101 to 125 of 459 Deep Learning Jobs

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating … classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office ...

Application Development & Integration Full-stack software engineering expertise across Java, Python, .NET, JavaScript/TypeScript, Node.js, React, Angular, and modern web technologies. Deep experience in API development, Microservices, Event-Driven Architectures, Enterprise Integration, and Distributed Systems design. Cloud, Platform Engineering & Infrastructure Expertise in Azure, AWS, and GCP with strong … Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, HuggingFace ...

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through … pick up new tools and languages quickly - is an advantage. This Role In this role, you'll work alongside our Data Scientists, Machine Learning Engineers, and (with support) our customers to help define and solve engineering challenges. You'll contribute to delivering high-fidelity simulations by: Building models from ...

from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. Build dashboards and lightweight applications that communicate … Experience with geospatial analysis tools, such as ArcGIS or ArcPro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau Experience with deep learning frameworks, such as PyTorch or TensorFlow, and modern AI patterns such as retrieval-augmented generation ( RAG ) for analytic workflows Experience supporting CCMDs, service ...

Applied Artificial Intelligence and Machine Learning (Applied AI/ML) team within Infrastructure Platforms is transforming how the firm delivers strategic infrastructure platforms-based solutions—both by applying AI/ML within engineering workflows and by building scalable AI hosting platforms and capabilities for enterprise use. As Lead Data … production drift monitoring, supported by automated data profiling and quality checks (leakage detection, imbalance, missingness) Select and apply models end-to-end across ML, deep learning, and LLM-based approaches, including training, tuning, calibration/thresholding, robustness testing, and structured error/failure-mode analysis. Co-Develop ...

role, you will work on AI projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a background generative AI and natural language processing, and thrive in a collaborative and high-impact environment, we'd love to hear from … encourage you to apply for this exciting opportunity at Pigment. Experience building and shipping complex products on top of LLMsExperience with LLM or deep-learning–based tabular data understanding, including methods for interpreting complex spreadsheets, schema inference or table representation learning (e.g., TAPAS, TaBERT, TURL, and more ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

Researcher positions in probabilistic machine learning: Research Fellow, Postdoc and PhD Student Manchester Centre for AI Fundamentals has researcher positions open at several levels: Research Fellow, Postdoc and Postgraduate Research Student (funded). DL June 30, 2022 I am hiring researchers to my team working on probabilistic machine learning. … Keywords include: Bayesian inference, reinforcement learning and inverse reinforcement learning, automatic experimental design, multi-agent learning, Bayesian deep learning, amortized inference, human-in-the-loop learning, user modelling, collaborative AI, privacy-preserving learning, likelihood-free inference. Different researchers work on different but related ...

owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. We're looking for a Senior Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap! What you’ll do: Develop ML-products and AI Lenses that serve … keep Snap’s products at the cutting edge Evaluate open-source Gen AI models and APIs Knowledge, Skills & Abilities: A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly Knowledge of mathematics and deep learning foundations ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber … BUSINESS : As a Lead Data Scientist at our client, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

client engagements and across the practice. You will own the complete, end-to-end architecture of advanced AI platforms and solutions — spanning classical machine learning, generative AI, and agentic systems — ensuring every domain of the architecture is cohesively designed, technically sound, and purposefully aligned to client business objectives … into a unified, enterprise-ready system Build the practice’s reusable reference architectures, frameworks, and assets, with a deliberate adopt-over-build stance Conduct deep‐divide architecture workshops and working sessions with client executives and engineering teams Produce and govern the authoritative architecture artifacts — blueprints, reference architectures, ADRs ...

promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business … agenda and encouraging engagement from the D&A team Qualifications Technical Knowledge, Skills and Abilities: Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. ...

promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business … agenda and encouraging engagement from the D&A team Qualifications Technical Knowledge, Skills and Abilities: Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating … classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating … classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating … classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office ...

frameworks, and tools; Champion responsible AI practices, including bias detection, explainability, and safety alignment. Требования: 5+ Years of professional experience building and deploying machine learning or AI systems in production; Proficiency in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX; Strong foundation … machine learning, deep learning architectures, and natural language processing, particularly large language models; Experience with cloud platforms such as AWS, GCP, or Azure and MLOps tools for managing the AI lifecycle; Ability to write clean, efficient, well-tested code for scalable software systems; Strong problem-solving skills ...

Expertise in designing, architecting, and implementing large-scale foundation models Significant hands‐on experience optimising and debugging deep learning models Practical experience with distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building … will do: Lead the research, development, and production deployment of Hypercritical's foundation model. Define the long-term technical strategy for high-performance Machine Learning systems. Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth. Serve as the technical guardian ...

Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed … team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting‐edge AI and Machine Learning (ML) technologies at the firm. In this role, you will have the opportunity to contribute to various AI/ML domains, including ...

through mentoring, workload and capacity visibility, regular reporting, and leadership of team engagement activities. Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R. Strong knowledge of AI frameworks such as TensorFlow or PyTorch. ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber … Data Scientist Manager at our client, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership ...

leading electric vehicle manufacturer in Greater London seeks a Staff Software Engineer specializing in machine learning infrastructure. The ideal candidate will optimize deep learning performance on NVIDIA GPU systems and manage large-scale model training. Applicants should possess a PhD in Computer Science or equivalent experience … have substantial knowledge in PyTorch and deep learning frameworks. This role contributes directly to safety-critical self-driving technologies for innovative vehicles. #J-18808-Ljbffr ...

Data Science & AI Consultant to work on complex, mission-focused programmes. This is an opportunity for a hands-on data science, machine learning or AI professional to work on projects where advanced technology can support better decision-making and improved operational outcomes. The Role You will work as part … Generative AI and Agentic AI , as well as contributing to client strategy and the development of future opportunities. Key Responsibilities Apply data science, machine learning and AI techniques to complex client challenges Explore data and develop models, prototypes and AI-enabled solutions Support the development and evaluation of solutions ...

adoption of new skills across different audiences and contribute to culture and social frameworks of UpSkill and client organisations. Adapt training materials to different learning environments and audiences, whether in-person or remote sessions. Stakeholder Engagement: Engage with a variety of stakeholders to understand their specific learning needs … such as AI, cloud technologies, or related fields, with a proven ability to engage participants, manage group dynamics, and adapt teaching methods to different learning styles Strong knowledge of AI technologies, including machine learning, deep learning, NLP, and computer vision. Experience with AI frameworks and tools. ...