76 to 100 of 273 Deep Learning Jobs in England

world? This is a unique opportunity that combines the ability to build exciting, new user experiences for Amazon's customers, with the opportunity to work with Big Data, Machine Learning, and other advanced techniques to provide the best personalized experience for hundreds of millions of Amazon's customers. More about the role: Our organization is growing our focus on … an Amazon-critical charter. This team will need to deliver experiences that delight customers and create long-term value for the company. This role requires good technical skills, a deep understanding of machine learning approaches, and a passion for melding ML with great user experience/design. You must have a demonstrated ability for optimizing, developing, launching, and … production systems. As a key member of the team, you will oversee all aspects of the software lifecycle: design, experimentation, implementation, and testing. You should be willing to dive deep when needed, move rapidly with a bias for action, and get things done. You should have an entrepreneurial spirit, love autonomy, know how to deliver, and long for the More ❯

Senior Machine Learning Scientist page is loaded Senior Machine Learning Scientist Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 10 Days Ago job requisition id JR4917 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of … need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Senior Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping … build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop. As a senior member of the team, you will be expected to take ownership of high-impact projects, lead technical direction on core modelling efforts, and mentor others while More ❯

using traditional models and Generative AI - particularly in using open source models for achieving business outcomes. YOUR PROFILE Experience delivering to production in python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV … end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Get the future you want | www.capgemini.com More ❯

Senior Machine Learning Scientist page is loaded Senior Machine Learning Scientist Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 10 Days Ago job requisition id JR4917 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of … complete the application to adjustments@depop.com . For any other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Senior Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping … build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop. As a senior member of the team, you will be expected to take ownership of high-impact projects, lead technical direction on core modelling efforts, and mentor others while More ❯

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount growth this year to over 1000 which includes a … increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely pod … based, a rare find for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join More ❯

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount growth this year to over 1000 which includes a … increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely pod … based, a rare find for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join More ❯

through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will … of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in … simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want More ❯

behavior. Technical Skills & Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI agent More ❯

Data Engineering (DE) team and work on solving problems! We are a team of DEs who support Applied Scientists, Data Scientists, and Economists in experimenting, researching, and transforming machine learning, deep learning, and AI research into innovative products for our customers. ISS is seeking a smart, highly motivated, and experienced Data Engineer to join our team. In More ❯

a leadership role, with a proven track record of translating scientific research into practical applications and strategic recommendations in a healthcare setting. - Strong understanding of various AI techniques (machine learning, deep learning, natural language processing, computer vision, etc.). - Demonstrated experience in translating research insights into practical applications with measurable real-world impact. - Excellent communication and presentation More ❯

a leadership role, with a proven track record of translating scientific research into practical applications and strategic recommendations in a healthcare setting. - Strong understanding of various AI techniques (machine learning, deep learning, natural language processing, computer vision, etc.). - Demonstrated experience in translating research insights into practical applications with measurable real-world impact. - Excellent communication and presentation More ❯

are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Responsibilities Optimize the performance of Deep Learning training workload on NVIDIA GPU systems on a large scale Optimize the latency of model inference and model pre- and post-processing on onboard systems Design, train … and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data Qualifications PhD in CS/CE/EE, or equivalent, in industry experience Deep knowledge of PyTorch Knowledge of model training framework (e.g. PyTorch Lightning, ray, etc.) In-depth knowledge of transformer architecture and ways to accelerate the training and More ❯

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working … as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. … Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we More ❯

Research Engineer: Graph Machine Learning Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and commercialization company we are deploying our products in a number … of our approach from proactive shopping assistance, to personal teachers to healthcare concierges and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph Exploration using Reinforcement Learning Human experts … explore structured mental models in their heads to solve open-ended problems across different domains. Our research seeks to emulate this process through a novel combination of using reinforcement learning agents to perform exploration through a knowledge graph. Knowledge graphs allow us to represent structured information and the logical relations that govern it, unlocking the ability to build reinforcement More ❯

any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're looking for an Engineering Manager to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You'll drive game-changing initiatives that use cutting-edge computer vision and … deep learning at scale to shape the future of sports, from professional teams to local high schools. At Hudl, Engineering Managers: Deliver for customers. You'll independently manage your multidisciplinary team of 5 to 10 Engineers and Data Scientists, ensuring quarterly and annual goals are met while supporting their efforts to deliver high-impact results for customers and … monitored complex AI/ML models and systems in production at scale. Strong technical proficiency. You have extensive experience in several of the following areas: machine vision (classical and deep learning), multi-view geometry, GPU accelerators, inference on edge devices, LLM's models, real-time systems, and signal processing. Communication skills. You have excellent verbal and written communication More ❯

