AI Engineer (Advisory)

WSP in the UK & Ireland; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

WSP is seeking an AI Engineer to join its newly established AI Accelerator team in the UK. You will design and build prototype AI solutions in Azure, translating concepts into deployed systems for internal stakeholders and clients.

You will collaborate with cross-functional teams, work with Azure AI Foundry, LLMs, and NLP, and help scale prototypes into production in a hybrid work environment across the UK.

Qualifications

• Proven experience in designing and developing AI solutions, preferably within cloud environments such as Azure.
• Experience with Azure based AI technologies such as Azure AI Foundry.
• Experience working with LLMs and Agentic AI on real-world problems.
• Strong understanding of machine learning algorithms and natural language processing techniques.
• Strong inter‑personal skills and ability to collaborate with cross‑functional teams and translate business problems into technical solutions.
• Experience with deploying AI models into production environments.
• Excellent problem‑solving skills and a passion for innovation in AI technologies.

Responsibilities

• Collaborate with cross-functional teams to translate business problems into technical AI solutions.
• Design and develop AI prototypes, experiments, and models.
• Transition successful prototypes into full-scale deployments.
• Work within Azure cloud environments to deliver bespoke AI solutions to internal stakeholders.

Skills

AI Prototype Design

LLMs & Agentic AI

NLP & ML

Azure AI Foundry

Production deployment

Cross-functional collaboration

Tools

Azure

Job description

About the Role

Join WSP's newly established AI Accelerator team as an AI Engineer and be at the forefront of our global digital strategy. In this role, you will collaborate with experts across WSP UK and Ireland to design and build prototype AI solutions that address real-world challenges. Successful prototypes will be transitioned into full-scale deployments, transforming how WSP operates and enhancing the services we deliver to our clients. You will be part of the wider Data & Decision Science function within our Transformation and Digital Insights team, working in our Azure cloud environments to deliver impactful bespoke AI solutions to internal stakeholders.

You can expect to work closely with WSP’s consultancy teams to understand their business and identify opportunities to leverage AI for transformation. You will also have the opportunity to work with WSP’s clients across all of the market sectors we serve. You will be on the front lines of our digital transformation, rapidly turning ideas into realities and putting them into everyday use.

Responsibilities

Collaborate with cross-functional teams to translate business problems into technical AI solutions.

Design and develop AI prototypes, experiments, and models.

Transition successful prototypes into full-scale deployments.

Work within Azure cloud environments to deliver bespoke AI solutions to internal stakeholders.

Qualifications

• Proven experience in designing and developing AI solutions, preferably within cloud environments such as Azure.
• Experience with Azure based AI technologies such as Azure AI Foundry.
• Experience working with LLMs and Agentic AI on real-world problems.
• Strong understanding of machine learning algorithms and natural language processing techniques.
• Strong inter‑personal skills and ability to collaborate with cross‑functional teams and translate business problems into technical solutions.
• Experience with deploying AI models into production environments.
• Excellent problem‑solving skills and a passion for innovation in AI technologies.

Eligibility

Here at WSP we positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy or maternity/paternity.

What’s In It For You?

Work‑life balance: Our hybrid working policy offers the flexibility to work from home two days a week, while also providing opportunities to collaborate in modern offices across the UK.

Inclusivity & Belonging: We welcome applicants with varied backgrounds and experiences, encouraging people to bring their whole and authentic selves to work.

Health & Wellbeing: We support our people with programmes such as the Thrive programme, a Virtual GP service, reasonable workplace adjustments, the Gymflex scheme, and a comprehensive menopause support package.

Flex your time: The “WSP My Hour” allows you to take one hour each day for personal activities with flexible time‑make‑up options.

Development: We invest in your training, mentoring, and chartership opportunities.

As a Disability Confident leader, we will interview all disabled applicants who meet the essential criteria. Please let us know if you require any workplace adjustments in support of your application.