301 to 325 of 363 Remote Deep Learning Jobs

to other roles within MathWorks such as software engineering, quality engineering, user experience or other technical areas to continue the next step of their career. The program offers technical learning opportunities in areas such as full-stack software development (with languages including C++, MATLAB, JS/HTML/CSS, and Go), high-performance computing, cloud computing, automatic code generation … embedded systems, text analytics, deep learning, signal processing, physical modelling, and wireless communications. MathWorks is committed to fostering an inclusive and supportive work environment for all employees. MathWorks nurtures growth, appreciates diversity, encourages initiative, values teamwork, shares success, and rewards excellence. Responsibilities As part of the Development organization, you will be part of a diverse and inclusive team … contribute to meaningful software engineering projects and provide technical support assistance to customers. This unique blend of work is designed to provide an opportunity for continuous learning and technical development. The program allows you to make a real difference by helping customers from a wide range of industries solve interesting technical challenges. More specifically, you will: Develop & demonstrate strong More ❯

analytics with core focus in customer experience (if available). Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc. Hands-on experience … Familiarity with Agentic AI development. Familiarity with ethical considerations and best practices in AI and data science. A curious mindset and interest with the latest advancements in AI, machine learning, and data science space. Need To Know We don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values … end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. When you join Capgemini, you don't just start a new job. You become part More ❯

convenience, competitive pricing, and customer self-service. What Makes a Great Candidate: Experience with ML fundamentals Experience deploying ML models at production scale Good understanding of SQL Experience with Deep Learning Ability to lead end-to-end projects Knowledge of GCP (nice-to-have) If you are passionate about data science and enjoy solving challenging problems in a More ❯

role. Expertise in the application of AI/ML and/or statistical signal processing to sequential data in industry. Experience in Python software development. Experience in ML and deep learning frameworks such as Tensorflow, Pytorch, scikit-learn etc. A background in Aerospace, Defence or Public Sector consulting. Experience in one or more of: RF, CEMA, Electronic/ More ❯

talent looking for a fast-paced environment. What Makes a Great Candidate Experience in ML fundamentals. Knowledge deploying ML models at production scale. Good understanding of SQL. Experience with Deep Learning. Happy leading end-to-end projects. Knowledge of GCP is nice-to-have. If you are a passionate data scientist, who enjoys solving challenging problems in a fast More ❯

talent looking for a fast-paced environment. What Makes a Great Candidate Experience in ML fundamentals. Knowledge deploying ML models at production scale. Good understanding of SQL. Experience with Deep Learning. Happy leading end-to-end projects. Knowledge of GCP is nice-to-have. If you are a passionate data scientist, who enjoys solving challenging problems in a fast More ❯

convenience, competitive pricing, and customer self-service. What Makes a Great Candidate Experience in ML fundamentals. Knowledge deploying ML models at production scale. Good understanding of SQL. Experience with Deep Learning. Happy leading end-to-end projects. Knowledge of GCP is nice-to-have. If you are a passionate data scientist, who enjoys solving challenging problems in a fast More ❯

convenience, competitive pricing, and customer self-service. What Makes a Great Candidate Experience in ML fundamentals. Knowledge deploying ML models at production scale. Good understanding of SQL. Experience with Deep Learning. Happy leading end-to-end projects. Knowledge of GCP is nice-to-have. If you are a passionate data scientist, who enjoys solving challenging problems in a fast More ❯

Social network you want to login/join with: Senior Machine Learning Engineer (AI Foundation), London Client: Flo Location: London, United Kingdom Job Category: Other EU work permit required: Yes Job Reference: 96d61b5100cb Job Views: 5 Posted: 25.06.2025 Expiry Date: 09.08.2025 Job Description: The Job Our engineers aren’t just building a better product; they’re making the world … a better place by improving women’s health. We leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, medically credible health tips. We are committed to discover and empower our employees to implement brand-new solutions. Flo is a place for experimentation and implementation opportunities at the senior level. Flo is not just a feature … and technologies are added, hardening development. Our engineers have an average of 10 years of experience, so they can solve ambitious product tasks. We are looking for a Machine Learning Engineer for the AI foundation team. Solutions the AI team build are rooted in our medical knowledge, technical skills, swift adoption of new technologies such as LLMs, product expertise More ❯

