Senior ML Engineer (NLP) - Build scalable AI with equity

Senior ML Engineer (NLP) - Build scalable AI with equity

Full-Time On-site
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At a Glance

  • Tasks: Design and implement core ML/AI technology to tackle meaningful problems.
  • Company: Condukt, a forward-thinking tech company in Greater London.
  • Benefits: Competitive salary, equity, and opportunities for professional growth.
  • Other info: Fast-paced environment with a talented team from leading tech companies.
  • Why this job: Shape engineering culture while working on impactful AI projects.
  • Qualifications: Experience in machine learning and natural language processing.

About us Condukt is the next-generation compliance platform for financial services, offering an agentic solution powered by real-time data for business identity. Always-on and policy-aware, Condukt enables financial institutions and fintechs to gain actionable insights into business verification - unlocking growth, increasing efficiency, and strengthening compliance. We were founded by former operators and builders with deep experience in banking, payments, and lending. Today, our team spans across London and Porto, bringing together engineers, product owners, and operators from companies like Revolut, Meta, Block (Square), SumUp, American Express, Yandex, and Marshmallow. Trusted by leading regulated entities, including Wise, Tide, Mollie, Shift4, Flatpay, and myPOS, Condukt is backed by top investors, including Lightspeed Venture Partners and MMC Ventures. Position Overview We are looking for a Senior Machine Learning Engineer (Natural Language Processing) to join our team. You will be an early shaper of the design and architecture of the ML/AI technology at the core of our platform, and work closely with the founding team to deliver 10x value to our clients. As an early-stage startup, we pride ourselves on our ability to roll up our sleeves and build from scratch. You’ll ship code frequently, iterate quickly based on feedback, and still meet the stringent security, performance, and uptime requirements our clients expect. We all love to build, scale, and grow: our leadership team has a strong track record of building products, scaling teams, and driving growth, and our ambitious engineers join us from leading tech companies and unicorns. If you’re passionate about turning complex problems into simple, elegant solutions, this role is for you. You’ll have a meaningful opportunity to shape our engineering culture from the ground up. What you'll do Develop ML/AI functionality at the core of our platform, owning end-to-end design and implementation Solve abstract, open-ended problems using modern AI tools and models across the entire data and engineering stack, working closely with a highly capable team Train, evaluate, and deploy models for intelligent document processing, web data parsing, classification, search, and matching Design and run experiments to explore new approaches, models, and data usage that improve our agents/LLMs, balancing innovation with pragmatism and clear trade-offs Ensure our AI products evolve quickly and safely by applying strong development and testing practices Continuously improve our data science and AI practices, helping define standards, processes, and tooling that align with industry best practices What you bring You are an effective and self-driven builder 3+ years of experience as a machine learning/AI engineer in product-centric settings Experience in production-level Python Experience implementing AI projects (prompt engineering, fine-tuning, multi-agent frameworks, LLMs, conversational AI) Strong understanding of modern AI tools and approaches Bachelor's or Master's degree in Computer Science or a related field Excellent communication skills and ability to work collaboratively in a fast-moving environment Our Offer Tackle meaningful problems with real-world impact Competitive salary and equity package Join us onsite in our offices in London or Porto (2 days a week) Flat hierarchy with direct access to founding team Top-of-the-line equipment Private health insurance, plus sick and compassionate leave as needed If you have any questions, please reach out to . #J-18808-Ljbffr

Senior ML Engineer (NLP) - Build scalable AI with equity employer: Condukt

Condukt is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and every team member's contribution is valued. With competitive salaries, equity options, and opportunities for professional growth, employees are empowered to tackle meaningful challenges in the heart of Greater London, collaborating with a diverse group of experienced professionals from top tech firms. Join us to not only advance your career but also to make a significant impact in the world of AI.

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Contact Details:

Condukt Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Engineer (NLP) - Build scalable AI with equity

✨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 Condukt 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 Condukt.

✨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 Condukt.

✨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 Condukt 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 (NLP) - Build scalable AI with equity

Machine Learning
Natural Language Processing (NLP)
Model Training
Data Science Practices
Core ML/AI Technology Design
Scalability
Team Collaboration

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 Condukt.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Condukt 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 Condukt

✨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 Condukt 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.