D projects to drive step changes in the Stack’s capabilities longer term. The code frameworks you will work on include neuralnetwork execution engines, genetic algorithms and training frameworks. This dynamic role will require you to have a broad interest in and experience in software engineering … working collaboratively with other developers on innovative code bases.Experience of genetic algorithms, low level neuralnetwork execution and concepts such as neuroplasticity, recurrent neuralnetworks and reinforcement learning frameworks like OpenAI Gym would be a huge advantage. This role requires specific experience with Python and … discipline Strong experience with a statically typed language, preferably C, C++, or Rust Experience with genetic algorithms or neuroevolution Experience with neuralnetwork concepts such as neuroplasticity and recurrent neuralnetworks Experience of reinforcement learning frameworks like OpenAI Gym Experience with software optimisation or high More ❯
culham, south east england, united kingdom Hybrid / WFH Options
Luffy AI
D projects to drive step changes in the Stack’s capabilities longer term. The code frameworks you will work on include neuralnetwork execution engines, genetic algorithms and training frameworks. This dynamic role will require you to have a broad interest in and experience in software engineering … working collaboratively with other developers on innovative code bases.Experience of genetic algorithms, low level neuralnetwork execution and concepts such as neuroplasticity, recurrent neuralnetworks and reinforcement learning frameworks like OpenAI Gym would be a huge advantage. This role requires specific experience with Python and … discipline Strong experience with a statically typed language, preferably C, C++, or Rust Experience with genetic algorithms or neuroevolution Experience with neuralnetwork concepts such as neuroplasticity and recurrent neuralnetworks Experience of reinforcement learning frameworks like OpenAI Gym Experience with software optimisation or high More ❯
flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data sources and design methods for data … Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. NeuralNetwork Design: Design and optimize deep learning neuralnetworks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and … field. Experience with large language models (LLMs) and prompt engineering. Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python, R, or Java Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or More ❯
databases, including SQL (Oracle, Aurora), and Vector DB. Familiarity with version control systems such as Bitbucket and GitHub. Experience with graph analytics and neural networks. Experience working with engineering teams to operationalize machine learning models. Familiarity with the financial services industry. About the Team J.P. Morgan is a More ❯
Research, design, and implement state-of-the-art generative models (diffusion, auto-regressive, etc.) for high-quality image and video generation. - Optimize deep neuralnetworks for deployment on Neural Processing Units (NPUs), maximizing efficiency and performance. - Collaborate with cross-functional teams, including researchers, engineers, and product … developing and optimizing generative models, particularly diffusion and auto-regressive models, for image and video applications. - Strong track record of optimizing neuralnetwork architectures specifically for NPUs or other hardware accelerators. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Excellent analytical, communication, and collaborative More ❯
Research, design, and implement state-of-the-art generative models (diffusion, auto-regressive, etc.) for high-quality image and video generation. - Optimize deep neuralnetworks for deployment on Neural Processing Units (NPUs), maximizing efficiency and performance. - Collaborate with cross-functional teams, including researchers, engineers, and product … developing and optimizing generative models, particularly diffusion and auto-regressive models, for image and video applications. - Strong track record of optimizing neuralnetwork architectures specifically for NPUs or other hardware accelerators. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Excellent analytical, communication, and collaborative More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
NLP PEOPLE
strong knowledge of ML algorithms, ranging from classical techniques to deep learning methods. Proven experience in training, fine-tuning, and deploying neuralnetwork models using frameworks like PyTorch, with a focus on optimizing performance and scalability for real-world applications. Demonstrated ability to mentor and lead technical 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 neuralnetworks, recurrent neuralnetworks) - 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 neuralnetwork to reproducibly handle multi-omic data (genome, transcriptome . click apply for full job details More ❯
Stevenage, Hertfordshire, United Kingdom Hybrid / WFH Options
MBDA Miissle System
Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neuralnetworks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings More ❯
Nottingham, Nottinghamshire, East Midlands, United Kingdom
ETS Technical Selection
Delivering high-quality, specification-compliant code. Utilizing tools like OpenCV, TensorFlow, and other computer vision libraries. Applying knowledge of machine learning algorithms and neuralnetworks to enhance processing techniques. Producing high-quality design documentation that adheres to software standards for regulated industries. Demonstrating proficiency in computer vision, image More ❯
london, south east england, united kingdom Hybrid / WFH Options
GCS
Salary: £150-250k base + generous equity Are you excited to drive AI drug discovery forward by scaling SOTA models and optimizing neural nets on GPUs? Qualifications • Bachelor's/Master's or PhD in Computer Science, Engineering, or a related field • 5+ years of experience deploying 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 ❯
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 ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
Gerrard White
or home 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. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical More ❯
Delivering high-quality, specification-compliant code. Utilizing tools like OpenCV, TensorFlow, and other computer vision libraries. Applying knowledge of machine learning algorithms and neuralnetworks to enhance processing techniques. Producing high-quality design documentation that adheres to software standards for regulated industries. Demonstrating proficiency in computer vision, image More ❯
Hook, Hampshire, United Kingdom Hybrid / WFH Options
360 Resourcing Solutions
great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neuralnetworks, transfer learning, etc. While your focus will be primarily on the Valuations and Pricing Team you'll also work alongside your peers in 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 ❯
one hand, Bayesian learning provides a theoretically sound framework to formalise the estimation of the architecture and the parameters of deep neuralnetwork 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 neuralnetworks 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 neuralnetworks is not yet very well understood and its grounds must be laid out. Although the interaction between these two learning paradigms is relatively More ❯
Lancaster, Lancashire, United Kingdom Hybrid / WFH Options
Quantum Base Limited
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 neuralnetwork 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 ❯
Pricing is advantageous 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 ❯
Salford, Greater Manchester, North West, United Kingdom Hybrid / WFH Options
Gerrard White
Pricing is advantageous 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 ❯
including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with More ❯
including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with More ❯
Salford, Greater Manchester, North West, United Kingdom
Gerrard White
including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with More ❯
developing, evaluating, deploying, and updating data-driven models and analytical solutions for spoken language applications. Develop and apply statistical modeling methods (e.g., deep neuralnetworks), optimizations, and other ML techniques for various spoken language engineering applications. BASIC QUALIFICATIONS PhD, or a Master's degree with experience in CS More ❯