Senior AI Engineer in London

Senior AI Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Local Pensions Partnership

At a Glance

  • Tasks: Lead the development of innovative AI solutions in a dynamic investment management environment.
  • Company: Join LPPI, a forward-thinking investment business with a diverse and inclusive culture.
  • Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative team environment with excellent career advancement opportunities.
  • Why this job: Make a real impact by delivering cutting-edge AI solutions that drive business success.
  • Qualifications: Experience in AI engineering and familiarity with Azure Cloud services required.

The predicted salary is between 60000 - 80000 £ per year.

One of the key priorities at LPPI is ensuring that our people work every day in an empowered, supportive, diverse and inclusive culture. Practically, this means recognising and valuing the uniqueness of every individual in terms of background, experience, beliefs and circumstances. This starts with the recruitment process, where we partner with agencies who share our common goal and advertise on a variety of job boards to access the broadest spectrum of candidates. Once successful applicants are on board, we trust our people to work in the way that works best for them, which typically involves a mix of office and home working plus an engagement model to ensure frequent two-way feedback.

LPPI is an in-house investment business authorised and regulated by the Financial Conduct Authority. LPPI operates in the pension fund sector, managing the assets of several public sector pension schemes. LPPI has a portfolio of applications and data solutions that are hosted on Microsoft Azure and Power Platform services, such as Azure SQL Database, Synapse Workspace Analytics, Python notebooks, Power BI Reports, Power Apps, Power Automate flows, Kubernetes, Rest APIs and App Services.

LPPI requires an experienced Senior AI Engineer who can deliver and support a pipeline of technical solutions approved by the Business Change Office, where each solution is aligned with established business needs and objectives. Responsibilities include delivery of end-to-end Business IT changes, from translating Business Analysis to technical requirements, architecture, development, testing, deployment and supporting of production services.

Key Responsibilities

  • Provide technical analysis on new Change Briefs that come into the Business Change Office to understand the nature of the change, impact on current processes, data, operating model, and assessing against future-state TOM and LPPI’s design principles.
  • For approved changes, elicit requirements from SMEs and business stakeholders to produce clear and accurate Technical Documents (HLD & LLD), incorporating both functional and non-functional needs.
  • Deliver high-quality application and reporting solutions, ensuring application and data quality, security, and compliance is adhered to LPPI standard policies.
  • Deliver robust, scalable, and high-performance technical solutions using modern technologies.
  • Coordinate and communicate with internal stakeholders, including business analysts, project managers, external suppliers, as well as the end-users across the development lifecycle, to ensure that the project objectives, scope, schedule, budget, and quality are met.
  • Conduct quality assurance to ensure developed solutions meet the functional and non-functional requirements as well as ensure adherence to best practices, coding standards, and quality guidelines.
  • Prepare and maintain IT project documentation, code versioning, deployment and test artifacts.
  • Manage risks, issues, and changes that may arise during the project lifecycle and escalate them to the appropriate level when necessary.
  • Monitor and manage existing production services for high availability and resilience, with proactive measures to improve overall service performance and provide production fixes.
  • Follow ITIL principles to manage incidents, problems, and change requests.
  • Work closely with Head of Business IT and Business Change Office function to ensure the successful deployment and transition of the IT solutions to the production environment.
  • Provide expert guidance to IT peers across application and reporting technologies.
  • Present information regularly to Head of Business IT, and Chief Information & Technology Officer as well as other internal department heads, demonstrating effective written and oral communication skills.

Requirements for the role

  • A familiarity in Investment Management and/or Financial Services and working with business stakeholders in a cross-functional matrix environment.
  • Understanding of modern applications, data and reporting solutions using Azure Cloud services, market products including but not limited to development of App Services with responsive UX, Web APIs, Service Bus, Agentic AI integration and Power BI reports (dashboards, Paginated, DAX queries), and power platform solutions.
  • Development of applications solution using Entity Driven Development (EDD), Test Driven Development (TDD) with Mock objects, N-tier application layer, and REST APIs with data cache.
  • Integration of Agentic AI and its APIs within Application Services.
  • Azure DevOps to manage work items, code versioning, CI/CD pipelines, & deployment artifacts.
  • Creating Business Process Modelling Notation (BPMN) flows, using modelling tools such as MS Visio.
  • Excellent communication skills (written, verbal and presentation) and interpersonal.
  • Must be able to understand and apply new technologies to stay current with best practices and trends in application and reporting architecture for financial services.
  • Good analytical skills with the ability to present arguments to support and/or challenge a proposal.
  • Work both independently and within a team-oriented, collaborative environment.
  • Adept at conducting research into project-related issues and products.
  • A proactive, self-motivated team player who can manage multiple workloads with deadlines and continually strive for improvements in quality, efficiency and experience.
  • Ability to work across multiple complex technical initiatives/projects, whilst consistently operating to a high standard.
  • Technical understanding of the complexities of delivering change into an Investment Management organisation, specifically where application eco-system is decentralised.
  • Understanding of the Azure Cloud Services, including Pro-Code and Low-Code Application development, Agentic AI Integration, Rest APIs, API Management, application databases design (relational, non-relational and vector db) and reporting services is essential.

Reasonable adjustment will be made to working arrangements to accommodate a person with a disability who otherwise would be prevented from undertaking the work.

Senior AI Engineer in London employer: Local Pensions Partnership

At Local Pensions Partnership Administration (LPPA), we pride ourselves on being an exceptional employer, offering a collaborative and customer-focused work culture that empowers our employees to thrive. With competitive salaries, generous benefits including a robust pension scheme, and opportunities for professional growth, we ensure our team members feel valued and supported while making a meaningful impact in the pensions sector. Our hybrid working model and commitment to employee wellbeing further enhance the experience of working in our vibrant Preston office, making LPPA a fantastic place to build your career.

Local Pensions Partnership

Contact Details:

Local Pensions Partnership Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer in London

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We think you need these skills to ace Senior AI Engineer in London

Technical Analysis
Business Analysis
Technical Documentation (HLD & LLD)
Application Development
Data Quality Assurance
Azure Cloud Services
Power BI

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Local Pensions Partnership.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Local Pensions Partnership and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Local Pensions Partnership

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Local Pensions Partnership uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.