301 to 325 of 477 Remote Deep Learning Jobs

You are interested in doing research, trying new things and pushing the boundaries, going beyond what's already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python, preferably C++ and Cuda. And you care about writing clean, efficient code. The good stuff Attractive compensation (salary More ❯

Machine Learning Engineer – Globally established entertainment company Salary: £90,000–£110,000 (can stretch to £130,000 for the right person) Location: London (Hybrid – 1–2 days per week in-office) Join a tech-first team modernising the way entertainment is brought to life. Work across innovative deep learning and exciting projects within the Gen AI, software … 3D and computer vision space. ROLES AND RESPONSIBILITIES Work closely with a high-impact, global team of 4 Gain exposure and work hands-on across deep learning projects, as well as innovative AI (e.g 3D, Computer Vision, Gen AI etc.) Join a company looking to modernise machine learning applications and AI while still giving control to creatives … REQUIREMENTS ✅ 2+ years hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in PyTorch or TensorFlow ✅ Good understanding of C++ ✅ Interest/experience in the video, games or film industry Bonus if you have: GitHub, papers, or personal projects you’re proud of Background More ❯

Machine Learning Engineer – Globally established entertainment company Salary: £90,000–£110,000 (can stretch to £130,000 for the right person) Location: London (Hybrid – 1–2 days per week in-office) Join a tech-first team modernising the way entertainment is brought to life. Work across innovative deep learning and exciting projects within the Gen AI, software … 3D and computer vision space. ROLES AND RESPONSIBILITIES Work closely with a high-impact, global team of 4 Gain exposure and work hands-on across deep learning projects, as well as innovative AI (e.g 3D, Computer Vision, Gen AI etc.) Join a company looking to modernise machine learning applications and AI while still giving control to creatives … REQUIREMENTS ✅ 2+ years hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in PyTorch or TensorFlow ✅ Good understanding of C++ ✅ Interest/experience in the video, games or film industry Bonus if you have: GitHub, papers, or personal projects you’re proud of Background 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 ❯

opportunity is with one of our most exciting partners - an AI-driven company revolutionizing how businesses optimize resources and drive sustainable outcomes. They are a fast-growing, mission-driven deep-tech company building advanced forecasting solutions that help drive sustainability efforts and optimize resource use. We're looking for a Lead Machine Learning Engineer to play a pivotal … AI. What you'll be doing: Shape the AI/ML strategy alongside the AI Co-Founder and leadership team. Lead, mentor, and develop a team of 3 Machine Learning Engineers, creating a collaborative and high-performance environment. Design and deliver production-grade machine learning solutions that solve complex business challenges (think forecasting, optimization, automation, and beyond). … Collaborate cross-functionally with Product, Engineering, and Data teams to bring models into production and deliver measurable business impact. Explore and integrate modern AI approaches, from classical ML to deep learning techniques. Build and scale models Preferred Tech Stack: You will have input on shaping the company's tech stack. Some preferred tools and technologies include: Languages: Python 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 ❯

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 ❯

will architect and lead the next generation of AI solutions that power LinkedIn's content products - from feed to videos to news- by employing the latest techniques - from reinforcement learning to generative AI to large-scale deep learning models. You will design strategies for holistic optimization of LinkedIn's ecosystem across all consumer product surfaces to create … state of the art in the industry, and leverage and create open-source software in the process. Qualifications Basic Qualifications: PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience 10+ years of relevant work experience Experience leading technical projects with multiple stakeholders Preferred Qualifications: 10+ years experience in building engaging … talent Experience leading high-impact, cross-company initiatives Dream big. Make big, bold moves to define and build the next generation of products Suggested Skills: Mentoring Technical Leadership Machine Learning You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs 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 ❯

AI revolution! We are seeking Applied Research Scientists with expertise in RNA modeling, RNA optimization, or RNA design to join our world-class, multi-disciplinary team. This role combines deep scientific research with practical product development, aiming to build cutting-edge biological AI models and deploy them to researchers advancing life sciences. Applied Research Scientists leverage their expertise in … RNA design, optimization, and modeling. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage classical computational biology tools and modern deep learning approaches for RNA design, optimization, and molecular modeling. Contribute to understanding AI model behavior in biological applications through interpretability and performance analysis. Create, curate, and manage high … driven biological discovery and therapeutics. Lead foundational research efforts for biological AI models, including projects related to protein-focused foundation models. Requirements PhD in Transcriptomics, Computational Biology, AI, Machine Learning, or a related field, or equivalent industry experience. Strong programming skills in Python, with experience using deep learning frameworks like PyTorch. Proven experience applying classical and deep 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 ❯

