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Palladium: Make It Possible

AI and Machine Learning Advisor

London, GBPosted 3 weeks ago
hybrid

Job Description

Develop the AI / ML strategy for EWAR aligned with the strategic objectives of HCRD and HEROS Embed AI/ML approaches into EWAR analytical processes in a proportionate, ethical, and context appropriate manner. Stay up to date with AI developments and best practice applications, both in humanitarian communities, wider industry, and across FCDO PRODUCT DEVELOPMENT AND DELIVERY Identify opportunities for EWAR to embed AI tools into its analytical processes, including in the development of the HEWN, scenario development, monitoring evaluation and learning, and in ad hoc analytical products. Support with the practical implementation of AI ML technologies; fine tune, evaluate, and deploy AI/ML models for usage in the teams analytical workflows. Evaluate and support the continued development of existing AI/ML tools and methodologies used within EWAR. Co-design data-driven products that meet FCDO’s humanitarian information needs, as well as operational needs of the HEROS contract Once complete and where possible, the AI specialist will provide training for relevant EWAR staff to access and run these tools. Support the evolution of the HEWN (Humanitarian Early Warning Note) and other flagship products through AI/ML innovation. CAPACITY BUILDING AND KNOWLEDGE SHARING Ensure responsible AI use amongst EWAR, ensuring compliance with privacy and ethical standards, as well as FCDO responsible use guidelines. Regularly communicate limitations of AI/ML methodologies used to non-technical audiences. Participation at industry events and active development and maintaining bi-lateral relations with relevant stakeholders. Communicate findings to non-technical audiences. Build internal capacity on AI/ML across HSOT, through formal and informal touchpoints. Contribute to the development HSOT’s learning agenda and support the Learning and Impact pillar with data for monitoring and evaluation. COLLABORATION Work closely with the Data and Visualisation pillar and the wider EWAR team to ensure that all activity is embedded in broader pillar workplan and aligned with the strategic direction of the team. Support and contribute to cross-contract AI/ML initiatives and innovation in alignment with the HSOT AI strategy Work constructively with colleagues to achieve shared goals. Share knowledge, support others, and contribute to a positive team culture. Be open to feedback and willing to adapt to meet team needs. RISK MANAGEMENT Be aware of potential risks to effective and responsible programme management and contribute to mitigation measures according to job role. Be familiar with and actively participate in established risk management procedures, including reporting issues against identified risks and failures of mitigation measures. Contribute to risk assessment activities and suggest improvements. OTHER DUTIES The post holder will be required to deploy to support an FCDO response if required for up to 25% of the time. Undertake any other duties as appropriate to the position, as requested. Fulfil role of Duty Officer on rotation, providing week-long out of hours surveillance of emergencies. Contribute to HEROS contract quarterly and annual contractual reporting on specialist portfolio, and provide support as requested in support of results-based reporting. Collaborate constructively with colleagues to achieve shared goals and deliver impactful outcomes. Share knowledge and expertise to support team members and contribute to a positive, inclusive team culture. Remain open to feedback and demonstrate adaptability to meet evolving team and project needs Support business Transition and Exit Planning: Play a pivotal role in adapting to system upgrades and organizational changes, ensuring the workforce is aligned with future business needs. Lead on providing data inputs during the transition phase. This position follows Palladium’s hybrid working policy, requiring a minimum attendance of three days in the office. As appropriate, engage with Palladium UKEA regional team fora and initiatives.

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AI and Machine Learning Advisor at Palladium: Make It Possible | Renata