AI agents similar to MLEBench and BFCL. Qualifications: Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure More ❯

segmentation, and tracking. You will be working in an environment that values technical depth, rigorous research, and practical application of cutting-edge ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern … data science techniques to evaluate and refine models. Contributing to a collaborative research culture, sharing insights and results with peers. Key experience needed: Proven experience in optimising and deploying deep learning models at scale. Expertise in OpenCV and classical computer vision approaches. Strong knowledge of CNN building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset … curation and management for machine learning pipelines. A data-driven approach with excellent skills in metrics and statistical analysis. Passionate about applying computer vision research to solve complex, real-world problems. The role is offering a base salary of £70,000 per annum + a wealth of benefits, including a bonus of up to 100%. This is a More ❯

met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading … performance across research and production settings. • Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications. What We're Looking For • Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants). • Strong understanding of how architectures interact with … different use cases and modalities (e.g., vision, audio, text). • Familiarity with generative modeling paradigms like autoregressive and diffusion models, and designing capabilities such as statefulness and conditioning in deep learning models. • A proven research track record in top-tier ML/AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) or demonstrable contributions to state-of-the-art architectures. More ❯

quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team. Join our team Are you passionate about Machine Learning? Join our DnAI team at GoDaddy as a Senior Machine Learning Scientist and help make a difference for small businesses! We contribute to innovative machine learning models … of brand new ML technologies to maintain our competitive edge in the industry. Your experience should include 4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles. Proficient in Python programming language. Solid understanding of machine learning algorithms, tools, and techniques, such as supervised. and unsupervised learning, transformer models, deep learning, computer vision, natural language processing, etc. Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Ability to work independently and collaboratively with multi-functional teams with excellent communication and presentation skills. Experience in writing unit tests and documentation for ML code. Familiarity with software engineering standard methodologies, such as version control, code More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI … systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement learning for … agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics. You may be More ❯

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 … a great shopping experience every time. That's where you can help. We believe in "Work Hard. Have Fun. Make History" value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep … ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Application Engineer (AE More ❯

python/PHP SW stack. * Assemble high quality prompts to create company internal benchmarks for AI agents similar to MLEBench and BFCL. Qualifications: * Research or prototyping experience in machine learning, deep learning, and/or natural language processing. * Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. * Exposure More ❯

python/PHP SW stack. Assemble high quality prompts to create company internal benchmarks for AI agents similar to MLEBench and BFCL. Qualifications: Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure More ❯

the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders … working relationships with stakeholders to deliver joint messaging and GTM plans. -You also have experience creating compelling product and product-related thought leadership content to support customers on their learning journey and for Growth/Demand marketing to use for audience, use case, or vertical-specific campaigns. -5+ years of product marketing experience at an enterprise software company … in early-stage AI startups -Excellent writing skills for succinct messaging targeting AI/ML engineers and AI executivesAbility to thrive in a fast-paced, dynamic, team-oriented environment -Deep understanding of Data and AI spaceExperience building compelling technical and business content -Works collaboratively with sales, growth marketing, and product teams -Comfortable owning and running direct customer engagements -Strong More ❯

know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos As a Machine Learning Engineer, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology. We are looking for a hands-on, senior level creative … rigor, and integrity. Responsibilities - Partner with world-class scientists across Altos to help generate biological insights with the goal of developing novel therapies; Design and implement large-scale machine learning algorithms and systems applied to biological datasets; Train, evaluate, and optimize machine learning models at scale; Communicate effectively with internal and external collaborators to meet ambitious research and … development goals. Who You Are - Proven track record leveraging machine learning to solve real-world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks More ❯