and maintain ETL pipeline infrastructure ideally with SQS/similar queueing communication mechanisms Hardcore ETL especially with unstructured text Productionising NLP models such as HuggingFace and spacy Scraping infrastructure and execution Requirements: Bachelor's or Master's degree in Mathematics, Computer Science, Engineering, or a related field. … Years+ working as a data engineer ideally in a senior capacity Strong experience of Python Deep knowledge of NLP such as huggingface and spacy AWS - ETL Processes (Glue, Lambda etc.), ECS, S3, Database Solutions (Redshift, RDS) Vector Databases a big plus Familiar with Graph Data Structure and more »
of AI/ML libraries and frameworks, e.g. TensorFlow or PyTorch. Strong enthusiasm for Machine Learning, Cognitive Services, and innovative AI technologies (ChatGPT, LangChain, HuggingFace, etc), including a comprehensive understanding of large language models. You also have an affinity for open-source frameworks that help advance the more »
understanding of AI/ML libraries and frameworks, e.g.TensorFlow or PyTorch. Strong enthusiasm for Machine Learning, Cognitive Services, and innovative AI technologies (ChatGPT, LangChain, HuggingFace, etc), including a comprehensive understanding of large language models. You also have an affinity for open-source frameworks that help advance the more »
field of software engineering, showcasing robust coding proficiency and a profound curiosity for Large Language Models. Expertise in NLP, with experience in PyTorch, TensorFlow, HuggingFace, transformers, and Python. Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience. Experience with Large Language Models 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 »
understanding of ML algorithms, DL architectures, RL Insight into generative models, transformer architecture, and training of LLMs Proficiency in Python, familiarity with TensorFlow, PyTorch, HuggingFace transformers and LangChain Effective communication, especially in explaining AI conecpts to non-technical stakeholders NEXT STEPS Interested in the vacancy? We encourage more »
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 »
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 »
deploy models into production systems, ensuring seamless operation and performance optimization REQUIREMENTS: Proficient in Python development Hands-on experience with Transformer implementation, preferably with HuggingFace Fine-tuning expertise with LLMs Previous experience deploying models, ideally on AWS Ability to script AWS Lambda functions Familiarity with Langchain application development Experience implementing 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 »
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 »
an exciting journey to build their AI practice and a team around you. Required Skills: Building cloud and native machine learning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience in Health Care is essential We would more »
specialise in NLP/Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Youll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such …/Large Language Models 4+ years of post-doctoral or similar commercial experience Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in 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 »