176 to 200 of 2,446 LLM Jobs in England

Contact Lens, Customer Profiles, Streams API, and the Connect data/analytics stack Hands-on experience with conversational and generative AI, Amazon Lex plus LLM-based development (Amazon Bedrock, Q in Connect, or equivalent), including prompt engineering and tool calling Strong TypeScript/Node.js and Python; production React experience; solid ...

Design, build and maintain data pipelines and workflows that keep data accurate, timely and trustworthy Deploy and support production ML systems (including forecasting and LLM-driven workflows) with monitoring, versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda) Write ...

specs into practical code and communicating trade-offs clearly in plain English. And to really stand out from the crowd Experience with AI gateways, LLM proxies, or model-routing patterns. Exposure to AI observability tools, vector databases (Databricks AI Search), RAG pipelines, or non-deterministic system monitoring. Hands-on experience ...

software development methodologies and data modeling principles. Deep expertise in Python and Java. Proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Experience with Kubernetes (EKS) and cloud-native architectures. Proven track record building scalable backend systems and APIs. Experience mentoring ...

real customer impact; you’ll take ownership of existing models and help define strong ML foundations in spaces that are still evolving, from LLM-powered automation to customer compensation logic. Here’s what your day-to-day might look like: Own the full ML lifecycle: Lead the design, development ...

Experience in data science, machine learning, or applied NLP Strong hands‐on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM‐based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging ...

Experience in data science, machine learning, or applied NLP Strong hands-on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM-based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging ...

with deep expertise in Python. You build scalable, production-ready code. Agentic AI Experience: Proven, hands‐on experience building multi‐agent workflows or complex LLM orchestration pipelines (e.g. LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen). Multimodal AI Knowledge: Experience working with Vision‐Language Models (VLMs) and an understanding ...

core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems. This role also carries production ownership: you will share on-call responsibility for the pipelines and platforms you build, and you're comfortable ...

Enfint ищет опытного backend‐инженера для проектов AI/ML и GenAI. Ваша задача — проектировать и строить надежные API на Python, интегрировать LLM с инструментами и данными и выносить решения в продакшн с учётом масштабируемости. Вы будете работать с Data Science, DevOps и инфраструктурой, наставлять коллег, развивать практики тестирования, мониторинга ...

with business stakeholders to understand their needs The following is DESIRABLE, not essential: Experience taking Agentic AI solutions into production AWS AWS Strands Agents, LLM, Pydantic AI, Bedrock, AgentCore, ADK, CrewAI, AutoGen LangChain and LangGraph Finance Role: Lead AI Labs Software Engineer (Programmer Software Engineer Developer Python Amazon Web Services ...

Monitor, Application Insights and Log Analytics. Bicep or ARM templates. AWS or other cloud platform experience. Cybersecurity or security engineering experience. Azure OpenAI/LLM integrations. Private Endpoints and advanced Azure networking. Experience working within regulated or financial services environments. Knowledge of cloud governance, security controls and DevSecOps practices. This ...

LangChain REST APIs Docker What we're looking for Commercial software engineering experience building modern web applications. Hands-on experience with Generative AI or LLM integrations. Strong product mindset with the ability to think about customer experience. Comfortable working across frontend and backend technologies. Someone who enjoys experimenting, iterating ...

Familiarity with infrastructure as code, for example CDK or Terraform. Exposure to observability tooling, incident response, or production monitoring practices. A broader understanding of LLM concepts such as tokens, embeddings, hallucinations, and safe use cases in software delivery. What’s in it for me? They’re offering a salary ...

Comfort working with SQL databases, Git, Docker‐based workflows, and modern CI/CD pipelines. Practical understanding of AI‐assisted engineering tools and broader LLM concepts, with the judgment to use them responsibly with privacy, security, cost, and quality in mind. Clear communication skills, a collaborative mindset, and experience supporting ...

EKS. DevSecOps and secure-by-design engineering. Observability, monitoring and automated alerting. < REST APIs and distributed systems. Ansible, CloudFormation or AWS CDK. AI or LLM integration. Previous delivery within government, defence or another highly regulated environment. AWS certifications. The environment This is a modern, fast-moving and highly collaborative engineering ...

internal portals, reusable libraries, or governance workflows.* Experience improving observability, production support, and operational standards across multiple services or teams.* Exposure to AI/LLM-enabled developer workflows, internal copilots, or automation tooling.* Experience in financial systems, regulated environments, or other high-reliability domains is a plus.**Compensation**Jain Global ...

defect management tooling such as Jira or Azure DevOps. Good technical understanding of web applications, APIs and modern application architectures. Experience testing Generative AI, LLM or RAG solutions would be highly desirable. Understanding of AI evaluation concepts including groundedness, relevance, hallucination testing and retrieval quality. Python, TypeScript/JavaScript ...

Power Platform, including Power Apps, Power Automate, Power Pages and Dataverse, together with solution management, environments and application lifecycle management. Experience building and orchestrating LLM agents, including prompt design, grounding and retrieval, structured outputs, and testing and evaluating agent behaviour where outputs are uncertain or non-deterministic. Experienced with cloud ...

Power Platform, including Power Apps, Power Automate, Power Pages and Dataverse, together with solution management, environments and application lifecycle management. Experience building and orchestrating LLM agents, including prompt design, grounding and retrieval, structured outputs, and testing and evaluating agent behaviour where outputs are uncertain or non‐deterministic. Experienced with cloud ...

well‐structured production code. Qualifications – Nice to Have Experience with streaming or queuing systems (Kafka, Pub/Sub, SQS). Familiarity with AI/LLM systems (AOE integration), though not required across all charters. Knowledge of data engineering patterns or ETL/ELT workflows. Prior experience with API gateway architectures ...

LangChain, LlamaIndex, or similar), including how to evaluate and test multi‐step, autonomous AI behaviour. AEO Literacy: Practical understanding of how answer engines and LLM platforms (ChatGPT, Claude, Gemini, Perplexity) surface, cite, and rank content - and how to audit and improve that visibility. Data Comfort: Comfortable working with data ...

workflows that include SAST, DAST, policy enforcement, and performance telemetry. Improving reliability and resilience through SLOs, error budgets, and chaos engineering. Working knowledge of LLM‐based services and AI infrastructure. You don't need to be an ML engineer, but you should be comfortable deploying, securing, and operating AI Gateways ...

Science solutions across multiple client engagements Deliver Generative AI use cases, including retrieval-augmented generation (RAG), semantic search, knowledge retrieval, agentic AI workflows, and LLM-powered applications Apply machine learning and statistical techniques to structured and unstructured data where appropriate Evaluate, fine-tune, and optimise AI solutions for performance, reliability … Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic AI workflows Embeddings and Semantic Search Prompt Engineering AI Evaluation Frameworks * Experience working with LLM APIs and AI ecosystems such as OpenAI, Anthropic, Azure OpenAI, LangChain, LangGraph, DSPy, or similar technologies Experience working with cloud platforms such as AWS, Azure ...

Science solutions across multiple client engagements Deliver Generative AI use cases, including retrieval-augmented generation (RAG), semantic search, knowledge retrieval, agentic AI workflows, and LLM-powered applications Apply machine learning and statistical techniques to structured and unstructured data where appropriate Evaluate, fine-tune, and optimise AI solutions for performance, reliability … Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic AI workflows Embeddings and Semantic Search Prompt Engineering AI Evaluation Frameworks * Experience working with LLM APIs and AI ecosystems such as OpenAI, Anthropic, Azure OpenAI, LangChain, LangGraph, DSPy, or similar technologies Experience working with cloud platforms such as AWS, Azure ...