326 to 350 of 1,007 Permanent Deep Learning Jobs

AI/ML systems, CI/CD and data pipelines. • Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. • Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs … AI/ML systems, ensuring security considerations are properly addressed. Key Skills & Experience: • Solid experience as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. • Extensive knowledge of security principles, best practices, and standards within the context of AI/ML systems. • Previous hands-on experience … preferred. • Proficiency in programming languages commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. • Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. • Experience in implementing secure coding practices, DevOps, CI/CD More ❯

model (LLM) post-training. This is not just about applying standard fine-tuning techniques - it's about building the future of dialogue systems with novel approaches to reasoning, reinforcement learning, audio-first LLMs, and more. As a Senior Research Scientist at PolyAI, you'll lead impactful research projects from ideation through to deployment. You'll be driving innovation in … how we train and adapt LLMs for real-world conversations - spanning voice, text, and multimodal contexts. You'll work on frontier techniques such as: Conversational reinforcement learning Streaming and continuous turn-taking Audio-native LLMs Distillation of reasoning models Long-context You'll also play a key role in shaping the scientific direction of our research, mentoring junior colleagues … compliance teams to ensure responsible use of data and models. Stay current with academic and industry advances in LLMs, ASR, TTS, RLHF, and multimodal learning. Requirements: PhD in Machine Learning, Natural Language Processing, Computer Science, or a related field. 5+ years of hands-on experience in deep learning. Proven track record of research innovation, including published work or More ❯

evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world … Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to More ❯

venues of repute. Support on-call activities for critical issues. Basic Qualifications Master’s or PhD in computer science, statistics or a related field. 2-7 years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience in Python, or another language More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of … to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team More ❯

Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration. Experience with Single Sign-On/OIDC integration and … a deep understanding of OAuth, JWT/JWE/JWS. Solid understanding of backend performance optimization and debugging. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience React About Us J.P. Morgan is More ❯

evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world … Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to More ❯

evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team … Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to More ❯

evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team … Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to More ❯

partners and academic institutions, regularly publishing papers in the scientific literature. This role supports the Agency’s mission to protect public health by applying advanced data science and machine learning techniques to enhance vigilance and safety monitoring of medicines, vaccines, and medical devices. The post holder will develop and implement innovative analytical approaches. They will collaborate across functions to … the role requires translating complex analyses into clear, actionable insights for colleagues across the Safety and Surveillance Group and the wider Agency. Key Responsibilities: Apply data science and machine learning approaches to large and complex datasets using programming languages such as Python, R, or Julia to generate actionable insights and robust evidence. Communicate approaches and results clearly and effectively … partners and academic institutions, regularly publishing papers in the scientific literature. This role supports the Agency’s mission to protect public health by applying advanced data science and machine learning techniques to enhance vigilance and safety monitoring of medicines, vaccines, and medical devices. The post holder will develop and implement innovative analytical approaches. They will collaborate across functions to More ❯

Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environment Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution … essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when More ❯

to empower sales and trading function, and the Bank more broadly, with quantitative data-driven models and tools that leverage the latest developments in the Artificial Intelligence/Machine Learning (AI/ML) space. You will be joining a focussed and dedicated team and will have the opportunity to use your strong foundational knowledge and practical experience in the … the latest developments in the field, and share knowledge with the broader team Project management, coordination, and managerial oversight where required Your Skills And Experience Expert working knowledge in deep learning and/or natural language processing, and a strong foundation in mathematics and statistics (including probability, time-series modelling, optimisation) A track record of original research and More ❯

join us and drive your career forward. Job Summary Do you want to work on cutting-edge Large Language Models (LLMs), Natural Language Processing (NLP), Knowledge Graphs (KGs), and Deep Learning (DL) research and build products that will impact millions of users across the globe? The Huawei Consumer Cloud service (CBG Cloud) team is seeking highly skilled and … Scientist Radiation Protection London, England, United Kingdom 1 week ago Postdoctoral Research Associate in Radiopharmaceutical Development London, England, United Kingdom 1 day ago Research Scientist (Quantum Chemistry and Machine Learning), London London, England, United Kingdom 2 hours ago Scientific Editor, Trends in Cancer and Trends Reviews Scientific Editor, Joule and Matter, Cell Press London, England, United Kingdom 3 weeks More ❯

