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For Companies At a Glance
- Tasks: Develop intelligent systems for legal, tax, risk, and compliance using cutting-edge AI.
- Company: Join a forward-thinking tech company with a focus on innovation and collaboration.
- Benefits: Enjoy flexible work arrangements, competitive pay, and comprehensive health benefits.
- Why this job: Be at the forefront of AI technology and make a real impact in your field.
- Qualifications: Experience in AI/ML solutions and strong software engineering skills required.
- Other info: Embrace a culture of continuous learning and social impact opportunities.
The predicted salary is between 36000 - 60000 £ per year.
As a Senior Software Engineer – AI, you will play a vital role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains. In this role, you will be an embedded AI expert on the Contract Express team, advancing our document automation platform with cutting-edge AI capabilities.
About the Role
As a Senior Software Engineer – AI, you will:
- Have solid, hands-on experience building and deploying AI/ML solutions in production environments.
- Possess a strong software engineering background, ideally with experience in practical MLOps / LLMOps practices (CI/CD for models, experiment tracking, monitoring, evaluation, and observability).
- Have experience working with large language models (LLMs) and/or NLP techniques, including integration of third-party AI platforms and services.
- Demonstrate a proven ability to make sound architectural decisions and to balance innovation with maintainability, security, and performance.
- Exhibit a collaborative mindset and strong communication skills, with the ability to partner effectively across disciplines and explain complex AI concepts to non-technical stakeholders.
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Senior Software Engineer AI in City of London employer: Refinitiv
Contact Detail:
Refinitiv Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer AI in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software engineering fields. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with MLOps and LLMs. Practice explaining complex concepts in simple terms – it’s key to impressing non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your fit for the Senior Software Engineer – AI role. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior Software Engineer AI in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Software Engineer – AI role. Highlight your hands-on experience with AI/ML solutions and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention your collaborative mindset and communication skills!
Showcase Your Projects: If you've worked on any AI/ML projects, make sure to showcase them in your application. We love seeing real-world examples of your work, especially if they involve large language models or innovative solutions!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our amazing team at StudySmarter!
How to prepare for a job interview at Refinitiv
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss your hands-on experience with deploying AI solutions, especially in production environments. Prepare examples of projects where you've successfully integrated large language models or NLP techniques.
✨Showcase Your MLOps Skills
Since MLOps is a key part of the role, be prepared to talk about your experience with CI/CD for models, experiment tracking, and monitoring. Think of specific instances where you’ve implemented these practices and how they improved project outcomes.
✨Communicate Clearly
You’ll need to explain complex AI concepts to non-technical stakeholders, so practice simplifying your explanations. Use analogies or real-world examples to make your points clear. This will show that you can bridge the gap between technical and non-technical teams.
✨Embrace Collaboration
Highlight your collaborative mindset during the interview. Share experiences where you worked effectively across disciplines. Discuss how you value input from others and how it has led to better decision-making in your projects.
