1 to 25 of 140 Remote Deep Learning Jobs

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their … please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. Build models to predict the behaviour of physical systems … using state-of-the-art machine learning and deep learning techniques. Own research work-streams at different levels, depending on seniority. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Collaborate with colleagues beyond the More ❯

us—we 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 … autonomous driving or similar robotics or decision making domain, inclusive, but not limited to the following specific areas: Model-free and model-based reinforcement learning Offline reinforcement learning Planning with learned models, model predictive control and tree search Imitation learning, inverse reinforcement learning and causal inference … of real-world driving data How to architect our models to best employ the latest advances in foundation models, transformers, world models, etc. Which learning algorithms to use (e.g. reinforcement learning, behavioural cloning) How to leverage simulation for controlled experimental insight, training data augmentation, and re-simulation How More ❯

of these two technologies. Our Venture Studio team is focused on investigating, researching, designing, and building new solutions to help drive web3 and Machine learning user adoption and improve scalability, usability, and user experiences with the ultimate aim of launching each product as a stand alone company to add … Knowledge of Web3 infrastructure and AI technologies. Knowledge of Ethereum, EVM, and L2s. Knowledge of Solana/SVM is a plus. Knowledge of Machine Learning & Deep Learning: Strong understanding of LLMs, ML/DL fundamentals, fine-tuning, RAG techniques, and hands-on experience with frameworks like PyTorch … Knowledge of Web3 infrastructure and AI technologies. Knowledge of Ethereum, EVM, and L2s. Knowledge of Solana/SVM is a plus. Knowledge of Machine Learning & Deep Learning: Strong understanding of LLMs, ML/DL fundamentals, fine-tuning, RAG techniques, and hands-on experience with frameworks like PyTorch More ❯

Research Scientist, Quantum Chemistry and Machine Learning, London Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach. We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be … ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture. Your impact As a Research Scientist in Quantum Chemistry and Machine Learning you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the … computer thus helping us develop cutting edge predictive models which will be critical to the organisation's success. You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems. You More ❯

programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and/or … filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian … inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery To be More ❯

partners and deliver reliable, customer-centric technology services. Join the Staples Enterprise Data & Analytics team as a Senior Manager of Artificial Intelligence and Machine Learning, where you'll play a pivotal role in designing and implementing state-of-the-art AI, Gen AI, solutions for the growing data needs … designing and implementing end-to-end AI solutions using Python, PyTorch, and leveraging platforms like Databricks and Snowflake. Domain Knowledge: Strong knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI domains. Data Proficiency: Expertise in feature engineering, data preprocessing, model tuning, and … and in a team environment. Professional Experience: 7+ years of experience in AI/ML, with a strong focus on Generative AI. Technical Skills: Deep understanding of NLP, deep learning, and data analysis techniques, with strong programming skills in Python and experience in data manipulation libraries (e.g. More ❯

stage of growth as they prepare to scale. You should consider this opportunity if the following appeals to you: ️ You have a passion and deep expertise in Computer Vision ️ You’ve worked in a startup before and prefer all that it entails over a job in a large corporation … You are excited about Generative AI and what the future holds About the role : Develop Deep Learning solutions Develop the methodology and assessment criteria to measure solution performance Track and implement advancements in Deep Learning and Computer Vision Help shape the data science team as it … scales About you : Current or recent experience in a tech startup or scale-up with a fast-paced environment Expertise in Deep Learning and Computer Vision (incl. image classification, detection, facial recognition, etc.) Understanding of transfer learning and popular augmentation techniques Able to apply machine learning More ❯

agriculture transform through advanced artificial intelligence solutions. As a Data Scientist specialising in Computer Vision, you'll play a pivotal role in developing machine learning products that redefine what AI can achieve across diverse industries. Why You Should Apply Be part of a revolutionary AI startup shaping the future … Collaborate with experts across business, product, and engineering teams Contribute directly to deploying AI solutions with enterprise clients What You'll Be Doing Develop deep learning models for a range of computer vision tasks Define and implement assessment criteria to measure solution performance Stay on top of and … apply recent advancements in deep learning and computer vision Support and maintain our suite of machine learning products About You Be able to do the job as described Skilled in deep learning algorithms applied to computer vision challenges Knowledgeable about key architectures like Vision Transformers More ❯

