Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Engineering Team Lead

LexisNexis Intellectual Property Solutions
London
7 months ago
Applications closed

Related Jobs

View all jobs

Head of data engineering - remote

▷ Urgent Search! Lead Data Engineer - Reigate...

Lead Data Engineer

Lead Business Intelligence Developer

Lead Business Intelligence Developer

Senior Data Engineer

Engineering Lead


Ready to make your application Please do read through the description at least once before clicking on Apply.

Company Overview

TheLexisNexis 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 onexcellence, innovation,and a strong dedication to our customers, employees, and communities. Working here means joining avibrant, diverse, and collaborative teamwhere you are free to grow and contribute actively.

About the Role

We are seeking aEngineering 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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.