251 to 275 of 306 Permanent LangChain Jobs

where this was necessary. You either have professional experience using LLMs or have enthusiastically experimented in your own time. Industry experience with LLM toolchains and ecosystems (e.g. libraries like Langchain, observability tooling, RAG systems, etc.) is a plus. You can work closely with a Product Manager to understand customer requirements, build a vision for your team, and turn that into More ❯

where this was necessary. You either have professional experience using LLMs or have enthusiastically experimented in your own time. Industry experience with LLM toolchains and ecosystems (e.g. libraries like Langchain, observability tooling, RAG systems, etc.) is a plus. You can work closely with a Product Manager to understand customer requirements, build a vision for your team, and turn that into More ❯

Startup (London/Hybrid) Salary : £100k–140k Equity : 1–3% (founding-level) Hybrid working: Central London, 3 days p/week in office. Tech Stack: TypeScript, Node.js, React, Python, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics . This is a seed-stage, well-funded company More ❯

Startup (London/Hybrid) Salary : £100k–140k Equity : 1–3% (founding-level) Hybrid working: Central London, 3 days p/week in office. Tech Stack: TypeScript, Node.js, React, Python, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics . This is a seed-stage, well-funded company More ❯

Data Science Engineer - MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL We are actively working with a global law firm who are actively looking to bolster their IT team as they undergo a global-scale cloud transformation. At present they are looking to take on a new Data Science Engineer (MLOPS, Machine Learning … AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) to join their team on a permanent basis. this role we be responsible for the design, development and delivery of advanced analytics and AI solutions. This is a fantastic time to join a top-tier global law firm who have a long-stream of projects in the pipeline … alongside a diverse and collaborative team environment. To be considered for this Data Science Engineer (MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) role, it's ideal you have: Ideal but not required law firm experience 2-4 years experience within AI/ML positions Knowledge of cloud platforms (Ideally Azure) AI/ More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

in a commercial setting Good working knowledge of Python for backend or automation work Experience building APIs and working with third-party data Interest in AI tools and automation (LangChain/CrewAI a bonus) Benefits: As an AI Developer, you will get... Hybrid working – 3 days in Suffolk, rest remote A collaborative, technical team solving real problems Freedom to explore More ❯

to-end with Next.js for a unified development experience. AWS and Terraform for scalable, version-controlled infrastructure. TurboRepo for rapid code sharing and efficient testing. AI-driven architecture using LangChain and custom orchestration for real-world solutions. What's on Offer Permanent role with a competitive salary and meaningful equity . Brand-new MacBook and full setup provided. Private medical More ❯

to-end with Next.js for a unified development experience. AWS and Terraform for scalable, version-controlled infrastructure. TurboRepo for rapid code sharing and efficient testing. AI-driven architecture using LangChain and custom orchestration for real-world solutions. What's on Offer Permanent role with a competitive salary and meaningful equity . Brand-new MacBook and full setup provided. Private medical More ❯

to-end with Next.js for a unified development experience. AWS and Terraform for scalable, version-controlled infrastructure. TurboRepo for rapid code sharing and efficient testing. AI-driven architecture using LangChain and custom orchestration for real-world solutions. What's on Offer Permanent role with a competitive salary and meaningful equity . Brand-new MacBook and full setup provided. Private medical More ❯

grasp of systems thinking and distributed architectures integrating AI and enterprise platforms.•Proficiency in Python and (desirable) Infrastructure as Code for cloud deployment.•(Desirable) Familiarity with orchestration frameworks (e.g. LangChain, AutoGen, CrewAI).•(Desirable) Experience with MS Copilot Agents or similar AI-driven business solutions.Communication and Stakeholder Engagement•Demonstrated experience leading technical teams in simulation or AI-oriented projects, ideally More ❯

deployed, and scaled across the organisation. You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI … Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data, product, and engineering teams. Why Apply? Be part of a growing More ❯

deployed, and scaled across the organisation. You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI … Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data, product, and engineering teams. Why Apply? Be part of a growing More ❯

deployed, and scaled across the organisation. You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI … Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data, product, and engineering teams. Why Apply? Be part of a growing More ❯

