Ravelin on cord

Ravelin

Machine Learning Engineering Manager

External position
London, UK
Hiring internally for Ravelin?
FinTech · Machine Learning and AI
Make smarter decisions on fraud and payments.
Active
over 6 months ago
Posted
2 weeks ago
Checked
cord regularly checks that external positions are still open
6 hours ago

Skills & Experience

Job roles: Machine Learning Engineer
Experience level: Senior, Lead, Leadership
Core skills considered: Machine Learning, Python, Kubeflow, CI/CD, Software Architecture
Other skills considered: Data Pipelines, Deep Learning, Scrum, Agile, Project Management

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: On-site
Visa sponsorship: Not available

Job Description

We are currently looking for an Engineering Manager to line manage ML engineers and drive innovation across our suite of fraud detection products. You'll work closely with data scientists, product, engineering and our operations teams to develop ML models and ML products. Our ideal candidate is pragmatic, approachable and filled with knowledge tempered by past failures.

You will hire, coach and develop a talented machine learning team to deliver on the ML product and platform roadmap. You are in your element working with people. You'll partner closely with senior members of Detection to discover new avenues for ML product innovation. From time to time, you're excited to even do some software or model development yourself.

The work is not all green field research. The everyday work is about making safe incremental progress towards better models for our clients. The ideal candidate is willing to get involved in both aspects of the job - and understand why both are important.


Key Responsibilities

  • Act as a key leader in establishing excellence within machine learning engineering and across the detection team
  • Line manage a team of machine learning engineers - providing coaching and guidance in support of the ongoing development and growth of your team
  • Propose and champion new machine learning methods and tools (including platforms that empower Data Science experimentation) to influence the technical roadmap and promote continuous innovation
  • Drive cross-functional initiatives with Data Engineering, Infra, and other teams to align on data architecture and ensure we make the right ML product decisions
  • Investigate model performance issues
  • Develop and deploy new models to detect fraud whilst maintaining SLAs

Skills, Knowledge and Expertise

  • Minimum of 1 year of experience as an engineering manager, managing at least 3 people
  • You are a strong collaborator with colleagues outside of your immediate team, for example with data science, engineering, product, client operations teams and with senior leadership
  • You know how to manage and retain talented engineers from a diverse range of backgrounds and personalities. You can handle difficult management situations with tact, empathy and support
  • You have significant experience building and deploying ML models using the Python data stack
  • Familiarity with modern workflow orchestration tools such as Prefect, Kubeflow, Argo, etc.
  • You understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and how they apply to machine learning engineering
  • Comfortable spending 30-40% of your time hands-on in the codebase and adapting your technical involvement based on the roadmap

Nice to have

  • Pytorch or Tensorflow deep learning experience
  • Experience with Go, C++, Java or another systems language
  • Experience using dbt

Company Benefits

  • Mental health support through Spill + quarterly wellbeing day off
  • £1000 learning & development budget as well as Quarterly Learning Days
  • Comprehensive medical cover with AXA
  • Pension Scheme with Aviva
  • 25 days holiday + bank holidays + 1 extra day off for religious holidays
  • Flexible working hours & remote friendly environment
  • Ravelin Gives Back - monthly charitable donations and regular volunteering opportunities
  • TeamBandit - Fortnightly team lunches with different people from across the company
  • Access to BorrowmyDoggy
  • Cycle-to-Work scheme
  • Weekly board game nights & budget for regular socials that anyone can organise
  • Weekly Virtual exercise classes including yoga, pilates & HIIT sessions
Machine Learning Engineering Manager at Ravelin
Position posted 2 weeks 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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