At a Glance
- Tasks: Lead the AI Innovation Team to develop cutting-edge AI solutions for patent analytics.
- Company: Join LexisNexis, a leader in legal and business information, committed to innovation and diversity.
- Benefits: Enjoy generous holidays, health perks, wellbeing programs, and extensive learning resources.
- Why this job: Be part of a vibrant team driving AI advancements in a collaborative and diverse environment.
- Qualifications: Solid Python skills with experience in LLMs, NLP frameworks, and cloud platforms required.
- Other info: Mentorship opportunities available, especially for women in tech through dedicated programs.
The predicted salary is between 43200 - 72000 £ per year.
Engineering Lead
Company Overview
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 Engineering 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
- Solid Python development experience, ideally working in LLMs& 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.
- Experience leading a team of Data Scientists/ML Engineers/BE Engineers on multiple projects would be preferred
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.
LexisNexis Intellectual Property Solutions | 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 LexisNexis Intellectual Property Solutions | Engineering Team Lead
✨Tip Number 1
Familiarize yourself with the latest trends in Generative AI and how they apply to patent data. 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
Network with professionals in the AI and intellectual property sectors. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the challenges and innovations in the field.
✨Tip Number 3
Showcase your leadership skills by discussing any previous experiences where you led a team or project. Highlight how you managed challenges and drove innovation, as this is crucial for the Engineering Lead position.
✨Tip Number 4
Prepare to discuss specific AI methodologies you've used in past projects, especially those related to LLMs and NLP frameworks. Being able to articulate your hands-on experience will set you apart from other candidates.
We think you need these skills to ace LexisNexis Intellectual Property Solutions | Engineering Team Lead
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience with AI solutions, Python development, and any relevant projects related to LLMs and NLP frameworks. Emphasize your leadership skills and experience managing teams.
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 Engineering Lead role. Mention specific examples of past projects where you drove AI-driven innovation.
Showcase Relevant Skills: Clearly list your technical skills, especially those related to Prompt Engineering, RAG techniques, and cloud platforms like Azure or AWS. Highlight any experience with patent data or intellectual property markets if applicable.
Demonstrate Cultural Fit: Reflect on LexisNexis's commitment to diversity and collaboration in your application. Share experiences that demonstrate your ability to work in multicultural environments and your support for initiatives like Women in Technology.
How to prepare for a job interview at LexisNexis Intellectual Property Solutions
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, LLMs, and NLP frameworks. Highlight specific projects where you've applied these technologies, especially in relation to Generative AI and machine learning workflows.
✨Demonstrate Leadership Skills
Since the role involves leading a team, share examples of how you've successfully managed teams in the past. Discuss your approach to mentoring junior members and driving recruitment efforts to build a strong team.
✨Understand the Business Context
Familiarize yourself with LexisNexis's products and the intellectual property market. Be ready to discuss how AI can enhance patent search and analytics applications, showing that you understand the business needs.
✨Prepare for Behavioral Questions
Expect questions about your ability to work in a multicultural environment and handle project timelines. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide clear examples.