At a Glance
- Tasks: Lead engineering teams to deliver innovative AI solutions while fostering growth and collaboration.
- Company: Join a global leader in information and analytics with a focus on innovation.
- Benefits: Enjoy flexible working, generous holiday allowance, and extensive wellbeing programs.
- Other info: Dynamic hybrid work environment with excellent career development opportunities.
- Why this job: Make a real impact in AI while supporting a diverse and inclusive team culture.
- Qualifications: Experience in software engineering and team leadership, with strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
How have you helped a team deliver complex technical work while balancing quality, speed, and reliability? How do you support engineers in their growth and create an inclusive, collaborative team culture?
Location: Hybrid role, UK or Amsterdam based
About the Team
The AI Platform team builds shared AI capabilities used across multiple products. Our goal is to help teams safely and effectively integrate generative AI without needing to build core systems from scratch. We create reusable services, tools, and platform solutions that support scalability, security, and reliability, while enabling teams to move efficiently.
About the Role
We are looking for a Software Engineering Manager to support engineering teams within the AI Platform. You will help guide delivery, support team growth, and ensure alignment across a complex and evolving environment. This role combines people leadership, delivery coordination, and technical oversight. While not focused on day-to-day coding, you will bring technical judgment, contribute to design discussions, and offer support when needed.
Key Responsibilities:
- Team Leadership & Delivery
- Support one or more engineering teams with clear goals and priorities
- Partner with technical leaders to deliver reliable and high-quality outcomes
- Monitor progress and help address risks, blockers, and dependencies
- Planning & Alignment
- Collaborate with product, engineering, and stakeholders to set priorities
- Balance immediate delivery needs with long-term sustainability
- Encourage alignment across teams and shared platform goals
- Technical Oversight & Strategy
- Partner with Technical Leads and senior stakeholders to shape engineering strategy and platform direction
- Support strong technical standards through design and code reviews
- Help teams balance speed, quality, reliability and delivery
- Provide hands-on support during critical periods when needed
- Operational Excellence
- Promote practices in testing, delivery pipelines, and system reliability
- Track and improve key indicators such as delivery, stability, and maintainability
- Drive continuous improvements in engineering processes, developer experience, and platform reliability.
- Communication & Collaboration
- Encourage open and clear communication across the wider team
- Share progress, challenges, and trade-offs transparently
- Participate in planning, roadmap discussions, and cross-team coordination
- Influence decisions beyond the immediate team through collaboration and engineering leadership.
- People Management & Development
- Support inclusive hiring and onboarding practices
- Support career development - Provide coaching, feedback, and growth opportunities
- Foster a collaborative, respectful, and supportive team environment focused on continuous improvement
- Partner with technical leaders to maintain strong engineering practices
Skills & Experience:
- Deep experience in software engineering and team leadership or mentorship within engineering
- Ability to manage and work in evolving technical environments and manage priorities
- Knowledge of backend systems, distributed architectures, or cloud platforms
- Experience collaborating across teams and with technical stakeholders
- Ability to review code and provide constructive feedback (Python is a plus)
- Strong communication and organisational skills
Nice to Have
- Experience with AI/LLM tools or modern backend frameworks (e.g., LangChain, LangGraph) and backend service frameworks (e.g., FastAPI)
- Familiarity with cloud-native technologies (e.g., Kubernetes)
- Experience supporting platforms used by multiple, downstream consumer teams
- Experience managing teams working on internal developer tools or shared platforms
If you are interested in the role, please apply with a cover letter and CV.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that 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 with us
We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.
Working for you
At Elsevier, 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
- Long service awards
- Save As You Earn share option scheme
- Travel Season ticket loan
- Maternity, paternity and shared parental leave
- Access to emergency care for both the elderly and children
- RE CARES 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 via Perks at Work
About Us
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy. 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.
Software Engineering Manager, AI Platform in London employer: RELX
At Elsevier, we pride ourselves on being an exceptional employer, offering a hybrid work environment that promotes a healthy work/life balance and fosters a culture of inclusivity and collaboration. With generous benefits such as extensive learning resources, wellbeing programs, and flexible working hours, we empower our employees to grow both personally and professionally while contributing to meaningful advancements in science and healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineering Manager, AI Platform in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online communities. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to team leadership and technical oversight. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your leadership style! During interviews, share specific examples of how you've supported team growth and fostered an inclusive culture. This will help you stand out as a candidate who aligns with our values.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team.
We think you need these skills to ace Software Engineering Manager, AI Platform in London
Some tips for your application 🫡
Tailor Your Cover Letter:Make sure to customise your cover letter for the Software Engineering Manager role. Highlight your experience in leading teams and delivering complex technical projects, as well as how you foster an inclusive team culture.
Showcase Your Technical Skills:In your CV, emphasise your deep experience in software engineering and any relevant technologies like Python or cloud platforms. We want to see how your technical judgement can contribute to our AI Platform.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your achievements and how they relate to the key responsibilities of the role. We appreciate clarity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at RELX
✨Understand the Role
Before the interview, make sure you thoroughly understand the responsibilities of a Software Engineering Manager in the AI Platform team. Familiarise yourself with how to balance quality, speed, and reliability in technical work, as well as how to support engineers in their growth.
✨Prepare Real-Life Examples
Think of specific instances where you've helped teams deliver complex projects. Be ready to discuss how you managed risks, addressed blockers, and ensured alignment across teams. This will showcase your experience and ability to lead effectively.
✨Showcase Your Technical Knowledge
While you won't be coding daily, it's crucial to demonstrate your technical judgment. Brush up on backend systems, distributed architectures, and cloud platforms. Be prepared to discuss design decisions and provide constructive feedback on code, especially if you have experience with Python.
✨Emphasise Team Culture and Collaboration
Highlight your approach to fostering an inclusive and collaborative team environment. Discuss your strategies for supporting career development and promoting open communication. This will show that you value not just delivery, but also the growth and wellbeing of your team.
