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 »
Python/Typescript Knowledge of natural language processing (NLP) and computer vision techniques for advanced automation and generative AI applications.(e.g SpaCy, NLTK, or HuggingFace). Experience supporting digital platforms, including Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc. Experience scaling an “API-Ecosystem”, designing, and 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 »
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 »
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 »
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 »
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 »
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 »
We're looking for candidates with: Python proficiency and a knack for delivering high-quality code. understanding of NLP principles and methodologies. experience with HuggingFace models and fine-tuning LLMs. experience with RAG pipelines. MLOps experience is a huge plus. What's in it for you: to 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 »
We're looking for candidates with: Python proficiency and a knack for delivering high-quality code. understanding of NLP principles and methodologies. experience with HuggingFace models and fine-tuning LLMs. What's in it for you: to £75,000 salary. work with flexibility and autonomy. to cutting 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 »
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 »
a successful, the ideal Python Machine Learning Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, HuggingFace, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for 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) Experience of SQL and/or Kusto WHAT WE'RE LOOKING FOR: Troubleshooting and debugging to solve complex problems Thriving in more »
Milton Keynes, Loughton, Buckinghamshire, United Kingdom Hybrid / WFH Options
Noa Recruitment Ltd
To be a successful, the ideal Python Engineer candidate will have: · Strong background in Python of Machine Learning or AI · Strong knowledge of PyTorch, HuggingFace, TensorFlow · Experience of MLOps would be a benefit · Experience of working in a small but growing team. What is in it for 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 »
Milton Keynes, Buckinghamshire, South East, United Kingdom Hybrid / WFH Options
Dupen Ltd
developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, HuggingFace, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design more »
