276 to 300 of 505 Permanent Deep Learning Jobs

methodological experience in areas relevant to neuroanatomy and AI. This likely includes expertise in computational modelling, data integration across diverse biological datasets, machine learning or deep learning approaches, and quantitative analysis techniques. A strong record of research excellence and evidence of collaborative scientific work will position applicants ...

investigate how the spatial properties of coherent optical fields can be measured, predicted and controlled, combining experimental photonics with numerical modelling and modern machine-learning and optimisation techniques. The research will include coherent beam combination, programmable beam shaping, optical propagation modelling, experimental control of phase and amplitude … development of computational methods for optical inference and optimisation. Depending on the research direction, approaches may include deep learning, reinforcement learning, differentiable modelling and inverse design. You will implement and evaluate these methods using experimental optical systems and work towards their application in high-power fibre-laser ...

parts of that journey: clinical development. Trial design, patient selection, doseoptimisation, biomarker strategy, and safety evaluation each represent genuine opportunities where AI and machine learning can add rigour, speed, and precision — not as a replacement for clinical and statistical expertise, but as a powerful complement to it. We hold … innovative trial designs (FDA, EMA, MHRA). Evaluate and champion cutting-edge AI methodologies — including foundation models, agentic AI systems, generative patient models, multimodal learning, Bayesian inference, causal inference, and model calibration and domain adaptation — proposing fit-for-purpose approaches with robust evaluation criteria and risk assessment. Establish ...

will own the design, development, and delivery of AI solutions that address complex, high-value business problems across the enterprise. You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them … industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind ...

making. Accountabilities Customer Build trusted relationships with internal stakeholders to understand operational context and business priorities. Solve complex business problems using applied mathematics, machine learning, and statistical modelling. Own data science deliverables over the full life of data products, providing clear updates and presenting complex statistical outputs in accessible … manipulate, profile, and transform structured and unstructured data using state-of-the-art facilities in Google Cloud Platform. Design, build, test, and productionise machine learning models (e.g., sales and waste forecasting, customer segmentation, recommendation engines). Build feature sets and establish reusable data science pipelines and validation checks. Apply ...

looking for a Machine Learning Scientist to build AI and machine learning systems that turn complex biological data into actionable scientific insight. You will work at the intersection of ML, genomics, causal biology, and target discovery. The role includes building models, agentic AI workflows, systems that help automate … coding tools to accelerate development while keeping code reliable, readable, tested, and reproducible. Train and fine tune foundation models, language models, and representation learning methods for target discovery. Model relationships between genotype, cell state, perturbation response, causal biology, and disease. Collaborate closely with computational scientists, experimental biologists, software engineers ...

separate hobbies. Replace Stale Keywords With This Year's Work Python, SQL, Power BI/Tableau, Spark, Databricks, Snowflake, classical ML plus modern deep learning, NLP, Hugging Face-style LLM work, and cloud AI services. Projects sound like the current bar: LLM-assisted workflows, pipeline-backed models, dashboards … 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 ...

harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‐edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent ...

Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry‐leading language technology powering Rufus, our AI‐driven search and shopping assistant, helping customers with their shopping tasks at every step … their shopping journey. This innovative role focuses on developing conversation‐based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover ...

will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will … same.Responsibilities- Designing and implementing AI systems to transform raw data into actionable insights- Leading teams in the development of scalable machine learning models and solutions- Managing complex data analysis and integration to support AI-driven initiatives- Utilizing programming languages such as Python and Java to enhance AI model deployment ...

provide solutions; Present results to collaborators and leadership. Требования BSc or MSc in Computer Science, or equivalent industry experience; 3+ Years of machine learning experience; Experience working in research or experimental environments with evolving requirements; Proficiency with modern deep learning libraries and frameworks, including PyTorch and HuggingFace … meshes and B-Rep models; Experience working with diverse data representations, including 2D and 3D geometry; Experience with version control, reproducibility, and deploying machine learning models; Experience using modern AI/GenAI tools in development or experimentation workflows; Excellent written documentation skills; Nice to have: an advanced degree ...

dimensional datasets across therapeutic areas and development phases — including genomics, proteomics, imaging, and flow cytometry Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts Lead application of rigorous statistical approaches to clinical … strong track record of delivering impactful results in a pharma R&D context Significant experience leading the development and application of statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes Proven expertise in AI/ML and proficiency in Python ...

which eats their income unknowingly. Role Purpose In this role, you will take full ownership of the architecture, engineering, and deployment of machine learning models and artificial intelligence architectures across Ecofamilies. You will translate user behaviors, parenting journeys, and marketplace preferences into tailored, dynamic feed landscapes, semantic search algorithms … predictive recommendation layers, ensuring ethical execution and deep alignment with UK privacy regulations. What You'll Do Core Responsibilities AI Architecture & Personalisation Engine: Design, build, and maintain production-ready machine learning engines that drive product, directory, and content personalization arrays for our UK community base. Natural Language Processing ...

harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent ...

world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product … teams Participate in the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep ...

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. … 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 and measure ...

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 … group priorities. 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 ...

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 ...

should be building worlds, not chasing bugs. We're replacing manual QA with autonomous agents that truly understand gameplay. Our small, focused team combines deep machine learning research with strong commercial execution, driven to solve some of the hardest problems in game development. Just over a year … CLIP, Flamingo) from scratch or checkpoints. You know exactly what happens inside the transformer block. Build for the Real World You have successfully deployed deep learning models into production environments where latency and cost matter. You understand the brutal reality of trade-offs between model size and inference ...

grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design … industry experience in building or evaluating Generative AI models Experience in program/project management and team leadership Strong programming skills in Python and deep learning frameworks ( PyTorch , TensorFlow) Demonstrable knowledge of Responsible AI issues, trends, frameworks, and best practices Working knowledge of emerging AI regulatory and legal ...

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 … 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 ...

offices. Responsibilities 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 … customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent understanding of classical ...

proof-of-concepts Collaborate with business and technology teams to identify high-value use cases Drive innovation through experimentation, knowledge sharing, and continuous learning Help define best practices, technical standards, and reusable patterns for AI development across the organization Develop agentic AI workflows using orchestration frameworks such as LangChain … impact AI opportunities Stay up to date with advancements in AI, foundation models, and autonomous agents Требования 5+ Years of experience in AI, Machine Learning, Data Science, or related fields Strong Python skills and experience with PyTorch, TensorFlow, and Hugging Face Experience taking AI proof-of-concepts from idea ...

their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings and other advanced features … data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency ...

looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey.This innovative role focuses … developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences.Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping ...