101 to 112 of 112 Neural Network Jobs in England

make digital capabilities available within the organisation. Predictive Modelling & Machine Learning: Applying techniques such as model predictive control, PCA, clustering, PLS, and neural networks to optimize formulation development and predict material properties. Soft Sensors & Real-Time Process Analytics: Developing soft sensors and edge-sensing solutions to monitor particle ...

make digital capabilities available within the organisation. Predictive Modelling & Machine Learning:Applying techniques such as model predictive control, PCA, clustering, PLS, and neural networks to optimize formulation development and predict material properties. Soft Sensors & Real-Time Process Analytics: Developing soft sensors and edge-sensing solutions to monitor particle ...

same entity can appear multiple times across different sources, often with slightly different attributes or descriptions. The platform uses a combination of neural networks and rule based systems to match records and build a reliable dataset over time. They are now hiring a Head of Data to take … Rationalising fragmented data across multiple systems Leading the full machine learning lifecycle from ingestion and feature engineering through to deployment Improving neural network and rule based matching systems used to identify the same entities across different sources Embedding robust MLOps and model monitoring Building a coherent data ...

full lifecycle from research through to production. Projects may include: Computer vision and pattern recognition systems Synthetic data generation and modelling Deep neural networks (DNNs) for real-world defence applications Simulation and AI-driven modelling environments Advanced research-led ML solutions You will collaborate with research scientists, software ...

used by leading global research institutions and industry innovators. Their multidisciplinary team is exploring new frontiers in generative modelling, hybrid neural network approaches, and advanced hardware accelerated ML. As a Machine Learning Research Engineer, you ll design and benchmark new algorithms, experiment with novel architectures, and contribute ...

used by leading global research institutions and industry innovators. Their multidisciplinary team is exploring new frontiers in generative modelling, hybrid neural network approaches, and advanced hardware‑accelerated ML. As a Machine Learning Research Engineer, you’ll design and benchmark new algorithms, experiment with novel architectures, and contribute ...

Intelligence, or a related field. Strong proficiency in Python with practical experience of PyTorch or TensorFlow. Working knowledge of implementing and optimising deep neural networks (e.g. CNNs, Transformers, GNNs) Hands-on experience with embedded C/C++ for model integration with an understanding of low-latency ...

cross-functional teams to identify challenges and implement innovative solutions tailored to the organization’s needs. Qualifications Strong expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills ...

related field Strong hands-on experience building, training, and scaling foundation models with modern ML tooling (PyTorch, Ray, JAX) Strong background in graph neural networks and transformer architectures Demonstrated ability to turn research ideas into robust, scalable implementations Comfortable owning whatever needs doing, from research prototypes to infrastructure ...

position in the team, and will be financially rewarded proportionally to your success About you: Highly numerate Comfortable with C++ (must) Experience with Neural Netwoks (must) Work well to tight deadlines Top grades Experience managing experiments/mathematical or statistical research involving rapid iteration. Full details are available. ...

results Optimise and fine-tune machine learning models for performance, scalability, and accuracy Lead our ‘AI Powered Education’ meet-up in London, building a network of ML specialists Essential skills 🙏 Experience leading and mentoring other ML engineers Complete end-to-end experience - from finding and cleaning data … building automated data pipelines Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak ...

Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining the speed advantages of neural networks. About You You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill … with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation. Highly Desirable: Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks. Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics. Engineering ...