At a Glance
- Tasks: Design and deliver secure MLOps platforms for advanced AI systems.
- Company: Join CGI, a leader in tech innovation for national security.
- Benefits: Competitive salary, excellent pension, private healthcare, and share scheme.
- Other info: Collaborative environment with a commitment to diversity and inclusivity.
- Why this job: Make a real impact on mission-critical projects while growing your skills.
- Qualifications: Experience in machine learning platforms and strong technical skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
We offer a competitive salary, excellent pension, private healthcare, and 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 you’ll be part of an open, friendly community of experts.
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 a site near Gloucester 5 days a week.
Your future duties and responsibilities:
- 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:
- Experience building and operating production‑grade machine learning platforms, with strong technical skills across software development, infrastructure, and cloud‑native tooling.
- Solid understanding of Linux environments and modern MLOps practices.
- 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).
MLOps Engineer in Gloucester employer: 慨正橡扯
At CGI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within our Space, Defence and Intelligence business unit. With a commitment to employee growth, we provide extensive training opportunities, competitive salaries, and benefits such as private healthcare and a share scheme that allows you to become a CGI Partner. Located near Gloucester, you'll be part of a supportive community dedicated to making a meaningful impact in national security through advanced AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer in Gloucester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of landing that MLOps Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving MLOps tools like MLflow or Kubernetes. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and understanding of MLOps practices. Be ready to discuss your past projects and how you’ve tackled challenges in building scalable machine learning platforms.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our community.
We think you need these skills to ace MLOps Engineer in Gloucester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the MLOps Engineer role. Highlight your experience with machine learning platforms, Python development, and any relevant tools like MLflow or Kubernetes. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about MLOps and how you can contribute to our mission at CGI. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Technical Skills:In your application, don't shy away from showcasing your technical skills. Mention your proficiency in Linux environments, CI/CD pipelines, and any experience with observability tools. We love seeing candidates who are technically savvy and ready to tackle complex challenges!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be part of our friendly community right from the start. Plus, it helps us keep track of all applications efficiently!
How to prepare for a job interview at 慨正橡扯
✨Know Your MLOps Tools
Make sure you brush up on your knowledge of MLOps tools like MLflow, Kubeflow, and Airflow. Be ready to discuss how you've used these in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since Python is key for data and platform engineering, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of best practices.
✨Understand the Security Aspect
Given the secure nature of the role, it's crucial to understand UK Security Clearance requirements. Familiarise yourself with how security impacts MLOps and be prepared to discuss how you would ensure compliance in your work.
✨Collaborate and Communicate
This role involves working with cross-functional teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you can contribute to a friendly, expert-led community.
