AI CoE SME - Enablement chez Unilever

Job Title: AI CoE SME - Enablement

Location: Kingston

 
JOB PURPOSE 

This role sits within the Data Science & AI Centre of Excellence and contributes to building Unilever’s AI capabilities. It focuses on applying data and AI best practices in digital programmes and sharing practical know-how. You’ll work alongside Data Foundation teams and the wider Global Data & Technology (GDT) community to help design, deliver, and improve AI solutions that are effective, scalable, and aligned with Unilever’s Responsible AI principles. The role also supports research into emerging AI trends, develops reusable assets, and helps grow a culture of responsible innovation through education, enablement, and hands-on support.

RESPONSIBILITIES 

• Partner with H3L+XOps and programme teams to incorporate AI best practices into digital products and services.

• Provide hands-on support for AI model development, deployment, monitoring, and governance in collaboration with engineering and data teams.

• Contribute reusable code modules, templates, and frameworks that accelerate AI adoption.

• Help build and maintain shared libraries of AI assets, including curated datasets and evaluation benchmarks.

• Promote Responsible AI by researching and building content for data-ethics guidance and regulatory standards.

• Track and experiment with current AI research, tools, and methods (e.g., foundation models, multimodal AI, synthetic data) and share learnings with peers.

• Draft concise technical notes, how-to guides, and upskilling materials to support capability building.

• Co-organise and participate in knowledge-sharing sessions, workshops, and community-of-practice activities.

ALL ABOUT YOU

• Curiosity

• Data Science/AI background (preferably a Bsc in the field)

• Proven coding experience in Python (ideally also with libraries like LangChain, TensorFlow, PyTorch), more languages like R, SQL, Scala etc is a plus

• Prompt engineering experience

• Understanding basic AI Governance concepts like privacy, bias, auditability, human-in-the-loop controls

• Basic understanding of MLOps

• Ability to communicate technical content to non-technical stakeholders

• Ability to independently research topics

• Collaborates well with others

Location 

In September 2020, Unilever announced the intention to build a new sustainable campus site in Kingston, London to house the employees who currently work in 100 Victoria Embankment in Blackfriars, Lever House in Kingston, Unilever House in Leatherhead and Graze in Richmond. We are creating our own Unilever sustainable, agile work environment, purposefully bringing us together in our own Unilever ecosystem. The campus is due to be completed in early 2025 and will consist of two interconnected buildings, as well as landscaped surrounding areas.

What We Offer

Not only do we offer a competitive salary and pension scheme, we also offer an annual bonus, free gym, a discounted staff shop and shares. You’ll have the opportunity to work directly with our renowned and exciting brands in a flexible and hybrid working environment.

Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We are a key advocate of wellbeing and offer a variety of support for our people including hubs, programmes and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all.

Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more, click here: Equity, Diversity & Inclusion

Recruitment Fraud

Cyber criminals advertise fake job adverts with prestigious employers as a way of stealing information or even defrauding individuals out of money. In the most sophisticated cases, they will set up fake websites, which have a similar address to companies like Unilever. They even conduct fake telephone interviews and then offer candidates a role with the proviso they pay a fee for background checks or to cover work visa costs.  These types of attacks are becoming more common as more people are looking for employment in the economic climate.

How is Unilever tackling this?

Many of Unilever’s recruitment sites publish a warning to candidates about recruitment fraud. The Cyber Security team also proactively scan for signs of people setting up fake Unilever sites and act to close them down.

What can I do?

If you become aware of potential recruitment fraud, spot fake Unilever recruitment adverts or fake LinkedIn profiles, report them via Una Live Chat.

Unilever does not accept responsibility or liability for any candidates who are financially impacted by recruitment fraud. Your vigilance is key!