76 to 100 of 122 Remote/Hybrid Deep Learning Jobs

metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms. … Demonstrated record of scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products. Deep practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS). ...

Summary The Senior Research Scientist sits on DeepHealth's ML Capabilities team and advances research in machine learning for medical imaging, with a focus on foundation models in radiology AI. This role designs novel model architectures, develops experimental systems to test research hypotheses, and helps translate research into solutions … Responsibilities Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme. Track and evaluate developments in machine learning and generative AI relevant to radiology and multimodal imaging. Design and prototype novel model architectures for multimodal medical imaging data. Develop experimental systems ...

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 ...

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 … oral presentation skills, that engages internal and external audiences 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 ...

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 ...

identify perception bottlenecks, prioritise improvements, and shape the roadmap for new capabilities You should apply if you Hold an MSc in computer science, machine learning, robotics, or a closely related field, with experience in designing, implementing, and thoroughly evaluating advanced AI-based systems. Have hands-on experience developing … benchmarks and understand what it takes to make visual perception reliable under real-world data distributions and deployment constraints. Are deeply familiar with modern deep learning architectures for visual perception, including convolutional and transformer-based models, and have applied techniques such as multi-task learning, domain adaptation ...

with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology … techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop ...

with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology … techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands‐on, research‐driven approach to develop ...

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 … 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 ...

opportunity to work at the heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank … England, such as generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation ...

opportunity to work at the heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank … England, such as generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation ...

technical skills to bring AI concepts from idea to real‐world demonstration, all while helping build AI capabilities among colleagues. Key Responsibilities Build deep technical and regulatory understanding of our cabin/seat electronic and data systems. Develop and test edge‐AI solutions that enhance passenger experience and advance … Degree (or equivalent experience) in Engineering, Computer Science, Data Science, Electronics, or similar (Essential) Proven experience designing, training, and deploying AI/ML models (deep learning/classical ML) on real‐world problems (Essential) Hands‐on skills integrating and deploying AI solutions on edge or resource‐constrained platforms ...

foundations, working directly with the CEO/CTO to formalise the platform's theoretical basis, review quantitative approaches, and co-author peer-reviewed papers. Deep fluency in linear algebra, vector spaces, statistics, probability, and AI is central to the role. This is a fractional advisory engagement at approximately … open questions, select methodologies, and position contributions within the existing literature. Engage with relevant prior work in areas such as knowledge graph embeddings, statistical learning theory, multi-criteria decision analysis, and AI safety. Required Skills & Experience Degree in Mathematics, Physics, or Computer Science at MSc or PhD level — with ...

technical position in assurance, security and enterprise architecture conversations proactively track industry trends, emerging tools and agentic engineering practice, and self-initiate the learning needed to apply them - trialling promising techniques and approaches in cooldown and sharing what works back into the harness, rules files and skills library. What … need We are looking for: deep, current full stack engineering capability with hands-on delivery in a CI/CD ecosystem using infrastructure as code approaches practical coding experience in Python and JavaScript/TypeScript, with enough fluency to workacross back-end services, front-end interfaces and automation scripting ...

technical position in assurance, security and enterprise architecture conversations proactively track industry trends, emerging tools and agentic engineering practice, and self-initiate the learning needed to apply them - trialling promising techniques and approaches in cooldown and sharing what works back into the harness, rules files and skills library. What … need We are looking for: deep, current full stack engineering capability with hands-on delivery in a CI/CD ecosystem using infrastructure as code approaches practical coding experience in Python and JavaScript/TypeScript, with enough fluency to workacross back-end services, front-end interfaces and automation scripting ...

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 the team's data science roadmap, lead and develop our data … scientists, and take responsibility for the impact and quality of our machine learning systems. You'll provide technical direction across the model lifecycle, from training and testing to production performance and further improvements to our KYC systems. Here's how you'll be contributing: Own the data science roadmap ...

water quality. This is an opportunity to work on a highly interdisciplinary research project with significant environmental and public-health impact, developing advanced machine-learning approaches to predict water-quality risks from complex environmental and spatio-temporal data. The project involves partners from Bangor University and the University … School. You will have a postgraduate-level qualification, equivalent qualification or experience in a relevant area such as Computer Science, Artificial Intelligence, Machine Learning or Data Science. You will have experience of independent research and developing machine-learning methods. You will be proactive and results-driven, with strong ...

physics and mechanistic interpretability. You’ll work with a small team conducting interdisciplinary research on synthetic data models, bridging the gap between theories of learning and practical AI interpretability tools. Strong candidates are motivated to contribute to AI safety and can collaborate effectively in a fully remote environment. Research … Scientist Must have PhD or equivalent research experience in a technical field such as math, physics, machine learning, neuroscience, computer science, or complexity science Ability to communicate complex, novel ideas to technical and non-technical audiences Working knowledge of neural networks and deep learning, including hands ...

deliver commercial value and improve customer health outcomes. Qualifications include a Master’s in a numerical field, hands-on experience with supervised, unsupervised and deep learning, and proficiency in Python and SQL. Cloud experience with Azure/Databricks is highly valued, as is responsible AI. #J-18808-Ljbffr ...

deliver commercial value and improve customer health outcomes. Qualifications include a Master’s in a numerical field, hands-on experience with supervised, unsupervised and deep learning, and proficiency in Python and SQL. Cloud experience with Azure/Databricks is highly valued, as is responsible AI. #J-18808-Ljbffr ...

deliver commercial value and improve customer health outcomes. Qualifications include a Master’s in a numerical field, hands-on experience with supervised, unsupervised and deep learning, and proficiency in Python and SQL. Cloud experience with Azure/Databricks is highly valued, as is responsible AI. #J-18808-Ljbffr ...

science, artificial intelligence, medical image analysis, biomedical engineering, applied mathematics or a related discipline. You will have strong Python programming skills, practical experience in deep learning, and the ability to design and critically evaluate AI methods. Experience with multimodal learning, large language models, AI agents or medical ...

responsibility for our production code We each set our own routine to maximize our productivity Your mission You’ll join us as a Machine Learning Engineer/Data Scientist for Mimica’s Data Intelligence team, whose goal is to transform raw recorded data into clean, structured, anonymized data that … Primarily, we’re looking for an individual with an experiment- and data-driven researcher mindset with good coding habits. This includes: Solid machine learning/data science background : you understand experimental design, data splits, metrics, bias, and statistical significance, and you know when a result is real. Hands ...

time in understanding the architecture and domain before making changes to the most critical components. Were looking for someone who enjoys that kind of deep learning and is keen to build long-term expertise that enables them to take on greater ownership and impact. Good team player Autonomous ...

succeed Build a healthy, inclusive team culture; spot and resolve conflict, burnout and performance issues early and fairly Build a culture of continuous learning: encourage teams to try things and fail fast, and make sure every failure is reviewed openly so the learning is shared and acted … tools in their work, with defect and rework rates holding steady or improving, and human review in place for AI‐assisted output Continuous learning: every significant incident, missed commitment or failed experiment has a blameless review with actions completed on time, and learnings shared across teams and with ...