At a Glance
- Tasks: Design and manage AI systems for reliable, secure operations in production environments.
- Company: Globally renowned organisation with a focus on AI and data innovation.
- Benefits: Up to £85,000 salary, hybrid work, and comprehensive benefits.
- Other info: Opportunity for career growth in a collaborative, cutting-edge environment.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience with AI systems, CI/CD pipelines, and cloud infrastructure.
The predicted salary is between 60000 - 80000 £ per year.
A globally renowned organisation is seeking an AI Ops Engineer to join a growing AI and data function, taking ownership of the operational backbone that enables AI systems to run reliably, securely and at scale in production environments. This AI Ops Engineer role sits at the intersection of machine learning, cloud infrastructure and DevOps, supporting the full lifecycle of AI solutions from deployment through to ongoing optimisation.
The AI Ops Engineer position is well suited to an engineer who enjoys building resilient platforms, improving operational maturity and working closely with data scientists and software engineers to deliver production-grade AI capability.
Responsibilities for the AI Ops Engineer:- Design, build and operate deployment pipelines for AI models, prompts and supporting artefacts
- Own lifecycle management including versioning, promotion, rollback and retirement of AI solutions
- Implement monitoring and observability covering performance, usage, drift and data quality
- Ensure AI systems meet security, compliance and governance requirements
- Optimise inference performance, scalability and cost efficiency
- Manage infrastructure supporting training and inference including cloud platforms, containers and GPU resources
- Enable reproducibility through experiment tracking and artefact management
- Support incident response, root-cause analysis and resolution of AI-related failures
- Collaborate with data scientists and software engineers to design scalable, reliable machine learning infrastructure
- Develop and maintain CI/CD pipelines for machine learning workloads
- Maintain standards for version control, testing and technical documentation
- Work with cross-functional teams to integrate AI solutions into existing platforms and workflows
- Stay current with advancements in MLOps, DevOps and AI operations, driving continuous improvement
- Strong experience operating machine learning or AI systems in production environments
- Hands-on experience with CI/CD pipelines for data or ML workloads
- Experience managing cloud-based infrastructure for AI workloads
- Solid understanding of monitoring, observability and operational resilience
- Strong collaboration skills with the ability to work across engineering and data teams
- Experience supporting secure, compliant and well-governed systems
- Experience integrating Python-based services with modern front-end frameworks
- Familiarity with MLOps practices for deploying, monitoring and managing AI systems
- Exposure to large-scale enterprise data environments or knowledge management systems
- Understanding of Agile delivery practices and collaborative tooling
- Knowledge of data security, compliance and responsible AI principles
- Domain exposure within engineering or manufacturing environments
If you are an AI Ops Engineer looking to take ownership of AI operations within a complex, production-focused environment, please apply in the immediate instance.
AI Ops Engineer - up to £85,000 + Benefits - Hybrid - Derby employer: Involved Solutions
Join a globally renowned organisation as an AI Ops Engineer in Derby, where you will be part of a dynamic team dedicated to advancing AI and data capabilities. Enjoy a hybrid work model that promotes work-life balance, alongside competitive salary and benefits, while collaborating with talented professionals in a culture that values innovation and continuous improvement. With ample opportunities for professional growth and development, this role offers a unique chance to make a significant impact in the field of AI operations.
StudySmarter Expert Advice🤫
We think this is how you could land AI Ops Engineer - up to £85,000 + Benefits - Hybrid - Derby
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Involved Solutions or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Involved Solutions.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Involved Solutions.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Involved Solutions that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Ops Engineer - up to £85,000 + Benefits - Hybrid - Derby
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Involved Solutions.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Involved Solutions and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Involved Solutions
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Involved Solutions uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
