51 to 75 of 83 Remote/Hybrid Deep Learning Jobs

Machine Learning & AI Materials Scientist, you will be a part of Dassault Systèmes Gen7 vision and actively contribute towards its implementation. Materials AI is a strategically important, rapidly growing, and evolving core technology that will underpin the future of all Dassault Systèmes brands materials-related products and services. Gen7 … openness, innovation, quality, and continuous improvement. Qualifications• PhD or Master in materials science, chemistry, mathematics, computer science or related fields. • Practical experience with deep learning and machine learning algorithms and the use of popular AI/ML frameworks. • Experience in coding (web, cloud, algorithms, industry processes...). ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking … Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers ...

What you will be doingWe are looking for an exceptional Principal Machine Learning Engineer to lead the engineering build-out of ML and agentic AI across our AML/KYC and Fraud platform. Our products use ML, LLMs and agentic systems to extract entities, risks and relationships from millions … emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customersAbout youAs a Principal Machine Learning Engineer with company-wide impact, you will bring:Substantial experience building, training and productionising machine learning models at scale, including modern deep ...

working from home and our offices. Talk to us about how we can best support you!We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science ...

team at Wise is dedicated to safeguarding our platform against financial crime, while ensuring seamless service for our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing AML detection systems which have evidenceable regional coverage … team.Our vision is:Build a globally scalable AML prevention and detection engine to maintain Wise as a secure environment for our legitimate customers.Utilise machine learning techniques to identify potential risks associated with customer activity.Foster a strong partnership between our AML investigators and the product team to develop solutions that ...

team at Wise is dedicated to safeguarding our platform against financial crime, while ensuring seamless service for our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing AML detection systems which have evidenceable regional coverage … vision is: Build a globally scalable AML prevention and detection engine to maintain Wise as a secure environment for our legitimate customers. Utilise machine learning techniques to identify potential risks associated with customer activity. Foster a strong partnership between our AML investigators and the product team to develop solutions ...

advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.Our name comes from the belief that there … critical model artifacts, and embed seamless security controls directly into distributed training and inference infrastructure. You will serve as the technical anchor bridging machine learning engineering, platform architecture, and adversarial defense.Operating in a fast-moving, high-stakes environment, you will lead AI-specific incident response and pioneer model-driven ...

core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.We … enable us to move to production fast, often shipping to beta in weeks after a successful offline test.We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test ...

AmplifyWe partner with business leaders to amplify impact and deliver measurable business outcomes with resilience and certainty - leveraging human experience, AI -powered insights, and deep industry expertise.Our consulting and advisory services support our customers confidently navigate a digital transformation journey to embrace a digital future beyond technology - delivering measurable … rapidly expanding and strategically important capability within Atos UK Consulting. This is a consulting‐led role for a senior data scientist who combines deep technical expertise with strong client‐facing skills, translating complex business challenges into secure, scalable, and responsible data‐ and AI‐driven solutions.The role suits individuals ...

hands-on leader, you’ll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration.What You’ll DoArchitect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)Design agentic workflows enabling AI agents … cloud-native AI deploymentExcellent communication, problem-solving, and project management skills in agile environmentsBonus Points ForExperience with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation ...

Lead AI Engineer you will architect AI solutions, embed them within enterprise environments and drive impactful outcomes through advanced engineering, scalable pipelines and deep cross-functional collaboration. This is a highly technical role where you'll be leading client projects, productionising systems and running multi-modal LLMs, using your … advanced stakeholder communication, problem-solving and project management skills in Agile environmentsExperience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniquesApply now to find out more about this Lead AI Engineer (Python ...

core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.We … enable us to move to production fast, often shipping to beta in weeks after a successful offline test.We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test ...

advanced stakeholder communication, problem-solving and project management skills in Agile environmentsExperience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniquesApply now to find out more about this Senior AI Engineer (Python ...

processes related to KYC (Know Your Customer) checks performed on consumers and businesses during onboarding. Within the team, our data scientists implement machine learning models and systems that support Document verification.We are looking for someone to own training, iteration, and management of our machine learning models’ life cycle … Actively participate in planning and ideation of data science projects in collaboration with integrated cross-functional teamsUncover opportunities and provide expertise on applying machine learning/data science techniques Clearly articulate the value, limitations, and potential impact of data science initiatives to stakeholders with diverse levels of understandingManage ...

