At a Glance
- Tasks: Develop and maintain innovative AI software solutions in a collaborative environment.
- Company: Aioi R&D Lab – Oxford, a leader in AI research and application.
- Benefits: Competitive salary, hybrid work options, and opportunities for professional growth.
- Other info: Dynamic role with leadership opportunities and exposure to diverse projects.
- Why this job: Join a mission-driven team shaping the future of AI and risk management.
- Qualifications: 10+ years of software experience and strong skills in Python, TypeScript, and cloud technologies.
The predicted salary is between 63000 - 77000 £ per year.
Contract
18-month fixed-term contract from signing, running until the end of February 2028
Location
Oxford, hybrid preferred, though we'd consider fully remote for the right person
Aioi R&D Lab – Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society.
We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published.
Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research of our own into agentic AI, privacy-preserving technologies, trustworthy AI, complex systems modelling, and quantum computing.
We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world.
The role
You’ll work across the Lab's broader project portfolio, including our Pricing Engine and other Lab initiatives, building the software and infrastructure that turns research and product ideas into things that actually run.
It's a senior, hands-on engineering role with real scope to lead technically and, where it makes sense, take on line management.
What you'll do
- Contribute directly to the development, testing, and maintenance of Lab projects, products, and initiatives.
- Build robust, maintainable, and operationally sound software and infrastructure using our core stack: React, Type Script, Material UI, Node. js, Python, Postgre SQL, Docker, Kubernetes, Helm, and AWS.
- Work with ML engineers, ML scientists, product managers, and external project partners to understand technical requirements, constraints, and delivery priorities.
- Support other engineers through code review, pair programming, and mentoring, and champion engineering best practice across the Lab.
- Troubleshoot technical, data, and integration issues arising during development and deployment.
- Drive improvements to internal tooling, engineering standards, reusable frameworks, and deployment practices across the Lab.
- Communicate technical trade-offs, risks, and progress clearly to both technical and non-technical stakeholders.
- Step into a Technical Lead role when needed, leading a team of engineers to deliver against agreed timescales.
- Take on Line Management duties when needed, including regular syncs, mentoring, pastoral care, and an annual review cycle.
- What you'll bring
- 10+ years of commercial software experience.
- A degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or another relevant STEM discipline, or equivalent practical experience.
- Familiarity with our core stack, with strong experience in at least two of: Python, Type Script, relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS.
- Strong core software engineering and Dev Ops skills, including CI/CD, version control, containerisation, and cloud deployment.
- A solid grasp of engineering best practice, producing clean, maintainable, well-tested code.
- Comfort with code review, giving clear, actionable, constructive feedback to others.
- Proven effectiveness in a remote-first, iterative agile environment.
- Experience working across the full lifecycle, from experimentation and prototyping through to integration and operationalisation.
- Ability to work effectively in technically complex, ambiguous environments involving multiple stakeholders.
- Strong communication skills, including explaining technical issues and trade-offs clearly to non-specialists.
Bonus points
experience architecting complex distributed software systems for cloud environments, experience deploying ML, AI, or data-driven systems into production or near-production settings, or prior Technical Lead or line management experience.
- A senior, genuinely hands-on engineering role, not one that quietly turns into pure management.
- Broad exposure across the Lab's project portfolio, from the Pricing Engine to whatever comes next, rather than being tied to a single narrow codebase.
- Real scope to shape the engineering standards and tooling the whole Lab relies on.
- #J-18808-Ljbffr
Senior Software Engineer in Oxford employer: AIOI R&D Lab - Oxford
Aioi R&D Lab in Oxford is an exceptional employer, offering a unique blend of academic collaboration and industry application in the field of AI. With a strong focus on employee growth, you will have the opportunity to lead and mentor a talented team while remaining hands-on with cutting-edge projects that drive real-world impact. The hybrid work model promotes a healthy work-life balance, making it an ideal environment for those seeking meaningful and rewarding employment in a forward-thinking company.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer in Oxford
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We think you need these skills to ace Senior Software Engineer in Oxford
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 AIOI R&D Lab - Oxford.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at AIOI R&D Lab - Oxford 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 AIOI R&D Lab - Oxford
✨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 AIOI R&D Lab - Oxford 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.
