**Company: Machine Medicine Technologies Job Description Summary: The text describes the job description for a Machine Learning engineer at Machine Medicine Technologies (MMT). The candidate should have experience deploying and maintaining machine learning pipelines in computer vision, along with expertise in programming principles and code deployment practices. The main duties include leading the design and development of ML pipelines, deploying models into production, and contributing to research. Requirements include commercial python experience, understanding of ML techniques, and a relevant BSc or MSc. Desirable skills include communication, time management, and biomedical sector experience. MMT uses computer vision for neurological assessment, with their first product KELVIN for Parkinson’s disease. The company culture is described as fast-moving and energetic, with a focus on career development opportunities. Company benefits include a competitive salary, employee equity program, pension, and annual leave. Job Description: About you You are an ambitious and capable Machine Learning engineer, with direct experience deploying and maintaining machine learning pipelines in computer vision. You have a superb command of general programming principles and code deployment practices. You care about impact and want to do work that matters. List of main duties and responsibilities: • Leading the design and development of ML pipelines • Deploying machine learning models as microservices into production • Contributing to our research and academic papers Requirements: • Commercial python experience (2+ years) • Demonstrable experience deploying and monitoring Machine learning models • Strong understanding of ML techniques and statistical concepts • BSc, MSc in a relevant quantitative subject (computer science, mathematical engineering, etc) • Experience with at least one deep learning framework (PyTorch or TensorFlow) • Experience with configuration management (Docker, Kubernetes) • Familiarity with cloud… infrastructure (AWS EC2, S3, Batch) Desirable: • Good communication and time management skills • Previous experience in the biomedical sector Additional information • Experience level: Mid • Tech stack used: Python, AWS • Primary skills we consider: Python, Sklearn • Secondary skills we consider: AWS, Tensorflow, PyTorch, Fastai • Employment type: Permanent and Full time • Visa sponsorship: Available About us Machine Medicine Technologies (MMT) uses computer vision and computational statistics to enhance the neurological assessment of patients. Our first product, KELVIN, allows motor assessments in Parkinson’s disease to be performed, recorded and used both faster and better than has ever previously been possible. KELVIN-PD is already in use at clinical sites across several countries. MMT aims to build the platform into a generalised tool for patient selection, surgical planning and device programming for machine brain interfacing, a revolutionary therapeutic innovation. Culture A fast-moving startup, with an energetic and dynamic team, looking to disrupt the MedTech industry with AI. Our employees are encouraged to take on the sort of career development opportunities that cannot be found at larger, more established, companies. We are in the highly regulated medical device industry, so our engineering team has to have an even greater focus on quality, usability and versatility. We also like to blow off steam, whether that’s playing a few rounds of table tennis in the office, or arranging an online gaming session. Company Benefits • Competitive salary • Employee equity programme • Pension • 25 days annual leave (+ bank holidays
Company:Machine Medicine
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
