At a Glance
- Tasks: Manage and optimise the Palantir MLOps platform for data science teams.
- Company: Join a leading organisation with a focus on innovation and technology.
- Benefits: Competitive daily rate, fully remote work, and flexible contract.
- Other info: Opportunity for growth in a dynamic, tech-driven environment.
- Why this job: Be at the forefront of MLOps and make a significant impact in AI.
- Qualifications: Experience with data platforms and strong service management skills.
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 ResponsibilitiesPlatform 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
- 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
- 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
- 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
MLOps Platform Manager, Palantir employer: Harnham - Data & Analytics Recruitment
Palantir is an exceptional employer that champions innovation and collaboration in a fully remote environment, offering competitive daily rates for skilled professionals. With a strong focus on employee growth, the company provides opportunities to work with cutting-edge MLOps technologies while fostering a culture of support and continuous improvement. Joining Palantir means being part of a dynamic team dedicated to operational excellence and impactful data solutions.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Platform Manager, Palantir
✨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 land you that MLOps Platform Manager gig.
✨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 with Palantir and other platforms, making you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of CI/CD, model monitoring, and governance. We want you to be ready to discuss how you’d manage platform operations and improve MLOps capabilities.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace MLOps Platform Manager, Palantir
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with MLOps and platforms like Palantir. 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 managing data platforms, be sure to emphasise your hands-on experience with Palantir Foundry, AIP, or similar platforms. We love seeing specific examples of how you've tackled challenges in MLOps before.
Highlight Your Service Management Experience:This position requires strong service management skills, so make sure to detail your experience with incident, change, and problem management processes. We’re keen to know how you’ve ensured platform reliability and user satisfaction in the past.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Platforms Inside Out
Make sure you have a solid understanding of Palantir Foundry and AIP. Brush up on their functionalities, especially around MLOps capabilities. Being able to discuss specific features and how they relate to the role will show your genuine interest and expertise.
✨Showcase Your Service Management Skills
Prepare examples that highlight your experience with incident management, change processes, and stakeholder communication. Think of situations where you improved platform performance or user experience, as this will resonate well with the interviewers.
✨Demonstrate Your Technical Knowledge
Be ready to dive into technical discussions about CI/CD, model deployment, and monitoring. Familiarise yourself with best practices in MLOps and be prepared to explain how you've implemented these in past roles. This will help you stand out as a candidate who can hit the ground running.
✨Understand Security and Compliance
Since the role involves working closely with InfoSec and compliance teams, brush up on security protocols and governance frameworks. Be prepared to discuss how you've managed access controls and ensured data privacy in previous positions, as this is crucial for the role.
