1 to 25 of 30 Neural Network Jobs in the UK excluding London

/ML Engineers We are looking for a goal oriented and driven AI/ML Engineers with relevant experiences. Key Responsibilities: Neural Network Training: Develop and train advanced neural network models to meet specific functional requirements. Deployment and Integration: Efficiently deploy these neural … trends. Skills and Qualifications: Minimum 4 years of experience in building AI/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and More ❯

new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and … Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the … on API Integration and cloud environment (AWS,GCP,AZURE). In-depth knowledge of machine learning algorithms, deep learning techniques, and neural network architectures. Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders. Set yourself apart: Willingness and ability to learn More ❯

Theory Strong knowledge of Python & SQL Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain) Experience serving Neural Networks in production (PyTorch, ONNX, TorchServe, Triton) Experience developing & maintaining production ML services Experience with ad-hoc analytics, data visualisation, and BI tools (Superset More ❯

new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and … Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, etc. Must demonstrate the capacity of reading … on API Integration and cloud environment (AWS, GCP, AZURE). In-depth knowledge of machine learning algorithms, deep learning techniques, and neural network architectures. Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders. Set yourself apart: Willingness and ability to learn More ❯

numerous and complex variables - Essential Experience in applying machine learning solutions for genomics investigations - Essential Requirement: Experience using machine learning applications (e.g. convolutional neural networks, recurrent neural networks) - Essential Experience of working on externally funded projects - Essential Experience with next generation sequencing (RNA-Seq, DNA-Seq … based on integration of multi-omic data (genome, transcriptome, epigenome) and integrate this novel information in the development of tissue/condition specific regulatory network, with the aim of prioritising variants occurring within those regions based on their predicted impact. They will also lead on the analysis, preparation, and … submission of the associated manuscripts. The successful candidate will develop computational pipelines centered on machine learning applications such as convolutional neural network to reproducibly handle multi-omic data (genome, transcriptome . click apply for full job details More ❯

Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and More ❯

and deployment of machine learning models into production. Proven experience with statistical methods and data science techniques: Generalised Linear Models, Gradient Boosting Algorithms, Neural Networks etc. Strong ability in writing complex SQL queries to analyse large datasets. Strong ability and experience in using Python for analytical purposes. Excellent More ❯

and deployment of machine learning models into production. Proven experience with statistical methods and data science techniques: Generalised Linear Models, Gradient Boosting Algorithms, Neural Networks etc. Strong ability in writing complex SQL queries to analyse large datasets. Strong ability and experience in using Python for analytical purposes. Excellent More ❯

Vision, Deep Learning, Machine Learning, AI, or NLP. * Strong mathematical and analytical skills, including knowledge of statistics and probability. * Experience with neural network architecture and deep learning techniques. * Proficiency in programming languages such as Python and Java. * Familiarity with big data and distributed computing. * Ability to explore More ❯

Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings More ❯

other container languages A passion for applying tech to solve healthcare challenges. Non-essential skills/nice to have: Experience or understanding of Neural Networks Experience with Biotechnology/Bioinformatics Familiarity with AWS, Kubernetes, or RESTful APIs. Exposure to regulated medical software environments. If you are interested, please More ❯

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 More ❯

Delivering high-quality, specification-compliant code. Utilizing tools like OpenCV, TensorFlow, and other computer vision libraries. Applying knowledge of machine learning algorithms and neural networks to enhance processing techniques. Producing high-quality design documentation that adheres to software standards for regulated industries. Demonstrating proficiency in computer vision, image More ❯

and deployment of machine learning models into production. Proven experience with statistical methods and data science techniques: Generalised Linear Models, Gradient Boosting Algorithms, Neural Networks etc. Proficiency in writing complex SQL queries to analyse large datasets. Strong ability and experience in using Python for analytical purposes. Excellent communication More ❯

and deployment of machine learning models into production. Proven experience with statistical methods and data science techniques: Generalised Linear Models, Gradient Boosting Algorithms, Neural Networks etc. Proficiency in writing complex SQL queries to analyse large datasets. Strong ability and experience in using Python for analytical purposes. Excellent communication More ❯

one hand, Bayesian learning provides a theoretically sound framework to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution … approximations. State of the Art The field of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models … uncertainty, and it is one of the cornerstones of modern machine learning. At the same time, the theory at the basis of deep neural networks is not yet very well understood and its grounds must be laid out. Although the interaction between these two learning paradigms is relatively More ❯

Python and potentially R. Expertise with relevant ML frameworks (e.g., scikit-learn, PyTorch). Experience with recommendation systems, collaborative filtering, and ideally Graph Neural Networks (GNNs). Proficient with SQL and working with large datasets (e.g., GCP BigQuery). Experience with cloud platforms (specifically GCP) and CI/… skills and ability to quickly adapt to new model types and requirements. Strong communication and stakeholder management skills. Expertise in advanced neural network architectures (Autoencoders, Transformers). Ability to rapidly acquire complex domain knowledge. More ❯

privacy services. Databricks and PySpark Analysing blockchain data Building and maintaining data pipelines Deploying machine learning models Use of graph analytics and graph neural networks If this sounds like you then please do reach out and let's have a chat More ❯

roles, supported by tailored mentoring and professional training opportunities. You will be encouraged to actively engage in industry and academic events, expanding your professional network and visibility within the quantum technology community. Our collaborative environment ensures that your contributions are recognised and that your career grows alongside our innovative … in cross-functional teams and handing off algorithms to software development teams. Nice to have experience Experience in machine learning, particularly neural network approaches to optical data analysis. Knowledge of anti-counterfeiting technologies or authentication processes. Benefits We are always listening to our team and evolving the More ❯

great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. While your focus will be primarily on the Valuations and Pricing Team you'll also work alongside your peers in More ❯

reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. Interview More ❯

meet their needs. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Advanced statistics and experience operationalising academic research. Security clearance: You must be able to gain More ❯

predictive modelling techniques such as Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines, and Neural Nets. Skilled in programming languages (e.g., R, Matlab, Python, or Octave). Knowledge and/or experience in Price Optimisation. Proven ability to use More ❯

machine learning Ideally, you will also have: Experience in molecular simulation, cheminformatics or bioinformatics Experience with advanced machine learning methods (generative modelling, graph neural networks) Not sure if you meet the requirements? We recognise that great candidates come from different backgrounds, and we would love to hear from More ❯

ARM (Cortex-M and -A) is the main target. We work on new technologies like AI IoT devices with TensorFlow Lite Micro for neural networks. We have some work in quality controlled industries, like medical and intrinsic safety (SIL/IEC61508/ISO13485). Not all work is More ❯