Software Engineering Lead

RELX INC; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading technology company in London seeks a Software Engineering Lead to modernize and enhance its flagship AI product. You will manage a skilled agile team, work closely with stakeholders across multiple countries, and be responsible for implementing cloud-native solutions. Ideal candidates have strong experience with software engineering techniques and cloud providers. Join us for flexible hours and a range of benefits including generous holidays and medical insurance.

Benefits

Generous holiday allowance

Health screening

Wellbeing programs

Life assurance

Pension scheme

Employee discounts

Qualifications

• Experience in leading software engineering efforts for AI-enabled SaaS products is desirable, but not essential.
• Strong interpersonal, communication, and presentation skills applicable to a wide audience.
• Understand Software Engineering techniques and processes, particularly adapting Scrum and agile frameworks to meet business needs.

Responsibilities

• Owning and executing the backlog of product modernisation.
• Leading the delivery and deployment of data science research into scalable AI-powered features.
• Writing and reviewing detailed specifications for the development of complex system components.

Skills

Software Engineering techniques

AWS

Python

C#

Angular

Interpersonal skills

Tools

PyTorch

Scikit-learn

Go

Databricks

JavaScript

Azure Pipelines

Job description

Overview

Software Engineering Lead

Are you ready for the next step in your engineering career? Would you enjoy working on our cutting-edge products?

About Our Team: We are strengthening our software engineering team to modernise our existing application stack, powering one of LexisNexis Intellectual Property’s flagship AI products, LexisNexis® Classification. The team modernises the application with new features and functions to enrich the users' experience, as well as implementing research from our in-house data science team at scale. This is an opportunity to be a key part of a team that works on modern, cloud native infrastructure and become an essential part of building the new product architecture. The team will work across multiple technologies including Angular, Python, C#/.Net, SQL, AWS (EKS, S3, Lambda, CDK, etc.), Applied AI/ML libraries and frameworks.

About The Role: We are hiring a Software Engineering Lead to take responsibility for the work on modernising and enhancing a key product, LexisNexis® Classification. This product uses AI to read millions of patents globally and pull the relevant patents into custom categories that are relevant to the specific technology areas users define. You will be the go-to person for a small, highly skilled agile team, with ownership over the mission and your development practices and processes. Your engineering team will be based in London. You will also work closely with the existing application team in South Africa, as well as with a broader range of stakeholders distributed across the UK, Germany, the Netherlands and the USA.

As a Software Engineering Lead, you will play a crucial role in overseeing software development for a modernised LexisNexis® Classification. You will contribute directly to solving technical problems as well as guiding your team to success.

Responsibilities

• Owning and executing the backlog of product modernisation.
• Leading the delivery and deployment of data science research into scalable AI-powered features.
• Creating performance- and cost-optimised services.
• Able to communicate and take ownership within the team and across team boundaries.
• Writing and reviewing detailed specifications for the development of complex system components.
• Leading in development processes, coding best practices, and code reviews.
• Managing a team of software engineers in a Scrum-based development environment while collaborating with stakeholders.

Qualifications

• Understand Software Engineering techniques and processes, particularly adapting Scrum and agile frameworks to meet business needs.
• Experience with AWS or similar cloud providers, including knowledge of running cost-effective serverless architecture.
• Experience working with Python, C#, and Angular.
• Strong interpersonal, communication, and presentation skills applicable to a wide audience.
• Experience with PyTorch, Scikit-learn, Go, Databricks, JavaScript, and Azure Pipelines is desirable, but not essential.
• Experience in leading software engineering efforts for AI-enabled SaaS products is desirable, but not essential.

Why Join Us?

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

Work in a way that works for you: We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people, with wellbeing initiatives, shared parental leave, study assistance and sabbaticals to help you meet immediate responsibilities and long-term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are most productive.

Benefits and Other Information

We know that your well-being 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
• RECARES days and access to employee resource groups
• Access to extensive learning and development resources
• Perks at Work employee discounts

About Our Business

At LexisNexis Intellectual Property (LNIP), we believe that working on patents and understanding technology can change how society operates. We enable innovators to accomplish more by leveraging machine learning and expert analysis to deliver actionable insights from patent data.

We are committed to a fair and accessible hiring process. If you need accommodation, please let us know by contacting the provided support options.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers: EEO Know Your Rights.