a Junior AI Developer to join a small but growing AI team. This is a fantastic opportunity to work closely with experienced AI professionals, learning and applying cutting-edge techniques in machine learning and generative AI. You’ll get hands-on experience fine-tuning large language models (LLMs … want to hear from you! What you’ll be doing: In this role, you’ll be involved in developing, fine-tuning, and optimising machine learning models. Your work will cover various AI applications, including text, audio, and video, with a primary focus on LLM fine-tuning. You’ll collaborate … The first few months will involve a strong focus on evaluating and fine-tuning existing AI models. You’ll work on optimising traditional machine learning and deep learning models, fine-tuning LLMs for specific business needs, and evaluating model performance using statistical techniques. Cloud computing will also More ❯

forefront of generative AI and its applications in life sciences. Our team is dedicated to building foundational expertise and developing the next generation of deep learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3, AlphaFold, RFDiffusion, and ProteinMPNN are … to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our near-exascale supercomputing cluster, Kyber, to conduct large-scale training … and evaluation of generative models. Publish and Present Research Share your findings at top-tier conferences and in leading journals. Responsibilities Innovate in Deep Learning Research Develop and implement novel research on multimodal generative foundation models and their biological applications. Contribute to Team Success Collaborate with team members More ❯

would ultimately benefit all stakeholders involved in the healthcare ecosystem ?" payers, providers, and patients. We are looking for a Senior Data Scientist - AI/Deep Learning to enhance our capacity to develop new analytic products. As a key member of the Data Science Team, you will be part … review and interpret complex data through the development of case-studies, enabling the data to tell a story Build and maintain production-ready machine-learning models Identify drivers of patterns/behaviors uncovered in data and use these to explain business trends Contribute to the design and realization of … Qualifications: Master's degree in Statistics, Physics, Mathematics, Engineering or similar analytic domain with a significant quantitative aspect Proficiency in AI/ML and deep learning frameworks such us PyTorch Proven track record of developing and deploying machine learning models in production environments Soft Skills: Natural curiosity More ❯

Job Description Are you a curious and open-minded individual with an interest in leading teams conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientist Managers with a passion for leading teams and solving challenging machine learning problems in a data … rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a … and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting, CoT pipelines, RAG, Tool use, etc. More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their … the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning software engineer to join our research team. If all of this sounds exciting to you, we would love to talk. Note: We are currently … our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training More ❯

data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning, statistical modelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions that utilize … customer data to generate value for the business. This role at other companies may be referred to as a Machine Learning Engineer or Data Scientist. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data … build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, deep learning, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Decision Scientist, you will be expected to work More ❯

Are you a curious and open-minded individual with an interest in leading teams conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientist Managers with a passion for leading teams and solving challenging machine learning problems in a data-rich, complex … academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation … and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting, CoT pipelines, RAG, Tool use, etc. More ❯

Software Engineer, AI Labs, Vice President About this role Senior Software Engineer - Machine Learning AI Labs Overview: Since our founding over 30 years ago, BlackRock has brought together great minds to drive innovation. From the beginning, we have been demonstrating technology for insight and efficiency to make our business … hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in data science, machine learning, generative AI, optimization, stochastic control and statistics. Our mission is to combine human and machine intelligence to revolutionize asset management. The team is led … the form of alpha generation, operational efficiencies, and cost reduction. Building on the success of systematic investment teams with a history of demonstrating machine learning at BlackRock to create alpha, the goal is to apply these same techniques throughout the business. The team has grown to 30+ data scientists More ❯

The hiring manager can share more about what hybrid work might look like for this team. Join our team Are you passionate about Machine Learning? Join our DnAI team at GoDaddy as a Senior Machine Learning Scientist (MLS 3) and help make a difference for small businesses! We … contribute to innovative machine learning models for Pricing + Bundling and Generative AI projects. Collaborate with ML engineers to develop ML pipelines and ensure the quality and reliability of our ML solutions. What you'll get to do... Develop and implement sophisticated algorithms for Pricing and AI projects using … to maintain our competitive edge in the industry. Your experience should include... 4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles Proficient in Python programming language Solid understanding of machine learning algorithms, tools, and techniques, such as supervised and unsupervised More ❯

directly impact the future of autonomous vehicles, enhancing their adaptability, reliability, and efficiency through innovative approaches such as model-free and model-based reinforcement learning, efficient vision-language models, and more. In this role, you will be at the forefront of designing and optimizing foundation models that are both … ultra-efficient foundation models specifically tailored for autonomous systems and embodied AI. Develop and refine techniques such as model-free and model-based reinforcement learning, and efficient vision-language models to improve the adaptability, reliability, and efficiency of autonomous systems. Collaborate with world-class researchers and engineers to push … future of autonomous vehicles, helping to shape a smarter, safer, and more efficient transportation ecosystem. About you You are an applied scientist with a deep understanding of AI/ML and a specific focus on TinyML. You thrive in environments where innovation meets real-world application, and you are More ❯