edge generative AI to create tools that empowerenterprises and creators to produce high-quality content at scale. Job Description/Key Purpose of the Job: The Head of Machine Learning will lead our research and development efforts in generative models with a mainfocus on multimodal generation, with main focus on video generation but also audio, and language-based models.This … performing ML team Establish clear performance metrics, career development paths, and growth opportunities for team members Foster a collaborative culture that encourages knowledge sharing, creative problem-solving, and continuous learning Recruit and retain top ML talent through effective leadership and compelling technical challenges Cross-Functional Collaboration Partner with product, engineering, and creative teams to integrate ML innovations into production … development Engage with the external research community through publications, conferences, and collaboration Job Requirements/Must Haves Exceptional leadership, mentorship, and communication skills. Proven track record in leading machine learning R&D teams or projects. Advanced degree in Computer Science, Machine Learning, AI, or a related field. Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch More ❯

you’d love to work in, even if you only have some of the experience listed below, please apply. Responsibilities Design, build and scale supervised ML models for active learning and Bayesian Optimization of materials synthesis and performance Implement best practices and innovate methods for uncertainty quantification Combine datasets of multiple fidelities and sources to power data-driven materials … ML literature, attending conferences, and developing relationships with key opinion leaders Report findings to stakeholders and leadership in written reports and verbal presentations. Qualifications Experience with uncertainty quantification, active learning and Bayesian Optimization Experience implementing, evaluating, and hyperparameter tuning small and large supervised models in a Bayesian Optimization context (Gaussian processes, Bayesian Neural Networks) on small and large datasets. …/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.) Experience using a cloud computing service to reduce runtime to train and evaluate deep learning models PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field Strong self-starter and independent thinker, with strong attention to More ❯

Quantitative Researcher - Machine Learning A fully automated algorithmic trading company in London have ambitious plans to grow their machine learning research team. All their researchers have an impressive academic background in mathematics, statistics, and physics and have published numerous academic articles in their respective fields. They enjoy a healthy work-life balance while tackling hard problems in quantitative … Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on … finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets Published More ❯

Quantitative Researcher - Machine Learning A fully automated algorithmic trading company in London have ambitious plans to grow their machine learning research team. All their researchers have an impressive academic background in mathematics, statistics, and physics and have published numerous academic articles in their respective fields. They enjoy a healthy work-life balance while tackling hard problems in quantitative … Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on … finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets Published More ❯

Join to apply for the Machine Learning Engineer role at Graphcore Join to apply for the Machine Learning Engineer role at Graphcore Get AI-powered advice on this job and more exclusive features. As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI … you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! Responsibilities And Duties Implement the latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code … Engage with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential Skills Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded in … as a spin-out from a leading UK research institution, we are backed by prominent venture capital firms with experience investing in AI, life sciences, and deep tech startups. What We’re Building At the core of our technology is a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. … Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded in … as a spin-out from a leading UK research institution, we are backed by prominent venture capital firms with experience investing in AI, life sciences, and deep tech startups. What We’re Building At the core of our technology is a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. … Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded in … as a spin-out from a leading UK research institution, we are backed by prominent venture capital firms with experience investing in AI, life sciences, and deep tech startups. What We’re Building At the core of our technology is a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. … Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded in … as a spin-out from a leading UK research institution, we are backed by prominent venture capital firms with experience investing in AI, life sciences, and deep tech startups. What We’re Building At the core of our technology is a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. … Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded in … as a spin-out from a leading UK research institution, we are backed by prominent venture capital firms with experience investing in AI, life sciences, and deep tech startups. What We’re Building At the core of our technology is a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. … Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded in … as a spin-out from a leading UK research institution, we are backed by prominent venture capital firms with experience investing in AI, life sciences, and deep tech startups. What We’re Building At the core of our technology is a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. … Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded in … as a spin-out from a leading UK research institution, we are backed by prominent venture capital firms with experience investing in AI, life sciences, and deep tech startups. What We’re Building At the core of our technology is a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. … Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for More ❯