Machine Learning Engineer in London

Machine Learning Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Job Search Place Limited

At a Glance

  • Tasks: Develop and implement cutting-edge ML/AI solutions for our innovative platform.
  • Company: Join Condukt, a next-gen compliance platform transforming financial services.
  • Benefits: Competitive salary, equity package, private health insurance, and top-notch equipment.
  • Other info: Flat hierarchy with direct access to founders and excellent career growth opportunities.
  • Why this job: Shape the future of AI while tackling meaningful real-world problems.
  • Qualifications: 3+ years in machine learning, strong Python skills, and collaborative mindset.

The predicted salary is between 60000 - 80000 £ per year.

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 and 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.
  • Flat hierarchy with direct access to founding team.
  • Top-of-the-line equipment.
  • Private health insurance, plus sick and compassionate leave as needed.

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.

Machine Learning Engineer in London employer: Job Search Place Limited

Condukt is an exceptional employer for Machine Learning Engineers, offering a dynamic startup environment where innovation thrives. With a flat hierarchy and direct access to the founding team, employees are empowered to shape the engineering culture and tackle meaningful problems that have real-world impact. Located in vibrant London or Porto, Condukt provides competitive salaries, equity packages, and top-of-the-line equipment, alongside opportunities for professional growth and collaboration with a talented team from leading tech companies.

Job Search Place Limited

Contact Details:

Job Search Place Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine!

Tip Number 3

Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. Practice common ML interview questions and think about how you can demonstrate your problem-solving abilities.

Tip Number 4

Apply through our website! We love seeing passionate candidates who are eager to join our team. Make sure to tailor your application to highlight how your experience aligns with what we’re looking for in a Machine Learning Engineer.

We think you need these skills to ace Machine Learning Engineer in London

Machine Learning
Natural Language Processing
Python
AI Project Implementation
Prompt Engineering
Fine-Tuning
Multi-Agent Frameworks

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your experience in AI projects and production-level Python to catch our eye!

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about building AI solutions. Share specific examples of how you've tackled complex problems in the past, and let your personality shine through!

Showcase Your Projects:If you’ve worked on any relevant projects, don’t hesitate to include them! Whether it’s a GitHub repo or a personal project, we love seeing how you’ve applied your skills in real-world scenarios.

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get the ball rolling!

How to prepare for a job interview at Job Search Place Limited

Know Your ML Fundamentals

Brush up on your machine learning fundamentals, especially in natural language processing. Be ready to discuss algorithms, models, and your past projects. This will show that you have a solid foundation and can contribute to the team right away.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex problems using AI tools. Highlight your thought process and how you arrived at your solutions. This will demonstrate your ability to think critically and innovate, which is key for this role.

Familiarise Yourself with Their Tech Stack

Research the technologies and frameworks used by the company. If they mention specific tools in the job description, make sure you understand them. Being able to speak knowledgeably about their tech stack will impress the interviewers and show your genuine interest.

Ask Insightful Questions

Prepare thoughtful questions about the company's vision, culture, and the challenges they face in AI development. This not only shows your enthusiasm but also helps you gauge if the company aligns with your values and career goals.