At a Glance
- Tasks: Design and build AI solutions that transform businesses across various industries.
- Company: Join Marvik, a leader in innovative AI consulting with a collaborative culture.
- Benefits: Competitive salary, travel opportunities, and hands-on experience with cutting-edge AI technologies.
- Other info: Dynamic role with continuous learning and growth opportunities in a fast-paced environment.
- Why this job: Make a real impact by solving complex problems with AI and collaborating directly with clients.
- Qualifications: 7+ years in software engineering with AI experience; strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
Want to build AI that changes how companies work? At Marvik, we don't build the same product over and over. We partner with companies worldwide to solve real business problems using Artificial Intelligence. One week you might be designing an autonomous agent for a Fortune 500 company. The next, you'll be building recommendation systems, optimizing manufacturing processes, or helping a startup launch its first AI product. Every project is different. Every challenge is new. And every solution you build has a real impact. If you enjoy working closely with customers, moving fast, and turning ambiguity into software, you'll probably love this role.
What do we offer?
- Work on AI projects across multiple industries.
- Travel opportunities to meet clients and collaborate on-site.
- Design and build AI systems that create measurable business impact.
- Solve problems using the latest technologies in Generative AI, Computer Vision, NLP, Recommendation Systems and Machine Learning.
- Work directly with technical and business stakeholders.
- Join one of the strongest AI consulting teams.
- Learn faster by working across different products, industries and technologies.
- Build solutions most engineers only read about.
What you'll do?
- Partner directly with customers to understand complex business challenges and translate them into scalable AI solutions.
- Design solution architectures and end-to-end AI systems from concept to production.
- Prototype quickly, validate ideas with users, and iterate based on real-world feedback.
- Build production-ready AI applications using modern frameworks, cloud platforms, and best engineering practices.
- Develop intelligent agents, RAG applications, recommendation systems, computer vision pipelines, and machine learning solutions.
- Architect scalable, reliable, and maintainable software systems that integrate seamlessly with customer environments.
- Collaborate with researchers, engineers, product teams, and customer stakeholders to deliver measurable business impact.
- Drive technical decisions around system design, AI architecture, scalability, and performance.
- Help shape both the technical solution and the product strategy from discovery through deployment.
- Continuously evaluate emerging AI models, frameworks, and developer tools to improve how we design, build, and ship software.
If you have
- Proven experience building production-grade software: 7+ years in software engineering with at least 2 years delivering AI solutions, or 4+ years building AI systems end-to-end.
- Strong Python skills, with hands-on experience in AI-assisted development (vibe coding).
- Experience with LLMs, Machine Learning or modern AI frameworks.
- Experience with cloud platforms (AWS, Azure, OCI or GCP).
- Comfortable working with customers and ambiguous problems.
- Strong communication skills.
- Curiosity and willingness to learn continuously.
- AI-first development mindset, with daily use of Claude or similar AI coding tools.
- Advanced English.
You'll stand out if you have experience with:
- Agentic AI and multi-agent systems.
- LangChain, LangGraph or similar orchestration frameworks.
- Retrieval-Augmented Generation (RAG).
- Vector Databases (pgvector, Pinecone, Weaviate, Milvus, etc.).
- Model Context Protocol (MCP).
- FastAPI or modern Python backend frameworks.
- CI/CD and MLOps practices.
- Building production AI systems at scale.
- Building enterprise software and/or fast-growing startups.
The industry calls it a Forward Deployed Engineer. At Marvik, we've been building engineers like this for years.
AI Forward Deployed Engineer in London employer: Marvik
Marvik is an attractive employer due to its focus on cutting-edge technologies and a collaborative work environment. Employees have the chance to work on challenging projects while enjoying professional growth opportunities. The company promotes a culture of innovation and proactive contribution from its team members.
StudySmarter Expert Advice🤫
We think this is how you could land AI Forward Deployed Engineer in London
✨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 Marvik 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 Marvik.
✨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 Marvik.
✨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 Marvik 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 AI Forward Deployed Engineer in London
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 Marvik.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Marvik 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 Marvik
✨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 Marvik 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.