enforce architectural standards and governance frameworks for the agent lifecycle, data lineage, observability, and interoperability. Technology Evaluation and Selection: Evaluate and select AI platforms, tools, and protocols, such as LangChain, AutoGen, or similar frameworks, ensuring they meet scalability, security, and performance requirements within the Azure environment. Implementation Oversight: Guide development and operations teams through the deployment, integration, and testing of … systems and Generative AI. Deep expertise in enterprise architecture frameworks (e.g., TOGAF, Zachman) and cloud-native architecture (preferably Microsoft Azure). Understanding LLMs and Python-based agentic frameworks like LangChain or AutoGen. Strong understanding of data governance, security protocols, and MLOps practices in a cloud environment. Proven track record of designing and deploying scalable AI solutions that deliver measurable business More ❯

Lead and clients to shape, design and explain potential solutions. Develop and maintain high-quality AI applications, including: Cloud functions and REST APIs, Integration with AI Python libraries (e.g. LangChain, LangGraph), Database interfacing (SQL, document, vector), User interface development and testing, Debugging, validation and documentation Build new features and improvements for Chat2Impact, their fullstack AI product. Work collaboratively with colleagues … and clients to ensure smooth, effective project delivery. What Were Looking For: Strong programming skills in Python and TypeScript, Familiarity with Agentic Frameworks (e.g. LangChain, LangGraph) Proven experience building full stack applications using Git, SQL databases and modern deployment practices Understanding of LLMs, embedding models and RAG systems Solid software engineering fundamentals and secure coding practices Strong problem-solving, communication More ❯

Lead and clients to shape, design and explain potential solutions. Develop and maintain high-quality AI applications, including: Cloud functions and REST APIs, Integration with AI Python libraries (e.g. LangChain, LangGraph), Database interfacing (SQL, document, vector), User interface development and testing, Debugging, validation and documentation Build new features and improvements for Chat2Impact, their fullstack AI product. Work collaboratively with colleagues … and clients to ensure smooth, effective project delivery. What We’re Looking For: Strong programming skills in Python and TypeScript, Familiarity with Agentic Frameworks (e.g. LangChain, LangGraph) Proven experience building full stack applications using Git, SQL databases and modern deployment practices Understanding of LLMs, embedding models and RAG systems Solid software engineering fundamentals and secure coding practices Strong problem-solving More ❯

Opportunity for a AI Engineer Developer to work for an established FinTech company Salary up to £75k depending on experience Hybrid working out of Sevenoaks HQ Tech stack - LLMs, Langchain, OpenAI, n8n, Flowable If you wish to keep your CV/data private feel free to WhatsApp your details/CV to me, Dan - 07704 152638 WHO WE ARE: We … WHAT YOU WILL BE DOING Build intelligent workflows using n8n, Microsoft Power Automate, Flowable, and similar tools. Design and implement agentic AI solutions, integrating LLMs and frameworks such as LangChain, AutoGen, and RAG pipelines with platforms like OpenAI. Collaborate with teams across the business to identify automation opportunities and enhance efficiency. Contribute to the company's AI and workflow automation … environment. AI Engineer - Essential Skills Hands-on experience with workflow automation tools such as n8n, Microsoft Power Automate, or Flowable. Strong understanding of LLM integration and agentic AI frameworks (LangChain, AutoGen, RAG). Proficiency in Python or JavaScript for scripting and workflow logic. Familiarity with APIs, event-driven architectures, and cloud platforms (Azure, AWS, or GCP). TO BE CONSIDERED More ❯

aligned with business goals. Design secure, scalable AI architectures and set governance standards for agent life cycle, data lineage, and interoperability. Assess and select AI platforms and frameworks (eg, LangChain, AutoGen) for performance and security within Azure. Guide teams on deployment, integration, and testing; promote best practices in AIOps, LLMOps, and agile delivery. Ensure data readiness by building robust pipelines … and Generative AI. Deep expertise in enterprise architecture frameworks (eg, TOGAF, Zachman) and cloud-native architecture, preferably on Microsoft Azure. Understanding of LLMs and Python-based agentic frameworks like LangChain or AutoGen. Strong knowledge of data governance, security protocols, and MLOps practices in a cloud environment. Proven track record of designing and deploying scalable AI solutions that deliver measurable business More ❯

a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills … for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector More ❯

a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills … for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector More ❯