101 to 125 of 132 Deep Learning Jobs

quantitative academic role, underpinned by high mathematical and statistical competence.You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch).You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model … know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual ...

Work itself: \n \n \n Build Agentic Solutions using world's most advanced LLM models from Anthropic, OpenAI and others \n \n Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ TPS and for peta bytes of Data. … operations flows in diverse agile squads \n \n Opportunities to make a difference on a global or local scale through mentorship and continued learning and experiments. \n\n \n Essential Functions: \n \n \n Demonstrates in-depth technical proficiency to accurately interpret and address project requirements. \n \n Identifies ...

client collaboration, crafted for someone eager to learn fast and contribute to impactful projects. Around six hours per week are protected for apprenticeship learning, applied directly to the work you do with us. Responsibilities: AI & cloud engineering: assist in the design, development and deployment of production generative … calls, demos and project check-ins. Our engineers are customer-facing, so you will learn to communicate technical work clearly to non-technical audiences Learning & development: complete your apprenticeship modules (building with GenAI, optimising business processes with AI, AI security and ethics, deep learning and transformers, testing ...

looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java/Full stack/Devops and Data Science/Data Engineers/Data analysts …/BI Analysts/Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with ...

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 ...

Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs … graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

adopt AIConduct live AI demonstrations that showcase how our technology conducts intelligent, adaptive interviews - not scripted questionnairesArticulate the AI advantage - explain how our deep learning models, natural language processing, and adaptive algorithms deliver better hiring outcomes.Manage the full sales cycle from initial contact through close for small … next decade of enterprise softwareAccelerated career growth - high performers advance quickly; we promote from withinWorld-class training - comprehensive onboarding on AI fundamentals, product deep-dives, and sales methodologyCollaborative, in-office culture - learn from peers, participate in live demos, and build relationships in our Santa Clara officeCompetitive compensation - base salary ...

invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars … from the crowd:Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures.LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture.Architecture & Design: Demonstrated understanding in the designing and architecting of comprehensive compiler ...

kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experienceMust have two or more years work experience building deep learning systems, for any domain: robotics, biology, chemistry, physics, audio, video, recommendations, etc.Experience translating methods between areas of application is highly valuedLLM experience ...

from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.QualificationsMust have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc.Experience translating methods between areas of application is highly valued.LLM experience ...

designing or operating agent-based automation for CI, QA, or code-generation workflowsBackground in Rust or another systems language; interest in ML/applied deep learningContributions to open-source Python or CLI toolingAdditionally, this position is eligible for benefits including, but not limited to, medical, dental, vision, retirement benefits ...

well-funded, high-growth UK deep-tech organisation is seeking a Principal AI Architect to lead a flagship initiative focused on next-generation AI compute infrastructure. The company collaborates with major industry partners, research institutions, and public bodies to accelerate large-scale AI deployment. As models scale rapidly, understanding … long-term technical roadmap for an enterprise-grade performance modeling platform Systems Integration: Bridge the gap between semiconductor hardware engineering, systems software, and deep learning model workloads Engineering Standards: Establish validation methodologies and high-performance engineering standards across multiple technical teams Executive Liaison: Serve as the chief technical ...

invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars ...

Datadog and PagerDuty Built on a foundation of open source — the team maintains a widely-used community observability tool Leadership includes former builders of deep learning infrastructure, autonomous drone systems, ridesharing marketplaces, and ad tech at scale A genuinely global remote-first culture, with hubs in New York ...