126 to 150 of 459 Deep Learning Jobs

Training frameworks (mainly TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe) Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch) Experience … your career with us! Desirable Experience working on OTT platforms Experience in Scala What the job involves Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis Data Pipeline Engineering: Construct and maintain robust and scalable ...

nature is valued in real‐world decision‐making, we’d love to hear from you. Role Purpose & Responsibilities We are hiring a Machine Learning Scientist to contribute to the development of models – from classical statistics and gradient‐boosted methods through to deep learning when warranted – that turn … Must‐have requirements Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine‐learning experience, including time spent in an industry, product, or startup setting (shipping models). Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL ...

hire that takes it to the next level and scales it into a team. You will own the entire model stack: building custom deep-learning models and training and fine-tuning our own large language models to outperform off-the-shelf commercial models on our mission, using … development. Evaluate emerging AI technologies and frameworks to continuously refine and enhance our LLM approaches. PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Extensive research experience in large language models, natural language processing, or related AI domains. Proven track record of publishing ...

failure modes and retraining criteria Stay current with advances in ML engineering, distributed training and biomedical AI tooling Required Qualifications Postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; PhD preferred or MSc with equivalent industry experience Hands-on experience with deep learning … what is required to move from research prototypes to reliable deployment Experience collaborating with researchers during the implementation process Proficiency in Python and deep learning frameworks such as PyTorch Strong software engineering fundamentals such as writing clean, testable, well-documented and maintainable code, version control, code reviews Working ...

failure modes and retraining criteria Stay current with advances in ML engineering, distributed training and biomedical AI tooling Required Qualifications Postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; PhD preferred or MSc with the equivalent industry experience Solid hands-on experience with deep learning and foundation model implementations such as transformers, pre-training, fine-tuning, ideally at scale Demonstrated experience delivering production-quality model artefacts, with a strong sense of what's required to move from research prototypes to reliable deployment Experience working in close partnership with researchers throughout the implementation ...

days onsite) | BPSS Required We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity to work with large datasets, cutting-edge ML technologies, and cross-functional teams to build … impactful customer-facing products. Key Responsibilities Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support feature engineering, model training and deployment across large structured and unstructured datasets. Deploy, monitor ...

entity recognition. Optimize existing online algorithms, develop efficient and reliable NLP solutions by combining business needs and data. Explore applications of NLP techniques and deep learning algorithms in games. Follow the latest developments in academia and industry and quickly apply findings in your work. Qualifications Familiar with … fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects. Proficient in at least one programming language, familiar with basic data structures and algorithms. Practical experience working with large language models (e.g., DeepSeel, Qwen, LLaMA), including model fine-tuning, instruction ...

deeply technical, hands-on role - you will spendthe majority ofyour time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns,evaluatingand benchmarking … will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead ...

deeply technical, hands-on role you will spendthe majority ofyour time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns,evaluatingand benchmarking … will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead ...

strategic decision-making? Join Novo Nordisk as a Data Science Specialist and help drive critical early R&D decisions by applying advanced analytics, machine learning, causal inference and AI to some of the most important questions in drug discovery and development. Your new role As a Data Science Specialist … data science projects that support preclinical and early development decision-making. Developing and implementing analytical and agenticAI approaches across causal inference, statistical modelling, machine learning, deep learning and multimodal data analysis. Translating biological, clinical and portfolio questions into executable analysis plans and actionable evidence. Driving scientific quality ...

passion for insights and personalisation. The Opportunity: The role will work with our product, engineering and customer success teams. It requires direct expertise with deep learning statistical models that power AI, such as Transformers, and is focused on providing the quality of predictive and prescriptive insight that … Behavioural AI model research and development Key Responsibilities: Design and build core behavioural models as tooling for our behavioural AI product, using bleeding edge deep learning techniques Developing client prototypes of new behavioural insight to prove value and then push upstream into our core capabilities where appropriate Ideate ...

integration into other systems while providing feedback to continue to evolve the AI platform. The ideal candidate will have a strong background in machine learning, data analysis, and software development.The rolewillbe responsible fordesigning, developing, and implementing AI solutions to solve complex problems and enhance our products andservicesresulting in improved … scalable architecture and alignment with best practices, whilst assessing the viability and business value for the firm. What you will have Experience in machine learning, deep learning, and AI model development Proficiencyin programming languages such as Python, R, or C-Sharp. Experience with AI frameworks and libraries ...

