401 to 425 of 478 Remote Deep Learning Jobs

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £59.5–76.5k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

enabled visualizations using Azure Maps Expertise in Azure App Services, Azure ML Studio WS, Power BI, Azure Function Apps, Azure Container Apps, Azure API Management Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search Ability to work with large data sets to improve performance efficiency. Develop visual representations … Proven experience in leading projects and teams, including the mentorship of AI engineers The ability to engage in critical evaluation of information, hypothesis testing, and scenario analysis. Flexibility in learning and adopting new technologies, methodologies, and tools to stay at the forefront of AI trends. A degree in computer science, software engineering, or a related field Skill Required/… Desired Amount of Experience Experience with ReactJS Required 5 Years Experience with Agentic AI Skills (AI Models, ML, LLM, Deep Learning) Required 2 Years Experience building high performance solutions to leverage large data sets Required 5 Years Experience with HTML5/CSS3 Required 5 Years Experience integrating with deck.gl Required 1 Years Experience with building BI widgets and More ❯

role Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal … reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc) Familiarity with UK open source data and datasets valuable to personal lines insurance pricing More ❯

role Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal … reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc) Familiarity with UK open source data and datasets valuable to personal lines insurance pricing More ❯

This role is about applying AI to cyber applications, and skills in AI/ML are as important to us as much as Cyber skills. Skills Technical domain expert: Deep technical or domain expertise in applied AI and ML techniques. Qualifications: Strong academic record in technology specialism with post-graduate qualification(s) (PhD or equivalent research experience). Expert … and build trials to test the concept. Experience Technical domain expert: Evidence of significant knowledge and skill relevant to applied Data Science using AI and ML techniques. Skill in Deep Learning and LLM methods and Python coding skills. Significant delivery: Evidence of significant business impact through delivery of research. Stakeholder management: Evidence of managing project stakeholders across the … ll get stuck in to tough challenges, pitch in with ideas, and make things happen. But you won’t be alone: we’ll be there with help and support, learning and development. This is your chance to make a real difference to the world: to be part of the digital transformation of countless lives and businesses. Grab it. Although More ❯

for a Data Scientist - Commercial Insights to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets. At M-KOPA, machine learning research isn't conducted in an academic vacuum-it's deployed to empower millions of people across Africa. As our Commercial Research Scientist working remotely with our central Data … theoretical innovation and transformative application. You'll tackle complex modelling challenges that require both academic rigor and practical ingenuity. Your research won't just advance the field of machine learning-it will directly influence strategic decisions, optimize product performance, and shape the future direction of M-KOPA's offerings. Working in a fully remote capacity, you'll collaborate with … determine how we extend credit, optimize our operations, and develop new products that bring digital and financial services to those traditionally excluded from the system. Imagine seeing your machine learning innovations translated into real stories of impact: a small business securing its first inventory loan, a family accessing educational content through their first smartphone, or entire communities gaining financial More ❯

experience 3+ years of software development experience Experience with cloud services and architectures (e.g. AWS, Azure) Experience with version control, reproducibility, and CI/CD pipelines for deploying machine learning models Excellent written documentation skills to document code, architectures, and experiments Experience with ML model monitoring systems Experience with ML training and data pipelines and working with distributed systems … Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray) Preferred Qualifications Experience owning a product from development through monitoring and incident response Knowledge of the design, manufacturing, AEC, or media & entertainment industries Experience with Autodesk or similar products (CAD, CAE, CAM, etc.) Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with More ❯

Earth data to its limits to deliver insights no one else can, developing products that combine satellite imagery and expert ground truth with the very best observational science and deep learning tools to support clients across the world, powering everything from smallholder farming programmes in Africa to biodiversity net gain compliance in the UK. We’re a multidisciplinary … Ability to thrive in a fast-paced, dynamic environment with shifting priorities. •Excellent problem-solving and communication skills. • Proximity to our Penryn office in Cornwall, UK. •Experience supporting machine learning workflows, especially for large model training. •Familiarity with handling geospatial datasets and related libraries (e.g., GDAL, GeoPandas, Rasterio). •Familiarity with data cataloguing tools and practices. •Prior experience in More ❯

