Job Title: MLOps Engineer
Location: Bristol – 1-day onsite p/m
Start Date: ASAP
Salary: £75,000 - £90,000
Note: Candidates must be willing and eligible to undergo SC Clearance.
Join a European leader in AI-driven technology, delivering innovative surveillance solutions that enhance safety and save lives. They provide cutting-edge services combining real-time intelligence, data, and AI to transform operational outcomes globally.
About the Role
We are seeking an MLOps Engineer to manage and optimise the machine learning lifecycle, from development to deployment and monitoring. You will work closely with data scientists, software engineers, and IT teams to ensure seamless, scalable, and reliable machine learning solutions in production environments.
Key Responsibilities
- Pipeline Development: Build and maintain scalable ML pipelines automating training, testing, deployment, and monitoring.
- Model Deployment: Collaborate with data scientists to deploy ML models securely and reliably.
- CI/CD Integration: Maintain CI/CD processes for ML models with version control.
- Infrastructure Management: Set up and manage cloud-based and on-prem ML infrastructure.
- Monitoring & Maintenance: Ensure high availability and performance of deployed models with automated monitoring, logging, and alerting.
- Collaboration: Work with cross-functional teams to deliver solutions that meet technical and business requirements.
- Security & Governance: Implement best practices for data security, model governance, and compliance.
- Documentation & Innovation: Maintain clear documentation and stay updated on MLOps trends and technologies.
Profile & Requirements
- Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field.
- 3+ years in ML, DevOps, or MLOps with hands-on experience deploying ML products.
- Python, Go, Rust, or similar programming languages
- ML/DL frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
- DevOps practices, CI/CD, IaC, Docker, Kubernetes
- Version control (Git) and collaborative development tools
- Data engineering and ETL workflows
- Monitoring/logging tools (Prometheus, Grafana, ELK, etc.)
- Cloud platforms (AWS, Azure, Google Cloud) with focus on Google Cloud
- Strong analytical, problem-solving, communication, and collaboration skills; attention to detail; ability to thrive in fast-paced environments.
What We Offer
- Opportunity to work on impactful, high-tech projects with the latest AI & ML technologies.
- Flexible work arrangements and collaborative, inclusive culture.
- Professional development and exposure to cutting-edge tools, including Edge AI and Swarming technologies.
- Competitive salary reflecting experience and expertise.