4 of 4 Remote/Hybrid MLOps Jobs in Bristol

Principal Data Scientist & Machine Learning Researcher

Location
Bristol, England, United Kingdom
internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control and environment management (such as venvs or Docker).** *Experience of writing technical project ...

Senior Software Engineer

Hiring Organisation
Synoptix Limited
Location
Bristol, Avon, South West, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£60,000
skills Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus ...

Principal AI Engineer

Hiring Organisation
Synoptix Limited
Location
Bristol, Avon, South West, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£85,000
Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual Company Bonus – Based on company performance 25 Days holiday not including bank holidays ...

Data Scientist (Sovereign Territory Surveillance)

Hiring Organisation
SRT Marine Systems plc
Location
Bristol, Avon, South West, United Kingdom
Employment Type
Permanent, Work From Home
appropriate performance metrics. Experience creating, managing, and interrogating graph databases (e.g., Neo4j). Experience with maritime, aerial, or other remote-sensing imagery. Exposure to MLOps tools (MLflow, Weights & Biases, Ray etc.) Experience deploying systems with containerisation, both on premises and in the cloud (e.g. using Docker and AWS ECS/ ...