Senior AI/ML Technology Advisor

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Please note that this role will close at 00:01 on Sunday 21 December and therefore we advise getting your application in by no later than midnight on Saturday 20 December.

About Ofcom
 

As the UK’s communications regulator, we’re delivering vital work that helps keep the UK connected and shapes the future of how we’ll stay connected with each other.
 

Our work covers everything from phones and broadband, through to TV, radio, the postal service, and wireless devices. We’re also taking on the challenge of making the online world a safer place. And we need people of all backgrounds, skill sets, and experiences to help us achieve our goal of making communications work for everyone.

About the team you’ll be part of
 

The Online Safety Technology team conducts research to build knowledge and understanding in subject areas fundamental to online safety. This includes, for example, AI and machine learning, digital identity, privacy enhancing technologies, decentralisation, user experience, gaming, network infrastructure, and digital forensics. The team provides technical expertise to policy, supervision and enforcement colleagues in the wider Online Safety Group, and others in Ofcom, during policy development processes and industry engagement activities.

The purpose and scope of the role
 

We are looking for a technically strong and strategically minded AI/ML Senior Technology Advisor to provide expert guidance on the technical aspects of artificial intelligence and machine learning as they relate to online safety.
 

The successful candidate will play a leading role within the Online Safety Technology team to help design and deliver a programme of work that will develop and share fundamental understanding of the Artificial Intelligence and Machine Learning technologies that underpin online services to help meet Ofcom's Online Safety objectives. This position is ideal for candidates with deep technical expertise and a passion for applying AI responsibly in complex socio-technical environments.
 

Your Key Responsibilities

Technical Advisory & Policy Support

• Provide expert guidance on AI/ML technologies to policy, supervision and enforcement teams.

• Advise on the technical feasibility and risks of proposed regulatory interventions.

• Translate complex AI concepts into actionable recommendations for senior leaders, policy experts, and external stakeholders.

AI/ML Research

• Independently lead AI/ML research projects—ranging from literature reviews of publishable standard to experimental studies — on new capabilities, system performance, safety, and effectiveness, often in collaboration with multidisciplinary internal teams (e.g., lawyers, economists, data scientists).

• Explore novel and emerging AI/ML techniques that may impact online safety, such as Generative AI, Agentic AI, or multimodal models.

• Design demos that illustrate advances in capabilities across AI models and convey the pace of progress in the field to help non-technical audiences understand how AI models function.

• Develop an evidence base to inform policy decisions and support regulatory innovation.

Evaluation of AI Systems

• Assess AI systems used in online services for accuracy, fairness, transparency, robustness, scalability, and societal impact.

• Evaluate models and tools to determine the technical feasibility and appropriateness for online trust and safety environments.

• Contribute to algorithmic audits and the development of standards for Responsible AI.

• Technical Communication & Engagement

• Prepare and present technical briefings, white papers, and demos to technical and non-technical audiences.

• Host internal knowledge-sharing sessions and represent Ofcom in external technical working groups and conferences.

• Collaborate with internal and external stakeholders to influence regulatory thinking and promote responsible AI practices.

Horizon Scanning

• Monitor the AI research and technology landscape to identify emerging trends and anticipate regulatory challenges.

• Contribute thought leadership to ongoing debates around AI ethics, transparency, and accountability in online services.

• Maintain strong relationships with academia, industry, and public bodies to strengthen external research partnerships.

The skills, knowledge and experience you’ll need for success

To be successful in this role, you will be able to demonstrate:

• Practical and theoretical expertise in one or more AI/ML areas such as Natural Language Processing, Computer Vision, Reinforcement Learning, Agentic AI, Multimodal Models, Generative AI, Responsible AI, and Algorithmic Auditing.

• Knowledge of assessment techniques to evaluate AI systems for effectiveness, scalability, fairness, safety, robustness, and societal impact.

• Familiarity with programming languages commonly used in AI/ML (e.g., Python) and familiarity with relevant frameworks and tools.

• Excellent verbal and written communication skills, with the ability to communicate complex technical concepts to non-technical audiences and produce relevant documentation.

• Experience working in a technical advisory role, with a focus on AI/ML or online safety is desirable.

• Articulating Ideas: The ability to translate complex technical concepts into clear, actionable insights for non-technical audiences, including internal and external stakeholders, consumers, and policy areas.

• Harmonising work: The ability to work across organisational boundaries in multi-disciplinary project teams of policy professionals, technologists, data specialists and lawyers to understand requirements and their mapping to technical specifications and delivering business outcomes.

• Forming relationships: Strong interpersonal skills and evidence of an ability to interact effectively with, and influence, a range of internal and external stakeholders.

• Scanning Horizons:  The ability to take a strategic view by identifying emerging trends, risks, and opportunities, and aligning decisions and actions with long-term goals to inform effective policy and delivery outcomes.

Qualifications
 

Educated to at least degree level (or equivalent) in a relevant engineering or science subject but candidates with evidence of equivalent demonstrable skills and experience in required specialist knowledge areas will also be considered.
 

Inclusivity Statement

Ofcom has a clear mission: to make communications work for everyone.  To be able to deliver on this, we want our organisation to reflect the diversity of background, experience, upbringing and thought that exists across the UK.  We aim to recruit from the widest pool of candidates possible – no matter your social background, age, ethnicity, sexual orientation, gender, or disability. We also warmly welcome applicants who are returning to the workforce after a break – for whatever reason. If you have taken time away and are ready to rejoin, we look forward to reviewing your application.

Where positions are listed as full-time, we remain open to reduced hours, part-time arrangements, job shares, and other flexible working options. From day one, we champion flexible work arrangements to accommodate individual needs. You can read more about our Rewards, Benefits and Well-being on our careers page.

Our recruitment processes prioritise accessibility and inclusivity. If you need adjustments, information in an alternative format, or prefer to apply in a different way, please contact us at [email protected] or call 0330 912 1378.

As a Disability Confident Leader, we offer interviews to disabled applicants who meet essential criteria for advertised roles. Learn more about this scheme here.  https://careers.ofcom.org.uk/careers/how-we-hire/