Backend Engineer - Customer Risk Monitoring (MLOps Growth Path)

Teya
London
10 months ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Backend ML Engineer | MLOps, TS & Docker Expert

Senior MLOps Engineer

Artificial Intelligence Consultant

Artificial Intelligence Consultant

Hello! We're Teya.

Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance.


At Teya we believe small, local businesses are the lifeblood of our communities.

We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street.


We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters.


We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us.


Become a part of our story.

We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits.


Your Team

The Customer Risk Monitoring team, part of the Acceptance group, is responsible for implementing and maintaining the analytical intelligence that protects Teya and its customers from exposure to financial risks, including fraud and money laundering. Our goals are to minimise financial losses to Teya while maintaining customer trust and ensuring compliance with regulatory requirements. This team aligns very closely with the Ops teams investigating suspicious activities. This is a growing team with great opportunities for career progression for motivated engineers.


As backend engineer in this team you will be expected to work very closely with engineers, data scientist and the team leadership to delivery our ambitious roadmap for fraud and AML risk monitoring.


You will work on projects such as setting up the infrastructure for real-time fraud detection and automated decision so that we can enable faster settlements cycles for our merchants, re-engineering of our fraud operations platform, building and integrating of tools to allow faster deployment, monitoring and operationalisation of our analytical models and much more.

For this role, we are happy to consider candidates who have a background in backend engineering and want to pivot and gain experience into MLOps, as long as you are keen and happy to put in the work to learn!


Your Mission

As a backend engineer in the Customer Risk Monitoring team you will:

  • Join in the early stage design of a platform for real time risk evaluation and automated decision.
  • Build high quality solutions using technologies such as Go, Python, Kafka, Docker, and Kubernetes.
  • Work collaboratively to deliver scalable platforms and services to build and execute advanced predictive models.
  • Gain hands-on experience and develop expertise in MLOps practices, working alongside experienced engineers and data scientists.
  • Work with best in class tools for observability, monitoring, and analysis.
  • Help build a culture of quality and delivery.
  • Be an advocate for best practices in coding, processes and ways of working.


Your Story

  • Some experience in platform and backend engineering. We are open to considering junior and mid-level engineers with varying levels of experience.
  • Passionate about solving problems in code using data structures and algorithms and advocating best coding practices.
  • Understanding of software system design, including ideally object-oriented, functional, and distributed design principles.
  • Demonstrable interest in MLOps and an enthusiasm to learn and contribute to this area. Prior experience is a plus but not required.
  • Able to work autonomously with little supervision.
  • You can demonstrate proactiveness and thrive in a highly collaborative environment.
  • Excellent verbal and written communication skills and ability to collaborate effectively with technical and non-technical stakeholders.


The Perks

  • We trust you, so we offer flexible working hours, as long it suits both you and your team;
  • Physical and mental health support through our partnership with GymPass giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, digital fitness and nutrition apps;
  • Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support;
  • Cycle-to-Work Scheme;
  • Health and Life Insurance;
  • Pension Scheme;
  • 25 days of Annual Leave (+ Bank Holidays);
  • Office snacks every day;
  • Friendly, comfortable and informal office environment in Central London.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.