At a Glance
- Tasks: Lead AI-powered solutions and transform client workflows with innovative technology.
- Company: Join Invisible Technologies, a fast-growing AI company reshaping enterprise operations.
- Benefits: Competitive salary, bonuses, equity, and flexible work arrangements.
- Other info: Dynamic environment with unmatched growth opportunities and a culture of ownership.
- Why this job: Be at the forefront of AI innovation and make a real impact on businesses.
- Qualifications: 5+ years in software engineering, strong Python skills, and experience with ML frameworks.
The predicted salary is between 30000 - 50000 £ per year.
About Invisible
Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.
Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.
About The Role
As a Staff Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client.
This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate.
**Please note - We are always looking to connect with talented individuals for this role. This posting is part of our ongoing effort to build a strong pipeline of candidates and may not correspond to an immediate opening. Candidates who move forward in the process may be considered for current and future opportunities as they arise.
What You’ll Do
- Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
- Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
- Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
- Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
- Build shared infrastructure, reusable components, and internal playbooks to level-up the team
- Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible
What We Need
- 8+ years of software engineering experience, including significant time spent building data, ML, or backend systems
- Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
- Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
- Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
- Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
- Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
- Experience building usable systems from messy data and ambiguous requirements
- Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
- Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
- Be willing to be on-call for our customers when situations arise
- Able to travel 25–50% of the time as needed for on-site client engagements
- Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience
What’s In It For You
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.
For this position, the annual salary range by location:
- NY / SF: $210,000 - $300,000 USD
- London: £128,000 - £180,000 GBP
*Offers will also include bonus + equity
You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
Bonuses and equity are included in all offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.
What It's Like to Work at Invisible:
At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.
We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.
Country Hiring Guidelines:
Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.
AI Interviewing Guidelines:
Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates.
Accessibility Statement:
We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557
Equal Opportunity Statement:
We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.
Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
Staff Software Engineer (Forward Deployed) in London employer: Invisible Technologies
Invisible Technologies is an exceptional employer that champions innovation and ownership, offering a dynamic work culture where employees can thrive in fast-paced environments. With significant growth opportunities, competitive compensation, and a commitment to fair pay, team members are empowered to shape the future of AI while collaborating with world-class clients. Join us to be part of a transformative journey that values creativity and bold ideas, making a real impact in the enterprise landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer (Forward Deployed) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your skills align with their needs. Practise common interview questions and have examples ready that showcase your experience in AI and software engineering.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, make sure to highlight your best work. This is your chance to demonstrate your technical skills and creativity, especially in AI-driven solutions.
✨Tip Number 4
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 being part of the Invisible team. Don’t miss out!
We think you need these skills to ace Staff Software Engineer (Forward Deployed) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Staff Software Engineer role. Highlight your experience with AI, Python, and any relevant frameworks like Hugging Face or OpenAI. We want to see how your skills align with what we do!
Showcase Your Projects:Include specific examples of projects you've led or contributed to, especially those involving messy data or ambiguous requirements. We love seeing how you've turned challenges into successful outcomes, so don’t hold back!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point—just like our workflows!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way to ensure it reaches us quickly and efficiently. Plus, you’ll get to see more about our culture and values while you’re at it!
How to prepare for a job interview at Invisible Technologies
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the ML/LLM frameworks mentioned in the job description. Brush up on your knowledge of Hugging Face, LangChain, and OpenAI, as you might be asked to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've turned messy data into usable systems. Be ready to discuss specific challenges you've faced and how you approached them, especially in high-stakes environments. This will demonstrate your ability to thrive in ambiguity.
✨Communicate Like a Pro
Since this role involves working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you can convey your ideas clearly and effectively during the interview.
✨Be Ready for Real-World Scenarios
Expect to engage in discussions about architecture design and trade-offs. Prepare to talk about your experience leading projects from scoping to deployment, and think about how you would handle client-facing situations, especially when things don’t go as planned.