team of builders that value impact, personal growth, openness and kindness. What You’ll Do Collaborate on projects with other Top of Funnel engineers where you’ll apply Machine Learning to solve discovery, relevance and recommendation problems. Build and deploy sophisticated machine learning models to improve experiences for millions of users. Participate in the full software development cycle … ML teams at Reddit to find technical solutions to complex challenges. Be a mentor and cross-functional advocate for the team Qualifications: 2+ years of experience with industry-level deep learning models 2+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch) 4+ years of end-to-end experience of training, evaluating, testing, and deploying … industry-level models 4+ years of experience of orchestrating complicated data generation pipelines on large-scale dataset Successful track record of productionizing and applying machine learning techniques in addressing real-world problems end to end. Comfort analyzing high-volume natural language and multimodal data from varying sources, proficient with SQL Experience communicating complex research and ideas in a clear More ❯

differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes and fans at the perfect moment. We build new experiences and power … automation across Hudl, using cutting-edge computer vision and deep learning technologies, deployed both in the cloud and on our Focus cameras at the edge. As a Staff Engineer, you'll provide technical leadership for Engineers across the AML squads to deliver AI/ML solutions at scale, shaping the future of sports technology. The priorities for this … deployment and monitoring. You also have extensive experience in several of the following areas: GPU acceleration; inference at scale on both edge devices and cloud; real-time systems; active-learning; and MLOps. Communication skills. You can easily and clearly express yourself verbally and in a written format. You're able to convey complex technical concepts and trade-offs to More ❯

for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We’re looking for a Senior Machine Learning Engineer to join our team and deliver new experiences and valuable insights to our coaches, athletes, and fans. You’ll drive game-changing initiatives that use cutting-edge computer … vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools. As a Senior ML Engineer, your priorities will include: Delivering for customers at scale. Design, build and deploy ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports matches. Leading More ❯

Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases … is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature … experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques More ❯

Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases … is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature … experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques More ❯

world problems. Our client is looking for a Head of AI to lead our small but mighty AI team and shape the future of autonomy, computer vision, and machine learning at the heart of our products. What You’ll Do Own and drive our AI strategy end-to-end Build and lead a high-performing team Work closely with … data pipelines, and deployment Keep us ahead of the curve in AI innovation What You’ll Need Experience leading AI or ML teams (ideally in robotics or autonomous systems) Deep knowledge of CV, deep learning, RL or SLAM Strong Python and ML stack (PyTorch, TensorFlow, etc.) Startup mindset: hands-on, agile, and impact-driven Why Join Us More ❯

opening up possibilities to build far richer, more capable intelligent behaviours. This is a unique opportunity to help build a dedicated AI function focused on embedding cutting-edge multimodal learning models into next-gen robotic platforms. The role will involve defining the long-term roadmap for how intelligence is deployed across the stack, from perception through to action—combining … understanding, decision-making, and control into unified, responsive behaviours. To be successful in this role, you’ll need to bring: Strong technical leadership across applied AI/ML, with deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision, language understanding, and interactive learning (LLM, VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days More ❯

opening up possibilities to build far richer, more capable intelligent behaviours. This is a unique opportunity to help build a dedicated AI function focused on embedding cutting-edge multimodal learning models into next-gen robotic platforms. The role will involve defining the long-term roadmap for how intelligence is deployed across the stack, from perception through to action—combining … understanding, decision-making, and control into unified, responsive behaviours. To be successful in this role, you’ll need to bring: Strong technical leadership across applied AI/ML, with deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision, language understanding, and interactive learning (LLM, VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days More ❯

technology, and mission-driven impact on the world of sport. The Opportunity: They are now looking for an Applied Researcher/Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer vision and deep learning … globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real value to users. Technical Requirements: Strong experience in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at More ❯

technology, and mission-driven impact on the world of sport. The Opportunity: They are now looking for an Applied Researcher/Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer vision and deep learning … globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real value to users. Technical Requirements: Strong experience in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at More ❯

opening up possibilities to build far richer, more capable intelligent behaviours. This is a unique opportunity to help build a dedicated AI function focused on embedding cutting-edge multimodal learning models into next-gen robotic platforms. The role will involve defining the long-term roadmap for how intelligence is deployed across the stack, from perception through to action—combining … understanding, decision-making, and control into unified, responsive behaviours. To be successful in this role, you’ll need to bring: Strong technical leadership across applied AI/ML, with deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision, language understanding, and interactive learning (LLM, VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days More ❯

