AI/Machine Learning, Principal

Job title:

AI/Machine Learning, Principal

Company

Ofcom

Job description

Closing Date: 13/09/2024Group: Online Safety GroupManagement Level: PrincipalJob Type: PermanentJob Description:Please note this role will close at 00.01 on 13th September so we advise making your application by midnight on the 12th September.About the TeamThe Technology Team works with colleagues across the organisation and with external stakeholders to continually develop the skills and understanding required to ensure Ofcom keeps pace with the rapid rate of change and innovation in online and trust and safety technologies.The team’s mission is to monitor, engage and shape development of technologies that provide trust and safety for citizens online; and structure standards/best practice to promote innovation and influence service design, benefitting both citizens and industry as outputs inform Ofcom’s regulatory approach. This includes developing capabilities in artificial intelligence (AI) as Ofcom prepares for and then takes on new duties as the UK’s regulator for Online Safety.Applicants should be aware that a key element of this role will be assessing and investigating content about audio-visual content relevant to work in the Online Safety Act. This may include potentially distressing content and material and/or themes.Ofcom is committed to safeguarding our colleagues who undertake this type of work. We endeavour to reduce exposure to distressing content, material, and/or themes wherever possible. Where this isn’t possible, we control the risk by ensuring that colleagues who are exposed to DCM are appropriately protected and supported. We offer a range of tailored support options, psychological screening assessments and access to specialist therapeutic support where required.Purpose of the RoleThe successful candidate will play a crucial role in understanding and analysing the algorithms behind search, recommender systems, age assurance technologies, and automated content classification. This role involves conducting in-depth research into these algorithms, thoroughly assessing their implementation, and identifying their strengths and weaknesses. You will provide expert advice on policy development, ensure compliance with regulatory standards, and support enforcement teams. Additionally, you will lead, manage, and mentor a team of AI/ML specialists, fostering a collaborative and innovative environment. Your contributions will significantly enhance the regulation of online services and improve user safety.Your key responsibilitiesKnowledge Gathering, Sharing, and Technical Distillation Activities:

• Horizon Scanning: Conduct comprehensive research and prepare detailed briefings on the latest advancements in AI and ML, particularly in computer vision, NLP, and multimodal AI. Focus on the application of these technologies to various domains, ensuring the team is up-to-date with the cutting-edge developments and their potential impact.
• Technical Communication: Develop and deliver technical notes, presentations, and seminars for both technical and non-technical audiences. These materials should cover advanced AI/ML concepts, their practical applications, and the ethical considerations involved. Emphasize algorithmic transparency, fairness, and the societal impact of AI systems.
• Team Building and Knowledge Sharing: Foster a collaborative environment where team members feel empowered to share their ideas. Organize regular knowledge-sharing sessions and technical workshops to enhance team skills and keep everyone aligned with the latest industry trends.

Expertise and Consultancy for Advanced AI/ML Systems Evaluation:

• Performance Metrics Development: Utilise deep expertise to assist in developing and refining metrics for evaluating the performance and effectiveness of AI/ML models used by services regulated under the Online Safety Act. Identify pitfalls and provide insights on improving model accuracy, robustness, and fairness in applications such as recommender systems, age assurance technologies, and automated content classifiers.
• Technology Guidance and Evaluation: Offer strategic guidance on the latest technological advancements and realistic capabilities for enhancing AI/ML systems in regulated services. Evaluate third-party technologies and tools for their performance, ethical considerations, and compliance with regulatory standards.
• Research and Innovation: Lead research initiatives aimed at identifying and adapting emerging technologies that can improve AI/ML models’ performance, fairness, and user satisfaction in regulated environments.

Contribution to the Broader Algorithmic Research and Development Efforts:

• Innovation with ML and DL Tools: Apply state-of-the-art knowledge in machine learning (ML) and deep learning (DL) to explore and implement new tools and techniques. Address key challenges in the evaluation of AI/ML systems, drawing inspiration from advancements in academia, industry, and other sectors.
• Mentorship and Knowledge Sharing: Act as a primary knowledge source and mentor, guiding less experienced engineers and researchers through the complexities of AI/ML evaluation and regulatory compliance. Promote a culture of continuous learning and professional growth within the team.
• The skills, knowledge and experience you will need for success

Skills, Knowledge and Experience

• Research Excellence: Demonstrated history of conducting high-impact research in AI and machine learning, particularly in evaluating the efficacy and safety of AI systems such as recommender systems, age assurance technologies, and automated content classification algorithms.
• Technical Proficiency: Strong programming skills in languages such as Python, and extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Advanced Knowledge: Expert understanding of algorithms used in AI/ML, including those related to computer vision, natural language processing, multimodal ML, and anomaly detection. Ability to assess these technologies for their performance, fairness, and compliance with regulatory standards.
• Data Expertise: Proficiency in managing large datasets, data preprocessing, and analysis to inform the evaluation and refinement of AI/ML models. Skilled in developing and applying metrics to assess model accuracy, robustness, and fairness.
• Ethical AI Commitment: Experience with ethical AI practices, including privacy considerations, responsible AI development, and algorithmic evaluation. Knowledge of algorithmic transparency and fairness, and the ability to advise on ethical implications of AI use in regulated environments.

• Building Solutions: Identify and solve complex issues, using evidence-based methods to gather insights and develop well-founded solutions.
• Articulating Ideas: Express your ideas, thoughts, and information in a clear and concise manner, ensuring messages are understood by everyone.

Qualifications:PhD, MSc, or equivalent in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Candidates with evidence of equivalent demonstrable skills, leadership experience, and expertise in required specialist knowledge areas will also be considered.Inclusivity is at the heart of what we do.We are a forward-thinking, inclusive employer and recognise the value of diversity to truly make communications work for everyone. Our vision is to ensure Ofcom is a place where our people can work hard and be themselves. We aim to recruit from the widest pool of candidates possible – no matter your social background, ethnicity, sexual orientation, gender or disability. We strive to be representative of the whole of the UK and our aim is to be an employer of choice for everyone.We champion flexible working patterns including job shares where we can. Discover more about working at Ofcom at careers.ofcom.org.ukWe strive to ensure all our recruitment information and processes are accessible to and useable by everyone. If you would like to receive any information in a different way or would like us to do anything differently to help you apply for our roles, please let our recruitment team know by emailing resourcing@ofcom.org.uk or by telephone on 0330 912 1378.As a Disability Confident employer, we offer an interview to disabled applicants who meet the essential criteria for our advertised jobs. When you apply, you can let us know if you would like your application to be considered under this scheme (sometimes known as ‘guaranteed interview scheme’). Find out more about the scheme here: https://www.ofcom.org.uk/about-ofcom/jobs/disability-confident-schemeOfcom 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, ethnicity, sexual orientation, gender or disability.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.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.Our recruitment processes prioritise accessibility and inclusivity. If you need information in an alternative format or have specific preferences, please contact our recruitment team at or call 0330 912 1378.As a Disability Confident employer, we offer interviews to disabled applicants who meet essential criteria for advertised roles. Learn more about this scheme here.

Expected salary

Location

Manchester

Job date

Sun, 01 Sep 2024 01:07:37 GMT

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