Software Engineer - Data & AI in Woking

Software Engineer - Data & AI in Woking

Woking Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and build AI-enabled software with a focus on user-friendly interfaces.
  • Company: Join McLaren Automotive, a leader in performance road cars and innovation.
  • Benefits: Enjoy 25 days holiday, private medical insurance, and a structured career development framework.
  • Other info: Flexible work environment with opportunities for growth and diverse team culture.
  • Why this job: Make an impact by working on cutting-edge AI projects in a dynamic team.
  • Qualifications: Experience in Python, JavaScript, and web development; passion for AI and data.

The predicted salary is between 63000 - 77000 £ per year.

Working within the Data & AI capability team, this role designs, builds, and operates full-stack, AI-enabled software, with a strong frontend focus. You build the user-facing products and interfaces that make McLaren's data and AI usable: chat experiences, engineering assistants, dashboards, and internal digital products, backed by the AI platforms. You will work in a product-oriented delivery model, embedded in or allocated to a business-aligned product team (Product Development, Manufacturing, or Commercial), drawing on shared capabilities from the unified platform team. You sit at a valuable intersection where you build both the polished front-end users interact with and the AI integration layer behind it (streaming LLM responses, RAG, agents), deploying on the cloud infrastructure that runs them.

What You'll Do

  • Design, build, and maintain responsive, accessible, high-performance web applications and AI-enabled interfaces, including chat UIs, streaming responses, dashboards, and interactive tools.
  • Build AI-enabled UX that is transparent and trustworthy: token-by-token streaming, source citations, confidence indicators, human-in-the-loop review and correction, safety warnings, and graceful error/fallback states.
  • Integrate frontends with the McLaren AI platforms, handle streaming, token limits, rate limits, and retries.
  • Build and maintain backend services and APIs that support AI-powered features and connect to data products and source systems.
  • Deliver data and AI products through the lifecycle, from POC and proof of integration (POI) to MVP and production, connecting cleanly to source systems and downstream consumers at every integration boundary.
  • Own the infrastructure your services run on: infrastructure-as-code, CI/CD, containerisation, and observability and deployment.
  • Contribute to AI evaluation and quality: build and run automated evals and regression tests and use observability tooling to track latency, token usage, and failure modes.
  • Apply governance and security as code: ownership, access controls, lineage, quality checks, auth, least privilege, and encryption, scaled by product maturity.
  • Champion McLaren-controlled infrastructure and data residency by default and drive adoption of AI tools.
  • Plan and deliver work in agile sprints, balancing exploratory R&D with production-grade delivery. Give honest estimates and flag scope risk early.

What You'll Bring

  • Python (FastAPI), Node.js, REST APIs.
  • SQL and PostgreSQL.
  • Redis/Valkey for session and WebSocket coordination at scale.
  • Strong JavaScript/TypeScript, HTML5, CSS.
  • React (or equivalent), component architecture, state management.
  • Responsive design, web performance (Core Web Vitals: LCP/INP/CLS).
  • Git-based workflows and CI/CD.
  • PHP, MS SQL Server, Matlab, for transitional support and migration only.
  • Rust for performance-critical components.
  • Fine-tuning (LoRA/PEFT), multimodal models.
  • Familiarity with the AWS GenAI-on-EKS pattern (LiteLLM + vector DB + Langfuse via Terraform/Helm).
  • Data visualisation; design-tool literacy (Figma).

What We'll Do for You

  • We offer a wide-ranging benefits package, which includes:
  • Structured career development framework.
  • 25 days’ holiday, plus bank holiday.
  • Annual buy & sell up to five days.
  • Enhanced company pension scheme.
  • Discretionary annual bonus award.
  • Private medical insurance and health cash plan.
  • Life assurance benefit.
  • Ability to apply for a sabbatical of up to one year after only two years’ service.
  • Benefits you can adapt to your lifestyle, such as discounted shopping.
  • Generous parental leave policies.
  • A range of wellbeing initiatives, such as employee assistance programme and free financial & mortgage advice.

Who Are We?

No restraints. No limitations. We don’t simply push boundaries. We completely rethink them. McLaren Automotive exists to create breath-taking performance road cars. It takes a community to do what we do. A diverse group of people with many areas of expertise, united by their passion to deliver visionary products and set new benchmarks. McLaren Automotive commits to equal opportunity for all. Diversity, Equality and Inclusion is at the heart of our impact, it drives our innovation and enables us to truly create something special. Join us on our journey.

Software Engineer - Data & AI in Woking employer: McLaren Group

McLaren Automotive is an exceptional employer, offering a dynamic and fast-paced work environment in Woking, where innovation meets collaboration. With a strong focus on employee growth, we provide structured career development, generous benefits including enhanced pension schemes and flexible lifestyle options, and a commitment to diversity and inclusion that fosters a supportive culture. Join our high-performing team and be part of a community dedicated to pushing the boundaries of automotive excellence.

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Contact Details:

McLaren Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer - Data & AI in Woking

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Software Engineer - Data & AI in Woking

Python (FastAPI)
Node.js
REST APIs
SQL
PostgreSQL
Redis/Valkey
JavaScript

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 McLaren Group.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at McLaren Group 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 McLaren Group

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 McLaren Group 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.