At a Glance
- Tasks: Lead the development of a scalable MLOps platform and guide technical direction.
- Company: Join a forward-thinking company focused on machine learning innovation.
- Benefits: Competitive contract salary, flexible working, and opportunities for professional growth.
- Other info: Contract role for UK residents only; no sponsorship available.
- Why this job: Shape the future of MLOps and make a significant impact across the organisation.
- Qualifications: Experience in MLOps, strong stakeholder engagement, and a background in product and engineering.
The predicted salary is between 70000 - 90000 £ per year.
The Opportunity
We're looking for a Technical Product Lead to help shape and mature a growing machine learning platform capability. This role is focused on moving beyond short-term delivery into a well-structured, scalable MLOps environment that can be leveraged across the wider organisation. Sitting between product, engineering, and architecture, you will play a key role in driving technical direction, ensuring consistency across teams, and embedding a long-term platform approach.
What You'll Be Doing
- Take ownership of the MLOps capability, guiding its development into a robust, enterprise‑grade platform.
- Define the strategic direction, standards, and operating model for how MLOps is delivered across the business.
- Design and promote reusable components and frameworks, including:
- Environment/workspace structures
- Pipeline templates and orchestration patterns
- Deployment approaches
- Governance and control mechanisms
- Act as a central design authority, providing oversight and direction across multiple delivery teams.
- Ensure alignment across programmes, avoiding fragmented or inconsistent solutions.
- Work closely with engineers, platform teams, and stakeholders to guide technical decision-making.
- Translate business needs into scalable and reusable platform capabilities.
- Embed governance principles directly into platform design rather than relying on post-delivery controls.
- Drive best practice around maintainability, scalability, and reduction of technical debt.
- Influence key decisions relating to deployment models, integrations, and platform controls.
What We're Looking For
- Proven experience leading MLOps or machine learning platform initiatives at an enterprise level.
- Strong background in defining platform strategies, standards, and operating models.
- Solid understanding of the ML lifecycle, including deployment, monitoring, and governance.
- Experience working within modern cloud-based data and ML environments.
- A background that spans product, architecture, and engineering disciplines.
- Demonstrated ability to design reusable frameworks and scalable platform patterns.
- Experience working in complex environments with multiple parallel delivery streams.
- Strong stakeholder engagement skills, with the ability to influence both technical and non-technical audiences.
- Experience operating in a design authority or governance-focused role.
Nice to Have
- Experience working in regulated or highly governed environments.
- Familiarity with modern engineering practices such as:
- Infrastructure as Code
- CI/CD pipelines
- DevOps approaches
- Cloud-native platform architectures
- Exposure to large-scale transformation programmes.
Key Competencies
- MLOps & Machine Learning Platforms
- Enterprise Architecture & Platform Design
- Technical Product Ownership
- Governance & Design Authority
- DevOps / CI/CD
- Stakeholder Management
Please Note: This is a contract role for UK residents only. This role does not offer sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and credit check.
Technical Product Lead - MLOps employer: Cyber Security training courses
Join a forward-thinking organisation that prioritises innovation and collaboration, where as a Technical Product Lead for MLOps, you will have the opportunity to shape a cutting-edge machine learning platform. Our inclusive work culture fosters continuous learning and professional growth, providing you with the resources and support to excel in your role while making a meaningful impact across the business. Located in the UK, we offer a dynamic environment that encourages creativity and strategic thinking, ensuring that your contributions are valued and recognised.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Technical Product Lead - MLOps
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to MLOps. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your experience in MLOps. This gives potential employers a tangible look at what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Technical Product Lead - MLOps
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with MLOps and machine learning platforms. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills:Since this role is all about technical direction, be sure to emphasise your background in defining platform strategies and your understanding of the ML lifecycle. We love seeing concrete examples of how you've influenced technical decisions in past roles.
Engage with Our Values:At StudySmarter, we value collaboration and innovation. When writing your application, reflect on how you’ve worked with cross-functional teams and contributed to creating scalable solutions. This will help us see if you’re a good fit for our culture!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Cyber Security training courses
✨Know Your MLOps Inside Out
Make sure you brush up on your knowledge of MLOps and machine learning platforms. Be ready to discuss your previous experiences leading MLOps initiatives, and how you've defined platform strategies and standards. This will show that you’re not just familiar with the concepts but have practical experience in shaping them.
✨Showcase Your Stakeholder Engagement Skills
Prepare examples of how you've successfully engaged with both technical and non-technical stakeholders. Highlight instances where you influenced decisions or aligned teams towards a common goal. This is crucial for demonstrating your ability to navigate complex environments and ensure consistency across programmes.
✨Demonstrate Your Design Authority
Be ready to talk about your experience acting as a design authority. Discuss how you've provided oversight across multiple delivery teams and ensured alignment in technical direction. This will help illustrate your capability to embed governance principles into platform design effectively.
✨Prepare for Technical Questions
Expect to face technical questions related to cloud-based data environments, CI/CD pipelines, and modern engineering practices. Brush up on these topics and think about how they relate to the role. Being able to articulate your understanding will set you apart from other candidates.
