At a Glance
- Tasks: Develop and enhance MLOps frameworks for exciting machine learning projects.
- Company: Leading global consultancy driving digital transformation in the public sector.
- Benefits: Competitive pay, hybrid working model, and exposure to cutting-edge ML initiatives.
- Other info: Great career growth potential with a focus on innovative government programmes.
- Why this job: Join a secure environment and make a real impact on advanced ML capabilities.
- Qualifications: Experience in MLOps, Docker, Kubernetes, and strong scripting skills required.
The predicted salary is between 60000 - 80000 £ per year.
Salary: £? - ? per year
Requirements:
- Strong experience in MLOps or ML Engineering roles
- Proven experience with Docker and Kubernetes for containerisation
- Hands-on experience with AWS and/or Google Cloud Platform
- Solid scripting skills in Python and Bash/Linux
- Experience building CI/CD pipelines using GitLab and YAML
- Understanding of DevSecOps principles and tooling
- Exposure to ML lifecycle tools such as MLflow and Airflow
- Ability to work in highly secure or air-gapped environments
- Strong problem-solving and collaboration skills
- MOD SC Clearance required, with additional enhanced vetting applying
Responsibilities:
- Develop and improve MLOps frameworks across multiple machine learning use cases
- Build and maintain CI/CD pipelines using GitLab and YAML
- Deploy and manage containerised applications using Docker and Kubernetes
- Implement DevSecOps practices, including security scanning and automated workflows
- Develop scripts in Python, Bash, and Linux environments to support automation
- Work within air-gapped environments to ensure secure deployment of ML solutions
- Collaborate with data scientists to operationalise ML models
- Use MLflow and Airflow for model tracking and orchestration
- Support cloud-based deployments across AWS and Google Cloud Platform
- Ensure performance, reliability, and scalability of machine learning systems
Technologies:
- AI
- Airflow
- AWS
- Bash
- CI/CD
- Cloud
- DevSecOps
- Docker
- GitLab
- Support
- Kubernetes
- Linux
- Machine Learning
- Python
- Security
- DevOps
- GCP
We are a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment supporting advanced machine learning and MLOps capabilities across multiple use cases. The position is based in Portsmouth with a hybrid working model, requiring on-site attendance two days every other week and remote working for the remainder. We offer exposure to cutting-edge ML and AI initiatives, secure government programmes, and long-term potential within a major consultancy client. The role is paid up to £537 per day, umbrella only, inside IR35.
MLOps Engineer / Machine Learning Engineer in Portsmouth employer: Sivara GmbH
As a leading global consultancy, we pride ourselves on fostering a dynamic work culture that prioritises innovation and collaboration. Our Portsmouth location offers a hybrid working model, allowing for flexibility while engaging in cutting-edge machine learning initiatives within secure government programmes. We are committed to employee growth, providing opportunities to work with advanced technologies and develop skills in a supportive environment.
