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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Yoti Ltd - **Location:** London, United Kingdom (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Databases, Data Cleansing, Data Governance, Data Integrity, Data Structures, Relational Databases, Document-Oriented Databases, Fraud Prevention and Detection, Python (Programming Language), Linux Commands, Machine Learning, SQL Databases, Video Editing, Computer Vision and Image Processing, Data Processing, Scripting, Pytorch, Distributed Programming, Deep Learning, Model Validation, Git, ONNX (Open Neural Network Exchange) Format, Data Analytics, Data Pipelines, Docker - **Published:** October 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=91dc2e7a2e3e9af8 ## About the Role We're seeking a mid level Machine Learning engineer with 2-4 years of experience working with a similar tech stack. You will be responsible for preparing, optimizing, and organizing large-scale multimodal datasets for deep learning, including building pipelines for image and video processing. This is a fantastic opportunity to work alongside experienced researchers in a fast-moving and innovative environment. Working Arrangements: This will be a hybrid role and you will be expected to work from our Aldgate office atleast 1 day a week., * Proficiency in Git, Python, and a strong understanding of SQL for relational databases. * Solid understanding of common data structures and algorithms. * A good grasp of computer architecture and the core concepts of parallel and distributed programming. * Excellent problem solving skills. * A genuine interest in mathematics and statistics. * Familiarity with computer vision and image processing * Experience with: * Linux command-line and scripting * Docker * Git * Relational Databases * Automation Desirable Skills * Knowledge of at least one deep-learning framework, preferably PyTorch. * Experience working with multiple tensor framework formats, e.g. ONNX, CoreML. * Experience working in a dynamic environment within a research team. * Knowledge of cloud based ML tooling and data processing., Flexibility & Balance ## Description * Build upon our existing preprocessing system to add functionality for new data modalities, and automation of data preprocessing tasks in Python and SQL. * Manage large scale datasets, ensuring data integrity, quality and usability for research initiatives. * Collaborate with research scientists to establish efficient experimentation and model training workflows. * Develop tools that accelerate experimentation and streamline research processes. * Support model evaluation conducting regression and performance tests to ensure model reliability and accuracy. * Monitor and troubleshoot data pipelines, ensuring smooth operation and timely delivery of research data. * Document data workflows, best practices, and technical solutions to ensure knowledge sharing and reproducibility. * Collaborate with product teams to identify and implement data-driven solutions to business challenges. * Ensure compliance with data governance policies and security best practices., * Personal Development Budget: A dedicated, individual training budget to spend on your professional growth, plus quarterly YOTI Afternoons dedicated entirely to your professional development. * "Selfie Time": Paid time off every year to focus on volunteering, charity work, or personal passion projects. * Matched Fundraising: Double your impact - we match charitable fundraising contributions made by our team. * Unpaid Sabbatical: Career breaks available for long-term travel or personal resets after continuous service. This is a great opportunity to join a company that is leading the way for innovative and responsible identity verification. We're looking for people who can adapt to a fast-paced environment, as well as champion our brand and what we stand for. We value a positive attitude and people who have a collaborative, creative and transparent approach to solving problems. AI Usage during the recruitment process Please read our AI Usage in Recruitment policy to know more about how Yoti uses AI in the recruitment process and our stance on how candidates can use AI during the interview process. We believe in equal opportunities It takes a diverse community of passionate, talented and committed people to build a simpler, more secure way of proving identity. We're an equal opportunity employer, so we welcome applications from people of all backgrounds, with different outlooks and experiences. We are proud to be a Disability Confident employer and we're committed to making our recruitment process as inclusive and accessible as possible. If you have a disability or long-term condition and need any adjustments or support during the application or interview process, please let us know - we'll do everything we can to support you and to enable you to bring your best self to our hiring process. Pre-employment checks If your application is successful please be aware that as part of our pre-employment checks: * We will check your details against fraud prevention databases * We will check identity; address match; PEPs and sanctions; bank validation, verification, fraud checks, negative data (CCJ, bankruptcy) * If our investigations identify fraud or other criminal offences both when applying for a job and during your employment, we will record the details on the relevant fraud prevention databases. This information may be accessed from the UK and other countries and used by law enforcement agencies and other organisations to prevent fraud.