176 to 198 of 198 Permanent Deep Learning Jobs

is growing fast, with several programs in in vivo optimization. We're a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. The Role As a Scientific Software Engineer in the product team supporting the daily activities … of scientists (physics, ML, deep learning) producing predictors and prediction workflows,you'll contribute to scaling the scientific logic and software that connect Aqemia's predictive models into advanced drug discovery workflows. You'll build the engine that enables large-scale computation and seamless data transformation. You'll work at the interface of cheminformatics, software engineering, and platform More ❯

in production environments, with a strong track record of designing and architecting distributed systems. Experience developing and deploying production-grade software using ML frameworks such as TensorFlow, PyTorch, etc. Deep understanding of engineering and infrastructure best practices, with a focus on the ML software development lifecycle. Expertise in building, fine-tuning, and optimizing Large Language Models (LLMs), transformer architectures … and advanced NLP systems using frameworks like Hugging Face and OpenAI SDKs. Strong background in modern deep learning techniques, LLMs, and data-intensive applications. Familiarity with state-of-the-art agentic AI frameworks (e.g., LangChain, AutoGen, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, Google's ADK) and experience orchestrating multi-agent workflows. Knowledge of techniques for optimizing ML inference performance. More ❯

position is for an experienced candidate with the ability to start immediately to work on cutting-edge AI for real-world inspection and robotic guidance systems You will: Develop deep learning models for segmentation, defect detection, and classification. Validate and optimize models for accuracy, speed, and reliability. Collaborate with cross-functional team to integrate models into production inspection … designs, results, and best practices, and communicate effectively across teams. What you'll bring: Degree in Engineering, AI, Computer Science, Data Science, or a related field. Foundations in machine learning and computer vision. Strong Python skills with frameworks/tools such as PyTorch, TensorFlow, and OpenCV. Knowledge of version control (Git) and collaborative software practices. Problem-solving ability, adaptability … TrueLight? Impactful Innovation: Work on cutting-edge AI projects that solve real problems in manufacturing, and see your AI solutions deployed in manufacturing facilities, delivering measurable improvements. Growth and Learning: TrueLight and BOS Innovations are committed to developing people into skilled professionals of character and competence. Expect a company that invests in your career trajectory. Startup Culture with Stability More ❯

early-career role ideal for recent engineering graduates or junior professionals eager to work on cutting-edge AI for real-world inspection and robotic guidance system. You will: Develop deep learning models for segmentation, defect detection, and classification. Validate and optimize models for accuracy, speed, and reliability. Collaborate with cross-functional team to integrate models into production inspection … designs, results, and best practices, and communicate effectively across teams. What you'll bring: Degree in Engineering, AI, Computer Science, Data Science, or a related field. Foundations in machine learning and computer vision. Strong Python skills with frameworks/tools such as PyTorch, TensorFlow, and OpenCV. Knowledge of version control (Git) and collaborative software practices. Problem-solving ability, adaptability … TrueLight? Impactful Innovation: Work on cutting-edge AI projects that solve real problems in manufacturing, and see your AI solutions deployed in manufacturing facilities, delivering measurable improvements. Growth and Learning: TrueLight and BOS Innovations are committed to developing people into skilled professionals of character and competence. Expect a company that invests in your career trajectory. Startup Culture with Stability More ❯

Machine Learning Engineer - Tooling Experience (Waterford, Ireland) page is loaded Machine Learning Engineer - Tooling Experience (Waterford, Ireland) Apply remote type Hybrid locations Waterford City time type Full time posted on Posted Yesterday job requisition id R-043833 Company Description At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack … focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges. Red Hat's Global Engineering team is looking for an experienced Machine Learning Engineer to join the Agentic and AI Engineering Tools team . In this role, you'll contribute directly to Red Hat's rapidly growing AI/ML family of … technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling. What you will bring: 3+ years of experience as a Machine Learning Engineer or similar role. Experience in ML and AI , or other deep learning-related independent project work with evidence of completion. Experience with data ingestion or processing More ❯

we are looking for We are looking for someone with proven experience in data architecture with a track record in large-scale data transformation initiatives. We are looking for deep technical expertise and retail domain knowledge and familiarity with Retail Industry Logical Data Models. Alongside this you will also bring: Strong experience in Data Management and Analytics in Google … and AWS platforms Experience of Information Security and GDPR, privacy and compliance regulations Data Modeling and Machine Learning It would be advantageous to have knowledge in/or/be familiar with Application Integration, and AI/Deep Learning Techniques Excellent analytical, planning, organisational and technical and skills along with excellent written and verbal communication skills What More ❯

future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative AI, and more. We are passionate about what we do. What's In It For You Bloomberg is … with natural language processing applications and services in finance or a related industry; a good understanding of financial markets, instruments and products Advanced degree in natural language processing or deep learning Engagement with the research community and a publication record in relevant venues Experience working with cross-functional teams Strong problem solving skills Strong communication and teamwork skills More ❯

connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENTIST KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL NETWORKS … CLOUD INFRASTRUCTURE/ARTIFICIAL INTELLIGENCE/INNOVATION/SECURITY CLEARANCE/DV CLEARED/SC CLEARED/SC CLEARANCE/SECURITY CLEARANCE/DV CLEARANCE/DEVELOPPED VETTING/DEEP VETTING/DEVELOPPED VETTED More ❯

