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- Tasks: Lead a team in deploying AI systems and design secure CI/CD pipelines.
- Company: High-trust tech consultancy delivering innovative AI solutions.
- Benefits: Hybrid working, real autonomy, and impactful projects.
- Other info: Opportunity to shape technology and team culture in a dynamic environment.
- Why this job: Join the forefront of AI infrastructure with national significance.
- Qualifications: Experience with Docker, CI/CD, and strong communication skills.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Worcestershire (Hybrid working, 1 day a week in office, possibility for additional flex)
Permanent
SC Clearance required
We're partnering with a high-trust technology consultancy delivering cutting‑edge AI solutions into highly sensitive government environments. We're looking for Mid or Senior level Engineers with a strong DevOps and infrastructure background to join a high-performing technical team working at the intersection of applied AI research and real-world mission delivery. This role sits across DevOps engineering, applied AI systems, and client advisory - ideal for someone who enjoys both building robust, scalable infrastructure and seeing it drive genuine operational impact.
The role:
- Lead and support a small technical team in containerising, deploying and operationalising AI/ML research systems
- Bridge the gap between cutting‑edge AI research and production‑ready infrastructure
- Design and maintain secure CI/CD pipelines and container orchestration solutions in high‑security environments
- Translate complex infrastructure concepts into clear, actionable insight for non‑technical stakeholders
- Lead delivery of secure, high‑impact R&D and productisation projects
- Mentor engineers and shape technical direction around DevOps best practice
- Contribute to identifying and shaping future opportunities at the intersection of AI and infrastructure
What we're looking for:
- Strong hands‑on experience with Docker and container orchestration (Docker Compose, Kubernetes or similar)
- Solid Git workflow experience and familiarity with CI/CD tooling
- Comfortable working in Python‑based environments alongside ML/AI teams
- Experience productionising software - testing, deployment pipelines, monitoring and ongoing support
- Exposure to RESTful API design and frameworks such as FastAPI a bonus
- Exceptional communication skills - able to clearly explain infrastructure decisions to technical and non-technical audiences alike
- Comfortable operating in high‑security, high‑trust environments
- Strong problem‑solving, analytical and technical leadership capability
Security Requirement:
Due to the nature of this role and associated security requirements, applicants must hold current SC security clearance and be open to obtaining DV.
Why this role?
- Work at the forefront of applied AI infrastructure in sensitive government domains
- High‑impact projects with genuine national importance
- Real technical autonomy and influence over architecture and deployment approach
- Exposure to cutting‑edge AI research being translated into operational systems
- Opportunity to shape both technology and team culture
DevOps Engineer in England employer: Salvada Talent
Contact Detail:
Salvada Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your DevOps projects, especially those involving Docker and CI/CD pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex technical concepts in simple terms, as you'll need to bridge the gap between tech and non-tech stakeholders in this role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace DevOps Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with Docker, CI/CD tooling, and any relevant projects you've worked on. We want to see how you can bridge the gap between AI research and production-ready infrastructure!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about DevOps and how your background aligns with our mission at StudySmarter. Don’t forget to mention your experience in high-security environments and your ability to communicate complex ideas clearly.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. Whether it's containerising applications or designing secure pipelines, we love to see how you approach problems and find solutions. This will help us understand your analytical and technical leadership capabilities.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Salvada Talent
✨Know Your Tech Inside Out
Make sure you’re well-versed in Docker, Kubernetes, and CI/CD tools. Brush up on your Python skills too, as you'll need to demonstrate how you can work alongside ML/AI teams. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Communicate Clearly
Since this role involves translating complex concepts to non-technical stakeholders, practice explaining your past projects in simple terms. Use analogies or real-world examples to make your points relatable. This will show your exceptional communication skills.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, particularly in high-security environments. Think of specific instances where your analytical skills led to successful outcomes. This will highlight your capability to lead and mentor others in technical situations.
✨Understand the Company’s Mission
Research the consultancy's focus on AI solutions for government environments. Be ready to discuss how your experience aligns with their mission and how you can contribute to high-impact projects. Showing genuine interest in their work can set you apart from other candidates.