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- Tasks: Lead and scale a new Machine Learning function, driving AI/ML strategy and building GenAI features.
- Company: Join a fast-growing Series A climate data start-up backed by Google Ventures.
- Benefits: Enjoy a competitive salary, equity options, and flexible working arrangements (3 days on-site).
- Why this job: Be part of a mission to revolutionise the climate risk industry with cutting-edge AI technology.
- Qualifications: 5+ years in Python development, expertise in ML libraries, and experience leading teams.
- Other info: Opportunity to work with major banks and real estate firms on impactful climate solutions.
The predicted salary is between 100000 - 140000 £ per year.
Director of AI/Machine Learning
Series A Climate Data/AI Start Up
£128,000 base + equity (3 days on site, Central London, 2 from home)
Lead and scale a brand new Machine Learning function at one of the UK\’s fastest scaling Series A start ups. With heavy investment from Google Ventures and Series B about to kick off early next year, this is a unique opportunity for a Lead ML Engineer who wants to take the next step in their career.
This firm partner with a range of the largest banks, insurance and real estate firms in the world. They have built out a series of AI driven products and tools that predict the P&L losses these firms will experience due to severe weather events in the future. They are on their way to take over the climate risk industry.
As ML Director you will work closely with senior stakeholders and product teams to drive the companies AI/ML strategy, remaining hands on, building out end to end GenAI features and ML models.
Must Have
- 5 + years in Python development, specializing in ML Libraries such as Scikit-learn and PyTorch.
- Proven ability to lead teams and work with non-technical stakeholders.
- Have worked on GenAI initiatives
Nice to have
- Experience in an early start up environment
- Experience working with Geo-spatial data
Director of Machine Learning employer: Stanford Black Limited
Contact Detail:
Stanford Black Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Machine Learning
✨Tip Number 1
Network with professionals in the AI and machine learning space. Attend industry meetups, conferences, or webinars where you can connect with people who work at similar companies or have insights into the start-up scene.
✨Tip Number 2
Showcase your leadership skills by sharing examples of how you've successfully led teams in previous roles. Be prepared to discuss specific projects where you collaborated with non-technical stakeholders to achieve results.
✨Tip Number 3
Familiarise yourself with the latest trends in climate data and AI applications. Being knowledgeable about how these technologies are being used in the finance and insurance sectors will give you an edge during discussions.
✨Tip Number 4
Prepare to demonstrate your hands-on experience with Python and ML libraries like Scikit-learn and PyTorch. Be ready to discuss specific projects where you've implemented GenAI features and how they impacted the business.
We think you need these skills to ace Director of Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python development and machine learning libraries like Scikit-learn and PyTorch. Emphasise any leadership roles you've held and your ability to work with non-technical stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company’s mission in the climate risk industry. Mention specific projects or experiences that demonstrate your capability in leading ML initiatives and working with GenAI.
Showcase Relevant Experience: If you have experience in an early start-up environment or working with geo-spatial data, make sure to include this in your application. Use concrete examples to illustrate how these experiences have prepared you for the Director of Machine Learning role.
Highlight Your Strategic Vision: As this role involves driving AI/ML strategy, articulate your vision for how you would lead the machine learning function. Discuss how you plan to collaborate with senior stakeholders and product teams to achieve the company's goals.
How to prepare for a job interview at Stanford Black Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python and ML libraries like Scikit-learn and PyTorch. Highlight specific projects where you've successfully implemented machine learning models, especially those related to GenAI.
✨Demonstrate Leadership Skills
Since the role involves leading a new Machine Learning function, be ready to share examples of how you've led teams in the past. Discuss your approach to managing both technical and non-technical stakeholders to ensure everyone is aligned.
✨Understand the Company's Mission
Research the start-up's focus on climate risk and their AI-driven products. Be prepared to discuss how your skills can contribute to their mission and how you can help scale their ML initiatives effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles, particularly in early-stage environments, and how you overcame them.