Skills & Experience Background in information security and the ability to implement secure AI systems. Experience in process automation and leveraging AI/ML technologies to solve business challenges. Experience Deep Learning and NLP, including a strong understanding of LLMs and RAG frameworks. Hands-on experience with vector databases and cloud/container orchestration tools like Docker and Kubernetes. More ❯

deliver new experiences and valuable insights to our coaches, athletes and fans. You'll help us build and deploy 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 MLOps Engineer, your priorities will include More ❯

processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we're one of the fastest-growing companies in our space. We have … you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use. … Backend: Python - Frontend: Typescript and React - Kubernetes for deployment - GCP for underlying infrastructure - Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary, commission and equity More ❯

and play a significant role in developing next-generation core algorithms of the company. As our Research Scientist, you will help design, implement, and validate new computational and machine learning frameworks. You will work alongside our talented team of scientists and engineers to develop prototype and clinical software. In particular, you will: Shape our real-time surgical guidance technology … by developing state-of-the-art computational and machine learning methods for hyperspectral imaging data. Design and implement algorithms for hyperspectral image data processing, from low-level image reconstruction to deep learning-based tissue property estimation and semantic segmentation tasks to stereo vision reconstruction for multi-view surgical guidance. Contribute to the dissemination through patenting and clinical … a commercial medical device, we are excited to now place our patented technology into the hands of surgeons. We are building our company at the intersection of surgery, machine learning and interventional image computing for optical systems to increase surgical precision and patient safety. We are backed by a highly experienced syndicate of European and American HealthTech investors, including More ❯

designed to feel just like talking to a human. Who we are MetaVoice was founded by: Sid, founding engineer at Wayve.ai (raised $1Bn+) Vatsal, co-created Alexa’s first deep learning voice. We’re a small mission-driven team obsessed with making voice the most natural way to interact with AI. We’re backed by top tier US More ❯

designed to feel just like talking to a human. Who we are MetaVoice was founded by: Sid, founding engineer at Wayve.ai (raised $1Bn+) Vatsal, co-created Alexa’s first deep learning voice. We’re a small mission-driven team obsessed with making voice the most natural way to interact with AI. We’re backed by top tier US More ❯

designed to feel just like talking to a human. Who we are MetaVoice was founded by: Sid, founding engineer at Wayve.ai (raised $1Bn+) Vatsal, co-created Alexa’s first deep learning voice. We’re a small mission-driven team obsessed with making voice the most natural way to interact with AI. We’re backed by top tier US More ❯

designed to feel just like talking to a human. Who we are MetaVoice was founded by: Sid, founding engineer at Wayve.ai (raised $1Bn+) Vatsal, co-created Alexa’s first deep learning voice. We’re a small mission-driven team obsessed with making voice the most natural way to interact with AI. We’re backed by top tier US More ❯

designed to feel just like talking to a human. Who we are MetaVoice was founded by: Sid, founding engineer at Wayve.ai (raised $1Bn+) Vatsal, co-created Alexa’s first deep learning voice. We’re a small mission-driven team obsessed with making voice the most natural way to interact with AI. We’re backed by top tier US More ❯

Unser Ziel ist es, Sehkraftverlust und letztlich Erblindung zu verhindern, indem wir KI-Software entwickeln, die Augenärzte bei der Therapieplanung für ihre Patienten unterstützt. Wir verwenden computergestützte Deep-Learning-Modelle (KI), die auf Tausenden von Fällen und Millionen von Bildern trainiert wurden, um das Fortschreiten der Krankheit vorherzusagen, die Therapie zu individualisieren und die klinischen Ergebnisse zu verbessern. More ❯

design and optimise high-performance systems—from GPU-accelerated clusters to AI-ready architectures—ensuring scalability, security, and future-readiness. Your work will directly enable groundbreaking research in machine learning, agent-based modelling, and large-scale simulations. What You’ll Do Architect and manage HPC clusters tailored to data-intensive social science research. Integrate GPU acceleration and AI-optimised … hardware for deep learning and advanced analytics. Collaborate with researchers to deliver bespoke computing solutions that elevate research productivity. Lead the evolution of hybrid cloud/on-prem HPC environments. Ensure robust security and compliance across all infrastructure. Deliver expert-level support and training to empower researchers with cutting-edge tools. Champion sustainability and innovation through energy-efficient 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 ❯

everything that's going on in the company, so it's a real opportunity to learn and grow with us as we scale, and we'll invest in your learning and development. We're highly ambitious, and we hope that you are too; you're likely to be a fast learner, curious, and able to identify how and where … information, such as payroll, pension schemes or contracts. About nPlan: Our purpose is to inspire the world to forecast correctly and empower it to tackle risk, powered by our deep learning technology and its unique ability to forecast the outcomes of construction projects. We're on a mission to change how construction projects are planned, managed and executed … can move effectively and efficiently to implement the best solutions. We are a cross-disciplinary team, and come from all backgrounds and countries. Fantastic benefits package for Health & Wellbeing, Learning & Development, family leave, and more. We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a diverse team where More ❯

data from our core technologies Collaborate with data scientists and engineers to integrate models into pipelines and tools. Stay current with academic and industry advances in temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth … knowledge of machine learning for time-series, including RNNs, LSTMs, GRUs, transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models). Experience designing or adapting dynamic programming algorithms. A graduate degree (PhD or MSc) in Computer Science, Mathematics, Physics, Bioinformatics, or a related field Ability to work in a research-style setting and translate ideas More ❯