At a Glance
- Tasks: Lead the development of innovative AI solutions that transform professional workflows.
- Company: Join Thomson Reuters, a global leader in tech and information services.
- Benefits: Enjoy flexible work arrangements, competitive pay, and comprehensive health benefits.
- Other info: Be part of a diverse team committed to innovation and social impact.
- Why this job: Make a real-world impact by shaping the future of AI in various industries.
- Qualifications: 8+ years in software engineering with a focus on AI/ML; strong Python skills required.
The predicted salary is between 81000 - 99000 £ per year.
Ready to build the AI that transforms how professionals work? Join a dynamic, high-caliber team at Thomson Reuters, where we're investing boldly in AI and pushing into emerging frontiers with the backing, data, and reach of a global leader. As a Staff Software Engineer, AI, you'll take the lead in developing the intelligent systems powering the next generation of expert solutions across legal, tax, risk, and compliance.
About The Role
- Spearhead the development of groundbreaking AI-powered solutions and drive bold technical strategy.
- Team up with senior stakeholders, product leadership, and cross-functional teams to architect, build, and scale enterprise-grade AI systems that redefine how we deliver value to customers.
- Design and lead the build-out of ambitious, enterprise-scale AI systems - from sophisticated multi-component pipelines to advanced retrieval-augmented generation (RAG) architectures and autonomous AI agents with multi-step reasoning capabilities.
- Push the boundaries of AI model adaptation and customization for specialized domains, fueling breakthrough innovation in expert systems for legal, tax, fraud, and compliance.
- Define the technical standards and best practices that shape AI system architecture across the organization.
- Partner with AI researchers, senior engineering leadership, design, and product teams to turn AI capabilities into market-leading applications.
- Shape product strategy with deep technical expertise and sharp market instincts.
- Lead the charge in evaluating and adopting cutting-edge AI techniques to crack the business's toughest challenges.
- Drive proof-of-concept projects from spark to signal, guiding technical feasibility assessments for bold new AI-driven features.
- Stay on the leading edge of AI research and emerging technologies, turning fresh insights into actionable technical roadmaps.
- Drive high-impact innovation initiatives and stake the organization's claim in emerging AI technology areas.
- Mentor and energize a team of senior and junior software engineers, fueling their technical growth and career development.
- Step up as a senior thought leader - driving technical discussions in executive forums and representing Thomson Reuters on stage at industry conferences and events.
About You
- Bachelor's degree in Computer Science, Engineering, or equivalent experience; Master's degree preferred.
- 8+ years of experience in software engineering with at least 4 years in senior or lead roles focused on AI/ML.
- Experienced with Generative AI/RAG/LLM.
- Expert-level proficiency in Python and extensive experience with AI/ML frameworks (PyTorch, TensorFlow, JAX).
- Deep understanding of machine learning principles, advanced evaluation methodologies, and distributed system design.
- Proven experience with MLOps/LLMOps and managing the complete lifecycle of enterprise AI-powered applications.
- Demonstrated expertise integrating AI models into large-scale production systems using APIs, data pipelines, and cloud-native architectures.
- Advanced experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Docker, Kubernetes, Terraform).
- Strong leadership experience driving technical initiatives.
- Excellent strategic thinking, problem-solving skills, and ability to operate effectively in complex, fast-paced environments.
- Outstanding communication and presentation skills with experience influencing senior stakeholders.
- Experience leading teams in building AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs from providers like OpenAI, Anthropic, and others.
- Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval systems.
- Domain expertise in legal, tax, accounting, or other regulated industries.
- Track record of successful AI product launches and scaling AI systems to enterprise customers.
- Portfolio demonstrating leadership in innovative LLM-based solutions and AI product development.
- Experience with AI governance, model risk management, and regulatory compliance.
What's in it For You?
- Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role).
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges.
- Industry Competitive Benefits: We offer comprehensive benefit plans including flexible vacation, mental health days off, retirement savings, tuition reimbursement, and resources for wellbeing.
- Culture: Globally recognized for inclusion and belonging, flexibility, and work-life balance.
- Social Impact: Make an impact in your community with our Social Impact Institute.
- Making a Real-World Impact: We help our customers pursue justice, truth, and transparency.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media.
Staff Software Engineer AI in London employer: Thomson Reuters
Thomson Reuters is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to lead the development of cutting-edge AI solutions. With a strong commitment to work-life balance, comprehensive benefits, and a culture that prioritises inclusion and professional growth, employees can expect to make a meaningful impact while advancing their careers in a globally recognised organisation. The hybrid work model and opportunities for community engagement further enhance the appeal of working in London, a vibrant hub for technology and legal expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer AI 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 Thomson Reuters 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 Thomson Reuters.
✨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 Thomson Reuters.
✨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 Thomson Reuters 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 Staff Software Engineer AI 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 Thomson Reuters.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Thomson Reuters 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 Thomson Reuters
✨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 Thomson Reuters 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.
