226 to 250 of 260 Deep Learning Jobs

and monitoring Ability to communicate clearly across technical and non-technical teams Strong data visualisation skills — ideas that land Nice to Have Background in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket MSc in Data Science or similar Why Apply? Excellent salary + benefits 25–30 days holiday + birthday off Hybrid working (London More ❯

Data Scientist in a commercial environment. A background leading Data Science teams in an eCommerce or conversion rate optimisation-focused environment is a plus. Hands-on experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow. Competencies across core programming language including Python, Java, C/C++, R. That you can work in More ❯

technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For We're seeking someone who combines deep technical expertise with creativity, collaboration, and drive: Deep learning expertise with 2+ years in language generation. Experience with LLMs, neurosymbolic integration, and knowledge representation. Strong Python skills More ❯

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 ❯

opportunities. Contribute to and execution of IoT strategy and roadmap for selected areas. Monitor developments of new technologies for IoT potential in future projects. Support analytical processes, like machine learning in use within proof-of-technology concepts to deployed IoT projects QUALIFICATIONS Bachelor’s degree in engineering or engineering-related areas: electrical, controls, systems, computer science, data science or … equivalent experience. 2+ years’ experience in manufacturing equipment controls, network design, embedded systems, machine learning and/or data engineering with a focus on the automotive industry. Understanding, extraction and interpretation of parameter data in a machine that represents the health of the machine components, proper operation, and effects on product quality. Understanding of statistical analysis methods and/… such as linear regression, clustering, neural network creation, etc. Experience implementing vision algorithms in C++, Python, HALCON, Matrox, Cognex, and/or Keyence, using traditional rules and/or deep learning WORKSTYLE Onsite position, Ohio site 90% office, 10% production floor (go to the spot) Travel to plant or special assignment What differentiates Honda and makes us an 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 ❯

history. Key Responsibilities: - Lead GTM to orchestrate sales motions for sales, marketing, partner, product, training, and professional services teams to accelerate adoption of your aligned technology domain. - Leverage your deep domain expertise to create best in class field enablement and sales strategy. - Support field teams in solution building for high priority customers. - Bring market signals back to product teams … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising … MBA/MS or equivalent relevant business experience. - Experience working with GenAI Foundation models, part of startups working on GenAI foundation models across modalities. - Hands-on working knowledge of deep learning and other ML algorithms and infrastructure. - Experience with cloud computing and or related fields. - Demonstrated ability to work effectively across internal and external organizations is key in More ❯

graph data (each with 10,000+ nodes), applying multiple ML and LLM approaches to understanding the data, extracting meaningful insights from it using a proprietary forecasting engine, and empowering deep human interactions - all of which must work efficiently and robustly in production. As a startup, we also keep agile in a fast-moving environment! With this technology, nPlan are … allowance, and enhanced family and sick leave policies. 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 … team, and come from all backgrounds and countries. We are able to offer Visa sponsorship and contribute to relocation costs for this role. Fantastic benefits package for Health & Wellbeing, Learning & Development, family leave, team meals and more. We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a diverse 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 ❯

to join our expanding team. Our current technology stack includes Python, C++, TensorRT-LLM, and Kubernetes. This role offers the opportunity to work on large-scale deployment of machine learning models for real-time inference. Responsibilities Develop APIs for AI inference used by internal and external clients Benchmark and optimize bottlenecks in our inference stack Enhance system reliability and … observability, and manage system outages Research and implement optimizations for LLM inference Qualifications Experience with ML systems and deep learning frameworks such as PyTorch, TensorFlow, ONNX Knowledge of LLM architectures and inference optimization techniques (e.g., batching, quantization) Experience deploying scalable, reliable, real-time model serving systems (Optional) GPU architecture understanding or CUDA programming experience The compensation range for 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 ❯

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 ❯

growth and continuous learning. Amazon’s work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. At Amazon we do highly support continued learning opportunities and focus on continued employee development. Our team owns the implementation, adoption, and maintenance of new disruptive and innovative Building Information Modeling (BIM) and GenAI technologies, both first … design, implement and launch new BIM-powered products and services that support the design, construction and operation of Amazon's global data center facilities. The ideal candidate will possess deep expertise in developing secure, scalable BIM software solutions, ideally in the context of the AEC industry. You should have a proven track record of leading the architecture, design and … implementation of highly available, distributed systems. Strong technical skills are a must, but you'll also need to demonstrate your ability to dive deep, define product strategy, and drive change across medium to large engineering initiatives. This is a unique opportunity to blend your BIM solutions engineering prowess with a customer-obsessed, innovative mindset. You'll navigate ambiguity, champion 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 ❯

the gap between marketing and technology, supporting the client in assessing, implementing, and optimizing marketing technology solutions to enhance our clients' marketing strategies and operations. This role requires a deep understanding of marketing technology landscapes, strong analytical skills, and the ability to collaborate with cross-functional teams. About the Role - Required skills and experience: 4-5 years in Digital … Marketing Technology: as a consultant, Technical BA or product owner. Deep understanding of MarTech landscape: Comprehensive knowledge of various marketing technology platforms like CRM, DAM, dynamic creative optimization (DCO), GenAI, Deep Learning, CDP, marketing automation tools, email marketing platforms, social media management tools, analytics platforms, etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data 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 ❯