Machine Learning Engineer jobs in United Kingdom

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human‑centric AI. You can read about our real‑world impact here.

We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.

AI is an epoch‑defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

As a Senior Data Scientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI‑powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins.

Whilst doing this well is partly about building familiarity with Frontier’s development interfaces, it’s mainly about doing things that are critical in any applied data science role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation.

In terms of other activities you’ll do in the role:

• You’ll be a leader within a cross‑functional delivery team, working closely with engineers, designers, and commercial roles to deliver value to customers. Working closely with the leads of these other functions you’ll ultimately be responsible for the successful delivery.
• You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects.
• You will play an important role in the development of other data scientists at Faculty through activity management and potentially line management of others.

• Senior experience in either a professional data science position or a quantitative academic field.
• Strong python skills as evidenced by earlier work in data science or software engineering.
• An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit‑Learn) and familiarity with a deep‑learning framework (e.g. TensorFlow, PyTorch, Caffe).
• A high level of mathematical competence and proficiency in statistics.
• A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time‑series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill.
• A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture.
• An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment.
• Some commercial experience, particularly if this involved client‑facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience.
• Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery.
• A product mindset, able to understand the needs of users and to learn how Frontier delivers them value.

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

Some of our standout benefits:

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family‑Friendly Flexibility & Flexible working
• Sanctus Coaching
• Hybrid Working (2 days in our Old Street office, London)

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai Please know we are open to conversations about part‑time roles or condensed hours.