1 to 25 of 41 Neural Network Jobs in England

and Machine Learning technology. Compilers are used to ensure the most efficient code is running on highly multithreaded deeply pipelined acceleration engines for graphics, compute and neural network uses cases. We are seeking engineers with experience in areas of compilers, code generation and optimization. Expertise in using the LLVM compiler family is required. Experience in using GPUs … computation is a desirable skill, as is previous experience of GPU shader optimization. A strong understanding of the architectures of shader cores and/or hardware neural network accelerators is also a desirable skill. It is expected the successful candidate will have familiarity with one or more of standard shading and compute languages i.e. GLSL, HLSL, SPIR More ❯

ideally working with data engineering. Proficiency in statistical analysis, machine learning, and data mining techniques. A good understanding of key machine learning models, including Gradient Boosting Machines (GBMs), Neural Networks and Large language models (LLMs). Hands-on experience with popular machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Knowledge of AWS products and More ❯

design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing). Strong knowledge of various machine learning techniques (e.g., clustering, regression, decision trees, neural networks, etc.) and their real-world advantages and drawbacks. Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios. Proficiency in Python (for More ❯

experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow More ❯

experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow More ❯

experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow More ❯

experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow More ❯

experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow More ❯

guidance of senior AI engineers. Perform exploratory data analysis to identify patterns and trends. Document project milestones, coding progress, and learnings. Work with cutting-edge AI technologies like neural networks, natural language processing, and computer vision. Participate in regular team meetings and brainstorming sessions. Gain experience with popular AI/ML tools and frameworks such as Python, TensorFlow More ❯

experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in More ❯

experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in More ❯

science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering various factors like traffic conditions, weather, route efficiency, and historical performance. 2. Real-Time Data Integration: Incorporate real More ❯

Science Placement, you may be combining data and analytics with engineering or applications knowledge. We make extensive use of Machine Learning (ML) and Advanced Analytics including Computer Vision; Neural Networks; NLP and advanced statistics as well as working with varied and big datasets. GE Aerospace combines unrivalled strength in the Aviation domain with digital capability to provide business More ❯

environment. A background leading Data Science teams in an eCommerce or conversion rate optimisation-focused environment is a plus. Hands-on experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow. Competencies across core programming language including Python, Java, C/C++, R. That you can work in a cross-functional environment, managing More ❯

previous successes in designing and building advanced Machine Learning based systems for topics like personalisation, demand forecasting, workforce management, detection systems. We're talking about Deep Learning, Graph neural networks, transformers - you'll have space to design the architecture that will help us take our real time systems to the next level. As our most senior technical IC More ❯

Desirable Experience engaging in environmental campaigning or conservation/passion for environmental sustainability. Skills/Knowledge: Strong knowledge of machine learning, including time series forecasting, regression models, and neural networks. Experience with computer vision techniques, including image processing, object detection, and pattern recognition. Experience of designing, testing, and deploying machine learning models in a controlled environment. Understanding of More ❯

grow Experience Implementing machine learning in production using in-house or third-party data science platforms Building machine learning models; experience in Natural Language Processing, Time-Series prediction, Neural Networks and Recommendation Systems will be advantageous. You possess excellent communication skills, explaining complicated concepts to non-technical colleagues. Generating insights from complex data sources. More ❯

follow and promote best practices in these areas is essential. Essential Skills: Proficient in Python programming (2+ years' experience) Previous experience in the development and use of Convolution Neural Networks (CNN's) for machine vision and image analysis applications Previous development and fast prototyping experience in at one of following specializations of computer vision or machine learning: Object More ❯

develop cutting-edge pricing systems that process millions of prices daily. Our platform combines pricing strategies with advanced AI models, including Large Language Models (LLMs), GenAI and custom neural networks, to make real-time pricing decisions that directly impact our business and customers. Responsibilities Note: Responsibilities are aligned with the expectations of the role as described in the More ❯

develop cutting-edge pricing systems that process millions of prices daily. Our platform combines pricing strategies with advanced AI models, including Large Language Models (LLMs), GenAI and custom neural networks, to make real-time pricing decisions that directly impact our business and customers. Joining the Digital Pricing team means taking on a role where technical expertise meets real More ❯

direction locally while contributing to a global mission. The Tel Aviv team will play a key role in developing the Neuron compiler stack - translating high-level neural network models into high-performance execution on AWS custom hardware. Key job responsibilities The Team: As part of Amazon Annapurna Labs, the AWS Neuron team spans software, hardware, and silicon More ❯

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development More ❯

You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. **Please note, as projects are defence related, you will need to More ❯

and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science More ❯

and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science More ❯