London, England, United Kingdom Hybrid / WFH Options
E.ON Next
consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neuralnetworks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »
We are looking for a goal oriented and driven AI/ML Engineers with relevant experiences. Key Responsibilities: NeuralNetwork Training : Develop and train advanced neuralnetwork models to meet specific functional requirements. Deployment and Integration : Efficiently deploy these neuralnetworks on … trends. Skills and Qualifications: Minimum 2 years of experience in building AI/ML software. Strong expertise in machine learning and neuralnetwork algorithms. Proficient in programming languages like Python, and frameworks such as TensorFlow or PyTorch. Experience with server deployment, cloud computing environments, and API development. 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 »
forefront of research in computer science, mathematical finance, and portfolio management. Exercise the freedom to explore and implement captivating ideas in machine learning, neuralnetworks, and mathematical finance. Immerse yourself in a meritocratic, collaborative, and entrepreneurial culture that promotes innovation and personal growth. Are you ready to revolutionize 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 »
Greater London, England, United Kingdom Hybrid / WFH Options
IC Resources
in all aspects of computer architecture relating to CPU's, GPU's and customer accelerators! My client also integrates advanced machine learning algorithms, neuralnetworks, and state-of-the-art deep learning techniques into modern blockchain grafts. What’s Required? For this ML/LLVM Compiler Engineer role more »
The Role: Your day-to-day responsibilities will include: Working on core segmentation, churn, and recommender system-based projects, alongside deep learning and neuralnetworks to support core clients Part of a team of 8 reporting to the Head of Data Science - working closely with a wider Engineering more »
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neuralnetworks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neuralnetworks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »
cluster computing and containerization Experience working in parallel/scalable languages such as Spark or Dask Experience working with knowledge graphs and graph neuralnetworks Biotech or biopharma experience, ideally within R&D Experience in a startup or scale-up environment Dewpoint Therapeutics is the first company founded 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 »
management skills, with a proven track record of delivering projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neuralnetworks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS more »
experience in configuring training and inference setups for open-source models. Proficiency with vector databases such as Milvus and Pinecone. Excellent understanding of neuralnetworks and advanced LLM architectures. Good experience in programming with languages such as Java, Python, or Go. 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 »
forefront of AI, is searching for a Deep learning Engineer to work on solving complex data challenges, with a particular focus on graph neuralnetworks (GNNs). The ideal Deep Learning Engineer will ideally have an expertise in in PyTorch and PyTorch Geometric (PyG). You will be more »
TW8, Brentford, Greater London, United Kingdom Hybrid / WFH Options
MFK Recruitment
client delivers systems that can perceive and understand the world with the same semantic richness as the human brain and using the same neural mechanisms they believe are at work in the brain. Their approaches are inspired by their recent advances in theoretical neuroscience, which are beginning to … how the brain makes sense of the world. The project team will work on the development of a novel enhanced convolutional neuralnetwork based on a proprietary approach already developed by the company. Applied Computer Vision Data Scientist - job responsibilities: Enhance our machine learning software with the …/computer vision algorithms. Apply existing knowledge of Transformers and CNNs, machine vision & image analysis techniques to the development of enhanced neuralnetwork systems based on our research outputs. Work to customise and implement our machine learning solutions for use by prestigious and demanding customers. Contribute to more »
to join a new and growing company working on Analog AI accelerator projects which utilises Analog processing-in-memory to expedite neuralnetwork workloads. Key Responsibilities will include: Design of RRAM-based computational memory arrays and sub-arrays. Working with system-level architects to ensure specifications are more »