At a Glance
- Tasks: Join a dynamic team to develop cutting-edge AI solutions and analytics.
- Company: LexisNexis, a leader in legal and business information.
- Benefits: Generous holiday allowance, health benefits, and wellbeing programs.
- 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 60000 - 80000 £ 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.
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.
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 Platform Engineer - Cloud-Native ML & GenAI Solutions employer: LexisNexis
At LexisNexis Intellectual Property Solutions, we pride ourselves on fostering a collaborative and flexible work environment that empowers our employees to innovate and excel. With a strong focus on employee wellbeing, we offer generous benefits including health screening, extensive learning resources, and a supportive culture that encourages personal and professional growth. Join us in shaping the future of AI-driven solutions while making a meaningful impact on the innovation community.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer - Cloud-Native ML & GenAI Solutions
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those at LexisNexis. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions. This is your chance to demonstrate your expertise in Python and cloud technologies.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AWS and AI/ML tools. Be ready to discuss how you can contribute to LexisNexis's mission of advancing innovation.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Platform Engineer - Cloud-Native ML & GenAI Solutions
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and its potential shine through. We want to see how you can contribute to shaping the future of AI-driven tools, so share any relevant projects or experiences that highlight your passion.
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 love seeing candidates who take the time to align their background with what we’re looking for in an AI Platform Engineer.
Highlight Your Technical Skills:Don’t forget to showcase your technical expertise, especially in Python, AWS, and AI/ML technologies. We’re keen on candidates who can demonstrate their coding abilities and familiarity with cloud-native solutions, so be specific about your experience.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at LexisNexis
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and how they apply to the role. Familiarise yourself with tools like Python, AWS, and any relevant AI/ML libraries. Being able to discuss these confidently will show your passion and expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous projects. Think about specific challenges you faced while working with cloud-native solutions or AI features, and be ready to explain your thought process and the outcomes.
✨Get Comfortable with Collaboration
Since the role involves working in a Scrum-based environment, be prepared to discuss your experience with teamwork and collaboration. Share instances where you’ve successfully worked with stakeholders or participated in code reviews, highlighting your communication skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, the team dynamics, or how they measure success in delivering AI-powered features. This demonstrates your enthusiasm and engagement.
