Software Engineering Lead- (AI product)

RELX; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading technology company in Greater London is seeking a Software Engineering Lead to modernise their flagship AI product. You will lead a skilled team and play a vital role in enhancing user experience through AI-driven solutions. The ideal candidate has strong expertise in software engineering, agile methodologies, and cloud technologies. A collaborative environment with flexible working hours and generous benefits awaits the successful applicant.

Benefits

Generous holiday allowance

Health screening and private medical benefits

Wellbeing programs

Life assurance

Contributory pension scheme

Employee Assistance Programme

Access to learning resources

Qualifications

• Experience with leading software engineering for AI-enabled SaaS products is desirable.
• Ability to communicate and take ownership within teams.
• Experience in agile frameworks and Scrum methodologies.

Responsibilities

• Owning and executing the backlog of product modernisation.
• Leading the delivery of data science research into scalable AI-powered features.
• Creating performance- and cost-optimised services.
• Managing a team of software engineers in a Scrum-based development environment.

Skills

Software Engineering techniques

AWS (or similar cloud providers)

Python

C#

Angular

Interpersonal skills

Communication skills

Presentation skills

Tools

AWS

PyTorch

Scikit-learn

JavaScript

Azure Pipelines

Job description

Software Engineering Lead - (AI product)

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.

We expect this team to work across multiple technologies, centred around a core, including Angular, Python, C#, .NET, SQL, AWS (EKS, S3, Lambda, CDK, etc.), and 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 utilises AI to scan millions of patents worldwide and categorise the relevant patents into custom categories that align with 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.

Key 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.

Requirements:

• 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 numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your 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 the most productive.

Working for you

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.

• 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 the employee discounts scheme via Perks at Work.

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.

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