Machine Learning Engineer

Why Faculty We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then weve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We dont 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 were 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 youll be empowered to envision its most powerful applications and to make them happen.About the teamIn our Professional and Financial Services Business unit we bring everything we have learned in more than a decade of Applied AI and use it to help our clients navigate a rapidly changing landscape.We develop and embed AI solutions which help firms become more efficient enhance customer experience and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry we see so much opportunity for meaningful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.#LI-PRIOAbout the roleJoin us as a Machine Learning Engineer to deliver bespoke impactful AI solutions for our diverse Financial Services clients.You will be instrumental in bringing machine learning out of the lab and into the real world contributing to scalable software architecture and defining best practices. Working with clients and cross-functional teams youll ensure technical feasibility and timely delivery of high-quality production-grade ML systems. What youll be doing:Building and deploying production-grade ML software tools and infrastructure.Creating reusable scalable solutions that accelerate the delivery of ML systems.Collaborating with engineers data scientists and commercial leads to solve critical client challenges.Leading technical scoping and architectural decisions to ensure project feasibility and impact.Defining and implementing Facultys standards for deploying machine learning at scale.Acting as a technical advisor to customers and partners translating complex ML concepts for stakeholders.Who were looking for:You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn TensorFlow or PyTorch.You possess strong Python skills and solid experience in software engineering best practices.You bring hands-on experience with cloud platforms and infrastructure (e.g. AWS Azure GCP) including architecture and security.Youve worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou are comfortable with core ML concepts including probability statistics and common learning techniques.Youre an excellent communicator able to guide technical teams and confidently advise non-technical stakeholders.You thrive in a fast-paced environment and enjoy the autonomy to own scope solve and delivery solutionsOur interview process:Talent Team Screen (30 mins)Pair Programming Interview (90 mins)System Design Interview (90 mins)Commercial Interview (60 mins)Our Recruitment EthosWe 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. Were 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 PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid Working (2 days in our Old Street office London)If you dont 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 - Please know we are open to conversations about part-time roles or condensed hours. Key Skills Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting Employment Type : Full-Time Experience: years Vacancy: 1