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Continuous Improvement: Stay up-to-date with the latest advancements in data science, machine learning, and cloud technologies. Proven experience with Python for data analysis and machine learning.
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You must have proven knowledge of the implementation of Machine Learning models/LLM Models. Driving innovation with AI and machine learning to accelerate drug discovery and transform healthcare.
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A great opportunity for an AI Engineer/ Machine Learning Engineer with solid experience in Gen AI/ LLMs to join a well established InsurTech with scope for a breadth of interesting AI projects.
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Budget for learning & development to support your growth. We’re well on our way having cultivated a community of top-quality contractors, developed a stream of projects sold, and built a sophisticated supplier ecosystem to support each home renovation.
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You have commercial experience of working with AI, a demonstrable interest in Generative AI concepts such as LLM, OpenAI, Hugging Face, Vision, multi-modal, embedding models, similarity search, dense vector persistence as well as an understanding of Machine Learning concepts - you may have an relevant MSc, contribute to blogs, attend conferences and events.
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8 hours or an ‘Eight Day’ per month to be used for training and development courses; team building, team learning and development events; volunteering or charity events etc. · Budget for training, learning and development programs to support your professional growth, empower you to thrive in your role and prepare you for future opportunities.
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Advanced Mathematical skills - linear algebra, machine learning, statistics etc. Minimum 4 years of experience in alpha research. I have partnered with a systematic hedge fund to expand their team of researchers to work on designing new strategies and trading signals across equities.
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Advanced knowledge of statistical modelling and machine learning, with relevant experience in the use of relevant Python libraries e.g. scikit-learn, xgboost, tensorflow, pymc3, statsmodels (and R equivalents.
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You will be supporting the coordination of all internal training, assisting with all administrative tasks, updating and maintaining learning records and the firm’s intranet. Use the firm’s intranet to add and publicise events and maintain our on-demand library and training record.
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Learning Support Assistant – Ealing– Immediate Start. Collaborating with classroom teachers to adapt lesson plans and learning materials, ensuring each student receives the support they need.
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We are recruiting Machine Learning Engineers for a major energy trader. - Understanding of machine learning fundamentals, including deep learning, generative models, NLP techniques, such as sentiment analysis, and entity recognition and disambiguation.
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The Analytics Engineering team transform raw data into well-organised, tested and documented data models to help security teams gain insights, build reports, and develop advanced analytics, machine learning, and AI solutions to strengthen security.
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Knowledge of one or more core tech area including Web Tech, Data/Big Data, Systems Admin, Machine Learning, Systems Design, Networking, Large Dataset Processing, Video/Mobile, data analysis, Cloud, Containers, Telecoms, Video, Hardware/Low Level, Android OS, Chrome OS, Mobile, Auto, Wearables , or other specialities to be determined by hiring manager.
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Solid knowledge in one or more core tech areas, such as Web Tech, Data/Big Data, Systems Admin, Machine Learning, or Networking. Solid knowledge in one or more core tech areas, such as Web Tech, Data/Big Data, Systems Admin, Machine Learning, or Networking.
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1-3 years of direct experience as a quant researcher or trader, or in data science/machine learning space. - Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
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machine learning jobs Title: research intern Company: Md Anderson Cancer Center in London, England, United Kingdom
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