What you'll be working on: You'll operate at the cutting edge of AI/ML, working across areas including: Computer Vision Reinforcement Learning Large Language Models (LLMs) Natural Language Processing (NLP) Deep Learning and advanced ML techniques Novel algorithm development and experimentation A key part … commercial experience in AI/ML R&D Strong Python development skills Experience in one or more of Computer Vision, NLP, LLMs or Reinforcement Learning A track record of developing novel AI/ML applications Experience adapting and applying academic research Strong software engineering fundamentals Experience working in Agile ...

improvement.This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape … products, services and decision making across our retail brands.You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes ...

Wise customers find the perfect products for their needs at exactly the right moment, while evolving your skills by owning production-level machine learning projects from end to end.This is an individual-contributor (IC) role — you'll own technical direction and delivery, not people management.Your mission: Wise has pioneered … currency balances if they hold FX, a current account if they use Wise for day to day banking. Your mission is to develop a learning system that recommends the right product, to the right customer, at the right moment — and measures whether it worked.Here ...

processes related to KYC (Know Your Customer) checks performed on consumers and businesses during onboarding. Within the team, our data scientists implement machine learning models and systems that support Document verification. We are looking for someone to own training, iteration, and management of our machine learning models’ life … participate in planning and ideation of data science projects in collaboration with integrated cross-functional teams Uncover opportunities and provide expertise on applying machine learning/data science techniques Clearly articulate the value, limitations, and potential impact of data science initiatives to stakeholders with diverse levels of understanding Manage ...

achievable improvements that get used every day.We’ll Count on You To:Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale websites and applications.Work as part … Owner and stakeholders to understand business needs, define and develop applications/architecture, design, review, implement and optimize Engineering processes.Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownershipMaintain and enhance microservices based components for the application suite.Recommend, create ...

achievable improvements that get used every day.We’ll Count on You To:Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale websites and applications.Work as part … Owner and stakeholders to understand business needs, define and develop applications/architecture, design, review, implement and optimize Engineering processes.Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownershipMaintain and enhance microservices based components for the application suite.Recommend, create ...

areas is of benefit:Image Processing Algorithms: Segmentation, Filter Design, Noise Removal, Compression, Super ResolutionComputer Vision Algorithms: Tracking, Optical Flow, Particle Filtering, Pose EstimationDeep Learning techniques: Detection, Classification, Tracking, Siamese NetworksInverse Problems/Computational Imaging: Sparse Coding, Compressive SensingMachine Learning: Support Vector Machines, Neural NetworksDomain Specific Signal Processing … Multi/Hyper-Spectral, RF, IR, SAR, STAPThe primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries).What’s in it for you Every day you will work in a friendly and motivated teamYou will play a key role ...

.000 € per year Requirements: Expertise in modern cloud/cloud-native architectures and a proven track record delivering production-grade AI/ML solutions (deep learning, generative AI) that solve real business problems. Hands-on experience designing scalable, production-ready AI systems and leading greenfield builds, migrations … management, guiding technical teams, driving multiple strategic initiatives autonomously. Strong analytical problem-solving capabilities, excellent composure and decision-making skills under pressure and ambiguity. Deep, up-to-date, hands-on knowledge of designing and deploying AI-first architectures and secure API integrations across multi-cloud solutions (especially Microsoft Azures ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial … communicate complex ideas clearly to senior client stakeholders Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities ...

operate at the cutting edge of AI/ML, working across areas including:Computer VisionReinforcement LearningLarge Language Models (LLMs)Natural Language Processing (NLP)Deep Learning and advanced ML techniquesNovel algorithm development and experimentationA key part of the role is taking academic research and state-of-the-art techniques ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive … offline models that improve data quality and coverage at scale.ð You should apply if:You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view ...