276 to 300 of 336 Remote Deep Learning Jobs

grade AI tools from scratch — not just research, but deployment-ready systems that will be used in dental clinics across the UK and beyond. 💡 What You’ll Do: • Build deep learning models for CBCT/CT image segmentation, landmark detection, and implant planning • Research and develop new pipelines for 3D imaging • Deploy models into production environments • Work closely … and senior AI leadership • Help shape the future of real-time dental AI tools ⸻ 🔍 What We’re Looking For: • Strong experience with PyTorch (not just MONAI) • Recent, hands-on deep learning work with CT, CBCT, MRI or XA • Background in medical image segmentation and related tasks • Exposure to cloud computing (AzureML, GCP, or AWS) • Familiarity with Docker, Git 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 ❯

AI to lead a team of data scientists. Responsibilities include building team capabilities, setting objectives, and ensuring successful project delivery. Skills and Experience Expertise in data science and machine learning techniques (supervised, unsupervised, deep learning); knowledge of generative AI is desirable. Strong knowledge of statistics, applied mathematics, and scientific analysis with proven experience in delivering organizational benefits. … Proficiency in exploratory data analysis and handling large datasets. Experience with Machine Learning Ops and A/B testing. Understanding of responsible and ethical AI practices. Skills in programming languages such as Python, R, or C++. Responsibilities Delivering efficiency and customer benefits through data science and AI. Strategizing on the responsible use of data science and AI for automation … and insights. Collaborating with stakeholders to prioritize projects. Operationalizing data science and machine learning solutions. Leading and developing the data science team, including line management of Principal Data Scientists. Next Steps Please apply with your updated CV for more information. Additional Details £1100/day, provided by Talent International UK and subsidiaries. Employment agency details and terms can be 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

jobs, and they are looking for top recruiters to connect directly with the most impressive DeepTech businesses worldwide to place the TOP 1% across Robotics, Computer Vision, GenAI, Machine Learning, Deep Learning, Reinforcement Learning, and more. Now, about the logistics of the role: Ideally 2 days in their Canary Wharf office (could be 1 depending on More ❯

any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We’re looking for an Engineering Manager to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You’ll drive game-changing initiatives that use cutting-edge computer vision and … deep learning at scale to shape the future of sports, from professional teams to local high schools. Deliver for customers. You’ll independently manage your multidisciplinary team of 5 to 10 Engineers and Data Scientists, ensuring quarterly and annual goals are met while supporting their efforts to deliver high-impact results for customers and the business. Collaborate . … monitored complex AI/ML models and systems in production at scale. Strong technical proficiency. You have extensive experience in several of the following areas: machine vision (classical and deep learning), multi-view geometry, GPU accelerators, inference on edge devices, LLM’s models, real-time systems, and signal processing. Communication skills. You have excellent verbal and written communication More ❯

mode and are looking to advance their capabilities, increase the quality of their offering and evolve their platform. Required experience for the Senior/Principal AI Engineer role: Machine learning (ML), deep learning and statistical analysis skills – even better if these skills have been applied to threat detection, malware analysis, phishing and/or abuse detection. Experience More ❯

mode and are looking to advance their capabilities, increase the quality of their offering and evolve their platform. Required experience for the Senior/Principal AI Engineer role: Machine learning (ML), deep learning and statistical analysis skills – even better if these skills have been applied to threat detection, malware analysis, phishing and/or abuse detection. Experience More ❯