Trabajos deep learning en Harpenden

This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research

Deep Neural Networks (DNN) * Generative Adversarial Networks * Deep Learning * Define, evaluate and assess AI systems performance * Explore and implement state-of-the-art algorithms to keep our ...

Excellent knowledge in a range of AI , machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) * Ability to communicate ...

NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) * Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field. Any demand ...

Act in an advisory capacity to the board on various problems within Machine learning, Deep Learning and Recsys/Ranking * Shape product objectives and machine learning methods to refine both develop ...

Their models are a mixture of well-known classical ML systems and highly bespoke deep learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They are adding ...

Experienced Deep Learning Engineer for Game Technology We are looking for an experienced machine learning engineer with a solid understanding of low-level systems programming. If you are as ...

A deep understanding of designing and implementing complex algorithms, data science and machine learning * You should have at least 1 year of professional experience in data science and machine ...

Circa 140K 165K + Benefits Machine Learning Scientist required by fast-growing, Top Tech Company building state-of-the-art deep learning models! This is a varied, challenging role where youll lead ...

Deploying and productionising core segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clients * Part of a team of 9 reporting to ...

Research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations * Experience working with ...

AI / Python / Data scientist / Machine Learning Engineer / Neural Networks / Deep Learning / LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI ...

Experience with machine learning methods, such as regularization, random forests, neural networks and deep learning. * Ability to write algorithms and implement pipelines in Python. Knowledge of ...

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge ...

Detailed knowledge on a range of AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP ...

... Deep Learning / NLP / LLM) • Experience in Energy / Commodities

... or deep learning * 3+ years using SQL to query large datasets * Excellent documentation and data presentation skills * Experience communicating highly technical results to a diverse audience * A ...

Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms * Familiarity using cloud based AI services for use cases such as ...

MACHINE LEARNING ENGINEER NEW PERMANENT OPPORTUNITY AVAILABLE FOR A MACHINE LEARNING ENGINEER IN ... DEEP VETTING / DEVELOPPED VETTED

Experienced with deep learning platforms like PyTorch, and able to quickly learn new technologies.

There will be opportunities to get involved with state-of-the-art deep learning research thanks to our partnership with the University of Cambridge and also UI / UX design and frontend development if ...

Broad, deep and hands-on experience with key AI/ML technologies including, but not limited to classical machine learning, deep learning, and data science: in terms of algorithms, data engineering ...

Experience with neural network architectures, deep learning techniques, and building and training deep learning models. * Creating and handling large datasets including pre-processing steps and ...

Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning