Sheffield, Yorkshire, United Kingdom Hybrid / WFH Options
Delta Capita
with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Huggingface, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Preferred Experience: Experience using PostgreSQL for More ❯
Leigh, Greater Manchester, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
Python and large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. HuggingFace, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or More ❯
Bolton, Greater Manchester, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
Python and large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. HuggingFace, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or More ❯
Bury, Greater Manchester, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
Python and large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. HuggingFace, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or More ❯
Altrincham, Greater Manchester, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
Python and large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. HuggingFace, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or More ❯
Leeds, West Yorkshire, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
Python and large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. HuggingFace, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or More ❯
Ashton-Under-Lyne, Greater Manchester, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
Python and large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. HuggingFace, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or More ❯
an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI … assessing your experience and behaviours that are relevant to this role. Expected sift date - TBC Expected interview date/s - TBC Interview location -Your interview will either be conducted face to face or by video. You will be notified of the location if you are selected for interview. Near miss offers may be made at a lower grade More ❯