At a Glance
- Tasks: Lead the development of a robust MLOps platform and guide technical direction.
- Company: Join a forward-thinking organisation focused on machine learning innovation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Contract role for UK residents only, with potential for exciting challenges.
- Why this job: Shape the future of MLOps and make a significant impact across the business.
- Qualifications: Experience in MLOps and strong stakeholder engagement skills required.
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 in London employer: Cyber Security training courses
Join a forward-thinking organisation that prioritises innovation and collaboration, making it an exceptional employer for those passionate about MLOps and machine learning. With a strong focus on employee growth, you will have the opportunity to shape a robust platform while working in a supportive environment that values best practices and governance. Located in the UK, this role offers a unique chance to influence technical direction across teams, ensuring your contributions are both meaningful and impactful.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Technical Product Lead - MLOps in London
✨Tip Number 1
Network like a pro! Reach out to folks in the MLOps space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects or contributions. We love seeing real-world examples of your work, and it gives you a chance to stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’ve tackled challenges in previous roles. We want to see your thought process and how you approach problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to make an impact.
We think you need these skills to ace Technical Product Lead - MLOps in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Technical Product Lead - MLOps. Highlight your experience with MLOps initiatives and any relevant platform strategies you've defined. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping machine learning platforms and how you can contribute to our goals. Keep it concise but impactful, and don’t forget to mention your understanding of the ML lifecycle.
Showcase Your Stakeholder Skills:In your application, emphasise your ability to engage with both technical and non-technical audiences. We’re looking for someone who can influence decisions across teams, so share examples of how you've done this in the past!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Cyber Security training courses
✨Know Your MLOps Inside Out
Make sure you have a solid grasp of MLOps principles and practices. Brush up on the ML lifecycle, deployment strategies, and governance mechanisms. Being able to discuss these topics confidently will show that you're not just familiar with the concepts but can also lead initiatives effectively.
✨Showcase Your Strategic Thinking
Prepare to discuss how you've defined platform strategies and standards in previous roles. Think about specific examples where you've influenced technical direction or improved processes. This will demonstrate your ability to think long-term and align with the company's goals.
✨Engage with Stakeholders
Highlight your experience in stakeholder engagement. Be ready to share examples of how you've influenced both technical and non-technical audiences. This is crucial for a role that sits between product, engineering, and architecture, so showing your communication skills will be key.
✨Demonstrate Your Design Authority
Be prepared to talk about your experience acting as a design authority. Discuss how you've provided oversight across multiple teams and ensured consistency in solutions. This will help illustrate your capability to guide technical decision-making and embed governance principles into platform design.
