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- Tasks: Join our AI Innovation Team to build and manage the Generative AI platform for PatentSight+.
- Company: LexisNexis IP delivers international patent content and innovative analytic tools for the IP market.
- Benefits: Enjoy flexible hours, generous holiday allowance, health benefits, and extensive learning resources.
- Why this job: Be part of a diverse team driving innovation in AI while making a real impact in tech.
- Qualifications: Experience with Python, cloud environments, and large-scale platforms is essential; familiarity with AI/ML is a plus.
- Other info: We promote gender diversity and offer mentoring programs for women in tech.
The predicted salary is between 36000 - 60000 £ per year.
Python Software Engineer – build GenAI capabilities
About the Company:
The LexisNexis Intellectual Property (IP) division (https://www.lexisnexisip.com) provides international patent content and a suite of online and analytic tools that meet the evolving needs of the intellectual property market. We deliver data to support LexisNexis IP search and analytics applications, empowering our customers with actionable insights and metrics for critical business decisions.
Our corporate culture thrives on excellence, innovation, and a strong dedication to our customers, employees, and communities. Working here means joining a vibrant, diverse, and collaborative team where you are free to grow and contribute actively.
About the Role
We are seeking a Python Software Engineer to join our AI Innovation Team, focusing on building and managing the Generative AI platform for PatentSight+. This role involves tackling large-scale engineering challenges in the cloud and leveraging cutting-edge LLMs and toolchains to solve user problems across the board. We\’re after creative, self-motivated individuals with experience in building large-scale platforms, data, and machine learning. You’ll collaborate closely with data scientists, product teams, and stakeholders globally to drive forward innovative solutions.
At RELX, we are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment, RELX has implemented the following initiatives:
Women in Technology (WiT) Mentoring Program: This program is tailored to enhance career development for female talent in tech roles across all our businesses.
Women’s Network Forum: We offer dedicated forums that foster community, mentorship, and professional growth for women.
Inspiring Future Talent: We actively engage with schools, hosting events to inspire young females to consider and pursue careers in technology.
Responsibilities:
- Design, develop, and maintain high-quality, reliable software solutions to support the Generative AI platform.
- Collaborate closely with other development teams, data scientists, and subject matter experts to integrate GenAI functionalities into scalable software systems.
- Ensure all software aligns with security standards and follows SDLC (Software Development Life Cycle) processes.
- Optimise the platform for large-scale operations while continuing to innovate and incorporate new GenAI capabilities.
- Implement and fine-tune Generative AI models to address specific user needs, improving performance and reliability.
- Work on cloud infrastructure to ensure seamless deployment and operation of the AI platform.
- Monitor and enhance software performance to ensure stability and efficiency at scale.
- Stay updated with advancements in AI and machine learning technologies, applying them to enhance platform features.
Requirements
- Demonstrate knowledge and hands-on experience with Python and its associated toolchains for software development.
- Proficient in designing, building, and running large-scale platforms with experience in distributed systems.
- Expertise in cloud environments (AWS, Azure, or GCP), with proven experience in developing and deploying cloud-native applications.
- Demonstrate understanding of RESTful API design and implementation.
- Familiarity with modern programming languages, specifically JavaScript and TypeScript for backend development.
- Experience with front-end frameworks, particularly React.
- Experience with MLOps tools and frameworks (e.g., MLflow, Weights & Biases) for seamless machine learning model deployment and monitoring.
- Prompt Engineering/ Search experience would be a big advantage
- Understanding with AI/ML technologies, particularly Large Language Models (LLMs).
Nice to Have:
- Experience with LangChain / LlamaIndex, vector databases (e.g., FAISS), fine-tuning models on domain-specific data.
- Exposure to patent data or intellectual property markets.
- Experience with SQL, ETL processes, and data orchestration tools (e.g. Azure Data Factory, Talend).
Work in a way that works for you
We promote a healthy work/life balance across the organisation. 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 wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life assurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
LexisNexis Intellectual Property Solutions | Python/ GenAI Engineer employer: LexisNexis Intellectual Property Solutions
Contact Detail:
LexisNexis Intellectual Property Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LexisNexis Intellectual Property Solutions | Python/ GenAI Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in Generative AI and Large Language Models (LLMs). This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with cloud environments like AWS, Azure, or GCP. Be prepared to discuss specific projects where you've developed and deployed cloud-native applications, as this is crucial for the role.
✨Tip Number 3
Highlight any experience you have with MLOps tools and frameworks, such as MLflow or Weights & Biases. Being able to demonstrate your understanding of seamless machine learning model deployment will set you apart from other candidates.
✨Tip Number 4
If you have exposure to patent data or the intellectual property market, make sure to mention it. This background can give you a significant advantage and show that you understand the context in which LexisNexis operates.
We think you need these skills to ace LexisNexis Intellectual Property Solutions | Python/ GenAI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience with Python, cloud environments, and large-scale platforms. Emphasize any relevant projects or roles that showcase your skills in AI and machine learning.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI innovation and how your background aligns with the responsibilities of the role. Mention specific experiences that demonstrate your ability to tackle engineering challenges and collaborate with diverse teams.
Showcase Relevant Projects: Include examples of projects where you implemented Generative AI models or worked with cloud-native applications. Highlight your contributions and the impact these projects had on performance and user satisfaction.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to AI, machine learning, or software development. This shows your commitment to staying updated with advancements in technology, which is crucial for this role.
How to prepare for a job interview at LexisNexis Intellectual Property Solutions
✨Showcase Your Python Expertise
Make sure to highlight your hands-on experience with Python and its associated toolchains. Be prepared to discuss specific projects where you've built large-scale platforms or worked with distributed systems, as this is crucial for the role.
✨Demonstrate Cloud Proficiency
Since the position involves working with cloud environments like AWS, Azure, or GCP, be ready to share examples of how you've developed and deployed cloud-native applications. Discuss any challenges you faced and how you overcame them.
✨Understand Generative AI and LLMs
Familiarize yourself with Generative AI models and Large Language Models (LLMs). Be prepared to discuss how you've implemented or fine-tuned these technologies in past projects, as well as your understanding of their applications in solving user problems.
✨Collaborative Mindset
The role requires close collaboration with data scientists and product teams. Share experiences that demonstrate your ability to work effectively in a team setting, especially in integrating GenAI functionalities into scalable software systems.
