51 to 75 of 87 Deep Learning Jobs

looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This hybrid leadership role sits across machine learning infrastructure, platform engineering and MLOps. You will be responsible for designing … that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone ...

platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At GSK, we see a world where advanced applications of Machine Learning and AI enable us to develop transformational medicines that drive better outcomes for patients at reduced cost and with fewer side effects. AI will … more, feel better, and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. About the Role To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track ...

harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President – Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‐edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility depending ...

Calgary, AB, Mexico City, MX, London, UK (hybrid - 2 days onsite per week) The Team The Collection Platforms & AI team focuses on building machine‐learning powered products and capabilities to power natural language understanding, data extraction, information retrieval, and data sourcing solutions for S & P Global and its clients. … solve high‐impact business problems. What’s in it for you You will work on a dynamic team solving diverse problems using applied machine learning and web development from inception to production. Be part of a global company and build solutions at enterprise scale. Contribute to solving high‐complexity ...

Amazon UK Services Ltd. Overview Amazon’s Middle Mile Science group is looking for a Senior Applied Scientist to build machine learning and optimization models to support pricing and revenue management of its external freight business. This includes the development of novel forecasting and dynamic pricing models, as well … causal inference and artificial intelligence techniques, to improve marketplace services and execution for our customers. The Middle Mile Science group develops optimization and machine learning systems that power Amazon's freight transportation network, from network design and pricing to real-time load planning and capacity utilization. The scale ...

client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with researchers to align engineering work with research objectives and project goals Requirements … Computer Science or related subject Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience ...

recruiter directly. At GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This … ambitious mission requires scalable, cloud-native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat. About the Role To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with ...

global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets … research engineer. A track record of performing high quality ML research, evidenced by publications at major ML venues. A strong foundation in machine learning and experience with state-of-the-art modelling approaches, especially foundation models. Demonstrated programming expertise in Python and experience working with different types of complex ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with the following Machine … Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model for GPU usage ...

will change lives. Including your own. The Impact You’ll Make You will lead a team working to build, scale, and optimize the machine learning infrastructure that powers Recursion's drug discovery platform. From model training pipelines to production deployment systems, to agent infrastructure and Large Language Models … engineers to train, deploy, and monitor models across Recursion's massive datasets. With billions of compounds, 30+ petabytes of experimental data, and complex deep learning workloads, your team enables everything from automated compound screening models to clinical trial prediction systems. You will work closely with researchers ...

achievable improvements that get used every day. We’ll Count on You To: Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale websites and applications. Work as part … stakeholders to understand business needs, define and develop applications/architecture, design, review, implement and optimize Engineering processes. Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownership Maintain and enhance microservices based components for the application suite. Recommend ...

achievable improvements that get used every day. We’ll Count on You To: Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale websites and applications. Work as part … stakeholders to understand business needs, define and develop applications/architecture, design, review, implement and optimize Engineering processes. Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownership Maintain and enhance microservices based components for the application suite. Recommend ...

London and requires a Master's degree as well as expertise in programming languages like Java, C++, and Python, as well as machine learning and neural deep learning methods. The position is full-time but does not offer visa sponsorship. This role requires strong technical skills ...

this. Desirable Direct experience working with a longitudinal care record or linked dataset within an ICB footprint. Experience of data products that incorporate Machine Learning methods. Experience using primary care data in an analytical context. Experience using Patient-Level Information and Costing Systems (PLICS) to analyse cancer spend … techniques for conducting analysis with unstructured data, such as text (e.g. use of Natural Language Processing techniques) and image. Understanding of neural networks/'deep learning' and how these techniques could be applied in the Health and Social Care Domain. Developed knowledge of professional standards (including Code ...

production, regularly working on prototypes with a short turnaround into customer-facing production. You will work alongside world‐class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. What … Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for: 3D reconstruction Neural scene representations 3D Gaussian Splatting Geometric deep learning Structure-from-Motion (SfM) Feed-forward models Spatial foundation models Collaborate with research scientists and engineers to transition ...

.000 € per year Requirements: Expertise in modern cloud/cloud-native architectures and a proven track record delivering production-grade AI/ML solutions (deep learning, generative AI) that solve real business problems. Hands-on experience designing scalable, production-ready AI systems and leading greenfield builds, migrations … management, guiding technical teams, driving multiple strategic initiatives autonomously. Strong analytical problem-solving capabilities, excellent composure and decision-making skills under pressure and ambiguity. Deep, up-to-date, hands-on knowledge of designing and deploying AI-first architectures and secure API integrations across multi-cloud solutions (especially Microsoft Azures ...

innovative Ed-Tech company in Greater London seeks an AI Research & Development expert. You will apply deep learning and NLP to create scalable solutions for personalized learning experiences. The ideal candidate has serious industry background, holding a PhD and at least 4 years of experience. ...

Branch) Tech Stack Java Python ATS C Basic Qualifications Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building... Overall, we appreciate the value of correct modeling. Compensation and Role Type Compensation: Competitive ...

Join Axon in London as a Machine Learning Scientist, where you will advance AI technologies for law enforcement. The role emphasizes collaboration and innovation, supported by a hybrid work model that fosters teamwork and mentorship. Ideal candidates will have a PhD and extensive experience in LLM, MLLM, and Computer … Vision, alongside strong programming skills in Python and deep learning frameworks. #J-18808-Ljbffr ...

scale a national healthcare communication platform. As a Staff ML/AI Engineer, you'll operate across multiple product and platform teams – diving deep into selected ones to help them achieve great results with AI and ML. One key team you'll work closely with is our Triage Intelligence … product objectives into capabilities with group‐wide impact – and leading decisively when the path forward is unclear. You should apply if... You have deep expertise across a range of ML techniques (e.g. Transformer‐based NLP, Deep Learning, Tree‐based methods, Bayesian modelling) and the judgment to select ...

Level etc). Skilled in building computer vision solutions, with a focus on object detection and motion tracking. Knowledgeable in modern machine learning techniques, including convolutional neural networks (CNNs) and transformer models. Ideally you'll have experience with tracking methods, including the use of Kalman filters. Aware of traditional … status. Keywords: Computer Vision Engineer/Machine Vision Engineer/Imaging Scientist/AI Engineer/Vision Systems Developer/Image Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm ...

automation capabilities to define assay and data readout specifications for pod programs entering automated workflows when applicable. 4. Scientific Leadership and External Engagement Maintain deep subject-matter expertise by staying current with advances in AI for biologics design and structure prediction; translate emerging capabilities into actionable proposals … 10+ years of drug discovery experience with a demonstrated track record of computational impact on large-molecule or biologics programs; industry experience strongly preferred. Deep expertise in antibody and protein sequence, structure, and function modeling, with proficiency in generative or predictive AI frameworks applied to biologics design. Broad proficiency ...

leading global healthcare company in Greater London is seeking AI/ML Engineers to drive the development of machine learning models for scientific tasks. The ideal candidate will have a degree in a quantitative field and experience with deep learning frameworks like PyTorch or TensorFlow. Responsibilities include ...

designing ML algorithms in Python. Candidates with a Master's or PhD in Computer Science and 4+ years of relevant experience, particularly in deep learning and NLP, are encouraged to apply. The position offers competitive salary, equity, and hybrid working options. #J-18808-Ljbffr ...

time in understanding the architecture and domain before making changes to the most critical components. Were looking for someone who enjoys that kind of deep learning and is keen to build long-term expertise that enables them to take on greater ownership and impact. Good team player Autonomous ...