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- Tasks: Dive into AI risk management and help shape the future of AI accountability.
- Company: Join governr, a pioneering tech firm revolutionising AI control for regulated enterprises.
- Benefits: Enjoy meaningful equity, competitive salary, and direct exposure to founders and industry leaders.
- Why this job: Be at the forefront of AI governance, tackling real-world challenges in a dynamic environment.
- Qualifications: 3-5 years in AI/ML roles with a focus on risk assessment and technical auditing.
- Other info: Gain varied experience across customer success, operations, and market-facing activities.
The predicted salary is between 60000 - 80000 £ per year.
About governr: governr is the control and accountability infrastructure for AI in regulated enterprises - the system of record for a firm’s entire AI estate, with 24/7 risk exposure management and regulatory adherence. We were founded by operators who’ve built risk and control stacks for high frequency trading, volatility and tail-risk management applied to non-deterministic AI at scale. Our advisory panel includes formal global heads of capital markets, risk management, AI deployment, and country-level leadership of critical security infrastructures.
The moment every regulated firm on earth is required - by their board, regulator, and insurer - to prove they have control over their AI. Most cannot. The EU AI Act, the FCA’s PS26/2, FINRA, MAS, SEC, Freddie Mac, HIPAA, MHRA, MOD, DORA, GDPR 22, Consumer Duty, FRC, SMCR - every regulatory jurisdiction across industry segments demands this. Makes AI accountability personal. Insurers are pulling cover. This is the Wiz moment for AI - the control and context gap of AI turns into a category-defining platform.
The product governr combines 60 AI-specific risk factors, 80 agent-level controls, and 850 regulatory mappings into a single control panel. Every AI system, model, agent, and supplier in a firm’s estate - risk managed, monitored, and auditable with AI-native automation. It is the future language of how AI deployment, trust, and risk is answerable in minutes, not months. It is the first and only platform purpose-built for the AI control problem regulated enterprises now face.
Practical experience:
- Worked in or around AI/ML teams in a delivery or assurance capacity.
- A background in technology risk, ML engineering, or technical consulting with AI exposure.
- Three to five years of experience.
- Recognise what gaps and weaknesses look like in practice.
Specific things you would be able to do:
- Read and interpret a data pipeline to identify missing lineage tracking, PII scanning, or quality checks.
- Review model evaluation results and assess whether HELM benchmarks have been run properly.
- Evaluate an agent's system prompt for compliance with iteration limits and tool restrictions.
- Examine an API auth setup for correct implementation of OAuth2.
- Identify whether logging is genuinely structured and centralised.
You don't need to build any of these things. If you do, that’s a bonus. You need to know what a properly implemented version looks like versus a superficial one.
Useful background:
- Experience reviewing or auditing technical AI or ML systems.
- Written technical risk assessments or assurance reports that were credible and useful.
- Comfortable facilitating workshops with mixed technical and non-technical audiences.
- Familiar with at least one cloud provider's data and ML tooling stack.
- Some exposure to EU AI Act, GDPR, or NIST AI RMF is useful but not essential.
- Background in technology governance, data protection, compliance, or risk management.
What you get:
- Meaningful equity.
- A salary competitive for the stage.
- Direct founder exposure: work closely with senior industry-leading AI, risk, data, and technology practitioners.
- Real responsibility early: a chance to take ownership.
- High-value customer exposure: interact with serious, senior stakeholders at important firms.
- Career-building topic area: AI risk and governance is a defining enterprise issue.
- Front-row seat to building a category: see how a category gets built.
- Varied work: the role cuts across customer success, GTM, operations, and market-facing activity.
How to apply: Send a short note to rajen@governr.ai explaining, in your own words, why this role and why now. No cover letter template. No CV tricks. Tell us your experience. Be ready to talk over a 20-min coffee or a call over the weekend or in the evening.
AI Risk Practitioner in London employer: governr
Contact Detail:
governr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Risk Practitioner in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and risk management space on LinkedIn or at industry events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your expertise! Prepare to discuss your experience with AI systems and risk management in detail. Be ready to share specific examples of how you've identified gaps or improved processes.
✨Tip Number 3
Be proactive! If you see a company like governr that excites you, don’t wait for a job posting. Send them a message expressing your interest and how you can contribute to their mission.
✨Tip Number 4
Practice makes perfect! Set up mock interviews with friends or mentors to refine your pitch. Focus on articulating your understanding of AI risk and governance clearly and confidently.
We think you need these skills to ace AI Risk Practitioner in London
Some tips for your application 🫡
Be Yourself: When you write to us, let your personality shine through! We want to know who you are and why you're excited about this role. Skip the formalities and just be genuine.
Show Your Experience: Make sure to highlight your relevant experience in AI and risk management. Share specific examples of your work that relate to the job description, so we can see how you fit into our team.
Keep It Short and Sweet: We appreciate brevity! A short note is all we need. Focus on the key points that make you a great fit for the role and why you’re interested in joining us at governr.
Reach Out Directly: Don't hesitate to apply through our website or drop us an email at rajen@governr.ai. We're looking forward to hearing from you and having a chat over coffee or a call!
How to prepare for a job interview at governr
✨Know Your AI Risk Fundamentals
Before the interview, brush up on the key concepts of AI risk management and regulatory frameworks like the EU AI Act and GDPR. Being able to discuss these topics confidently will show that you understand the landscape and can contribute meaningfully.
✨Demonstrate Practical Experience
Prepare specific examples from your past roles where you've identified gaps in AI systems or contributed to risk assessments. This will help you illustrate your hands-on experience and pattern recognition skills, which are crucial for this role.
✨Familiarise Yourself with Their Product
Take some time to understand governr's platform and how it addresses AI accountability. Being able to discuss their product and its features will demonstrate your genuine interest in the company and the role.
✨Engage in Thoughtful Questions
Prepare insightful questions about the company's approach to AI risk and governance. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals and values.