tools or methodologies for potential use. Essential: 5+ years of proven experience delivering AI/ML models in production environments. Advanced knowledge of machine learning, deep learning (e.g., XGBoost, LSTMs, transformers), and statistical modeling. Proficient in Python and machine learning libraries such as Scikit-learn, TensorFlow … company pension scheme . All employees are included in the company discretionary bonus scheme . £100 per month to put towards wellness activities. Annual learning & development allowance of £1,250 . Free access to LinkedIn learning and Microsoft ESI learning platform. If you're ready to make More ❯

ML/AI Software Engineer A brilliant opportunity for a Machine Learning focussed Software Engineer with knowledge within LLMs, Audio & Computer Vision to join an incredibly exciting start-up in London, which is currently in stealth mode developing exciting technology in the security space. Joining a company founded by … Responsibilities for ML/AI Software Engineer Exciting early-stage development of prototyping products within a growing R&D team Design & Development of Machine Learning/Artificial Intelligence/Computer Vision- related video & audio software Looking at the current/latest models and how they will work within the … sexual orientation, age, marital status, veteran status, or disability status. Keywords – AI/ML/CV Development Engineer/AI Software Engineer/Machine Learning Engineer/Computer Vision Engineer/AI Research Engineer/ML Research Engineer/Computer Vision Software Developer/AI Systems Engineer/Machine More ❯

plug directly into the world's most impressive DeepTech businesses in the world to place the TOP 1% across Robotics, Computer Vision, GenAI, Machine Learning, Deep Learning, Reinforcement Learning + the works. I could keep going, so let me skip to the logistics of the role More ❯

guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary: We're seeking a Bayesian Data Scientist with deep expertise in probabilistic modeling and a strong grasp of modern AI advancements, including foundation models , generative AI , and variational inference . This role is … and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models-driving real business impact. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote … and Gaussian processes for modern AI use cases. Collaborate closely with product, engineering, and business teams to build end-to-end modeling solutions. Conduct deep-dive statistical and machine learning analyses, simulations, and experimental design. Stay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible More ❯

ML, Vice President Sector: Banking and Financial Services Role: Senior Executive Contract Type: Permanent Hours: Full Time About this role Senior Software Engineer - Machine Learning AI Labs Overview: Since our founding over 30 years ago, BlackRock has brought together great minds to drive innovation. We have been demonstrating technology … business and help clients realize their objectives. AI Labs was formed to solve strategic business challenges by leveraging our expertise in data science, machine learning, and statistics. Our mission is to combine human and machine intelligence to revolutionize asset management. We are looking for candidates with unique backgrounds and … wide set of client, investor, and operational problems. Build and maintain tools and services supporting the full model development lifecycle for statistical models, machine learning, optimization, and deep learning models (e.g., feature engineering, backtesting and simulation, validation, deployment). Maintain and monitor production models and experimentation. Tune More ❯

to work on advanced ML models that drive next-generation breakthroughs in sensor technology. Responsibilities: BSc or MSc in Mathematics, Physics, Computer Science, Machine Learning or related. 3+ years industry experience in machine learning, deep learning, and data science. Experience in analysing complex datasets and driving … Strong understanding of engineering first principles. Solid Mathematics and/or Physics background. Proficiency in Python, TensorFlow, PyTorch. Desired Experience: Computer Vision or Reinforcement learning Contributions to open-source ML projects. Cloud platforms such as AWS. What’s On Offer: Share options. Private Medical. Hybrid working with remote possible More ❯

At Loci we’re building powerful and fast 3D content understanding algorithms. We leverage cutting-edge technologies such as computer vision, machine learning, and graphics to revolutionise 3D content management and creation. AI has an important role in assisting 3D content creation. Loci’s ML platform helps enterprise clients … for existing 3D assets with high precision, and create new 3D assets from arbitrary text prompts. Role Summary We're looking for a Machine Learning Engineer to work on methods for 3D content classification, retrieval, generation, and captioning. The role is based in London (Vauxhall) with flexible work-from … plan. We are backed by leading European VC funds. What You Will Be Doing Write production code to support the development and deployment of deep learning algorithms for 3D content classification, retrieval, generation, and captioning. Ensure the maintenance and monitoring of our deployed microservices. Build ownership of data More ❯