101 to 108 of 108 Deep Learning Jobs in the UK

c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and … We are seeking a seasoned Software Development Manager who thrives on understanding the complexity of software systems, and brings a nuanced understanding of different aspects of technologies spanning machine learning, GenAI and big data processing. The candidate should be able to generalize platforms and services that can be applied to a wide variety of use cases enabling reuse and … our clients. Your strong management skills will be utilized to help deliver critical projects that meet various business and inter-org requirements. You are willing and able to get deep into the technical details, are proactive in removing roadblocks, pave the way for innovation, and can handle multiple competing priorities in a fast-paced environment. The successful candidate is More ❯

and play a significant role in developing next-generation core algorithms of the company. As our Research Scientist, you will help design, implement, and validate new computational and machine learning frameworks. You will work alongside our talented team of scientists and engineers to develop prototype and clinical software. In particular, you will: Shape our real-time surgical guidance technology … by developing state-of-the-art computational and machine learning methods for hyperspectral imaging data. Design and implement algorithms for hyperspectral image data processing, from low-level image reconstruction to deep learning-based tissue property estimation and semantic segmentation tasks to stereo vision reconstruction for multi-view surgical guidance. Contribute to the dissemination through patenting and clinical … a commercial medical device, we are excited to now place our patented technology into the hands of surgeons. We are building our company at the intersection of surgery, machine learning and interventional image computing for optical systems to increase surgical precision and patient safety. We are backed by a highly experienced syndicate of European and American HealthTech investors, including More ❯

the gap between marketing and technology, supporting the client in assessing, implementing, and optimizing marketing technology solutions to enhance our clients' marketing strategies and operations. This role requires a deep understanding of marketing technology landscapes, strong analytical skills, and the ability to collaborate with cross-functional teams. About the Role - Required skills and experience: 4-5 years in Digital … Marketing Technology: as a consultant, Technical BA or product owner. Deep understanding of MarTech landscape: Comprehensive knowledge of various marketing technology platforms like CRM, DAM, dynamic creative optimization (DCO), GenAI, Deep Learning, CDP, marketing automation tools, email marketing platforms, social media management tools, analytics platforms, etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data More ❯

GitHub Copilot for development. Ensure responsible AI practices aligned with NIST AI RMF , EU AI Act , and other ethical standards. Mentor junior developers and foster a culture of continuous learning and innovation. Skills & Experience 10+ years in software engineering, with strong experience building cloud-native or platform services using Microsoft and .NET . 4+ years in a Data Scientist … or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and deep learning. Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) , agent orchestration , prompt engineering , and tool calling . Familiarity with AI standards More ❯

largest and most respected names in a range of industries. Whether its supporting businesses with their remote workforce, transforming maritime companies with life-saving training simulators or implementing practical Deep Learning Systems into the businesses of tomorrow, theres no end to the amount of fascinating and cutting-edge projects that we are involved in (some of which we More ❯

largest and most respected names in a range of industries. Whether its supporting businesses with their remote workforce, transforming maritime companies with life-saving training simulators or implementing practical Deep Learning Systems into the businesses of tomorrow, theres no end to the amount of fascinating and cutting-edge projects that we are involved in (some of which we More ❯

largest and most respected names in a range of industries. Whether its supporting businesses with their remote workforce, transforming maritime companies with life-saving training simulators or implementing practical Deep Learning Systems into the businesses of tomorrow, theres no end to the amount of fascinating and cutting-edge projects that we are involved in (some of which we More ❯

data from our core technologies Collaborate with data scientists and engineers to integrate models into pipelines and tools. Stay current with academic and industry advances in temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth … knowledge of machine learning for time-series, including RNNs, LSTMs, GRUs, transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models). Experience designing or adapting dynamic programming algorithms. A graduate degree (PhD or MSc) in Computer Science, Mathematics, Physics, Bioinformatics, or a related field Ability to work in a research-style setting and translate ideas More ❯