201 to 225 of 255 Deep Learning Jobs

product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit … career and the solutions we deliver for our clients.As a Customer AI Developer Specialist, you will:Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models ...

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 ...

languages such as Python, TypeScript/JavaScript, Java, or C++.2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelinesFamiliarity with cloud-based machine learning tools and platforms (e.g. … Azure)Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasetsExcellent written and verbal communication skills to collaborate effectively in a cross-functional environmentNice to haves:Experience working at a startup, particularly as founding engineerExperience building and deploying large-scale AI solutionsStrong ...

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 ...

globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.You will join the quant team, designing, analysing and improving sport prediction models and high frequency trading strategies. You’ll be part … testing data.Quant Analysts Must Ideally Have:Comp Ski, Maths, Stats or Engineering degree.Outstanding background in probability and statisticsExperience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical modelsProgramming experience with python, julia or RYou will be joining a progressive and exciting ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance ...

Pattern:3 days per week in office Location: London, UK (Farringdon) Pay: 500 to 750 per day Inside IR35 Are you ready to dive deep into the world of data and transform complex business challenges into actionable insights? Our client, a leading organisation in the retail industry … wider community. What You Bring: Educational Background: A strong numerical degree in mathematics, science, engineering, or computer science. Technical Expertise: Extensive experience in machine learning, data mining, and programming (Python preferred). Problem-Solving Skills: A scientific mindset with the ability to ask and answer the right questions. Specialised ...

.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 ...

conceptualize, formulate, prototype and implement algorithms to capture customer behaviour and solve business problems.Ability communicating complex data science concepts.Practical experience developing and implementing machine learning on large data sets.Knowledge in mining large & complex data sets using SQL, Hadoop, NoSQL or SparkUnderstanding of statistical modelling techniques and the mathematical foundations … .Working knowledge cloud based and local data science frameworks and toolkits.Exposure to Agile methodologies and the hypothesis-driven approachHave a practical understanding of machine learning, Deep Learning.Strong experience with Time series forecasting (ARIMA, ETS, Prophet, TS pattern detection, and ML methods) Strong experience with Causal inference, Intervention analysis ...

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 ...

question to high-impact publication.Shaping the research agenda by identifying high-impact projects that balance scientific rigour with real-world relevance.Contributing thought leadership and deep technical expertise to support wider evaluation and red-teaming efforts.Supporting our positioning as a global leader through active external engagement with frontier labs … industry labs, or evaluation roles.Deep knowledge of language models and generative AI architectures, including white-box techniques beyond API-level access.Strong foundation in machine learning fundamentals, particularly in robustness, explainability, or uncertainty estimation.Proficiency with deep learning frameworks like PyTorch and the Python skills required to build robust ...

usYou hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).You can translate complex … concepts into practical product solutions and communicate these ideas clearly to non-technical peers.You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.You lead by example, writing clean, high-quality code and raising the team ...

model training. This isn't traditional DevOps. It isn't conventional MLOps. It's a rare opportunity to sit at the intersection of machine learning, distributed systems, cloud infrastructure and robotics. What you'll do:Design and own our large-scale AI training infrastructure.Scale distributed model training across hundreds … background, but titles matter less than experience. We're particularly interested in people with experience in:Large-scale distributed training.PyTorch and modern deep learning frameworks.Kubernetes, Slurm or GPU orchestration platforms.AWS and specialist GPU cloud providers.High-performance computing and distributed systems.Training optimisation, memory management and networking.MLOps tooling, CI/ ...

full model lifecycle, from data preparation through to production and you will translate research decisions into systems that set the direction for how machine learning operates across Klarna. You will be part of a small, high ownership team where what you build has genuine impact on the products Klarna … ships. Who you are Deep understanding of transformer architectures and sequence modelling, with the ability to reason through architectural tradeoffs Hands-on experience designing tokenisation schemes for heterogeneous feature types such as numerical, categorical, and temporal Proficiency in Python, PyTorch, SageMaker, and Airflow Experience owning the full model lifecycle ...

forwardRequired qualifications, capabilities, and skillsAdvanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etcRobust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in applicationExperience in tackling real world data science problems, end-to-end from prototype … production, using PythonExcellent communication skills (both verbal and written) and the ability to present findings to a non-technical audiencePassion for learning, sharing knowledge, building collaborations, and getting things donePreferred qualifications, capabilities, and skillsParticipation in KDD/Kaggle competition, Hackathons or contribution to GitHubYou demonstrate hands-on experience ...

bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.What excites youDriving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team.Mentoring a high-performing team and fostering a culture of technical excellence.Solving the complex, real-time challenges … navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership.Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus).Base salary range: 99,200 - 148,800 Base salary ranges ...

Senior AI/ML Engineer with strong MLOps and ML infrastructure experience for a highly technical AI organisation delivering advanced computer vision and machine learning technologies across Defence, Security and other high-performance environments. You’ll work alongside AI researchers, software engineers and technical leadership to take cutting-edge … machine learning research from R&D through to reliable, production-ready systems. The role offers the opportunity to work on challenging AI applications deployed across both large-scale cloud environments and edge platforms. What will the Senior MLOps Engineer be doing? You will design, build and maintain the infrastructure ...

discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries … strategies grounded in generative models. You'll be joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. The role exists to drive imaging data ...

understanding of platform, DevOps and systems engineering.They also value genuine technical curiosity. If you keep up with new technology, experiment with AI/deep learning or have side projects outside your day job, they’ll want to hear about them.A STEM background is beneficial, but not essential.Nice ...

Middle East. We focus on developing enterprise decision making systems that solve existing problems across a range of industries using advanced machine learning, reinforcement learning, and deep learning. Our expertise spans across research, product and solution development, allowing the whole end-to-end solution to be developed … software to support InstaDeep’s DeepChain platform as well as client projects in the domain of bioinformatics.ROLE RESPONSIBILITIES/ACCOUNTABILITIESImplement cutting-edge machine learning/optimization algorithms over healthcare data.Write high quality, reliable, scalable code integrating it neatly with - often Python based - machine learning/optimization frameworks.Manipulate ...

build and scale a national healthcare communication platform.As a Staff ML/AI Engineer, you'll operate across multiple product and platform teams - diving deep into selected ones to help them achieve great results with AI and ML. One key team you'll work closely with is our Triage … translating clinical and product objectives into capabilities with group-wide impact - and leading decisively when the path forward is unclear.You should apply if...You have deep expertise across a range of ML techniques (e.g. Transformer-based NLP, Deep Learning, Tree-based methods, Bayesian modelling) and the judgment ...

transparency. Our research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process … strategy and roadmap for Traffic Quality solutions, including invalid traffic detection, prevention, and measurement systems.- Drive technical innovation in fraud detection methodologies, leveraging machine learning, ad forensics and device attestation.- Lead cross-functional teams to develop and implement sophisticated invalid traffic detection mechanisms.- Define and oversee product metrics, focusing ...