At a Glance
- Tasks: Lead the operational management and improvement of AI solutions across the organisation.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Fast-paced environment with excellent career advancement opportunities.
- Why this job: Make a real impact by driving AI initiatives that shape the future of technology.
- Qualifications: Experience in AI/ML operations and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an experienced and highly skilled AI Operations (AIOps) Lead to drive the operationalization, governance, monitoring, and continuous improvement of enterprise AI solutions. This role requires a proven specialist capable of establishing scalable AI operating models while providing hands-on leadership to ensure AI systems deliver reliable, secure, and measurable business outcomes.
Key Responsibilities & Requirements:
- Provide expert leadership for the operational management and continuous improvement of AI, Machine Learning, and Generative AI solutions across the organization.
- Develop and implement enterprise-wide AIOps frameworks, operating models, standards, and best practices to ensure scalable and sustainable AI adoption.
- Act as a hands-on contributor, working directly with program leadership, AI architects, data scientists, and engineering teams to support AI initiatives throughout their lifecycle.
- Establish monitoring, observability, and performance management capabilities for AI models, services, and AI-powered applications.
- Define and manage processes for model deployment, versioning, validation, retraining, and lifecycle management.
- Ensure AI solutions meet operational requirements related to reliability, scalability, security, compliance, and business continuity.
- Develop and track key performance indicators (KPIs) and service metrics related to AI adoption, model performance, operational efficiency, and business value realization.
- Lead incident management, root-cause analysis, and remediation efforts for AI-related production issues.
- Collaborate with data engineering, platform, security, and infrastructure teams to optimize AI platform operations and service delivery.
- Drive the implementation of MLOps and LLMOps practices to support efficient deployment, monitoring, and governance of AI solutions.
- Establish governance processes to ensure compliance with Responsible AI principles, organizational policies, and regulatory requirements.
- Identify and mitigate operational, technical, security, and governance risks associated with AI deployments.
- Support the development and execution of change management and adoption strategies to maximize the value of AI investments.
- Translate operational insights and performance data into actionable recommendations for improving AI effectiveness and business outcomes.
- Demonstrate strong stakeholder management and communication skills, particularly when engaging with senior leadership and cross-functional teams.
- Operate effectively within a fast-paced, dynamic environment, delivering measurable outcomes and driving continuous operational excellence.
Preferred Qualifications:
- Extensive experience in AI/ML operations, platform engineering, MLOps, DevOps, or enterprise technology operations.
- Strong understanding of Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI platform ecosystems.
- Experience implementing and managing MLOps, LLMOps, model governance, and AI monitoring frameworks in enterprise environments.
- Proven expertise with cloud-based AI and data platforms, automation tools, monitoring solutions, and CI/CD pipelines.
- Strong analytical and problem-solving skills with the ability to translate operational data into strategic improvements.
- Demonstrated experience leading large-scale AI transformation or operational excellence initiatives.
- Excellent communication, stakeholder engagement, and leadership capabilities.
This role is ideal for a specialist who can bridge AI strategy and day-to-day operations, ensuring that enterprise AI solutions remain reliable, governed, scalable, and aligned with business objectives.
AIOps Lead in Slough employer: Mphasis
As an AIOps Lead at our company, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. We offer competitive benefits, a strong commitment to continuous learning, and the opportunity to work with cutting-edge AI technologies, all while being part of a culture that values diversity and inclusion. Join us to make a meaningful impact on enterprise AI solutions and advance your career in a supportive and forward-thinking organisation.
StudySmarter Expert Advice🤫
We think this is how you could land AIOps Lead in Slough
✨Join the IT Consultancy Buzz
Get involved in local or virtual IT consultancy meetups and forums. This is where we can rub shoulders with industry professionals, get insights into what Mphasis values, and even spot unadvertised opportunities. Don't miss out on these chances to make a name for ourselves in the IT world!
✨Show Off Your Skills
Create a personal project or case study relevant to the challenges Mphasis might face. Use platforms like GitHub or Medium to share your findings. This not only demonstrates our consulting skills but shows a proactive attitude, making us stand out from the crowd when applying for that full-time gig.
✨Leverage LinkedIn for Connections
Follow and engage with the relevant thought leaders and influencers in IT consultancy on LinkedIn. Share insightful content and join discussions to gain visibility. A well-placed comment or shared article could catch the attention of someone at Mphasis!
✨Direct Apply to Mphasis
Let's not forget to apply directly through the Mphasis website! Tailor your application to showcase our understanding of their consulting style and how we can contribute to their projects. A personalised approach can make a huge difference in landing that full-time position!
We think you need these skills to ace AIOps Lead in Slough
Some tips for your application 🫡
Showcase Your Problem-Solving Skills:In IT consulting, it's all about problem-solving, so make sure your CV highlights your analytical skills and any relevant projects you've tackled. Mention specific technologies or methodologies you've used to resolve issues or improve processes; this shows you can think critically and deliver results, which is vital for us at Mphasis.
Highlight Relevant Certifications:Certifications like ITIL, PMP, or even specific tech stack qualifications can really make you stand out. Make sure to include these in your CV, as they not only demonstrate your expertise but also your commitment to staying current in the field. We love seeing candidates who are proactive about their professional development!
Tailor Your Cover Letter:Your cover letter is your chance to connect personally with us at Mphasis. Share stories about your experiences in IT consulting, and how they shaped your desire to join our team. Mention why you’re excited about this particular role, and how you see yourself contributing to our projects.
Keep It Clear and Concise:We're all busy, so make sure your application is easy to read. Use bullet points for key achievements, and don’t overload us with jargon. A clean, professional layout goes a long way. Remember, the clearer your application, the more likely we are to invite you in for an interview!
How to prepare for a job interview at Mphasis
✨Brush Up on Your Technical Skills
For an IT consulting role, be ready to demonstrate your technical prowess. You might face questions on systems integration, cloud technologies, or even troubleshooting specific software. If you have experience with tools like AWS, Azure, or even specific programming languages, make sure you can talk about them fluently.
✨Showcase Your Problem-Solving Approach
IT consulting is all about solving problems for clients. Think about how you can illustrate your approach to a past challenge using the STAR method (Situation, Task, Action, Result). It's a great way to show how you tackle complex issues and come up with effective solutions.
✨Know the Business Impact of IT Solutions
When discussing your experiences, focus not just on the tech solutions you implemented, but also on their business impact. Employers want to see that you can connect IT with organisational goals. Prep examples that highlight how your tech contributions improved efficiency or reduced costs for past clients or projects.
✨Prepare for Behavioural Questions
Since IT consulting often involves teamwork and client interactions, expect behavioural questions that assess your interpersonal skills. Be prepared with examples that demonstrate your adaptability, communication skills, and how you handle client feedback. Before the interview, think of situations where you worked closely with clients to create effective IT strategies or changes.
