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 »
journey of digital transformation. What We're Looking For: Proficiency in Python Strong NLP experience with tools like NumPy and Pandas Demonstrable experience with HuggingFace and finetuning LLMs Expertise in learning algorithms, neural networks, and ML frameworks such as TensorFlow and PyTorch Advocate of promoting MLOps best 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 »
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 »
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 »
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 »
Milton Keynes, Buckinghamshire, South East, United Kingdom Hybrid / WFH Options
Interact Consulting Limited
up and the next goal is to build/define the first MVP (features, UX, etc.) of the AI (Artificial intelligence) hub (similar to Huggingface). As a Technical Product Manager you will be comfortable leading the development of this product and working with a small team of more »
Employment Type: Contract, Work From Home
Rate: From £450 to £500 per day Fully remote and outside of IR35
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 »
development tasks. We’d love to see these skills from you: Proficiency in Python Strong NLP experience – NumPy, Pandas Commercial hands-on experience with HuggingFace and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other 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 »
in Machine Learning/AI engineering. Proficiency in Large Language Models (LLMs) and accompanying toolsets within the LLM ecosystem (e.g., Langchain, Vector databases, opensource HuggingFace Models). Knowledge and experience in Reinforcement Learning and/or Meta Learning. Demonstrated expertise in developing and deploying machine learning models 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 »
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 »
Python, Github, Jupyer Notebooks, etc.) Proficiency with deep learning packages (such as PyTorch, Jax, or TensorFlow) Experience with ML/LLM Software packages (e.g. HuggingFace, wandb, numpy, matplotlib, NLTK, etc.) Good problem-solving and communication skills Ability to work in a dynamic and fast-paced environment Ability to demonstrate passion more »
NLP), such as NumPy and pandas. A deep understanding of Natural Language Processing (NLP) principles and methodologies. Hands-on experience in utilizing open-source HuggingFace models and fine-tuning Language Models (LLMs) to achieve project objectives. What's in it for you Salary of up to 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 »
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 »
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 »