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- Tasks: Manage and optimise the Palantir MLOps platform for data science and engineering teams.
- Company: Join a leading organisation with a focus on innovative ML solutions.
- Benefits: Competitive daily rate, fully remote work, and flexible contract.
- Other info: Opportunity to work with cutting-edge technology in a dynamic environment.
- Why this job: Be at the forefront of MLOps and make a real impact in AI development.
- Qualifications: Experience with data platforms and strong service management skills required.
A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services. The role will focus on ensuring the platform is reliable, secure, well-governed and scalable, while helping data science and engineering teams move models and data products into production in a structured and repeatable way.
This is a delivery-focused platform ownership role, sitting across:
- Palantir platform operations
- MLOps enablement
- Service management
- Security, governance and compliance
- Supplier and vendor management
You will be responsible for the day-to-day running and improvement of Palantir Foundry, AIP and related MLOps capabilities. The role requires someone who can combine technical platform understanding with operational discipline, stakeholder management and a strong service-owner mindset.
Key Responsibilities
- Platform Operations
- Own the day-to-day operation of Palantir Foundry, AIP and MLOps services
- Ensure strong platform availability, performance, stability and user experience
- Manage incidents, problems, changes, requests and escalation processes
- Manage platform releases, upgrades and vendor changes
- Maintain runbooks, support playbooks and platform documentation
- MLOps & Model Lifecycle
- Build and improve standard MLOps patterns across training, validation, deployment and monitoring
- Support data science and engineering teams in operationalising models end-to-end
- Improve CI/CD, environment management and automated testing for ML workloads
- Implement model monitoring across drift, performance, data quality and latency
- Support model lifecycle governance, including versioning, approvals, traceability and reproducibility
- Security, Risk & Compliance
- Manage platform access, authentication, authorisation and segregation of duties
- Work with InfoSec, compliance and governance teams to evidence controls for data and AI services
- Support audits across platform operations, change history, access reviews and model lifecycle controls
- Maintain platform controls across logging, retention, encryption and privacy
- Roadmap, Cost & Vendor Management
- Own the platform roadmap and improvement backlog
- Prioritise improvements based on business value, risk, cost and developer experience
- Manage capacity, usage monitoring and cost optimisation
- Manage relationships with Palantir, delivery partners and other platform suppliers
- Define standards, reference architectures and reusable patterns for data products and ML workloads
Requirements
- Strong experience managing data platforms, analytics platforms or MLOps capabilities in an enterprise environment
- Hands-on experience operating Palantir Foundry, AIP or a comparable modern data platform
- Strong understanding of production MLOps, including CI/CD, model deployment, monitoring and lifecycle governance
- Experience supporting production data products or ML models at scale
- Strong service management experience across incident, change, problem and request processes
- Experience working with security, risk, governance or compliance teams
- Strong stakeholder management across data engineering, data science, InfoSec and architecture teams
- Experience managing suppliers, vendors or delivery partners
Nice to Have
- Cloud experience across Azure, AWS or GCP
- ITIL or formal service management experience
- Experience in regulated environments
- Cloud cost optimisation experience
- Model risk, responsible AI or AI governance experience
Key Skills
- Palantir
- Foundry
- AIP
- MLOps
- Platform Management
- Data Platform
- Model Deployment
- CI/CD
- Model Monitoring
- Data Governance
- Access Controls
- Service Management
- Incident Management
- Change Management
- Release Management
- Vendor Management
- Responsible AI
- Cloud
- DevOps
To apply, please email:
MLOps Platform Manager, Palantir in London employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Platform Manager, Palantir in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your MLOps projects. 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 practising common questions related to MLOps and platform management. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 love hearing from passionate candidates like you!
We think you need these skills to ace MLOps Platform Manager, Palantir in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the MLOps Platform Manager role. Highlight your experience with Palantir, AIP, and any relevant MLOps capabilities. We want to see how your skills align with the key responsibilities outlined in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects or experiences that demonstrate your platform management skills and your understanding of MLOps processes. We love a good story!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise! Make sure to mention your hands-on experience with Palantir Foundry and any cloud platforms like Azure or AWS. We’re looking for someone who can hit the ground running, so let us know what you bring to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Platforms
Make sure you have a solid understanding of Palantir Foundry and AIP. Brush up on their functionalities and how they fit into MLOps. Being able to discuss specific features and your experience with them will show that you're not just familiar, but truly knowledgeable.
✨Demonstrate Operational Discipline
Prepare examples from your past experiences where you successfully managed platform operations or improved service management processes. Highlight your ability to handle incidents, changes, and requests effectively, as this is crucial for the role.
✨Showcase Stakeholder Management Skills
Think of instances where you've collaborated with data engineering, data science, or InfoSec teams. Be ready to discuss how you navigated different stakeholder needs and ensured smooth communication across departments.
✨Emphasise Security and Compliance Knowledge
Familiarise yourself with security, risk, and compliance practices relevant to MLOps. Be prepared to talk about how you've implemented controls in previous roles, as this will be key to ensuring the platform's reliability and governance.