr, OpenSearch, or vendor-native). Implement API-driven integrations with third-party systems (e.g., Adobe, Avid, broadcast systems, DAMs, cloud storage). Configure user access, metadata schemas, and More ❯

live video pipelines: ingest → encoding → packaging → delivery Build and consume APIs for live media services (AWS MediaLive/MediaConnect, Azure Media Services, Wowza, etc.) Implement and configure search engines (Elasticsearch, Solr, OpenSearch, or vendor-native). Implement API-driven integrations with third-party systems (e.g., Adobe, Avid, broadcast systems, DAMs, cloud storage). Configure user access, metadata schemas, and More ❯

live video pipelines: ingest → encoding → packaging → delivery Build and consume APIs for live media services (AWS MediaLive/MediaConnect, Azure Media Services, Wowza, etc.) Implement and configure search engines (Elasticsearch, Solr, OpenSearch, or vendor-native). Implement API-driven integrations with third-party systems (e.g., Adobe, Avid, broadcast systems, DAMs, cloud storage). Configure user access, metadata schemas, and More ❯

live video pipelines: ingest → encoding → packaging → delivery Build and consume APIs for live media services (AWS MediaLive/MediaConnect, Azure Media Services, Wowza, etc.) Implement and configure search engines (Elasticsearch, Solr, OpenSearch, or vendor-native). Implement API-driven integrations with third-party systems (e.g., Adobe, Avid, broadcast systems, DAMs, cloud storage). Configure user access, metadata schemas, and More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

tests, CI/CD & iteratively delivering value. Knowledge of security, privacy, and compliance best practices for multi-tenant SaaS and AI workloads. Familiarity with Vector databases, ideally Opensearch/Elasticsearch Familiarity with GraphRag or experience building knowledge graphs Familiarity with the latest Generative AI developments such as LLM architectures, fine-tuning strategies, Agentic workflows Experience in observability tooling for More ❯

or a related field. ● Minimum of 5 years of software engineering experience, with a strong focus on Go (Golang). ● Hands-on experience with one of these tools: Cassandra, Elasticsearch or Cockroach DB. ● Proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration tools such as Kubernetes. ● Solid understanding of distributed systems and microservices architecture. ● Excellent problem-solving More ❯

or a related field. ● Minimum of 5 years of software engineering experience, with a strong focus on Go (Golang). ● Hands-on experience with one of these tools: Cassandra, Elasticsearch or Cockroach DB. ● Proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration tools such as Kubernetes. ● Solid understanding of distributed systems and microservices architecture. ● Excellent problem-solving More ❯

or a related field. ● Minimum of 5 years of software engineering experience, with a strong focus on Go (Golang). ● Hands-on experience with one of these tools: Cassandra, Elasticsearch or Cockroach DB. ● Proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration tools such as Kubernetes. ● Solid understanding of distributed systems and microservices architecture. ● Excellent problem-solving More ❯

or a related field. ● Minimum of 5 years of software engineering experience, with a strong focus on Go (Golang). ● Hands-on experience with one of these tools: Cassandra, Elasticsearch or Cockroach DB. ● Proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration tools such as Kubernetes. ● Solid understanding of distributed systems and microservices architecture. ● Excellent problem-solving More ❯

development and architecting solutions. Demonstrated expertise in scaling and managing production systems. Provides comprehensive technical development support, both broad and detailed. Highly proficient in: Python, Java, Spring, JavaScript, Vue, Elasticsearch, PostgreSQL, cloud computing (AWS, Azure), Terraform, ML, GitHub Actions, Jenkins, and Linux. Responsibilities: Own the technical roadmap , aligning it with the product strategy to achieve key business objectives. Architect More ❯

development and architecting solutions. Demonstrated expertise in scaling and managing production systems. Provides comprehensive technical development support, both broad and detailed. Highly proficient in: Python, Java, Spring, JavaScript, Vue, Elasticsearch, PostgreSQL, cloud computing (AWS, Azure), Terraform, ML, GitHub Actions, Jenkins, and Linux. Responsibilities: Own the technical roadmap , aligning it with the product strategy to achieve key business objectives. Architect More ❯