Machine Learning Engineer

4 weeks ago

London, Greater London, United Kingdom Faculty Full time
About Faculty

Faculty is a leading applied AI company that transforms organisational performance through safe, impactful and human-led AI.

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.

We want people to join us who can help our customers reap the enormous benefits of AI safely.

What You'll Be Doing

You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning.

You will work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.

You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems.

As a Machine Learning Engineer, you'll be essential to helping us achieve our goal by:

  • 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.
Who We're Looking For

We're looking for individuals who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen.

We like people who think scientifically, even if they're not a scientist - they test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.

We're a rapidly growing organisation, so roles are dynamic and subject to change.

You'll need to have:

  • 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;
  • Comfortable in a high-growth startup environment;
  • Outstanding verbal and written communication;
  • Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution.
What We Can Offer You

Faculty is the professional challenge of a lifetime.

You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.

We foster talent in one another and always challenge assumptions.

We're a high-growth start-up now poised to expand internationally.

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