At a Glance
- Tasks: Lead innovative AI projects and guide teams to deliver impactful solutions.
- Company: Join Faculty, a leader in responsible AI with a focus on real-world impact.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Other info: Diverse team culture that values intellectual curiosity and innovation.
- Why this job: Shape the future of AI while making a positive legacy through technology.
- Qualifications: Strong Python skills and experience with cloud solutions and ML frameworks.
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.
Join us as a Lead Forward Deployed Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future.
What you'll be doing:
- Setting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.
- Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.
- Defining project problems, developing roadmaps, and overseeing delivery across multiple work-streams in often ill-defined, high-risk environments.
- Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.
- Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.
- Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition.
- Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.
Who we're looking for:
- You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem.
- You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
- You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications.
- You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.
- You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery.
- You find novel, clever solutions for project delivery and take ownership for successful project outcomes.
- You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.
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.
Lead Forward Deployed Engineer in London employer: Faculty AI
At Faculty, we pride ourselves on being at the forefront of AI innovation, empowering our employees to lead transformative projects that make a real-world impact. Our inclusive work culture fosters intellectual curiosity and collaboration, while our commitment to employee growth is reflected in our unlimited annual leave policy, private healthcare, and family-friendly flexibility. Join us in London, where you will not only shape the future of AI but also enjoy a supportive environment that values diverse perspectives and encourages meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Forward Deployed Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Faculty or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for your interviews by diving deep into AI projects you've worked on. Be ready to discuss your technical expertise and how you've tackled challenges. Show us your passion for innovation!
✨Tip Number 3
Don’t just apply; engage with our content! Follow Faculty on social media, comment on posts, and share your thoughts on AI trends. This shows your enthusiasm and helps you stand out from the crowd.
✨Tip Number 4
Practice makes perfect! Get comfortable with pair programming and system design scenarios. We want to see how you think and solve problems, so practice with friends or online platforms before your interview.
We think you need these skills to ace Lead Forward Deployed Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We love candidates who are genuinely excited about the technology and its potential. Share any personal projects or experiences that highlight your interest in AI and how you envision its applications.
Tailor Your Application:Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, so don’t be shy about showcasing your technical expertise and leadership abilities!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Highlight your key achievements and how they relate to the role of Lead Forward Deployed Engineer.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows 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 your knowledge of AI technologies and frameworks like Scikit-learn, TensorFlow, or PyTorch. Be ready to discuss how you've applied these in real-world scenarios, as this will show your depth of understanding and practical experience.
✨Showcase Your Leadership Skills
Since the role involves leading teams and mentoring engineers, prepare examples of how you've successfully managed projects and guided team members. Highlight your ability to set development goals and foster a collaborative environment.
✨Prepare for Technical Challenges
Expect to face technical challenges during the pair programming and system design interviews. Practice coding problems and system architecture scenarios beforehand, so you can demonstrate your problem-solving skills and architectural decision-making.
✨Communicate Clearly
As an excellent communicator, you'll need to convey complex ideas to both technical and non-technical stakeholders. Practice explaining your thought process clearly and concisely, as this will be crucial in helping clients achieve their goals.