Social network you want to login/join with: Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in machine … learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the … boundaries of what’s possible. Nice to have experience in: Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote work with offices in Cambridge or London The chance to publish and share your work with the broader research community Collaborate with a world-class team of researchers and engineers Work More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We aim for AI to be safe and beneficial for users and society. Our team is a growing group of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As … a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, enhancing reasoning abilities in areas like code generation and mathematics, and exploring reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement … novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling complex, open-ended tasks. Design and conduct experiments to enhance models' reasoning capabilities, especially in code generation and mathematics. You may be a good fit if you: Have 5+ years of industry-related experience Are More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial … AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics. You More ❯

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning research engineers 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 … 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 ❯

Software Engineer - AI Framework Hybrid Work Full-Time An innovative semiconductor team is seeking a Software Engineer with deep expertise in AI and machine learning frameworks to help build the next generation of GPU and AI acceleration solutions. This is a unique opportunity to contribute to cutting-edge technology focused on delivering high-performance and energy-efficient compute … to guide architectural decisions. Extend support to additional frameworks (e.g., TensorFlow, ONNX). Produce developer documentation and resources. Requirements: 5+ years of experience in AI/ML software development. Deep understanding of PyTorch internals and other major ML frameworks. Experience optimizing deep learning performance on accelerator hardware. Solid knowledge of deep learning algorithms and compute More ❯

an urgent need for a senior full stack AI Engineer. In order to be considered for this role you will need to have - A strong background in applied machine learning with a focus on deep learning, NLP and generative AI. Excellent experience with Python and advanced ML/LLM frameworks. Expertise implementing LLM-based systems and agent 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 ❯

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 ❯

product 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. More ❯

engaging with our direct line of business to articulate Cisco's strategy, design & execute on combined automation assurance solutions in the field. This role requires extensive leadership experience, a deep understanding of automation and assurance technologies, and a strong ability to communicate sophisticated technical concepts to a diverse audience. You'll have the ability to own the team that … you've been instrumental in driving the GTM strategy. You have a proven track record of leading large, distributed teams to success, ensuring alignment across multiple departments. You possess deep expertise in the Technology industry and key performance metrics. You excel in drawing insightful business conclusions from sophisticated data sets, and your strong executive-level presence enables you to … technical messaging with marketing as the voice of the customer. Basic understanding of NETCONF/YANG, REST, JSON, Network telemetry. Strong understanding of AI/ML concepts, techniques & infrastructure (learning models, LLM, GenAI, AGI, NLP, neural networks, deep learning, AI Frameworks, GPU and DPU). Understanding of automation tool sets (Ansible, Terraform, ROBOT) with a strong focus 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 … London, England, United Kingdom 1 week ago London, England, United Kingdom 4 days ago London, England, United Kingdom 4 weeks ago London, England, United Kingdom 1 week ago Machine Learning Scientists and Engineers: AI for Quantum London, England, United Kingdom 1 month ago City Of London, England, United Kingdom 1 week ago Graduate Software Engineer – ML Data Platform London … London, England, United Kingdom 4 weeks ago London, England, United Kingdom 4 days ago London, England, United Kingdom 1 day ago London, England, United Kingdom 38 minutes ago Machine Learning Engineer for Game Technology London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 days ago Greater London, England, United Kingdom 1 week ago London, England, United More ❯

productive, and driving our mission to deliver targeted insurance solutions to our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has … can better serve our diverse customer needs. This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal … and external) that improves our modeling and machine learning results (and ultimately our business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also manage projects of medium complexity. Job Description Key responsibilities: Uses best practices to develop statistical, machine learning techniques 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 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 skills along with excellent written and verbal communication skills. What's in it for you! We are committed to supporting 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 ❯

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 ❯