variety of tools and technologies across our products. For this role, we're looking for: Strong Python proficiency with hands-on experience in AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly More ❯
Houston, Texas, United States Hybrid / WFH Options
INSPYR Solutions
Science, Artificial Intelligence, Machine Learning, or a related field. 3+ years of professional experience in AI engineering, specifically manipulating and deploying LLMs in production (e.g., via Hugging Face Transformers, LangChain, LlamaIndex, or OpenAI/Groq APIs), including hands-on work with open-source models like Gemma and Llama for local deployment (e.g., using Ollama, vLLM, or direct PyTorch inference setups More ❯
on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraph Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring. Proven experience deploying and operating ML systems in production (batch and real-time More ❯
Generative AI solutions; evidence of real-world impact highly desirable. Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred. Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases, and generative architectures; related More ❯
/Elastic), and multi-modal models. Proven experience with cloud-native AI development (AWS SageMaker, Bedrock, MLFlow on EKS). Strong programming skills in Python and ML libraries (Transformers, LangChain, etc.). Deep understanding of Gen AI system patterns and architectural best practices, Evaluation Frameworks Demonstrated ability to work in cross-functional agile teams. Need to provide GitHub Code Repository More ❯
Reigate, Surrey, England, United Kingdom Hybrid / WFH Options
esure Group
scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG More ❯
GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! Experience in legacy environments and modern approaches to technology More ❯
Arlington, Virginia, United States Hybrid / WFH Options
ECCO Select
modern libraries such as Hugging Face Transformers, spaCy, Scikit-learn, etc. - Integrate ML systems into scalable data architectures in collaboration with data engineers and software teams. - Utilize frameworks like LangChain, Haystack, or equivalent for RAG-based solutions, working with large language models and vector embeddings. Essential Skills, Experience - Bachelor's or Master's degree in Computer Science, Engineering, or related More ❯
or agentic AI systems. Strong programming skills in Python (or similar), and experience with AI/ML frameworks such as PyTorch or TensorFlow. Experience with one or more of: LangChain, LangGraph, AutoGPT, ReAct, or similar agentic architectures. Solid understanding of LLMs, prompt engineering, and tool integration (APIs, plugins, retrieval-augmented generation). Familiarity with planning algorithms, reinforcement learning, or symbolic More ❯
Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or related field (Master's preferred). Software development experience in AI/LLM development (OpenAI, Anthropic, Hugging Face, LangChain, RAG pipelines, etc.). Programming skills in Python, JavaScript/TypeScript, or similar. Experience building AI-enabled web applications and APIs. Hands-on experience with collaboration platforms (SharePoint, Confluence, custom More ❯
production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. • Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. • A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine More ❯
ReAct for building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and tooling (such as MLflow, Kubeflow, or similar), vector databases, and cloud platforms (AWS, Azure, GCP) with their AI/ML offerings Preferably hands-on experience with More ❯
City of London, London, United Kingdom Hybrid / WFH Options
KPMG UK
and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: Strong More ❯
and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: Strong More ❯
london, south east england, united kingdom Hybrid / WFH Options
KPMG UK
and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: Strong More ❯
slough, south east england, united kingdom Hybrid / WFH Options
KPMG UK
and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: Strong More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
KPMG UK
and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: Strong More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Salt Search
desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow, Dataiku, DataRobot). Knowledge of embeddings, their applications, and limitations. Hands-on experience in Agile/Lean/XP environments. Excellent communication, problem-solving, and cross-team More ❯
and basic ML concepts Strong communication and collaboration skills Passion for developer experience and building tools that engineers love Nice-to-Haves: Hands-on experience with OpenAI, Hugging Face, LangChain, or similar frameworks Background in AWS AI ecosystem and tools like Bedrock Experience with GitHub Copilot or similar Contributions to open-source developer tools or AI projects At JET, this More ❯
/distillation of large-scale language models, with hands-on expertise in SFT, PPO, and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI More ❯
that AI solutions remain stable and cost-efficient in production. Requirements Your Profile/Requirements Proven experience in building conversational AI and/or multi-agent systems (e.g. with LangChain, AutoGen, CrewAI, or similar frameworks). Strong programming skills in Python (TypeScript/Node.js is a plus). Solid understanding of REST and gRPC APIs , including design, integration, and scaling. More ❯
with MLOps, model monitoring, and production deployment Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus Hands-on experience with LLM stacks (e.g., Mistral, LangChain, Chroma, Hugging Face Transformers) Interest in staying current with AI trends and contributing to internal R&D or innovation initiatives Additional Information Publicis Groupe operates a hybrid working pattern with More ❯
