data pipelines. This role is critical in ensuring the high performance and reliability of our AI-driven solutions. Responsibilities: Deploy LLMs using platforms like Huggingface, Sagemaker, or similar. Manage deployment on multiple GPUs, ensuring optimal performance. Implement scaling and load balancing to handle varying loads efficiently. Design and maintain data more »
YOUR SKILLS AND EXPERIENCE: The ideal Data Scientist will possess the following: You must have experience in LLMs, with a focus on fine-tuning (HuggingFace etc.) Strong commercial proficiency in SQL and Python Willingness to work in a fast-paced environment Cloud experience and experience in deployment more »
background in a relevant field (Statistics, Computer Science, etc.) Significant experience utilising NLP in a commercial setting, ideally for NER/Document understanding, etc. HuggingFace a bonus. Experience working with transformers-based models such as BERT, GPT, etc. Extensive Deep Learning & Machine Learning knowledge. Usage of LLMs more »
Greater London, England, United Kingdom Hybrid / WFH Options
Alphaleon
Models (LLM), Retrieval Augmented Generation (RAG), Named Entity Recognition (NER), and Chatbot Development. Deep knowledge of Generative AI, LLMs, Transformers. Familiarity with LangChain, LlamaIndex, HuggingFace libraries. Proficient in MLOps & DevOps Tools such as Docker, Kubernetes, Terraform. Good knowledge about vector databases, proficient in SQL and ORM tools such as SQL more »
of the latest AI research and ability to efficiently implement these systems. Prior experience at a leading machine learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.). Nice to Have: Experience as an early engineer at a fast-growing startup. Interest in and consideration of the impacts of AI technology. more »
MACHINE LEARNING ENGINEER REMOTE £70,000 - £90,000 COMPANY: We have partnered with an AI based startup, who are focused on developing the latest AI and LLM solutions for businesses withing the property and real estate industry. They are looking more »
Git, Unix, and pytest. You're familiar with popular Python data mining and wrangling libraries, including pandas, numpy, sklearn, pytorch, langchain, llamaindex, bedrock, sagemaker, huggingface, mlflow, gradio, Flask, FastAPI, SQLAlchemy, psycopg2, boto3, gunicorn, pytest, and scrapy Experience with cloud services like Microsoft Azure (Data Factory, ML Studio, Synapse Analytics, etc. more »
team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves: Experience using Python with more »
higher in Computer Science, Engineering or related field. Proven experience in NLP and LLMs with Python and AWS SageMaker proficiency. Skilled in implementing transformer (HuggingFace) Experience in building applications in Langchain What's In It For You: Work on cutting-edge projects at the forefront of NLP and LLMs. Salary more »
of 4 years' experience in Python, with a strong foundation in machine learning principles. Proficient in modern AI frameworks and libraries, notably PyTorch and Hugging Face. Experienced with foundational Large Language Models (LLMs) APIs in production environments. Skilled in deploying machine learning solutions to production. Strong communication skills, with more »
register your interest by sending your CV to or click the Apply Link! Machine Learning, Python, NLP, LLMS, Large language models, FineTuningDeep Learning, Transformers, Huggingface, Pytorch, Computer Science more »
