At a Glance
- Tasks: Design and implement AI solutions for clients, ensuring seamless integration and reliable deployment.
- Company: Join CloudFactory, a mission-driven tech company transforming the world with AI.
- Benefits: Competitive salary, relocation assistance, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and personal development.
- Why this job: Make a real impact by working on innovative AI projects with a global community.
- Qualifications: 2+ years in software engineering, strong Python skills, and experience with cloud infrastructure.
The predicted salary is between 63000 - 77000 £ per year.
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale. More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.
Our Culture
- Mission-Driven: We focus on creating economic and social impact.
- People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
- Innovative: We embrace change and find better ways to do things together.
- Globally Connected: We foster collaboration between diverse cultures and perspectives.
If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!
Role Summary:
CloudFactory is an AI enablement company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage AI to disrupt their industries but lack the skills or capabilities needed to design, prove, develop and deploy AI solutions, we offer Forward Deployed Engineering services that can advise, design, prove, develop, scale and operate AI solutions for them.
You will work directly with strategic clients to design and implement scalable technical integrations, define production-ready workflows, and ensure AI systems transition from experimentation to reliable deployment. This is a hands-on engineering role with strong product and client-facing responsibilities.
Location & Travel:
- Preferred location: Reading area, UK and Berlin, Germany
- Relocation assistance available for qualified candidates
- Frequent travel to client sites may be required (depending on client needs)
Responsibilities:
- AI Deployment Architecture: Design and implement integrations between client systems and CloudFactory’s platform; Architect scalable agentic AI & human-in-the-loop workflows; Define data ingestion, transformation, and feedback loops; Evaluate system bottlenecks (latency, quality, throughput).
- Product Readiness & Scale: Translate proof-of-concept AI systems into scalable production workflows; Identify operational risks before deployment; Partner with Delivery teams to ensure execution feasibility; Improve reliability and reduce manual intervention.
- Hands-on Engineering: Build APIs, connectors, automation scripts, and data pipelines; Debug integration issues in client environments; Contribute to internal platform enhancements.
- Field Product Intelligence: Surface recurring patterns from client deployments; Distinguish between custom solutions and reusable features; Influence roadmap priorities with evidence from the field.
- Technical Leadership: Lead technical discovery sessions; Support pre-sales validation; Act as trusted advisor to enterprise engineering teams.
Engineering depth:
- 2+ years software engineering experience
- Strong proficiency in Python, Go
- Proficiency with Claude and all relevant AI tools
- Experience with cloud infrastructure (AWS/GCP/Azure)
- Experience building APIs and working with distributed systems
Systems thinking:
- Experience designing data pipelines or ML infrastructure
- Ability to evaluate end-to-end workflow performance
- Familiarity with AI/ML lifecycle (training to inference to evaluation to feedback)
Product judgement:
- Ability to differentiate scalable feature opportunities from custom requests
- Strong prioritization instincts
Communication:
- Ability to communicate with C-level and deeply technical stakeholders
- Comfortable running technical workshops
- Able to translate ambiguity into architecture
At CloudFactory, we believe that work should be more than just a job, it should be a platform for growth, impact, and community. Here, you’ll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we’d love to have you on this journey! Join us today and be part of our mission to connect people and technology for a better world!
Forward Deployed Engineer in Reading employer: CloudFactory Limited
CloudFactory is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact the client-facing experience of our enterprise platform. With a strong emphasis on employee growth, you will have ample opportunities to mentor others and shape strategic roadmaps alongside cross-functional teams, all while enjoying the vibrant atmosphere of our dynamic location.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer in Reading
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at CloudFactory Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to CloudFactory Limited.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like CloudFactory Limited.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like CloudFactory Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward Deployed Engineer in Reading
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at CloudFactory Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CloudFactory Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at CloudFactory Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If CloudFactory Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
