201 to 225 of 335 Remote Deep Learning Jobs

employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work. The opportunity: We are investing massively in … applications Analyse large multi-modal datasets to extract insights and features that can be used by downstream AI models. Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges. Stay abreast of the latest trends in AI research and integrate them into our products and services Communicate technical challenges … and solutions to non-technical stakeholders and team members. What we want from you: Experience in machine learning, with a strong knowledge of algorithms and principles. Proven track record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for either computer vision More ❯

tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch … preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale … ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to More ❯

solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point More ❯

Social network you want to login/join with: Machine Learning Research Engineer, London Location: London, United Kingdom Job Category: Internet EU work permit required: Yes Job Reference: AF-36 Job Views: 1 Posted: 19.05.2025 Expiry Date: 03.07.2025 Job Description: Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for … an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation with real-world impact. What we’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong … record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development is essential, and we’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimization methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied More ❯

We're looking for an experienced Computer Vision and Machine Learning Engineer to join an innovative project focused on AI-driven content reconstruction and creation. This is a great opportunity to work at the intersection of advanced computer vision, machine learning, and 3D image processing. Hybrid working: Three days onsite and two days remote per week. Key Responsibilities … and editing. Evaluate state-of-the-art academic and industry research, turning cutting-edge ideas into functional prototypes. Design and implement high-performance software and algorithms for image processing, deep learning, and 3D reconstruction. Own technical development for major components of the system, ensuring scalable and maintainable code. Collaborate with cross-functional teams to define requirements and translate … them into robust engineering solutions. Required Skills & Experience Master's degree or higher in Computer Science, Engineering, Machine Learning, Artificial Intelligence, or a related field. Strong professional experience coding in modern C++ (advanced level). Practical expertise with GPU programming, specifically using CUDA or OpenCL. Solid background in debugging, optimization, and performance tuning. Clear communicator with a collaborative and More ❯

Lead of Machine Learning Systems, Scale and Performance Join to apply for the Lead of Machine Learning Systems, Scale and Performance role at InstaDeep Continue with Google Continue with Google Lead of Machine Learning Systems, Scale and Performance 5 months ago Be among the first 25 applicants Join to apply for the Lead of Machine Learning … Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! The Team Efficiently training machine learning algorithms at scale requires solving novel system problems. Our team leads the design and implementation of high-performance solutions to seamlessly scale our AI systems, including our latest foundation … optimise throughput, scalability, and robustness in some of the largest distributed ML systems, making ambitious research ideas a practical reality. The Role We're looking for a Lead Machine Learning Engineer to take charge of tackling performance bottlenecks and lead the development of solutions that scale machine learning to the next level. In this role, you’ll collaborate More ❯

Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London While gene-editing is becoming increasingly efficient, identifying which genes to edit and how remains a significant challenge. To overcome this bottleneck, we use cutting-edge deep learning to accurately and efficiently identify high-value genetic targets for gene-editing. Our approach draws inspiration from recent advancements in … with specific expertise who feel they could uniquely contribute to the training lifecycle of large, complex models. The ideal applicant will have experience using genomic data in a machine learning context. We are particularly interested in individuals with experience working with foundational generative models of DNA or transcriptomic data. However, our modelling efforts have a strong focus on multi More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial … AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics. You More ❯

Research Scientist (Machine Learning, Cell and Tissue Biology), London 6 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. This job is with Isomorphic Labs, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. … Research Scientist (Machine Learning, Cell and Tissue Biology), London We are here to advance human health, by reimagining drug discovery with the power and pace of artificial intelligence. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured by better and faster drug discovery. … This is an exciting opportunity for you to contribute to an ambitious Cell and Tissue Biology research program within the Computational Biology team, working in partnership with leading Machine Learning (ML) researchers, Chemists and Biologists. Building on the successful models in place to predict protein structure (AlphaFold-3), there is an unique opportunity for Research Scientists to have a More ❯

Master's or PhD in Computer Science, Engineering, or a related field • 5+ years of experience deploying AI/ML models in production settings • Proficient in Python, C++, and deep learning frameworks like PyTorch or Jax • Skilled in distributed training (e.g., DDP, FSDP) and model performance optimization • Experience with GPU architectures, cloud platforms, and hardware tradeoffs • Familiarity with … low-level hardware tuning and custom CUDA kernel development Key Responsibilities • Develop cutting-edge AI models for drug discovery using deep learning frameworks • Scale and optimize distributed training of large AI models on GPUs • Enhance performance of AI models during both training and inference stages • Communicate findings through documentation, presentations, and stay updated on AI advancements Benefits • Generous … Generous pension contributions • Contribute to impactful research at the AI-healthcare frontier • Access to professional growth via conferences, workshops, and training • Inclusive, collaborative culture focused on innovation and continuous learning If you meet 60-70% of the requirements I would love to hear from you. Click the Easy Apply button! #J-18808-Ljbffr More ❯

a newly established Data Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2/3 days per week) Salary: £70,000 to … + Benefits Interview Process: 4 Stages To be considered: Over 5 years of experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning and NLP. Minimum One year of experience designing and implementing LLM Solutions. Expertise in building production pipelines, using Python. Excellent communication skills, both written and verbal. Prior experience working in healthcare. This More ❯

a newly established Data Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2/3 days per week) Salary: £70,000 to … + Benefits Interview Process: 4 Stages To be considered: Over 5 years of experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning and NLP. Minimum One year of experience designing and implementing LLM Solutions. Expertise in building production pipelines, using Python. Excellent communication skills, both written and verbal. Prior experience working in healthcare. This More ❯

