51 to 57 of 57 Remote/Hybrid PyTorch Jobs

pharmaceutical company. The key skills required for this ML Engineer position are: Building ML systems Computer Vision Building processing pipelines for image data AWS PyTorch, TensorFlow, JAX If you do have the relevant experience for this long term remote contract ML Engineer role, outside IR35, please do apply. ...

Distributed Machine Learning Strong Understanding of what it actually takes to run ML Systems in Production Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost) Deep Knowledge of Data Warehousing, ETL/ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive) Responsibilities: Leading Customer-Facing AI Deployments across … Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam). Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems. Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI. Writing Automation-Focused Code needed to Streamline ...

Engineer based near Cheltenham should have most of the following key skills: - Solid Python engineering skills - Containerisation (docker, Kubernetes) - Solid general Machine learning skills - PyTorch,Tensorflow etc - NoSQL database experience - Experience working in R&D or innovation focused engineering teams would be a plus - Front end skills would be useful … business with innovation at its core please apply now to be considered Cheltenham - Hybrid - Permanent Research & development, generative AI, machine learning, LLM, Python, NoSQL, PyTorch, Tensorflow, Docker, Kubernetes ...

right candidate, plus benefits Requirements for Senior/Principal Machine Learning Engineer: Strong relevant industry experience in machine learning engineering Strong Python and PyTorch experience Experience training machine learning models at scale Experience building and maintaining model deployment and inference pipelines Hands-on experience using Docker in production environments Strong … Machine Learning Engineer/ML Engineer/Applied Machine Learning Engineer/Computer Vision Engineer/AI Engineer/Research Engineer/Python/PyTorch/Linux/Docker/Cloud ML/CI Pipelines/Model Deployment/Inference Pipelines RedTech Recruitment Ltd focus on finding roles for Engineers ...

responsibilities • Build and deploy production-grade Python ML services • Develop applied LLM/NLP systems (conversational AI, embeddings, intent/entity recognition) • Work with PyTorch models deployed in AWS environments • Contribute to RAG, agentic workflows, and orchestration patterns • Collaborate closely with product, engineering, and leadership • Communicate technical decisions clearly … base + private medical + full benefits + onsite parking • Working model: Mostly remote, 1 day/week in Brighton (Thursday) • Stack: Python, PyTorch, AWS, Docker/ECR, microservices, LLMs, NLP • Visa sponsorship: Not available Interested? Please apply below. ...

week is up to you; deep focus at home, or more of the same! Key Responsibilities: Build, maintain, and productionise machine learning models using PyTorch or similar frameworks. Design and optimise data pipelines for ML inference at scale. Work with large datasets using Big Data tools. Deploy ML workflows using … years of production experience in machine learning systems. Proficiency in Python and SQL for analysis, model development, and data interrogation. Strong knowledge of PyTorch or similar ML frameworks. Experience handling large datasets and distributed processing with PySpark or similar is desirable . Experience of experimentation tools such as MLflow ...

week is up to you; deep focus at home, or more of the same! Key Responsibilities: Build, maintain, and productionise machine learning models using PyTorch or similar frameworks. Design and optimise data pipelines for ML inference at scale. Work with large datasets using Big Data tools. Deploy ML workflows using … years of production experience in machine learning systems. Proficiency in Python and SQL for analysis, model development, and data interrogation. Strong knowledge of PyTorch or similar ML frameworks. Experience handling large datasets and distributed processing with PySpark or similar is desirable . Experience of experimentation tools such as MLflow ...