At a Glance
- Tasks: Join a dynamic team to develop cutting-edge AI solutions and analytics.
- Company: LexisNexis Intellectual Property Solutions, a leader in AI-driven innovation.
- Benefits: Generous holiday allowance, health benefits, wellbeing programs, and learning resources.
- Other info: Flexible work environment with excellent career growth opportunities.
- Why this job: Shape the future of AI while making a real impact on global projects.
- Qualifications: Experience in Python, AWS, and a passion for AI technology.
The predicted salary is between 50000 - 70000 £ per year.
Are you passionate about shaping the future of AI-driven IP tools in a collaborative, flexible environment? Want to join a dynamic team building cutting-edge AI solutions and analytics on impactful, global projects?
About our Team: At LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Each and every day, the work our team does supports the development of new technologies and processes that ultimately advance humanity. Helping our customers reach their goals is our primary focus. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations and ultimately achieve superior results. Our overall success is measured by how well we deliver these results. We are proud to directly support and serve these innovators in their endeavors to better humankind.
The AI Platform team is responsible for the features that power the AI capabilities of LexisNexis IP's flagship IP analytics products. We research new AI technology and apply it in our products, resulting in intelligent features that benefit our users, as well as reusable tools for our internal platform. This is an opportunity to join a team that works on a modern, cloud native infrastructure and become an essential part of building LexisNexis IP's AI future.
About the Role: Our IP analytics offerings enable core IP activities such as competitive intelligence, benchmarking, portfolio optimisation and more, by bringing together highly curated and enriched datasets, cutting-edge analysis tools with streamlined workflows and powerful visualisation capabilities, all within a single platform.
Responsibilities:
- Researching the applicability of cutting-edge AI technology in our features.
- We expect this team to work across multiple technologies around a core including: Python, AWS (EKS, S3, RDS, Terraform, etc.), AI/ML/Data Science libraries (Google ADK, pandas, faiss, etc.)
- Developing reusable AI evaluation frameworks.
- Delivering AI powered features.
- Helping to build AWS platform infrastructure with Terraform, such as Kubernetes services and RDS databases.
- Participating in development processes, and code reviews.
- Operating in a Scrum based development environment while collaborating with stakeholders.
- Proactively seeking to learn about best coding practices in Python.
- Ability to write code and tests in Python.
- Knowledge of AWS or similar cloud providers.
- Understanding software engineering techniques and processes.
- Experience with GenAI and agentic systems.
- Strong interpersonal, communication, and presentation skills applicable to a wide audience.
- Experience with Python, Azure Pipelines, AWS CDK is desirable, but not essential.
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 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
AI Engineer employer: LexisNexis
At LexisNexis Intellectual Property Solutions, we pride ourselves on being an exceptional employer that fosters a collaborative and flexible work environment, perfect for AI Engineers eager to shape the future of innovation. Our commitment to employee wellbeing is reflected in our generous benefits package, including health screening, extensive learning opportunities, and a strong focus on work/life balance, ensuring that you can thrive both personally and professionally while contributing to impactful global projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at LexisNexis or join relevant online communities. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those interviews by brushing up on your AI knowledge and coding skills. We recommend practising common interview questions and doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your passion for AI! During interviews, share your personal projects or experiences that highlight your skills. We love seeing candidates who are genuinely excited about the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our team at LexisNexis.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it can shape the future. Share any projects or experiences that highlight your passion and knowledge in this area.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our mission at LexisNexis IP.
Highlight Collaborative Experiences:Since we value teamwork, include examples of how you've successfully collaborated with others in previous roles. This will show us that you can thrive in our dynamic environment.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This helps us keep track of your application and ensures it reaches the right team quickly!
How to prepare for a job interview at LexisNexis
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and tools relevant to the role. Familiarise yourself with Python, AWS, and any specific libraries mentioned in the job description. Being able to discuss how you've applied these technologies in past projects will definitely impress.
✨Show Your Collaborative Spirit
Since the role involves working in a Scrum-based environment, be ready to talk about your experience in team settings. Share examples of how you've collaborated with others, tackled challenges together, and contributed to successful outcomes. This shows you're a team player, which is key for this position.
✨Prepare for Technical Questions
Expect some technical questions or coding challenges during the interview. Practice coding in Python and be prepared to explain your thought process. You might also want to review best coding practices and be ready to discuss them, as this shows your commitment to quality work.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the technologies they’re excited about, or how they measure success. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
