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For Companies At a Glance
- Tasks: Lead AI projects, build prototypes, and engage with clients to deliver innovative solutions.
- Company: Dynamic AI consultancy focused on cutting-edge technology and client success.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Join a team where your passion for AI can make a real difference.
- Qualifications: Experience in software development, client engagement, and a curiosity for AI technologies.
- Other info: Remote role with travel for client visits and team gatherings.
The predicted salary is between 104000 - 156000 £ per year.
Location: Remote
Travel: Customer visits 4–5 days/month; occasional team gatherings
Salary:
- Senior: €130–150k base + growth trajectory
- Principal: €160–200k base + package discussion
Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG
Industry: AI Consultancy
The Role
We're looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. You'll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles.
This is a role for engineers who:
- Enjoy building real software that makes a difference
- Are passionate about AI and its practical application
- Thrive at the intersection of technical leadership and client engagement
What You'll Do
Customer-Facing Leadership
- Lead discovery workshops with technical and business stakeholders
- Represent the organisation's technical capabilities in high-stakes client meetings
- Build trust and long-term relationships with engineering teams and decision-makers
Solution Development & Architecture
- Build and iterate working AI prototypes quickly
- Architect scalable, maintainable systems from prototype to production
- Make sophisticated technical decisions balancing AI innovation, quality, and deployment needs
Technical Mentorship & Team Growth
- Guide engineers through technical delivery, code reviews, and architectural discussions
- Elevate team capabilities through knowledge sharing, mentoring, and internal workshops
- Contribute to best practices, reusable components, and solution standards
AI Mastery & Innovation
- Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems
- Design evaluation frameworks addressing bias, hallucination detection, and business impact
- Explore novel AI applications while integrating traditional ML techniques where appropriate
Who We're Looking For
For Senior Engineers:
- 5–8+ years building robust, scalable software systems
- Full-stack development capability across modern technologies
- Client-facing experience or technical consulting skills
- AI curiosity and hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot
For Principal Engineers:
- 8+ years delivering complex, enterprise-grade software
- Proven AI/ML expertise with production deployment experience
- Advanced knowledge of transformer architectures, foundation models, and prompt engineering
- Senior stakeholder engagement experience and ability to lead high-level AI strategy
Forward Deployed Engineer in London employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have a lead on that perfect Forward Deployed Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, JavaScript, or AI solutions. When you apply through our website, link to your GitHub or personal site so we can see your work in action.
✨Tip Number 3
Prepare for those client-facing scenarios! Brush up on your communication skills and be ready to discuss how you've solved real-world problems with AI. We love candidates who can build trust and rapport with clients, so practice makes perfect!
✨Tip Number 4
Stay updated on AI trends! Follow industry news, join relevant groups, and engage in discussions about the latest in AI and machine learning. This knowledge will not only help you in interviews but also show us your passion for the field when you apply through our site.
We think you need these skills to ace Forward Deployed Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Forward Deployed Engineer role. Highlight your experience with Python, JavaScript, and any AI projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how it drives your work. Tell us about your client-facing experiences and how you've built trust with stakeholders. We love hearing personal stories that connect to our mission.
Showcase Your Projects: If you've built prototypes or worked on AI solutions, don’t hold back! Include links to your GitHub or any relevant projects in your application. We’re keen to see your hands-on experience and how you approach problem-solving.
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 serious about joining our team!
How to prepare for a job interview at Immersum
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, JavaScript, Azure, and AWS. Brush up on your AI knowledge, especially around LLMs and RAG systems. Being able to discuss these technologies confidently will show that you’re not just familiar but passionate about them.
✨Prepare for Client Engagement Scenarios
Since this role involves a lot of client interaction, think about how you would lead a discovery workshop or handle a high-stakes meeting. Practise articulating your technical capabilities in a way that resonates with non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and business.
✨Showcase Your Problem-Solving Skills
Be ready to discuss past projects where you’ve built prototypes or solved complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help interviewers see your thought process and how you approach challenges.
✨Emphasise Mentorship and Team Growth
Highlight any experience you have in mentoring or guiding other engineers. Talk about how you’ve contributed to team growth through knowledge sharing or workshops. This is crucial for both Senior and Principal roles, as they require strong leadership skills.
