301 to 321 of 321 Remote/Hybrid PyTorch Jobs

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the ...

into working software. Experience with any of the following would be an advantage: LLMs AI Agents Graph analytics Behavioural modelling Cyber security Network intelligence PyTorch XGBoost Our technology Python SQL AWS PyTorch Scikit-learn XGBoost Docker Kubernetes Claude Code GitHub Copilot LLMs AI Agents Why Friend MTS? AI is becoming ...

Experience in any of the following would be beneficial: LangChain and/or LangGraph Python memory management and performance optimisation GPU optimisation and acceleration PyTorch ONNX/ONNX Runtime Model inference and acceleration Responsibilities for Machine Learning Engineer: Develop and maintain high-quality Python software within advanced commercial AI products … Software Engineer/Machine Learning Software Engineer/AI Integration Engineer/Python/Large Language Models/LLM/LangChain/LangGraph/PyTorch/ONNX/ONNX Runtime/NumPy/pandas/Machine Learning/Artificial Intelligence/GPU Optimisation/Model Inference/Model Acceleration/ ...

Machine Learning Engineer - Spiking Neural NetworksSalary: 75,000 to 100,000Location: West LondonWorking arrangement: Predominantly office and customer-site based, with some remote working availableEmployment: Permanent, full-timeMFK Recruitment is seeking a specialist Machine Learning ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is ...

Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML teams by enabling efficient … work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems. Key Responsibilities Design and build cloud-native data pipelines using Python on GCP Manage large-scale object storage for unstructured data (Google Cloud ...

readiness to look behind the metric numbers. Familiarity with the Ads domain and/or Search/Recommender systems.Experience with mainstream DL frameworks: PyTorch or TensorFlow.Preferred Qualifications:Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)Tech leadership experience: mentoring junior engineers and leading complex projects. Hands ...

technologies. Ready to design and scale infrastructure that powers the future of AI-driven engineering? Apply now. Responsibilities Design and scale training environments using PyTorch Distributed, JAX, or NVIDIA NeMo across multi-node/multi-GPU clusters. Manage a mixed-compute strategy spanning public clouds (AWS/Azure) and sovereign … MLFlow) that validates physical consistency laws. Skills/Must have Orchestration: Expert-level Kubernetes (AKS/EKS) is essential. ML Frameworks: Strong proficiency in PyTorch, JAX, or NVIDIA NeMo. HPC/Data: Solid experience with Python, Go, and distributed data tools (Dask/Spark). Background: Experience in AI research ...

than exploration for its own sake. What we’re looking for Must-have Strong experience training deep learning models at scale Strong Python and PyTorch skills Hands-on experience with diffusion models (image domain required; video preferred) Experience with large scale multi-GPU/multi-node training Good understanding … human-centric generation Familiarity with world/interactive models Experience with GANs or VAEs Experience optimizing inference systems for production Our stack Python, PyTorch, CUDA DeepSpeed, distributed training & inference Sequence parallelism AWS, SLURM, Docker GitHub, CI/CD pipelines Who you are You are research-driven but outcome-focused ...

Research Engineer Location: London - Hybrid role- 3 days onsite 12 months contract Minimum Qualifications 4+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data ...

that helps ML and AI workloads run efficiently on its compute platforms. We’re seeking experienced software engineers with strong C++ skills and practical PyTorch experience. The role spans ML frameworks, compilers, runtimes, drivers, embedded software and performance optimisation, offering opportunities to tackle complex engineering challenges across the ML software ...

that operate in demanding real-world conditions. Responsibilities Develop advanced computer vision and machine learning solutions Design, train and optimise deep learning models using PyTorch Improve model performance, efficiency and scalability Develop solutions capable of operating on constrained edge hardware Work with large-scale image and sensor datasets Support synthetic … generation and model evaluation Contribute to technical direction and machine learning best practice across the business Requirements Commercial experience developing machine learning solutions Strong PyTorch expertise Excellent Python development skills Experience with computer vision techniques and frameworks Strong understanding of GPU architectures and model optimisation Excellent software engineering and problem ...

Our GCN (Guidance, Control, and Navigation) team are delivering algorithms across the full life cycle of our products, from concept creation through to in-service support. In this role, you will be working on algorithms ...

"The AI company that's revolutionizing Hollywood"Flawless is transforming Hollywood with assistive AI. Our tools empower filmmakers to edit, localize, and refine performances while preserving artistic intent. Designed to support, not replace, artists, our ...

AstraZeneca UK Limited is building an Enterprise AI engine to accelerate clinical development. You will lead AI methodology across BioPharmaceuticals, shaping trial design, biomarker strategy, and safety evaluation with rigorous regulatory alignment. The role requires ...

platforms. Our ML Engineering teams are looking for experienced software engineers with strong C++ skills and practical experience with Machine Learning frameworks such as PyTorch . The work sits at the intersection of Machine Learning, software and hardware. Projects span ML frameworks and compilers, runtimes, drivers, embedded software and performance … software and hardware engineers to understand how models execute and where performance and efficiency can be improved. The work could include ML compilation, PyTorch integration, runtimes and drivers, performance analysis or embedded software. There will also be opportunities to contribute to technical design, take ownership of larger engineering challenges ...

registry and ML lifecycle experience A deep technical depth in ML training A strong understanding of ML code infrastructure and best practices – experience with pytorch, tensor RT, quantisation and model deployment Strong CI/CD and Github Actions experience Strong communications skills with a collaborative mindset Desirable Experience with Pytorch ...

with ML software and hardware engineers to understand how models execute and where performance and efficiency can be improved.The work could include ML compilation, PyTorch integration, runtimes and drivers, performance analysis or embedded software. There will also be opportunities to contribute to technical design, take ownership of larger engineering challenges … using source control, code review, testing and continuous integration.Experience across every part of the ML software stack isn't expected. Knowledge of ML compilers, PyTorch internals, runtimes, drivers, embedded software, performance optimisation or hardware acceleration would be valuable, but we encourage applications from people whose experience doesn't cover every ...

A space-tech start-up in London seeks an experienced Computer Vision Engineer to contribute to autonomous vision-based satellite navigation solutions. The candidate will handle AI/ML software development, integrating software with hardware ...

A leading AI consultancy in the UK seeks a Machine Learning Engineer to develop impactful AI solutions for clients. The role involves building production-grade ML software, collaborating with cross-functional teams, and operationalising models ...