
Empowering businesses with AI-driven insights
Faculty, headquartered in Old Street, London, specializes in AI solutions for public and private sectors, working with clients like Samsung, the BBC, and Just Eat. The company has raised $52.7 million in Series A funding and employs between 201-500 people. Their flagship product, Frontier, is a Desi...
Faculty offers hybrid working arrangements, equity options for employees, unlimited holidays, and comprehensive health coverage including private heal...
Faculty emphasizes a results-driven culture where employees are trusted to manage their own work schedules. The company values collaboration and innov...

Faculty • London
Faculty is seeking a Lead Software Engineer specializing in Machine Learning to drive AI innovations for various industries. You'll work on deploying responsible AI solutions that have a measurable impact. This role requires strong expertise in machine learning technologies.
You have a strong background in software engineering with a focus on machine learning — your experience includes designing and implementing AI solutions that drive real-world impact across various sectors. You thrive in collaborative environments, working closely with cross-functional teams to deliver innovative products that meet client needs.
You possess deep technical expertise in machine learning frameworks and tools — your knowledge allows you to navigate complex AI challenges and contribute to the development of responsible AI applications. You are passionate about leveraging technology to create sustainable solutions that address pressing global issues.
Your communication skills are exceptional — you can articulate complex technical concepts to non-technical stakeholders, ensuring alignment and understanding across teams. You are also committed to continuous learning and staying updated with the latest advancements in AI and machine learning.
You have a proven track record of leading projects from conception to deployment — your ability to manage timelines, resources, and team dynamics ensures successful project outcomes. You are comfortable taking initiative and driving innovation within your team.
Experience in the clean energy sector or working with utility companies would be a plus — you understand the unique challenges and opportunities in this field and are eager to contribute to the transition to net-zero emissions.
As a Lead Software Engineer at Faculty, you will spearhead the development of AI solutions that transform client operations — your role involves collaborating with clients to understand their needs and translating them into technical requirements. You will lead a team of engineers, providing mentorship and guidance to foster their growth and development.
You will be responsible for designing and implementing machine learning models that deliver measurable results — your expertise will help optimize processes and drive efficiencies for our clients. You will also oversee the deployment of these models, ensuring they operate effectively in production environments.
Your role will involve conducting research to identify new opportunities for AI applications — you will stay ahead of industry trends and leverage your findings to enhance our offerings. You will work closely with data scientists and product managers to ensure that our solutions align with client expectations and deliver value.
You will participate in code reviews and contribute to the continuous improvement of our engineering practices — your insights will help maintain high standards of quality and performance across our projects. You will also engage in stakeholder meetings to present project updates and gather feedback.
At Faculty, we provide a dynamic work environment that encourages innovation and collaboration — you will have the opportunity to work on impactful projects that contribute to a sustainable future. We offer flexible working arrangements, allowing you to balance your professional and personal life effectively.
You will be part of a team that values intellectual curiosity and a commitment to responsible AI — we believe in empowering our employees to envision and create powerful applications of technology. Our culture promotes continuous learning and professional development, ensuring you have the resources to grow in your career.
We encourage you to apply even if your experience doesn't match every requirement — we value diverse perspectives and are open to conversations about part-time roles or condensed hours. Join us in making a positive legacy through technology.
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