At a Glance
- Tasks: Build innovative ML solutions for document fraud detection and enhance customer onboarding experiences.
- Company: Join Entrust, a leader in identity-centric security solutions with a collaborative culture.
- Benefits: Enjoy flexible work options, career growth opportunities, and a supportive team environment.
- Other info: Be part of a diverse team that values inclusion and continuous improvement.
- Why this job: Make a real impact using cutting-edge technology to secure identities globally.
- Qualifications: Experience in production ML systems and strong collaboration skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
Join us at Entrust. At Entrust, we’re shaping the future of identity-centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.
Get to Know Us. Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.
The role: We're looking for a Senior Software Engineer to join our Document Fraud team, where you'll build products that delight customers across all our product offerings including financial services, driving verification, proof of address, and much more. Our team builds the fraud detection capabilities that power identity, processing government identity documents to enable secure document verification, fraud prevention, and seamless customer onboarding experiences.
As a Senior Software Engineer on the Document Extraction team, you'll focus on delivering high-accuracy extraction with global document coverage. You'll contribute to our Document Verification offering, helping customers create smooth and secure onboarding experiences. To achieve this, you'll leverage cutting-edge technology including VLM/LLMs and traditional ML approaches in production systems at scale, tackling challenges from designing training and evaluation pipelines, optimising inference for real-time extraction, and integrating as part of our product offering.
What You'll Do:
- Work closely with Applied Science, Product, Design, Data Science, and Operations to deliver highly accurate and performant document classification and extraction solutions across thousands of documents globally.
- Lead the technical design of complex features and systems, taking ownership from RFC through implementation to production deployment.
- Build and optimize production ML systems that matter: develop repeatable pipelines for training, evaluating, and deploying LLM models; implement GPU optimizations for inference; design advanced labeling workflows to improve model accuracy; and engineer robust solutions that deliver measurable customer value through faster processing and more accurate extraction.
- Champion performance, scalability, and reliability by deeply understanding how our systems operate in production.
- Drive technical excellence across the team by leading RFCs, reviewing critical code, holding peers accountable for quality, and making well-reasoned tradeoffs between competing priorities.
- Mentor and enable other engineers through pair programming, technical guidance, and collaborative problem-solving.
- Coordinate solutions to cross-cutting technical problems, working seamlessly across team and organizational boundaries.
- Contribute to a culture of continuous improvement, psychological safety, and collaboration through active participation in our squad-based organization.
What We're Looking For:
- Strong production engineering experience: You've built, deployed, and operated complex systems in production.
- Hands-on LLM/ML systems experience: You've worked with LLMs in production.
- Technical depth and breadth: You're T-shaped—deep expertise in at least one area with broad understanding across software engineering.
- End-to-end ownership: You take complex projects from idea through design, implementation, and production with minimal oversight.
- Tech stack: Our services are primarily Python-based, as well as Ruby and Typescript, everything running on AWS with Kubernetes.
- Strong judgment and initiative: You make sound technical decisions in ambiguous situations.
- Mentorship and collaboration: You enable others to do their best work.
- Pragmatic problem-solving: You identify technical debt and tackle it strategically.
At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team:
- Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey.
- Flexibility: Life is all about balance. We offer flexible options that fit your lifestyle.
- Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together.
We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect.
Ready to Make an Impact? If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together.
Apply today!
Senior ML Engineer, Doc Fraud in London employer: Entrust
Entrust is an exceptional employer that prioritises employee growth and development, offering professional learning opportunities tailored to enhance your skills as a Systems Integrator. With a flexible work environment that supports remote, hybrid, or on-site options, you will thrive in an inclusive and collaborative culture that values diversity and encourages innovation. Join us to make a meaningful impact while working with cutting-edge identity and security solutions in a dynamic team setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer, Doc Fraud in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Entrust or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Entrust.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Entrust.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Entrust that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior ML Engineer, Doc Fraud in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Entrust.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Entrust and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Entrust
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Entrust uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.