Intelligence capability. Location: Hybrid in London (2/3 days per week) Interview Process: 4 Stages Responsibilities: Designing and creating Data Science and AI solutions, including Generative AI, Machine Learning, Deep Learning, and Natural Language Processing to improve patient outcomes and care. Qualifications: Over 5 years of experience in Data Science and AI solution development, including Machine … Learning and NLP. Minimum of 1 year experience designing and implementing Large Language Model (LLM) solutions. Expertise in building production pipelines using Python. Excellent written and verbal communication skills. Prior experience working in healthcare. If interested, please apply via the link below. This is an opportunity not to be missed. #J-18808-Ljbffr More ❯

a newly established Data Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2/3 days per week) Interview Process: 4 Stages … To be considered: Over 5 years of experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning and NLP. Minimum One year of experience designing and implementing LLM Solutions. Expertise in building production pipelines, using Python. Excellent communication skills, both written and verbal. Prior experience working in healthcare. This is one not to be missed More ❯

seeking Applied Research Scientists with expertise in RNA modeling, RNA optimization, or RNA design to join our world-class, multi-disciplinary team. This role sits at the intersection of deep scientific research and practical product development, aimed at building cutting-edge biological AI models and deploying them to researchers advancing the life sciences. Applied Research Scientists at InstaDeep leverage … their deep expertise in scientific principles, artificial intelligence, and computational biology to create more accurate, efficient, and scalable tools that enhance our understanding of biology and accelerate the development of medical treatments, including RNA therapeutics. This position demands close collaboration across AI research, biology, engineering, and business teams, as well as with strategic partners like BioNTech. Success in this … design, optimisation and modelling. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage both classical computational biology tools and modern deep learning approaches for tasks such as RNA design, optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by contributing to interpretability and performance More ❯

Research Scientists with expertise in protein engineering, de novo protein design or structural biology to join our world-class, multi-disciplinary team. This role sits at the intersection of deep scientific research and practical product development, aimed at building cutting-edge biological AI models and deploying them to researchers advancing the life sciences. Applied Research Scientists at InstaDeep leverage … their deep expertise in scientific principles, artificial intelligence, and computational biology to create more accurate, efficient, and scalable tools that enhance our understanding of biology and accelerate the development of medical treatments, including RNA therapeutics. This position demands close collaboration across AI research, biology, engineering, and business teams, as well as with strategic partners like BioNTech. Success in this … and de novo design. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage both classical computational biology tools and modern deep learning approaches for tasks such as protein design, sequence optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by contributing to interpretability and More ❯

Who are we? Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. And we have fun in the meantime! We are a friendly bunch and pride ourselves in having … businesses. The Team You will be joining the Detection team. The Detection team is responsible for keeping fraud rates low – and clients happy – by continuously training and deploying machine learning models. We aim to make model deployments as easy and error-free as code deployments. Google’s Best Practices for ML Engineering is our bible. Our models are trained … looking for a Staff Data Scientist to act as a technical leader on behalf of the Detection team, working on solving our most complex challenges. You will use your deep expertise to guide the team in investigating ambiguous cases and ensuring the fundamental integrity of our modeling approaches. We have to build robust models that are capable of updating More ❯

and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the organisation and externally. Publish research … results in national and international conferences and scientific journals. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using … at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and image processing techniques. Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker More ❯

EMEA-Europe North Job ID: 2983324 | Amazon Web Services EMEA SARL, Dutch Branch Are you passionate about helping customers build solutions leveraging state-of-the-art Artificial Intelligence, Machine Learning and Deep Learning tools on Amazon Web Service (AWS)? Would you like to focus on developing agentic AI systems for our Europe North customers? Come join us … intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. AWS is looking for an Artificial Intelligence/Machine Learning Solutions Architect (AI/ML SA), to join our other Subject Matter Experts (SMEs) in helping customers in Europe North (BeNeLux, Nordics and Baltics) design solutions that leverage our … customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. More ❯

the organization's goal of technological leadership. Requirements: Bachelor's degree in Computer Science, Statistics, Engineering, or related field, providing a solid foundation for growth. Demonstrated proficiency in machine learning and deep learning concepts, enabling impactful contribution and development. Strong programming skills in Python with knowledge of C/C++ and experience in profiling CPU and GPU More ❯

Solution Architect, Energy role at NVIDIA NVIDIA is dedicated to leveraging artificial intelligence and accelerated computing to drive transformative advancements in the energy sector. By combining GPU-accelerated solutions, deep learning, and cutting-edge physics-based machine learning approaches, we aim to revolutionize power generation, transmission, and geophysics applications. We are seeking a Solution Architect to support … team Communicate with product and engineering to build solutions aligned with customer’s requirements Support the development of power generation and distribution use-cases based on our platforms Keep learning the latest innovations in high performance computing and AI Educating customers on using NVIDIA GPUs and platforms What We Need To See MS/PhD in Computer Science, Engineering … collaborative environments Team players, creative abilities, can learn and adapt quickly Ways To Stand Out From The Crowd Experience using NVIDIA GPUs and platforms Good knowledge of Physics-Machine Learning Experience in Scientific Visualization Experience in digital twin technologies NVIDIA is one of the technology industry's most desirable employer. If you're a creative person with a genuine More ❯

emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting … Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are More ❯

emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting … Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are More ❯

Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have : Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

we value you for who you are. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, learning and development funds, and more. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following … areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications in top tier venues, participation in program committees, etc. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that … following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress More ❯