1 to 25 of 68 LangChain Jobs in Scotland

expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques. Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...) Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...) Hands-on experience with one More ❯

our products. For this role, we're looking for: Strong Python skills and experience with AI/ML approaches and frameworks such as RAG, LangChain, TensorFlow, and PyTorch. Exposure to LLMs from model families such as Anthropic, Meta, Amazon, and OpenAI. Familiarity with tools and packages like Pandas, NumPy, scikit More ❯

usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. More ❯

usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. More ❯

Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or More ❯

Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or More ❯

NumPy. Experience with Retrieval Augmented Generation (RAG). Proficiency in Prompt Engineering. Knowledge of vector databases and embedding models. Familiarity with frameworks such as LangChain, LangGraph, and LlamaIndex. Experience with multi-agent libraries/frameworks like CrewAI, Autogen, and Taskweave. Hands-on experience with Azure cloud services, including Azure Functions. More ❯

C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding 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 More ❯

C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding 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 More ❯

C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding 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 More ❯

usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. More ❯

any experience of these would be a plus: Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools; proficiency in SQL. Hands-on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI More ❯

Databricks), vector databases, metadata & lineage Leadership: Proven experience guiding multi‐disciplinary teams and influencing C‐suite stakeholders Backend and cloud languages such as Spark, LangChain, Terraform Analytics and visualisation experience with tools like Power BI or Superset Energy‐sector exposure (trading, flexibility markets, renewables, grid optimisation) Kubernetes & container orchestration for More ❯

engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document technical solutions and contribute to internal knowledge sharing INDIVIDUAL RESPONSIBILITIES: Take ownership of assigned technical tasks, ensuring timely and high-quality More ❯

engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document technical solutions and contribute to internal knowledge sharing INDIVIDUAL RESPONSIBILITIES: Take ownership of assigned technical tasks, ensuring timely and high-quality More ❯

engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document technical solutions and contribute to internal knowledge sharing INDIVIDUAL RESPONSIBILITIES: Take ownership of assigned technical tasks, ensuring timely and high-quality More ❯

production cloud environments. Advanced Python: Expertise in developing efficient, production-grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large-scale AI data processing. SQL: Strong capabilities in data querying More ❯

with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration More ❯

with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration More ❯

with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration More ❯

Anthropic, Hugging Face, etc.). Strong Python programming skills, including libraries like pandas , numpy , and experience with data pipelines. Familiarity with frameworks such as LangChain , Semantic Kernel , or similar. Prior experience working with AI evaluation techniques and agent orchestration . Understanding of cloud AI platforms (AWS, Azure, or GCP). More ❯

vector databases, RAG pipelines, prompt engineering, and fine-tuning Comfortable using cloud platforms (especially Azure), and familiar with tools such as Databricks, Hugging Face, LangChain, and open-source GenAI libraries Naturally curious and passionate about staying ahead of AI and data science trends Commercially aware, with the ability to identify More ❯

Join to apply for the AI Platform Engineer role at Robert Walters 1 day ago Be among the first 25 applicants Join to apply for the AI Platform Engineer role at Robert Walters Get AI-powered advice on this job More ❯

leadership in embedding modern engineering practices (DataOps, MLOps) within teams. Comfortable working in Agile development and structured deployment environments. Desirable experience with Azure OpenAI, LangChain, and graph/vector databases. What’s on offer: Opportunity to lead the engineering backbone of a data-driven transformation. Work with forward-thinking teams More ❯

leadership in embedding modern engineering practices (DataOps, MLOps) within teams. Comfortable working in Agile development and structured deployment environments. Desirable experience with Azure OpenAI, LangChain, and graph/vector databases. What’s on offer: Opportunity to lead the engineering backbone of a data-driven transformation. Work with forward-thinking teams More ❯