/graphics processing or computer vision (minimum of 36 months experience) Solid background in one or more of the following: (i) neuralnetwork architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neuralnetwork design; (ii) design … and test of advanced convolutional, recurrent, transformer-based or other neuralnetwork architectures in a task-specific manner; (iii) some experience in training, validation and evaluation of deep neuralnetwork models on large datasets, evidenced by experience in using Python libraries like HDF5 or more »
/graphics processing or computer vision (minimum of 36 months experience) Solid background in one or more of the following: (i) neuralnetwork architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neuralnetwork design; (ii) design … and test of advanced convolutional, recurrent, transformer-based or other neuralnetwork architectures in a task-specific manner; (iii) some experience in training, validation and evaluation of deep neuralnetwork models on large datasets, evidenced by experience in using Python libraries like HDF5 or more »
Performance Tools Engineer in Cambridge, UK About Neubla As pioneers of innovative neural computing, Neubla is transforming the future of computing by bringing the enormous potential of neural computing to the highest performance in most data-intensive applications. Neubla is made up of people with expertise … CPU. However, in AI accelerator domain, the performance model has often been taken lightly due to the regular computation patterns of neuralnetwork models. However neuralnetwork models are getting bigger and much more complex every month, and it became almost impossible to estimate more »
Guildford, Surrey, South East, United Kingdom Hybrid / WFH Options
Allianz Insurance Plc
and various foundational LLM's for Retrieval Augmented Generation (RAG) architecture including opensource would be desirable. Experience with graph machine learning (i.e., graph neuralnetworks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graph, creating ontologies leveraging Neo4j, GraphDB and more »
testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neuralnetworks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team membersIf this more »
testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neuralnetworks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If more »
Corporation or Microsoft would be a bonus. Experience: Experience in applying Artificial Intelligence in practical systems Experience in Machine Learning, NLP, Deep Learning, NeuralNetworks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy at least three or more) Experience in Data mining, Data warehousing, ETL more »
techniques quickly is essential. Some Experience in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, NeuralNetwork, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics). Experience of manipulating large quantities of high-dimensional … diversity and has professional experience in working in different places, different industries and different geographies. Ability to form impactful and trusted partnerships across the network and ensure sustained, fruitful and meaningful collaboration with all relevant stakeholders. Your role at Mediprospects.ai is integral to helping the world meet new breakthroughs more »
stakeholders, so it s equally important that IT Project Managers understand how to manage stakeholder relationships. Experience in Machine Learning, NLP, Deep Learning, NeuralNetworks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy at least three or more) Experience in in management either at a more »
management experience, with a knack for leading cross-functional teams and mentoring. - Advanced analytical skills, with experience in deep learning and knowledge of neuralnetworks (TensorFlow, PyTorch). - Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps practices, including tools like MLFlow, BentoML, and Evidently AI. - Awareness more »
PowerPoint and presentation/communication skills Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable) Tech Stack: SQL, Python, R, Tableau, Power BI, AWS Athena more »
well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Expertise in graph machine learning (i.e. graph neuralnetworks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with more »
Role:Your day-to-day responsibilities will include:Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neuralnetworks to support core clientsPart of a team of 12 reporting to the Head of Data ScienceChance to have 1 direct report within an more »
Advanced degrees in fields such as engineering, mathematics, physics, or statistics. Background in data science within finance, insurance, or eCommerce sectors. Experience with neuralnetworks and tools like TensorFlow, CatBoost, XGBoost, SKlearn, and Pandas. Benefits: Competitive salary. 25 days annual leave, plus additional company-specific days. 4-week more »
engineering role, with exposure to: Implementing python libraries using OOP principles Experience applying DL or NN model architectures to geometric data (e.g., graph neuralnetworks) Extensive experience with numerical and DL libraries (e.g., JAX and PyTorch) Using distributed computing frameworks (e.g., Ray) Docker for development and deployment Experience more »
advanced analytics or machine learning algorithms. An understanding of data science and machine learning concepts and algorithms such as clustering, regression, classification, forecasting, neuralnetworks, hyperparameter tuning, NLP, and utilising LLMs. An understanding of the importance of effective communication with clients and experience of relaying complex technical concepts more »
using techniques such as Multi-Touch Attribution, Marketing Mix Modelling or similar would be highly desirable Knowledge of machine learning techniques such as Neural Nets, Random Forest or XgBoost and working with LLMs and associated techniques would be beneficial You are highly driven, dedicated, and have a keen more »
using techniques such as Multi-Touch Attribution, Marketing Mix Modelling or similar would be highly desirable Knowledge of machine learning techniques such as Neural Nets, Random Forest or XgBoost and working with LLMs and associated techniques would be beneficial You are highly driven, dedicated, and have a keen more »
whilst supporting our employees. We are currently looking for a researcher in our Computing Research Group, working on exploring how the use Graph NeuralNetworks for healthcare related applications. We have a strong preference for the development of AI techniques that can be applied in the real … world and that directly contribute to social good. Your role will involve: The development of new state-of-the-art Graph NeuralNetwork techniques to be applied to large scale data coming from healthcare applications Implementation of these techniques into proof-of-concept code and demonstrations that more »
market data, driving business strategy and the design of our quantitative market making platform Use advanced statistical analysis and quantitative techniques such as neuralnetworks to build models that drive market making and risk management decisions in real time Be in the platform software development across a range more »
to solve real world financial problems Build/run in-house developed and third party ML models in production Deep learning research (Graph NeuralNetworks) Natural language processing (Semantic search, Generative LLMs) Datapoint extraction Develop novel methods to facilitate financial research from unstructured data. We are a research more »
Youll Be Doing: Designing and implementing logistics algorithms using Python, focusing on efficiency, scalability, and understanding business requirements. Build and integrate neuralnetwork models to forecast and enhance logistic operations. Maintain and improve existing logistic models, ensuring robustness and performance What Skills Do You Need to Succeed more »
and achieve acceptable performance. At Kumo, we are building a machine learning platform for data lakehouses, enabling data scientists to train powerful Graph Neural Net models directly on their relational data, with only a few lines of declarative syntax known as Predictive Query Language. The Kumo platform enables more »
top-tier conferences (e.g. NeurIPS, ICML, ICLR, AAAI, COLT) Experience with functional programming languages (e.g. Haskell, Idris, Scala) Deep expertise in neuralnetwork architectures and a strong interest in category theory or type theory Industrial or academic experience leading a research/technical team, and implementing novel more »
Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neuralnetworks for autonomous driving. You ll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine more »