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: Fully remote work, competitive daily rate, and a dynamic contract role.
- Other info: Opportunity to work with cutting-edge technologies and enhance your career.
- 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 required.
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day
Overview
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.
The Role
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 (Not Specified) in Kensington employer: Harnham - Data & Analytics Recruitment
Palantir offers an exceptional remote working environment for the MLOps Platform Manager role, providing a unique opportunity to lead and innovate within a cutting-edge ML platform. With a strong focus on employee growth, collaboration, and a commitment to security and governance, Palantir fosters a culture of excellence and support, ensuring that team members can thrive while making impactful contributions to data science and engineering initiatives. The competitive contract rates and flexibility of a fully remote position further enhance the appeal of joining this forward-thinking organisation.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Platform Manager, Palantir (Not Specified) in Kensington
✨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 (Not Specified) in Kensington
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 match what we're looking for!
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. Share specific examples of your past experiences that align with the responsibilities mentioned in the job description.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills related to platform operations and MLOps. Mention any hands-on experience you have with CI/CD, model deployment, and monitoring. We love seeing candidates who can hit the ground running!
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 from us!
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 Your Service Management Skills
Prepare examples of how you've managed incidents, changes, and problems in previous roles. Highlight your experience with service management processes and how you've improved platform reliability and user experience. This will resonate well with the role's focus on operational discipline.
✨Showcase Your Stakeholder Management Experience
Think of instances where you've successfully collaborated with data engineering, data science, and InfoSec teams. Be ready to discuss how you navigated different priorities and ensured smooth communication. This is crucial for the role, so make it a key part of your conversation.
✨Prepare for Technical Questions
Expect questions about CI/CD, model deployment, and monitoring. Brush up on your technical knowledge and be ready to explain how you've implemented these practices in past projects. Showing that you can bridge the gap between technical and operational aspects will set you apart.
