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 »
to unlock valuable insights. Responsibilities Spearhead projects with cross functional leaders Use models like regression and propensity models, time-series, ensemble methods and neuralnetworks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data 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 »
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 »
selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering, linear programming. Experience with machine learning methods, such as regularization, random forests, neuralnetworks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity 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 internal projects Part of a team of 7 reporting to the Head of Data Science Chance to upskill and mentor more »
and industry-leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neuralnetworks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and more »
applications and projects - Proven work experience as a Gas Processing AI Engineer or in a similar role - Strong knowledge of machine learning algorithms, neuralnetworks, and deep learning frameworks (e.g., TensorFlow, PyTorch) - Strong knowledge of plant networks and infrastructure requirements to deploy and scale AI in gas plants more »
of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, Random Forest, NeuralNetwork or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of advanced quantitative analyses and more »
Role: Your day-to-day responsibilities will include: Deploying and productionising core segmentation, churn, and recommender system-based projects, alongside deep learning and neuralnetworks to support core clients Part of a team of 9 reporting to the Head of Data Science - working closely with a wider Engineering 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 clients Part of a team of 12 reporting to the Head of Data Science Chance to have 1 direct report more »
Strong Python skills and understanding of data science and machine learning concepts and algorithms such as clustering, regression, classification, forecasting/predictive analytics, neuralnetworks, hyperparameter tuning, NLP, and utilising LLMs. - **Communication:** Strong ability to communicate complex technical concepts to diverse audiences effectively. - **Management:** Previous line management experience. more »
generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest, XGBoost etc.- Basic understanding of Neuralnetwork and deep learning models). Possess experience with Machine learning/Pattern recognition areas. Should possess basic Data Engineering experience to ingest, cleanse and more »
web apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neuralnetworks, NLP, generative AI desirable Experience working at an investment management company Experience with manging Agile delivery, preferably Kanban and Scrum. Ability to communicate more »
in a collaborative and entrepreneurial environment with great opportunities for career progression. Responsibilities: Apply the rigorous scientific method and methods such as NLP, neuralnetworks and deep learning to develop sophisticated trading models across multiple asset classes that inform highly profitable trading strategies. Work with an elite group 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 »
Possess a strong foundational knowledge of AI, ML, and data science principles, including signal/pattern recognition, classification techniques, and deep neuralnetwork training. Have practical experience with various Data Science and ML frameworks or tools. Excellent verbal and written communication skills Proficient in using MS Office 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 »
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 »
City of London, London, United Kingdom Hybrid / WFH Options
Eligo Recruitment Ltd
an integral part of a growing team (20 to 40 people in 12 months!) Tech skills needed for this ML engineering role: Deep NeuralNetworks (DNN) Generative Adversarial Networks Deep Learning Define, evaluate and assess AI systems performance Explore and implement state-of-the-art algorithms to keep more »
Employment Type: Permanent
Salary: £80000 - £100000/annum Plus Bonus and benefits
academic publications Excellent written and verbal communication skills The following skills are optional but desirable: · Experience with Graph based algorithms such as Graph NeuralNetworks · Working with knowledge graphs and graph databases · Experience in a healthcare related field such as cell simulation, bio-informatics or genomics Achieve together more »
/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURALNETWORKS/CLOUD INFRASTRUCTURE/ARTIFICIAL INTELLIGENCE/INNOVATION/SECURITY CLEARANCE/DV CLEARED/SC CLEARED/SC CLEARANCE/SECURITY CLEARANCE more »
sport, animation tools and techniques. Relevant conference, journal, or other peer-reviewed output. Familiarity with GPU techniques for image processing and implementation of neural networks. Familiarity with C++. more »
PCA and clustering to glean real-time data from inline process measurements for enhanced process monitoring Developing soft sensors based on PLS and neural net models to predict slurry particle size and viscosity Implementing Bayesian methods and/or state-of-the-art methods for optimising the Design more »
of these areas). You will look at the latest development within ML and design and deliver these across ML and NeuralNetwork Methodologies. You will be involved in data analysis and statistical modelling. You will be writing high quality code and deploying these models both on more »