Salary: 75.000 - 95.000 € per year Requirements: • Strong foundational knowledge in machine learning and deep learning architectures and principles • Proficiency in Python, with hands-on experience in TensorFlow or PyTorch • Practical understanding or demonstrated interest in the topics of ML safety, security and privacy • Experience with Git for source control and containerized development • Strong organizational and time-management … skills with the ability to work independently • Excellent written and verbal communication skills in English Responsibilities: • Contribute to the development of our AI testing platform by implementing advanced machine learning validation techniques • Analyze and apply relevant research in the areas of ML safety, security and privacy • Identify opportunities to integrate emerging testing methodologies into existing workflows • Design and maintain … strategies to address challenges encountered in ML compliance assessments • Build and refine customer-specific ML test solutions tailored to real-world applications Technologies: AI Cloud Embedded Git Support Machine Learning Mobile PyTorch Python Security TensorFlow More: Cinemo is seeking a highly skilled and motivated AI Validation Engineer (f/m/d) to support the development and integration of More ❯

Are you an ambitious AI Engineer ready to apply cutting-edge machine learning to the frontier of media integrity and security? We’re looking for a creative and technically sharp AI Engineer to join a fast-moving team on a mission to combat synthetic media and digital impersonation using state-of-the-art AI. In this hands-on role … you’ll research, develop, and deploy machine learning models that detect deepfakes across audio, video, and images—helping build real-time detection systems used by enterprise and government clients. From transformer-based architectures to adversarial model training, you’ll work with high-impact, real-world datasets and see your models directly shape mission-critical tools. Whether you're early … Flexibility : Work remotely or from our London office, with flexibility to match how you work best. What We’re Looking For: 2–4 years of experience in applied machine learning or AI research Strong programming skills in Python and frameworks like PyTorch or TensorFlow Experience with deep learning architectures (e.g. CNNs, transformers, or GANs) Familiarity with audio More ❯

Are you an ambitious AI Engineer ready to apply cutting-edge machine learning to the frontier of media integrity and security? We’re looking for a creative and technically sharp AI Engineer to join a fast-moving team on a mission to combat synthetic media and digital impersonation using state-of-the-art AI. In this hands-on role … you’ll research, develop, and deploy machine learning models that detect deepfakes across audio, video, and images—helping build real-time detection systems used by enterprise and government clients. From transformer-based architectures to adversarial model training, you’ll work with high-impact, real-world datasets and see your models directly shape mission-critical tools. Whether you're early … Flexibility : Work remotely or from our London office, with flexibility to match how you work best. What We’re Looking For: 2–4 years of experience in applied machine learning or AI research Strong programming skills in Python and frameworks like PyTorch or TensorFlow Experience with deep learning architectures (e.g. CNNs, transformers, or GANs) Familiarity with audio More ❯

Principal AI Engineer to drive the design and deployment of robust, explainable, production-grade AI systems. You'll collaborate across technical teams to deliver solutions and leverage advanced ML, deep learning, and statistical methods. Your work will span from prototyping to deploying AI services in production with a strong focus on performance, explainability, and cost-efficiency. What You … ll Bring: Deep applied experience in ML/DL , with bonus points for work in threat detection , phishing , or abuse detection Proven ability to design and deploy full-stack AI pipelines in production Strong experience in backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating More ❯

Principal AI Engineer to drive the design and deployment of robust, explainable, production-grade AI systems. You'll collaborate across technical teams to deliver solutions and leverage advanced ML, deep learning, and statistical methods. Your work will span from prototyping to deploying AI services in production with a strong focus on performance, explainability, and cost-efficiency. What You … ll Bring: Deep applied experience in ML/DL , with bonus points for work in threat detection , phishing , or abuse detection Proven ability to design and deploy full-stack AI pipelines in production Strong experience in Back End engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience More ❯