At a Glance
- Tasks: Lead the development of innovative AI-powered software solutions using Python and cloud technologies.
- Company: Join a global leader in AI innovation with a collaborative and dynamic culture.
- Benefits: Enjoy a competitive salary, flexible hybrid work, and opportunities for professional growth.
- Other info: Be part of a skilled team focused on AI-driven capabilities and continuous improvement.
- Why this job: Make a real impact by building cutting-edge AI applications that drive transformation.
- Qualifications: 6+ years in software engineering with strong Python and cloud experience required.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a Lead Software Engineer to join our AI Engineering team in London. This is an exciting opportunity to work on cutting-edge AI-powered software, building reliable, scalable solutions that leverage Python, cloud technologies (Azure/AWS), microservices, and LLM-based applications.
You will be joining a small, highly skilled engineering team, reporting to the Engineering Manager. We have deep expertise in backend development, AI/ML, cloud services, and data engineering, and we would love to speak with you if you have strong skills in Python backend engineering, cloud ecosystems, and AI-driven solution development.
About You – experience, education, skills, and accomplishments
- Bachelor’s degree in computer science, Software Engineering, or a related field, or equivalent experience.
- 6+ years of professional software engineering experience, including 3+ years developing backend systems in Python (APIs, microservices, ETL pipelines).
- 5+ years of experience working in cross-functional, agile teams, collaborating with Product, Cloud Ops, Architecture, Engineering, and SMEs.
- 1+ year of experience working with LLMs or agentic AI applications, with demonstrable understanding of their reliability challenges.
- 3+ years of experience working in cloud environments (Azure or AWS), including deploying or integrating backend services.
It would be great if you also have . . .
- Experience contributing to or defining software architecture for complex systems.
- Experience with AI/ML workflows, such as RAG, vector databases, or evaluation techniques.
- Experience mentoring or providing technical guidance to other engineers.
- Scoping technical projects from initial ideas through implementation, taking initiative in shaping direction and contributing to strategic decisions such as whether to build capabilities in-house, use cloud-native services, or adopt open-source technologies.
- Designing, developing, and maintaining backend services, including APIs, microservices, and ETL pipelines running in Azure or AWS.
- Translating ideas, requirements, and problem statements from multiple teams into high-quality, reliable code and working proof-of-concepts.
- Collaborating closely with Cloud Operations, Solution Architecture, Product Engineering, Product Management, and SMEs to understand needs and deliver technical solutions.
- Building and iterating LLM-based or agentic AI applications, ensuring reliability, quality, and awareness of AI limitations.
- Evaluating and integrating with applications written in other languages (e.g., Java, Typescript) when needed.
- Leading the technical approach on assigned work by taking initiative and ownership from design through implementation.
- Testing, validating, and continuously improving solutions through unit tests, automation, and iterative development.
- Progressing projects from initial concept to prototype and contributing to the technical plans needed to move them toward production.
- Working in an agile, fast-paced environment, adapting priorities based on business needs and contributing to a culture of continuous improvement.
About the Team
Our team is part of the LS&H Innovation group, focused on developing AI-driven capabilities across the organization. The immediate team consists of the Engineering Manager and three Lead Software Engineers. We also work closely with Solutions Architects, who play a key role in shaping technical direction and supporting platform development.
We operate within a broader AI Innovation ecosystem that includes multiple software engineering teams and a dedicated Product Management function. Collaboration across these groups is central to how we explore opportunities, build innovative solutions, and accelerate AI adoption across the organization.
Hours of Work
This is a full-time position, primarily working core business hours in BST time zone, with flexibility to adjust to various global time zones as needed. This is a hybrid position working in the office 2-3 days a week.
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.
Clarivate is a global leader in trusted and transformative intelligence. We bring together enriched data, insights, analytics and workflow solutions, grounded in deep domain expertise across the spectrum of knowledge, research and innovation.
Whether it’s providing insights to transform the water industry or accelerating the delivery of a critical vaccine, our aim is to fuel the world’s greatest breakthroughs by harnessing the power of human ingenuity.
Lead Software Engineer . AI Innovation (LS&H) in City of London employer: Clarivate Analytics
At Clarivate, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within our AI Engineering team in London. Our commitment to employee growth is evident through continuous learning opportunities and mentorship, while our hybrid work model ensures a healthy work-life balance. Join us to be part of a forward-thinking organisation that values your contributions and empowers you to drive meaningful change in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer . AI Innovation (LS&H) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or software engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, cloud technologies, and AI applications. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to backend development and AI. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Lead Software Engineer . AI Innovation (LS&H) in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, cloud technologies, and AI-driven solutions. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're excited about the Lead Software Engineer role and how your background makes you a perfect fit for our AI Engineering team. Keep it engaging and personal.
Showcase Your Teamwork Skills:Since we work in cross-functional, agile teams, it's important to highlight your collaboration experiences. Share examples of how you've worked with different teams to deliver successful projects, especially in AI or cloud environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team!
How to prepare for a job interview at Clarivate Analytics
✨Know Your Tech Stack
Make sure you’re well-versed in Python, cloud technologies like Azure or AWS, and microservices. Brush up on your experience with LLMs and AI-driven solutions, as these will be key topics during the interview.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, be ready to discuss your experience in agile environments. Share specific examples of how you've collaborated with Product, Cloud Ops, and other stakeholders to deliver successful projects.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Prepare to explain your approach to software architecture, backend development, and any challenges you've faced with reliability in AI applications. Practice articulating your thought process clearly.
✨Demonstrate Leadership Potential
As a Lead Software Engineer, showcasing your ability to mentor others and take ownership of projects is crucial. Be prepared to discuss instances where you've led initiatives or provided technical guidance to your team.