1 to 12 of 12 Permanent Deep Learning Jobs in London with Remote Work Options

Salary: £50,000 - £70,000 We're looking for Research Engineers to work with a leading AI company renowned for its groundbreaking work in deep learning and Generative AI, particularly in healthcare and retail. About the Opportunity Join a team of top-tier Deep Learning experts … This company boasts a stellar research reputation, with numerous publications at prestigious conferences. As a Research Engineer, you'll collaborate globally to tackle complex deep learning challenges, focusing on graph neural networks and pioneering new foundation models in healthcare. The Impact Your research will directly contribute to real … world applications with a profound social impact in Healthcare, already benefiting millions of lives. Key Responsibilities Develop state-of-the-art deep learning and generative models. Write high-quality, production-ready code. Leverage your experience in deep learning from both industry and academic settings. Benefits Private more »

Machine Learning Engineer - MedTech - London - Hybrid Do you want to develop AI that prevents critical diseases as Machine Learning Engineer ? You can make a real difference in healthcare! A Machine Learning Engineer is needed to join a rapidly growing team at a leading MedTech firm. The company … specialises in AI-powered predictive analysis, developing groundbreaking tools to prevent critical diseases. In this Machine Learning Engineer role, you will: Build and deploy AI models to predict and prevent critical diseases Collaborate with engineers and scientists to develop cutting-edge solutions Continuously learn and implement state-of-the … the-art deep learning techniques Be an integral part of a growing team (20 to 40 people in 12 months!) Tech skills needed for this ML engineering role: Deep Neural Networks (DNN) Generative Adversarial Networks Deep Learning Define, evaluate and assess AI systems performance Explore more »

to contribute fully to our purpose. Reporting to the VP of Research, you’ll have the opportunity to work with state-of-the-art Deep Learning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you’ll make an impact: Take ownership of research … areas in computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company … quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and Deep Learning techniques to develop original solutions to world wide problems. We tend to look for people with: A Masters or more »

product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. … development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real more »

by applying your technical, analytical, and research skills. You will understand the underlying biology and engineering problems and follow the latest developments in machine learning and classical modelling algorithms to identify and harness the right technologies to solve the problems, improve the existing solutions and deploy them. You will … and maintenance for industrialised solutions. Keywords: Computational molecular Physics, Structural Biology, Computational Chemistry, Protein Interactions, Protein Design, Molecular Dynamics, Monte Carlo, Enhanced Sampling, Machine Learning, Deep Learning, Statistics, Data Science Responsibilities Design, implement and deliver complex pieces of research in the area of computational molecular physics/… biology. Implement and test pioneering enhanced sampling methods and free energy calculation techniques that leverage and supplement machine learning approaches. Communicate and collaborate with research engineers in a multi-functional team to integrate simulation-based solutions into drug discovery platforms and ensure they are robust, maintainable and easily used more »

generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest, XGBoost etc.- Basic understanding of Neural network and deep learning models). Possess experience with Machine learning/Pattern recognition areas. Should possess basic Data Engineering experience to ingest, cleanse and more »

Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape how humans and AI connect. What You'll Do … development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code reviews and team collaboration for continuous improvement. Experience Requirements: Advanced degree (Master’s or … PhD) in Computer Science, Engineering, or a related field. Over 3 years of experience in machine learning and computer vision, particularly with generative models. Strong Python skills and expertise in deep learning frameworks such as PyTorch. Familiarity with cloud tools like Docker and Azure. Experience with CI more »

equity This is an exciting new opportunity for a SLAM Computer Vision expert to join a DeepTech start-up! THE COMPANY This Deep-Tech start-up is going through a funding round and growing its company substantially. They specialize in leveraging advanced computer vision techniques to process and analyze … will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline. You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use. Drive the development of the cutting-edge 3D AI pipeline … leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing. Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance. Take ownership of project management for AI more »

be responsible for writing high-quality, maintainable, well-documented python codes. Keywords: Protein Structures, Computational Biology, Protein Design, Statistics, Data Analysis, Infectious Disease, Machine Learning Responsibilities Understand and process the data of different modalities (sequence, structures, experimental measurements) and curate them for data analysis and machine learning. Conduct rigorous … code in Python. Strong desire to work with biological applications. Excellent communication skills in English and collaborative spirit. Desirable Knowledge of current research in deep learning applied to biology. Experience working with large biological datasets, databases (PDB, Uniprot, etc.) and their API technologies. Demonstrated ability to contribute to more »

IVRs Jenkins other Cloud Platforms Skills that will help you in the role Some experience in applying a wide range of statistical and machine learning techniques e g hypothesis testing regression clustering decision trees machine learning models Experience of data driven storytelling Proven ability to explain data analysis … insights and capabilities to audiences with differing technical backgrounds Concepts of Deep Learning Knowledge of Devops Jenkins Kubernetes SonarQube Veracode CheckMarx Maven Gradle etc Knowledge of tools like JIRA Agile Central Service First etc About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to … 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. What We'll Offer You Professional development. Accelerated career progression. more »

Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may more »

InstaDeep is looking for a Research Scientist to join our team working at the intersection of machine learning (ML) and cryo-electron microscopy and tomography (Cryo-EM/ET). The determination and study of 3D molecular structures can offer fundamental insights into the mechanisms that govern most cellular … ET are powerful tools for determining high-resolution structures of biomolecules in near native state. As these imaging techniques generate significant raw data, machine learning has great potential to accelerate and improve many stages of the processing pipeline; from particle picking and annotation, to reconstruction of 3D electron density … to work in the location you are applying for. Responsibilities: Collaborate within in-house and external experts in computational and structural biology, and machine-learning, to implement, develop and test new technologies. Use established tools and databases to build, explore and analyse biological datasets and systems Contribute to the more »