At a Glance
- Tasks: Lead a team to develop AI solutions and enhance patent search tools.
- Company: Join LexisNexis, a pioneer in legal and business analytics.
- Benefits: Enjoy generous holidays, health perks, and extensive learning resources.
- Why this job: Be part of a diverse team driving innovation in AI and tech.
- Qualifications: Experience in data science, Python, and AI methodologies required.
- Other info: Commitment to gender diversity and mentorship programs for women in tech.
The predicted salary is between 48000 - 84000 £ per year.
Software Engineering Lead
New GenAI Enablement team
Company Overview
The LexisNexis Intellectual Property (IP) division ( 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 Software Engineer Lead to join our AI Innovation Team. This role focuses on experimenting, optimizing, and applying Generative AI models to extract valuable insights from large-scale patent datasets and enhance our search and analytics tools. You will collaborate with data scientists, product teams, and stakeholders across different geographies, driving innovation through advanced AI methodologies.
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
- Oversee the development of AI solutions, managing the team’s delivery of LLM and GenAI initiatives.
- Drive recruitment efforts, identifying and hiring top talent to grow the team’s AI expertise.
- Lead strategic planning for the team’s career progression, providing feedback and setting development goals.
- Collaborate with cross-functional teams to identify key areas for AI-driven innovation in patent search and analytics applications.
- Manage the team’s day-to-day activities, ensuring project timelines are met and obstacles are addressed promptly.
- Ensure solutions are scalable, maintainable, and aligned with best practices in machine learning.
- Work on GenAI techniques like Prompt Engineering and RAG (Retrieval-Augmented Generation) to optimize LLM performance.
- Develop and implement machine learning workflows, integrating GenAI with existing data infrastructure.
- Perform continuous evaluations and improvements of models to handle large volumes of patent data.
- Collaborate with data engineers and data scientists to integrate AI models seamlessly into the broader data architecture.
- Provide mentorship and coaching to junior team members, fostering a learning culture within the team.
Qualifications
- Experience managing data pipelines and leading a data science team.
- Proficiency in Python and experience with LLMs and NLP frameworks (e.g., Hugging Face, Spacy, Pytorch/Tensorflow).
- Knowledge of Prompt Engineering, RAG techniques, and evaluation methodologies for integrating GenAI with search/retrieval systems.
- Experience with LangChain / LlamaIndex, vector databases (e.g., FAISS), and fine-tuning models on domain-specific data.
- Experience with cloud platforms like Azure, AWS, or GCP for machine learning workflows.
- Understanding of data engineering pipelines and distributed data processing (e.g., Databricks, Apache Spark).
- Strong analytical skills, with the ability to transform raw data into meaningful insights through AI techniques.
- Ability to work both independently and collaboratively in a dynamic, multicultural environment.
Nice to Have
- Exposure to patent data or intellectual property markets
- Experience with SQL, ETL processes, and data orchestration tools (e.g., Azure Data Factory, Talend)
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.
Software Engineering Team Lead employer: LexisNexis Intellectual Property Solutions
Contact Detail:
LexisNexis Intellectual Property Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Team Lead
✨Tip Number 1
Familiarize yourself with the latest trends in Generative AI and machine learning. Being able to discuss recent advancements and how they can be applied to patent data will show your passion and expertise during interviews.
✨Tip Number 2
Network with professionals in the AI and patent fields. Attend relevant conferences or webinars, and connect with people on platforms like LinkedIn. This can help you gain insights into the industry and potentially get referrals.
✨Tip Number 3
Prepare to discuss your experience with team leadership and project management. Highlight specific examples where you've successfully led a team through challenges, especially in AI projects, as this is crucial for the role.
✨Tip Number 4
Showcase your understanding of the patent landscape and how AI can enhance search and analytics tools. Being able to articulate this knowledge will set you apart as a candidate who not only understands technology but also its application in the IP market.
We think you need these skills to ace Software Engineering Team Lead
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience in managing data pipelines and leading data science teams. Emphasize your proficiency in Python and any relevant frameworks like Hugging Face or TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI innovation and how your background aligns with the responsibilities of overseeing AI solutions. Mention specific projects where you've applied Generative AI techniques.
Showcase Relevant Experience: When detailing your work history, focus on experiences that demonstrate your ability to drive recruitment efforts and lead strategic planning for team development. Highlight any mentoring roles you've taken on.
Highlight Collaborative Skills: Since the role involves collaboration with cross-functional teams, provide examples of past teamwork experiences. Discuss how you’ve worked with data engineers and scientists to integrate AI models into existing infrastructures.
How to prepare for a job interview at LexisNexis Intellectual Property Solutions
✨Showcase Your Leadership Skills
As a Software Engineering Team Lead, it's crucial to demonstrate your leadership abilities. Prepare examples of how you've successfully managed teams, driven projects, and mentored junior engineers. Highlight your experience in fostering a collaborative environment and how you handle conflicts or challenges within the team.
✨Discuss Your AI Expertise
Since the role focuses on Generative AI, be ready to discuss your experience with AI methodologies, particularly in LLMs and NLP frameworks. Share specific projects where you've applied these technologies, and explain how you optimized models for performance and scalability.
✨Emphasize Cross-Functional Collaboration
The position requires collaboration with various teams. Prepare to talk about your experience working with data scientists, product teams, and stakeholders. Provide examples of how you've successfully driven innovation through teamwork and how you align different perspectives towards a common goal.
✨Prepare for Technical Questions
Expect technical questions related to machine learning workflows, data pipelines, and cloud platforms. Brush up on your knowledge of tools like Azure, AWS, and relevant programming languages. Be ready to solve problems on the spot or discuss your approach to tackling complex technical challenges.