4 of 4 Remote/Hybrid MLOps Jobs in the Thames Valley

Machine Learning Engineer - Satellite

Hiring Organisation
Get2Talent
Location
Oxford, Oxfordshire, South East, United Kingdom
Employment Type
Permanent, Work From Home
globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML solutions into the wider Spacetime platform Act as a technical expert ...

DevOps Engineer

Hiring Organisation
Stackstudio Digital Ltd
Location
Wokingham, Berkshire, South East, United Kingdom
Employment Type
Contract, Work From Home
Contract Rate
From £500 to £550 per day
issues and implement effective resolutions. Optimize application performance using Azure monitoring tools (Azure Monitor, App Insights). Improve SQL query performance for applications and MLOps workflows. Perform proactive monitoring, troubleshooting, and enhancement of application functionality. Integration & Documentation Integrate third-party APIs/services ensuring seamless communication. Document technical decisions, architectural ...

Agentic AI Engineer - LangGraph

Hiring Organisation
Sanderson Government and Defence
Location
Oxfordshire, South East, United Kingdom
Employment Type
Contract
Contract Rate
£450 - £700 per day
Ability to clearly explain complex AI concepts to technical and non-technical stakeholders Desirable: Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with MLOps, evaluation, and monitoring of AI systems Experience working in product-led or scale-up environments Reasonable Adjustments: Respect and equality are core values to us. ...

Agentic AI Engineer - LangChain

Hiring Organisation
Sanderson Government and Defence
Location
Oxfordshire, South East, United Kingdom
Employment Type
Contract
Contract Rate
£450 - £700 per day
Ability to clearly explain complex AI concepts to technical and non-technical stakeholders Desirable: Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with MLOps, evaluation, and monitoring of AI systems Experience working in product-led or scale-up environments Reasonable Adjustments: Respect and equality are core values to us. ...