ideally have a strong academic foundation which has progressed into applied AI where you will be working with a plethora of technologies/projects including; MLFlow, Vertex AI and HuggingFace Python Agentic AI This is a client facing role where you will act as a consultant on AI transformation for the end client. This will be mostly remote but they More ❯
outcomes through effective use of data. We find that one of the biggest problems experienced by our clients today is being overwhelmed with the amount of data that they face and not knowing how to leverage it to their advantage. The vast landscape of available technology stacks and models means that choosing the right ones can be a daunting … and EKS You'll build CI/CD pipelines using GitHub Actions, Jenkins, and AWS CodePipeline for deploying traditional ML, GenAI models, and AI agents Deploying LLMs (e.g., via Huggingface) and construct AI agent workflows using tools like LangChain, LangGraph, and custom orchestrators Your expertise will help reduce cloud costs with GPU acceleration, auto-scaling, and spot instances To implement More ❯
to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., HuggingFace Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge More ❯
to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., HuggingFace Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge More ❯
to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., HuggingFace Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge More ❯
london (city of london), south east england, united kingdom
Glite Tech
to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., HuggingFace Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge More ❯
to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., HuggingFace Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge More ❯
this space. The role The role is building AI applications based on LLM and models such as GPT and BERT You'll make use of Python programming, Pyspark, tensorflow, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. Cloud data platforms and a diverse set of tools for AI app deployment. The opportunity Work at the forefront of the industry. … applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real purpose and for real results Support one another - pull together and be More ❯
United Kingdom, Wolstanton, Staffordshire Hybrid / WFH Options
Uniting Ambition
this space. The role The role is building AI applications based on LLM and models such as GPT and BERT You'll make use of Python programming, Pyspark, tensorflow, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. Cloud data platforms and a diverse set of tools for AI app deployment. The opportunity Work at the forefront of the industry. … applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real purpose and for real results Support one another - pull together and be More ❯
our key products Collaborate with GTM and sales teams during pre-sales cycles, workshops, and proof-of-concepts. AI and ML Engineering Implement, optimise, and deploy models using PyTorch , HuggingFace , LangChain , and NVIDIA Triton . Execute fine-tuning and evaluation of foundation models for domain-specific use cases. Package and deploy models into scalable inference endpoints (REST/gRPC APIs … solutions engineering roles. Proven experience with: RAG pipelines (LangChain, LlamaIndex, Weaviate, Pinecone, Milvus, etc.) Fine-tuning LLMs (LoRA, PEFT, instruction-tuning, domain adaptation) Deploying inference endpoints at scale (Triton, HuggingFace Inference, Ray Serve, Kubernetes) Strong coding skills in Python (and ideally one of Go, Java, or C++). Deep understanding of vector databases , embeddings , and semantic search . Experience working More ❯