Overview Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. … relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days ...

backtest new predictive signals. Building world-class research tooling to speed up Algo Developers’ research iteration. Aiding the development and deployment of very large deep learning models for HRT’s live trading. Improving HRT’s monetization systems which turn our predictions into profitable trades. Evaluating sim vs. live … issues across distributed systems in a time-sensitive environment. Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies. Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms ...

Leaning Engineer £735 per day – Inside IR35 London/2 days a week on site 2 years Key Responsibilities Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable …/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential ...

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our Hyperscaler partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive …/Computer Engineering, Physics, Mathematics, other Engineering fields A proven track record of academic and/or industry experience in fields related to machine learning, deep learning and/or data science You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales ...

data generation company discovering the next generation of proximity therapeutics by making protein interactions programmable. Our platform brings together foundation-model machine learning, a scalable data generation engine, and a partnership track record exceeding $5B in collaborations across the world's leading biopharma and tech organizations. We've recently … happen. Come join us. What you'll do Profile and optimize training and inference for structural and generative models, including transformers, diffusion, and geometric deep learning Write and tune custom kernels (CUDA, Triton) and use compilers (torch.compile, TensorRT, XLA) when beneficial Scale distributed training across 32-64 nodes ...

passion for insights and personalisation. The Opportunity: The role will work with our product, engineering and customer success teams. It requires direct expertise with deep learning statistical models that power AI, such as Transformers, and is focused on providing the quality of predictive and prescriptive insight that … Behavioural AI model research and development Key Responsibilities: Design and build core behavioural models as tooling for our behavioural AI product, using bleeding edge deep learning techniques Developing client prototypes of new behavioural insight to prove value and then push upstream into our core capabilities where appropriate Ideate ...

methodologies, focusing on interpretability, steering, and behavioral studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality … complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs). A practical understanding of white-box and black-box interpretability techniques, such as steering vectors or mechanistic ...

require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond … traditional ML engineering. You will apply machine learning science as a core field developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly ...

require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond … traditional ML engineering. You will apply machine learning science as a core field developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly ...

Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. … production settings. Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications. What You Bring Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants). Strong understanding ...

developing and integrating software or firmware in the following areas: Drivers Boot logic Board bring‐up/testing Control/state machines/interfaces Deep learning inference Cameras and ISPs Wireless Mesh & IoT comms Battery power monitoring GPS/GNSS positioning You will also: Support our development teams … embedded systems to prototype new products or features Work on testing of software and devices, e.g. range testing radios, measuring solar charging efficiency or deep learning model accuracy in real‐world tests Requirements Essential skills/experience BSc or MSc degree in Electronic Engineering, Computer Science, Computer Engineering ...

term research initiatives. As a Research Scientist, you will work on cutting-edge AI problems, pushing the boundaries of what is possible in machine learning and artificial intelligence to solve complex, real-world challenges. Visa sponsorship is not explicitly marked on this role. Relocation support is not explicitly marked. … degree (PhD or equivalent) in Computer Science, AI, or related technical field, with a proven track record of research excellence.. Prepare examples for: Machine Learning, Deep Learning, Artificial Intelligence, Research & Development, Strategic Planning. Job Overview Research Scientist, Strategic Bets, DeepMind Job Type Full-time Category Research Experience ...

Capital One is seeking a Lead Data Scientist/Deep Learning Practitioner to drive the next generation of underwriting models. The role focuses on leveraging non-traditional data and advanced neural networks to enhance predictive power and deliver customer insights. Based in our Nottingham office with a hybrid ...