At a Glance
- Tasks: Lead innovative AI projects and guide teams to success with your technical expertise.
- Company: Join a forward-thinking tech company that values diversity and innovation.
- Benefits: Enjoy unlimited annual leave, private healthcare, and flexible working options.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in AI while developing your leadership skills.
- Qualifications: Strong Python skills and experience with cloud solutions and containerisation tools.
The predicted salary is between 80000 - 100000 € per year.
About the role
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.
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
- Technical expertise among peers, capable of deep knowledge on particular topics and broad enough to solve almost any problem.
- Strong Python skills and practical experience operationalising models using frameworks such as Scikit‑learn, TensorFlow, or PyTorch.
- Expertise in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and leadership in building full‑stack web applications.
- Hands‑on experience with containerisation tools like Docker and orchestration via Kubernetes.
- Ability to manage and coach a team of engineers, setting team‑wide development goals to improve client delivery.
- Ability to find novel, clever solutions for project delivery and take ownership for successful project outcomes.
- Excellent communication skills, able to proactively help customers achieve their goals and guide both technical teams and non‑technical stakeholders.
We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family‑Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
Lead Forward Deployed Engineer in London employer: Faculty
Join a forward-thinking company that prioritises innovation and employee growth, offering a unique opportunity for Lead Forward Deployed Engineers to lead complex AI projects in a collaborative environment. With benefits like unlimited annual leave, private healthcare, and family-friendly flexibility, we foster a culture that values work-life balance and personal development. Our commitment to diversity and inclusion ensures that all voices are heard, making this an exceptional place to build a meaningful career.
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 your connections in the tech industry, especially those who work with AI or in similar roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, ML frameworks, or cloud solutions. 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 brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've tackled complex problems and led teams in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Forward Deployed Engineer in London
Some tips for your application 🫡
Show Off Your Technical Skills:Make sure to highlight your technical expertise in Python, ML frameworks, and cloud solutions. We want to see how you can apply your skills to real-world problems, so don’t hold back on showcasing your experience!
Tailor Your Application:Take the time to customise your application for the Lead Forward Deployed Engineer role. Use keywords from the job description and relate your past experiences to the responsibilities listed. This helps us see how you fit into our team!
Demonstrate Leadership Experience:Since this role involves guiding teams and mentoring engineers, share examples of your leadership experience. Whether it’s leading projects or coaching others, we want to know how you’ve fostered growth in your previous roles.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Faculty
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with frameworks like Scikit-learn, TensorFlow, or PyTorch. Be prepared to explain how you've operationalised models in the past and share specific examples of your work with cloud solutions like AWS, Azure, or GCP.
✨Showcase Your Leadership Skills
Since this role involves leading a team, think about times when you've successfully managed projects or mentored others. Be ready to discuss how you set development goals for your team and how you fostered growth among your peers. Highlight any experiences where you’ve driven innovation or improved processes.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your ability to define project problems and develop roadmaps. Think of examples where you’ve navigated high-risk environments and made key architectural decisions. Show how you balance trade-offs and guide team priorities effectively.
✨Communicate Clearly and Confidently
Excellent communication is key in this role. Practice explaining complex technical concepts in simple terms, as you'll need to engage with both technical teams and non-technical stakeholders. Be ready to demonstrate how you proactively help customers achieve their goals and defend your rationale to stakeholders.
