MLOps Engineer (SC Clearance)

Position Description:

At CGI you will play a pivotal role in enabling the deployment and operation of advanced AI systems that support critical national security outcomes. Working within our Space Defence and Intelligence business unit you will help design and deliver secure scalable machine learning platforms that power innovation across mission-critical environments. We combine deep sector expertise with emerging technologies and collaborative delivery to create impactful solutions giving you the opportunity to take ownership of complex challenges contribute creative ideas and grow within a supportive expert-led community.

The Space Defence and Intelligence business unit in CGI is a true IT Systems Integrator. We work build and operate bespoke technically complex mission-critical systems which help our clients keep us all safe and secure. We bring innovation to our clients using proven and emerging technologies agile delivery processes and our deep expertise across the breadth of space defence intelligence aerospace and maritime all underpinned by our end-to-end cyber capability. We work collaboratively with global technology companies cutting edge SMEs and academia to deliver the optimal solution for each client.

CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK Best Employer by the Financial Times. We offer a competitive salary excellent pension private healthcare plus a share scheme (3.5% 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector including our Armed Forces and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and youll be part of an open friendly community of experts. Well train and support you in taking your career wherever you want it to go.

Due to the secure nature of the programme you will need to hold UK Security Clearance or be eligible to go through this clearance. This position will be based on site near Gloucester 5 days a week.

Your future duties and responsibilities:

In this role you will design build and operate secure AI and machine learning platforms within highly controlled environments. You will take ownership of developing the infrastructure and automation required to deploy monitor and scale models in production including large language models and other advanced AI systems. Working closely with multidisciplinary teams you will contribute to delivering resilient high-performance platforms that enable critical decision-making and operational effectiveness.

You will play a key role in shaping how AI is operationalised in air-gapped environments bringing innovative approaches to platform engineering while being supported by experienced colleagues and a collaborative culture focused on continuous improvement.

Design & Deliver secure scalable MLOps platforms for production environments

Build & Optimise air-gapped machine learning pipelines and workflows

Deploy & Manage LLM inference clusters and AI model hosting platforms

Implement & Enhance model lifecycle processes including monitoring and retraining

Develop & Automate infrastructure using DevSecOps principles and tooling

Monitor & Improve system performance using observability tools and best practices

Collaborate & Innovate with cross-functional teams to deliver mission-critical solutions

Required qualifications to be successful in this role:

You should have experience building and operating production-grade machine learning platforms with strong technical skills across software development infrastructure and cloud-native tooling. A solid understanding of Linux environments and modern MLOps practices is essential along with the ability to work effectively in secure constrained environments.

You should have experience developing in Python for data or platform engineering

Strong proficiency in Linux systems and command-line environments

Experience with MLOps tools such as MLflow Kubeflow or Airflow

Familiarity with monitoring tools such as Prometheus or Grafana

Experience with containerisation and orchestration (Docker Kubernetes Terraform)

Understanding of CI/CD pipelines and DevSecOps practices

Experience with platforms such as VMware OpenShift or OpenStack (desirable)

Exposure to AI/ML workloads GPU environments or secure/air-gapped systems (advantageous)


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Skills:

• Grafana
• Kubernetes
• OpenShift
• Terraform

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.

Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our teamone of the largest IT and business consulting services firms in the world.