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 »
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 »
Tensorflow, including transformer architectures. Natural language processing capabilities, including skills in sentiment analysis and using and localising large language models (transformers), ideally through the HuggingFace platform to understand and match similar texts. Maths skills and knowledge to get these techniques at a fundamental level in order to 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 »
Brighton, England, United Kingdom Hybrid / WFH Options
15gifts
stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the-art implementations Familiarity with state-of more »
problem solving Significant experience in ML: Performance analysis and optimization, building models, fine-tuning, RAG, and model training Experience with Pytorch/TensorFlow and HuggingFace Libraries Must be a good communicator (written and presentations) Teach and mentor others "Nice To Have" Skills and Experience Performance analysis of 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 »
open-source software project development and community interaction Experience with any Cloud Service Providers, Cloud Networking, Virtualization and Containers Experience with Pytorch, TensorFlow, and HuggingFace Libraries In Return: We are proud to have a set of behaviors that reflect our culture and guide our decisions, defining how 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 »