
About Faculty
Empowering businesses with AI-driven insights
Key Highlights
- Raised $52.7M in Series A funding
- Headquartered in Old Street, London, UK
- Works with clients like Samsung, BBC, and Just Eat
- Developed Frontier, a Design Intelligence platform
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...
🎁 Benefits
Faculty offers hybrid working arrangements, equity options for employees, unlimited holidays, and comprehensive health coverage including private heal...
🌟 Culture
Faculty emphasizes a results-driven culture where employees are trusted to manage their own work schedules. The company values collaboration and innov...
Overview
Faculty is seeking a Senior Machine Learning Engineer to lead the development and deployment of responsible AI solutions. You'll work with a diverse range of clients across various industries, leveraging your expertise in AI to drive innovation. This role requires significant experience in machine learning and AI technologies.
Job Description
Who you are
You have a strong background in machine learning and AI, with at least 5 years of experience in developing and deploying machine learning models in production environments. Your expertise includes a deep understanding of algorithms, data structures, and statistical methods, which you apply to solve complex problems. You are comfortable working with large datasets and have experience in data preprocessing, feature engineering, and model evaluation. You thrive in collaborative environments and enjoy working closely with cross-functional teams to deliver impactful AI solutions. You are passionate about responsible AI and understand the importance of ethical considerations in technology deployment.
Desirable
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with MLOps practices for model deployment and monitoring. You may also have experience in specific industries such as finance or healthcare, which can provide valuable insights into the unique challenges faced by clients in these sectors.
What you'll do
As a Senior Machine Learning Engineer at Faculty, you will lead the design and implementation of machine learning solutions tailored to the needs of our clients. You will collaborate with data scientists and software engineers to build scalable and efficient AI systems that enhance client performance. Your role will involve conducting research to identify the best algorithms and techniques for specific use cases, as well as developing prototypes and proof-of-concept models. You will also be responsible for mentoring junior engineers and sharing your knowledge of best practices in machine learning and AI development.
You will engage with clients to understand their business challenges and translate these into technical requirements for AI solutions. This will involve presenting your findings and recommendations to stakeholders, ensuring that the solutions you propose are aligned with their strategic goals. You will also monitor the performance of deployed models, making adjustments as necessary to optimize their effectiveness and ensure compliance with industry regulations.
What we offer
At Faculty, we offer a dynamic work environment where innovation is at the forefront of our mission. You will have the opportunity to work with a diverse range of clients and industries, applying your skills to real-world challenges. We provide flexible working arrangements, allowing you to balance your professional and personal life effectively. Our commitment to professional development means you will have access to training and resources to further enhance your skills in machine learning and AI. Join us in shaping the future of technology through responsible AI.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Faculty.
Similar Jobs You Might Like
Based on your interests and this role

Machine Learning Engineer
Faculty is hiring a Senior Machine Learning Engineer to lead the development and deployment of AI systems for diverse clients. You'll work with technologies like Python, TensorFlow, and AWS to create scalable ML solutions. This position requires significant experience in machine learning and AI.

Machine Learning Engineer
Faculty is hiring a Senior Machine Learning Engineer to develop and deploy human-centric AI solutions. You'll work with Python, TensorFlow, and PyTorch to drive impactful AI applications. This position requires significant experience in machine learning and AI technologies.

Machine Learning Engineer
Faculty is hiring a Senior Machine Learning Engineer to build and deploy responsible AI solutions. You'll work with clients in the defence sector and require eligibility for UK Security Clearance. This position emphasizes collaboration and ethical AI development.

Machine Learning Engineer
Faculty is seeking a Machine Learning Engineer to develop and implement human-centered AI solutions for clients in the defence sector. You'll work with technologies like Python and TensorFlow while collaborating closely with clients. This role requires eligibility for UK Security Clearance.

Machine Learning Engineer
Faculty is hiring a Machine Learning Engineer to deliver bespoke AI solutions for diverse clients. You'll work on bringing machine learning applications to real-world scenarios. This position requires a strong background in AI and machine learning.