At a Glance
- Tasks: Lead complex AI projects and architect scalable systems for impactful innovation.
- Company: Join Faculty, a leader in human-centric AI with a strong reputation.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Other info: Diverse and inclusive team culture with opportunities for growth.
- Why this job: Shape the future of AI in finance and make a real difference.
- Qualifications: Expertise in machine learning and experience in designing complex systems.
The predicted salary is between 80000 - 100000 £ per year.
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.
As a Principal Machine Learning Engineer, you will serve as a high-level technical authority, steering our most complex projects and driving the next wave of AI innovation. You will architect scalable, large-scale systems that integrate seamlessly into existing frameworks while setting the technical direction for Faculty’s flagship initiatives. By leveraging your deep expertise, you will provide authoritative advice across business units, fostering team growth and influencing company strategy to ensure our solutions remain at the cutting edge of the industry.
What you'll be doing:
- Architecting sophisticated software and data science frameworks for large-scale, complex systems that meet rigorous functional and non-functional requirements.
- Designing integrated system architectures that scale effectively and align with broader organisational and technical standards.
- Solving intricate technical challenges that span multiple projects or business units, acting as a respected expert for both internal teams and external customers.
- Setting the strategic technical direction for flagship projects, providing the vision and guidance necessary to ensure successful delivery.
- Influencing company-wide technical strategy by leveraging deep domain expertise in machine learning and advanced statistics.
- Advising major initiatives as a technical authority, ensuring that architectural choices are robust, sustainable, and innovative.
Who we're looking for:
- You are a recognised technical authority with extensive experience in machine learning, statistics, and advanced data science methodologies with a specific focus on solutions in the Financial Services space.
- You possess a proven track record of defining software architecture and designing complex systems that thrive within existing organisational frameworks.
- You are a natural problem-solver who can navigate challenges across diverse projects and provide authoritative guidance on major initiatives.
- You have the strategic mindset required to set the technical pulse for high-impact projects and contribute meaningfully to long-term company goals.
- You excel at communicating complex technical concepts to both peers and customers, earning trust through expertise and clear architectural leadership.
- You thrive in an entrepreneurial environment, balancing hands-on system design with the ability to direct others toward technical excellence.
Our Interview Process:
- Talent Team Screen (30 minutes)
- Introduction to the role (45 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- Commercial & Leadership Interview (60 minutes)
Our Recruitment Ethos:
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.
Principal Machine Learning Engineer in London employer: Faculty AI
Contact Detail:
Faculty AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Faculty on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. This insider info can give you a leg up!
✨Tip Number 2
Prepare for those technical interviews by brushing up on your machine learning concepts and system design skills. Practice coding challenges and system architecture scenarios that are relevant to the financial services sector. We want to see your expertise shine!
✨Tip Number 3
Showcase your problem-solving skills during the interview. Be ready to discuss past projects where you tackled complex challenges. We love hearing about how you’ve made an impact in previous roles, especially in AI and data science.
✨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, it shows you’re genuinely interested in joining our team at Faculty.
We think you need these skills to ace Principal Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Principal Machine Learning Engineer role. Highlight your experience in machine learning and how it aligns with our mission at Faculty. We want to see how your skills can help us innovate and build responsible AI.
Showcase Your Expertise: Don’t hold back on sharing your technical achievements! We’re looking for a recognised authority in machine learning, so include specific projects or systems you've architected. This is your chance to shine and show us how you can steer complex projects.
Communicate Clearly: When writing your application, keep it clear and concise. We value the ability to communicate complex ideas simply, so make sure your application reflects that. Use straightforward language to explain your experience and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team at Faculty!
How to prepare for a job interview at Faculty AI
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to financial services. Be prepared to discuss your past projects and how they align with Faculty's mission of responsible AI.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle complex technical challenges. Think through your approach to problem-solving and articulate your thought process clearly. This will demonstrate your expertise and strategic mindset.
✨Communicate Clearly
You’ll need to explain intricate technical concepts to both peers and customers. Practice simplifying your explanations without losing the essence of your ideas. This will help you earn trust and showcase your architectural leadership.
✨Engage with the Team
Since Faculty values collaboration, show your enthusiasm for working in a team environment. Ask insightful questions about the team dynamics and how you can contribute to their success. This will highlight your fit within their culture.