At a Glance
- Tasks: Build intelligent systems and turn complex data into impactful AI solutions.
- Company: Join a global leader in information and analytics with a culture of innovation.
- Benefits: Enjoy flexible hours, generous vacation, and comprehensive wellbeing initiatives.
- Other info: Collaborative environment with excellent growth opportunities and mentoring.
- Why this job: Make a real impact on science and healthcare while advancing your career.
- Qualifications: 4+ years in software engineering, ideally with AI experience.
The predicted salary is between 80000 - 100000 £ per year.
Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy designing models that turn complex data into impactful solutions?
About the team
Embedded Innovation Teams are cross‑functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem‑first rather than tool‑first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster.
About the role
As a Senior Software / Senior AI Engineer, you will be an experienced member of an embedded Innovation Squad, taking on difficult research, design, and software development assignments within the squad's product area. Working under the guidance of more senior members of the squad, you will provide direct input to project plans, schedules and delivery approach, and perform software design across multiple components as we turn AI experimentation into validated, reusable solutions.
You will work with others to talk to internal stakeholders and end users in the host function, translating their requests into workable solutions. You will write and review specifications, complete complex bug fixes, and help embed coding best practices and code reviews. You are also developing your skills as a mentor, supporting the growth of more junior engineers through pair programming and everyday collaboration.
Key Responsibilities
- Build prototypes and proofs of concept and ship agentic AI solutions to production standard within a defined technical approach.
- Implement and test tool use, retrieval pipelines, and agent workflows.
- Contribute to evaluation, observability and guardrails for agentic systems, identifying operational requirements for logging, instrumentation and alerting.
- Instrument solutions to capture outcome data against established baselines.
- Integrate AI capabilities into existing enterprise workflows and systems.
- Interface with technical peers and team members to finalise requirements and write and review portions of detailed specifications for complex system components.
- Translate product requirements into software designs, working alongside host‑function stakeholders to ensure the build fits real workflows, not assumed ones.
- Complete moderately complex bug fixes and flag technical risks and blockers early.
- Implement continuous integration, delivery, and deployment practices, and apply coding best practices and code reviews.
- Maintain high code quality and documentation, and build solutions for reuse, contributing to patterns, reference implementations, and starter kits so work done in one function can be picked up by another.
- Operate across various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
- Pair‑program with squad members, and support handover and capability‑building in the host function so solutions are owned and operable after the squad moves on.
- Develop your skills in mentoring less senior engineers on development methodologies and optimisation techniques.
- Keep abreast of new technology developments and take on related responsibilities as the squad's needs evolve.
Requirements
- 4+ Years of software engineering experience, ideally including exposure to AI‑enabled or data‑intensive systems.
- BS in Engineering, Computer Science, or equivalent.
- Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time‑boxed cycles where validated outcomes matter more than perfect solutions.
- Building RAG pipelines, tool‑augmented agents and agentic workflows; familiar with prompt engineering, context management, evaluation and observability.
- Understands how agents use memory, tools, and retrieval to complete multi‑step tasks.
- Able to design across multiple components and translate product requirements into workable software designs, not just implement a defined spec.
- Able to write and review portions of detailed specifications for complex system components.
- Integrating AI into existing systems via APIs and data pipelines.
- AWS, Azure, or GCP.
- CI/CD, modern SDLC, TDD, and code review.
- Working with relational, columnar, and vector stores, grounded in sound data‑modelling principles.
- Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs.
- Developing skills in mentoring engineers through pair programming and day‑to‑day collaboration.
- Clear written and verbal communication with technical peers and stakeholders.
- Instrumenting solutions to capture usage, productivity, and quality metrics against established baselines.
Why Join Us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your well‑being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Comprehensive Pension Plan
- Generous vacation entitlement and option for sabbatical leave
- Maternity, Paternity, Adoption, and Family Care Leave
- Personal Choice budget
- Internal communities and networks
- Various employee discounts
- Recruitment introduction reward
- Employee Assistance Program (global)
About the business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At the company, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1‑855‑833‑5120.
Equal Opportunity Employer
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Senior Software Engineer/ Senior AI Engineer in London employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer/ Senior AI Engineer in London
✨Join Local Tech Meetups
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We think you need these skills to ace Senior Software Engineer/ Senior AI 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 United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC 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 United States Digital Space LLC
✨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 United States Digital Space LLC 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.
