Faculty on cord

Faculty

Forward Deployed Engineer

External position
London, UK
Hiring internally for Faculty?
Consultancy · Machine Learning and AI
We help our clients use cutting edge AI to improve the performance of their business.
Active
over 6 months ago
Posted
a month ago
Checked
cord regularly checks that external positions are still open
50 minutes ago

Skills & Experience

Job roles: AI Engineer
Experience level: Mid, Senior
Core skills considered: Python, Machine Learning, AWS, Azure, GCP
Other skills considered: Docker, Kubernetes, Software Architecture, Artificial Intelligence

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse 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, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems.


What you will do

  • 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 Faculty's standards for deploying machine learning at scale.
  • Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.

About you

  • 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.
  • You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
  • You are comfortable with core ML concepts, including probability, statistics, and common learning techniques.
  • You're 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 solutions

Company Benefits

  • Genuinely flexible working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty.
  • Equity, we want you to benefit from Faculty’s growth and success.
  • Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family.
  • Fantastic private health, optical and dental cover, for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions.
  • Access to mental health coaching with Sanctus
  • Breakfast daily, and more fruit, drinks and snacks than you could ever eat (for office-based employees)
      Forward Deployed Engineer at Faculty
      Position posted a month ago

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      Starling Bank on cord

      Starling Bank

      Full Stack Engineer (ML Ops)

      London, UK
      FinTech · Banking · Finance
      A better bank for everyone
      Active
      over 6 months ago
      Responds to
      0% of requests
      Responds in
      1h 55m
      Requests
      7 pending

      Skills & Experience

      Job roles: Full Stack
      Experience level: Mid, Senior
      Core skills considered: Java, React, Redux, AWS, JavaScript

      Logistics

      Base salary: £70K - £110K
      Employment type: Permanent
      Remote working: Hybrid (up to 2 remote days p/w)
      Visa sponsorship: Not available

      Job Description

      Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

      Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

      We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

      Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

      The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

      Hybrid Working

      We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

      Our Data Environment

      Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

      We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

      Requirements

      We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

      We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

      • Design REST apis.
      • Code backend services, ideally using Java, or another other server side compiled language.
      • Develop modern front ends, ideally using React and Redux.
      • Get their code into the cloud and support it there, ideally on AWS.
      • Believe in clean coding, simple solutions, automated testing and continuous deployment.
      • Like to take ownership of a feature from the original idea through to live.
      • Think (like us) that a small number of empowered developers is the right way to deliver software.

      Company Benefits

      • 33 days holiday (including flexible bank holidays)
      • An extra day’s holiday for your birthday
      • 16 hours paid volunteering time a year
      • Part-time and/or flexible hours available for most roles
      • Salary sacrifice, company enhanced pension scheme
      • Life insurance at 4x your salary
      • Hybrid/remote working
      • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
      • Generous family-friendly policies
      • Varied social groups set up and run by our employees
      • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
      • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

      Full details are available on our careers site

      Interview Process

      Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

      • Stage 1 - 30 mins with one of the team
      • Stage 2 - Take home challenge
      • Stage 3 - 90 mins technical interview with two team members
      • Stage 3 - 45 min final with an executive and a member of the people team
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