You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems
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 ...
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 ...
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 ...
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.
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 ...
Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning
Experience with relevant technology such as the Python ecosystem, Deep Learning algorithms in Ecommerce or Retail environments is desirable. Responsibilities: * The role will remain hands-on, so will ...