Software Engineer - Machine Learning (London, United Kingdom)

United States Digital Space LLC; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

United States Digital Space LLC is expanding its Roundtripping team, seeking AI Product Engineers across multiple levels in the UK. You will lead large-scale engineering projects, work on user-facing LLM features, and help take ideas from design to production.

Join a fast-moving team building Dev Mode MCP tools and shaping the future of design-to-code workflows. You will mentor peers, collaborate across design, product, and engineering, and contribute to high-impact products with a strong focus

Qualifications

• 3+ years of leading large scale engineering projects with high impact.
• Working with user facing LLM and agentic product features.
• Experience curating and developing eval sets and LLMs as judges.
• Attention to detail, quality, and craftsmanship.
• High velocity and a focus on user impact.

Responsibilities

• Build and evolve Dev Mode our MCP tools and Make, the company's leading tools for dev/design collaboration.
• Take part in building new 0→1 products within the agentic coding space.
• Collaborate with designers, PMs, and other engineers craft high quality products.
• Be a mentor to, and be mentored by, exceptional peers across engineering, product and design.
• Build strong personal connections with your teammates and help shape the company's culture.

Skills

Leadership

LLM features

Eval sets

React

Typescript

Cross-functional

Mentorship

Tools

Dev Mode

MCP tools

Make

Job description

the company is growing our team of passionate creatives and builders on a mission to make design accessible to all. the company's platform helps teams bring ideas to life - whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, the company empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!

At the company we believe design doesn't end in a file or with your designer - it includes everything that goes into the product you ship: the production code that ties it all together, the systems and developer tools that make that code reliable, the context you provide to our AI agents, and the documentation that keeps everyone on the same page.

The Roundtripping Area at the company is redefining how Designers, PMs and Engineers collaborate. We are responsible for agentic workflows enabling ideation and prototyping on production codebases as well as accelerating the journey from design to code. In 2023, we launched Dev Mode, a suite of features that give developers everything they need to navigate design files and transform designs into code. In 2025, we introduced the company's MCP, accelerating how ideas get to production. Looking to the future, we aim to further reduce the barriers between design to code and code to design allowing ideation, prototyping and productionalising to happen seamlessly where it most makes sense.

Our Roundtripping team is expanding, and we're hiring AI Product Engineers across multiple levels in the UK. We're looking for people who have built generative AI products and are eager to lead AI efforts end-to-end, from early ideas to production.

Join us in shaping the future of AI at the company.

What you'll do at the company:

• Build and evolve Dev Mode our MCP tools and Make, the company's leading tools for dev/design collaboration

• Take part in building new 0→1 products within the agentic coding space

• Collaborate with designers, PMs, and other engineers craft high quality products

• Be a mentor to, and be mentored by, exceptional peers across engineering, product and design

• Build strong personal connections with your teammates and help shape the company's culture

We'd love to hear from you if you have:

• 3+ years of leading large scale engineering projects with high impact

• Working with user facing LLM and agentic product features

• Experience curating and developing eval sets and LLMs as judges

• Attention to detail, quality, and craftsmanship

• High velocity and a focus on user impact

While it's not required, it's an added plus if you also have:

• Driving XFN projects collaborating with Product, Design, Data and Research

• Shipping user-facing features or products as a full-stack developer

• Demonstrated strong fluency with React and Typescript

• Experience communicating and working across functions to proactively drive solutions

• Trained or fine-tuned LLMs

At the company, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

At the company we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. the company is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to [e-mail].

These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.

Examples of accommodations include but are not limited to:

• Holding interviews in an accessible location

• Enabling closed captioning on video conferencing

• Ensuring all written communication be compatible with screen readers

• Changing the mode or format of interviews

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with the company's Candidate Privacy Notice.