Joining Arup

Arup’s purpose, shared values and collaborative approach have set us apart for 80 years, guiding how we shape a better world

The Opportunity

• 
  This opportunity offers both consulting advice and practical technical development to help shape a better world across various built environment fields.
• You will work closely with product, engineering, and domain stakeholders to deliver models and AI-powered features that are accurate, reliable, scalable, and measurable.
• You’ll contribute across the AI lifecycle—from problem framing and data preparation to model training, evaluation, deployment, monitoring, and iteration.

Responsibilities:

• Design, implement, and deliver AI solutions aligned to business goals (e.g., prediction, classification, LLM, computer vision, agent based modelling).
• Develop end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation, packaging, and deployment.
• Research & Advisory: Modern AI model research, proof of concept towards advisory works.
• Build and deploy production-grade services (REST/gRPC) for inference using scalable patterns (batch, online, streaming).
• Optimize model performance: accuracy, latency, throughput, and cost (including profiling and hardware-aware optimization when relevant).
• Collaborate cross-functionally with software engineers, product managers, and analysts to integrate AI into products and workflows.
• Maintain engineering best practices: version control, reproducibility, testing, documentation, and CI/CD for ML.
• Communicate results clearly to technical and non-technical audiences; provide tradeoffs and recommendations.
  

• Solid understanding of ML fundamentals: supervised/unsupervised learning, evaluation metrics, overfitting, regularization, feature engineering, and experiment design.
• Proven track records in deploying models into production (e.g., FastAPI/Flask, Docker, Kubernetes, serverless, or managed ML platforms).
• Experience with data manipulation and analysis using SQL and/or big data tools (e.g., Spark, Databricks, BigQuery).
• Proficiency in agentic workflow (e.g., LangChain), multi-agent framework (e.g., AutoGen) and MCP tooling.
• Proven track record with neural networks, NLP, Computer Vision, and Agentic AI projects.
• Familiarity with cloud AI services (Azure ML, AWS SageMaker, GCP Vertex AI) and infrastructure-as-code.
• Knowledge of MLOps concepts: model registry, experiment tracking, reproducible training, automated retraining, and monitoring.

Qualifications and Technical Skills:

• Minimum 10 years of IT experience and 5-7 years of hands-on experience as an AI engineer.
• Bachelor or above in data science, statistics, maths, computer science, or engineering
• AWS Certified Machine Learning Specialty (Preferable not mandatory)
• AWS Certified Machine Learning Engineer – Associate (Preferable not mandatory)
• or anything equivalent from Azure, Google or Databricks
• Programming languages: Python, .NET, C++/C#, SQL and Cypher. JavaScript/TypeScript will be a advantageous.

Not ready to apply just yet, or have a few questions? Contact Kyiie Chau *(kylie.chau@arup.com)

What we offer you

At Arup, we care about each member’s success, so we can grow together.

Guided by our values, we provide an attractive total reward package that recognises the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive – through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do.

We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup’s legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling members to share in the results of our collective efforts.

Different people, shared values

Arup is an equal opportunity employer that actively promotes and nurtures a diverse and inclusive workforce. We welcome applications from individuals of all backgrounds, regardless of age (within legal limits), gender identity or expression, marital status, disability, neurotype or mental health, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. We are an open environment that embraces diverse experiences, perspectives, and ideas – this drives our excellence.

Guided by our values and alignment with the UN Sustainable Development Goals, we create and contribute to equitable spaces and systems, while cultivating a sense of belonging for all. Our internal employee networks support our inclusive culture: from race, ethnicity and cross-cultural working to gender equity and LGBTQ+ and disability inclusion – we aim to create a space for you to express yourself and make a positive difference. Discover more about life at Arup at www.arup.com/careers/your-life-at-arup.

We are committed to making our recruitment process and workplaces accessible to all candidates. Please contact Kylie Chau to let us know if you need any assistance or reasonable adjustments throughout your application or interview process, and/or to perform the essential functions of the role. We will do everything we can to support you.

Our Application Process

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