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, including Machine Learning and NLP. Minimum of 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 a great opportunity. If interested 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 ❯

paced environment big problems ignite 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 foster an inclusive work environment … expertise in AI applied to 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 Learned agent models: behavioral and … large, rich, and diverse sources 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 to scale models efficiently across More ❯

currently looking for a Vice President, AI in Anywhere . As Vice President of AI, you will lead the company's AI strategy, overseeing the development of proprietary machine learning models and driving experimentation and data science initiatives embedded in the product offering. You will manage a diverse team of data scientists, engineers, and AI developers while collaborating closely … AI solutions and progress directly to client senior executives and C-level stakeholders Requirements Advanced degree (PhD preferred) or equivalent experience in AI, data science, or a related field Deep expertise in deep learning, recommender systems, and large language models (LLMs) Proven track record of deploying AI/ML models to production and driving measurable business outcomes … Sales, EMEA (Ad-tech/DSP/SSP/CTV exp required) Birmingham, England, United Kingdom 3 days ago Chippenham, England, United Kingdom 2 weeks ago Distinguished Engineer - Machine Learning (VP level) Northern Ireland, United Kingdom 2 months ago Distinguished Engineer - Machine Learning (VP level) Distinguished Engineer - Machine Learning (VP level) Distinguished Engineer - Machine Learning (VP 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. Represent Entrust at national and international scientific conferences. Contribute to filing patents. 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. Worked with customers to impactfully solve their problems. 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. 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 More ❯

a climate tech start-up on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deep learning to optimise the availability of textiles for closed-loop recycling. We have an established machine learning pipeline for textile and fibre detection and are currently refining … our system ready for piloting and deployment. This role is a unique opportunity for engineers who are passionate about AI, sustainability, and solving complex problems, with experience in deep tech integration. We are seeking individuals who are excited about working in an early stage startup environment, where resilience and problem solving are key and where challenges are seen as … Responsibilities: Develop and optimise imaging hardware, including illumination systems, hyperspectral near-infrared and RGB cameras. Design and prototype cost-effective and scalable imaging hardware solutions. Support integration of machine learning models with imaging hardware and Edge processing. Work on automation aspects of the textile sorting system. Conduct real world testing and refine hardware/software integration. Ensure robust communication More ❯

in this space. Please see below for what we're looking for: Proven experience creating generative AI models e.g., GPT-3/4, transformer models Strong background in machine learning, deep learning, and time series forecasting techniques such as ARIMA, LSTM, Prophet, etc. Proficiency in Python or C++, as well as with ML frameworks such as PyTorch 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 ❯

in this space. Please see below for what we're looking for: Proven experience creating generative AI models e.g., GPT-3/4, transformer models Strong background in machine learning, deep learning, and time series forecasting techniques such as ARIMA, LSTM, Prophet, etc. Proficiency in Python or C++, as well as with ML frameworks such as PyTorch More ❯

Research, prototype, and benchmark novel algorithms in 2-D/3-D vision, multi-modal fusion, and dense correspondence that push manipulation speed and reliability. Implement, optimize, and profile deep-learning models in PyTorch and C++ (CUDA) to meet strict latency budgets on embedded GPUs/accelerators. Integrate perception modules in ROS 2, ensuring clean interfaces, deterministic scheduling … planning, and hardware teams to close perception–action loops and ship production-quality releases. Minimum Qualifications PhD (or outstanding Master’s + equivalent publications) in Robotics, Computer Vision, Machine Learning, or a closely related field. 3+ years hands-on experience building real-time perception systems for robot manipulation or autonomous platforms. Advanced proficiency in Python and modern C++17/… proven track record writing clean, testable, high-performance code. Deep expertise with PyTorch (training & inference) and GPU programming (CUDA, TensorRT, or similar). Production experience with ROS 2 (rclcpp/rclpy, lifecycle nodes, DDS tuning, real-time QoS). Strong publication record in top-tier venues (e.g., RSS, ICRA, CoRL, CVPR, RAL). Preferred Qualifications Track record shipping perception More ❯