Artificial Intelligence and Machine Learning Specialist
6 days ago
At Faculty, we're on a mission to transform organisational performance through safe, impactful and human-led AI. As a leading applied AI company, we've been at the forefront of this technology for over a decade, long before the current hype cycle.
We were founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award-winning Fellowship.
Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely.
Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online.
As an AI and Machine Learning Engineer at Faculty, you'll be working on designing, building, and deploying production-grade software, infrastructure, and MLOps systems that leverage machine learning. You'll be part of a cross-functional team with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.
Key responsibilities include:
- Building software and infrastructure that leverages Machine Learning;
- Creating reusable, scalable tools to enable better delivery of ML systems;
- Working with our customers to help understand their needs;
- Working with data scientists and engineers to develop best practices and new technologies;
- Implementing and developing Faculty's view on what it means to operationalise ML software.
We're looking for someone who combines expertise and ambition with optimism -- who is interested in changing the world for the better -- and has the drive and intelligence to make it happen. To succeed in this role, you'll need the following:
- Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch;
- Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques;
- Experience in Software Engineering including programming in Python;
- Technical experience of cloud architecture, security, deployment, and open-source tools.
We're a company that values technical expertise, but also looks for people who are interested in changing the world for the better. If you're passionate about AI and Machine Learning, and want to work on high-impact projects that make a real difference, then we'd love to hear from you.
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