Machine Learning Engineer

Join Almedia as a Machine Learning Engineer, where you'll be at the forefront of innovation in artificial intelligence and machine learning technologies. Your role will involve designing and implementing machine learning models to solve complex real-world problems. Collaborate with a talented team of engineers and data scientists to enhance our products and …

Join our dynamic team at comind as a Senior Machine Learning Engineer. In this pivotal role, you will leverage your expertise in machine learning and data analysis to develop innovative solutions that drive our business forward. You will collaborate with cross-functional teams to design, implement, and optimize algorithms that enhance our products and services.

AccuRx seeks a Senior Machine Learning Engineer to join the team in London (Shoreditch). This position centers on creating machine learning tools that help improve patient care and streamline healthcare processes. What you will do Design and build machine learning solutions aimed at supporting healthcare professionals and patients. Work closely with a talented team to develop technology that makes a real difference in healthcare delivery. Collaboration Teamwork is a key part of this role. Regular collaboration with colleagues ensures that the solutions developed are practical and impactful for real-world healthcare settings. Location This position is based in Shoreditch, London.

Our Mission Dex exists to help people find work that matches their strengths and interests. Too many talented individuals feel disconnected from their jobs, leaving potential untapped. Dex aims to close this gap by using technology to connect people with opportunities where they can thrive. By supporting more people in doing what they love, we hope to build a happier and more productive world. We are beginning this journey by connecting ambitious software engineers with companies that value their skills. About Dex Dex is backed by investors such as a16z Speedrun, Concept Ventures, and angels from OpenAI, Wise, ElevenLabs, and Meta's board. Our team of 12 works out of the Borough of London. We value ambition, directness, and kindness, and look for people who are authentic and proactive. While we support flexible schedules, we typically meet in person around three times each week. Role Overview: Founding Machine Learning Engineer This position centers on machine learning engineering, not research or prompt engineering. A solid grasp of how embeddings represent meaning and how attention affects retrieval is important. Large language models (LLMs) are part of the toolkit, but the focus is on understanding and solving problems at the model level, not just using APIs. The main goal: build a system that can quickly and accurately stack-rank candidates for new roles in seconds. Ownership of the representations and scoring models that power Dex’s ability to match engineers with companies. The matchmaking engine developed will underpin future features, including candidate-focused products, automated outreach, and improved sourcing tools. Strong engineering skills are as important as machine learning expertise. What You'll Do Lead machine learning projects, delivering efficient and reliable systems. Location This role is based in London, with in-person collaboration expected several times a week.

Role overview The Staff Machine Learning Engineer at AccuRx will work onsite in London (Shoreditch). The main focus is on creating and deploying machine learning models that help improve patient care and make healthcare workflows more efficient. This work aims to benefit both patients and healthcare professionals. What you will do Design, build, and deploy machine learning models for healthcare use cases Collaborate with engineering, product, and clinical teams to shape solutions Contribute to projects that influence patient outcomes and support healthcare providers

Join Bloom & Wild, where we transform the way people express their emotions through flowers and gifts. Our mission is to celebrate the everyday moments that matter—both the highs and the lows. We’re passionate about creating connections and enhancing lives through thoughtful gestures. As a certified B Corp™, we pride ourselves on our commitment to sustainability and positive social impact. We’re dedicated to enriching our community and the environment, ensuring that our business practices contribute to a brighter future. Founded in 2013, we revolutionized flower delivery with innovative technology, branding, and convenient letterbox delivery. With over 20 million orders fulfilled, we are proud to be the leading direct-to-consumer flower company in Europe. Our recent acquisitions of bloomon in The Netherlands and Bergamotte in France have further strengthened our position in the gifting market. At Bloom & Wild, our vision extends beyond flowers. We aim to be the ultimate destination for thoughtful gifting, expanding our offerings to include cakes, candles, and cocktails. Join us as we build Europe’s #1 direct-to-consumer gifting platform. Team @ Bloom & Wild Group

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. Over the years, we have partnered with more than 350 global clients, transforming their operations using human-centric AI solutions. Discover our impactful projects here.We prioritize innovation over trends, developing responsible AI that genuinely drives results. Our team offers unmatched expertise in technical, product, and delivery aspects, serving clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business expands rapidly, we seek individuals who share our intellectual curiosity and aim to create a meaningful legacy through technology.Join us in harnessing AI's potential and making a significant difference in its applications.About Our TeamOur Defence team is dedicated to developing and implementing human-centered AI solutions that provide our nation with a strategic advantage in defense. We collaborate closely with clients to deliver ethical and cutting-edge AI for high-stakes scenarios, ensuring the balance of global power critical to our freedoms.Due to the sensitive nature of our work with Defence clients, you will need to be eligible for UK Security Clearance (SC) and should be prepared to work on-site with these clients 2 to 4 days a week, which may involve travel across the UK.When not on client sites, you will enjoy the flexibility of working from our London office or remotely from any location within the UK.Role OverviewAs a Senior Machine Learning Engineer, you will spearhead the development and deployment of innovative AI systems for a diverse client base. Your responsibilities will include designing, building, and deploying scalable, production-quality ML software and infrastructure that adheres to stringent operational and ethical standards.This position requires a proactive, cross-functional approach, blending technical skills, engineering leadership, and strong client-facing abilities.

Role overview Utility Warehouse is hiring a Senior Machine Learning Engineer in London. This role focuses on building and deploying machine learning models that support business goals and improve customer interactions. The position involves close collaboration with colleagues from different teams to deliver practical solutions. What you will do Design, develop, and implement machine learning algorithms Analyze data to identify patterns and opportunities for automation Work with software engineers and other stakeholders to integrate models into production systems Support decision-making by delivering insights from data-driven models

Join our innovative startup, semaloop, as a Founding Machine Learning Engineer. In this pivotal role, you will design, develop, and deploy cutting-edge machine learning algorithms that will shape the future of our products. We are looking for a passionate engineer who thrives in a dynamic environment and is eager to make a substantial impact from the ground up.Your responsibilities will include collaborating with cross-functional teams, conducting data analysis, and implementing models that drive our technology forward. If you're excited about building scalable solutions and have a solid foundation in machine learning, we'd love to hear from you!

Role Overview Spotify is looking for a Machine Learning Engineer focused on Personalization to join the team in London. This role centers on using data insights to improve how users interact with the platform and increase engagement. What You Will Do Work with teams across disciplines to build and refine machine learning models for content and recommendation personalization. Develop solutions that tailor Spotify experiences for millions of listeners around the world. Apply data-driven methods to inform product decisions and feature development.

Join PhysicsX as a Senior Machine Learning Infrastructure Engineer and play a pivotal role in shaping our machine learning capabilities. In this position, you will architect, develop, and scale our infrastructure to support advanced machine learning models and applications. Collaborate with cross-functional teams to ensure seamless integration and high performance of our ML systems.

Join our dynamic team at Carta as a Senior Machine Learning Engineer II, where you will leverage cutting-edge technology to shape the future of our data-driven solutions. You will play a pivotal role in designing, developing, and deploying machine learning models that enhance our product offerings and drive business impact.

Join Deliveroo as a Senior Machine Learning Platform Engineer, where you'll play a pivotal role in shaping the future of our machine learning capabilities. You will work alongside talented engineers and data scientists to build robust and scalable machine learning platforms that drive our business forward. Your expertise will help us leverage data to enhance our services, improve customer experiences, and optimize performance.

Spotify is hiring a Director of Machine Learning Engineering to guide the Surfaces Foundation team in London. This leadership role centers on driving the development and improvement of machine learning models that shape user experiences throughout the Spotify platform. Role overview This position involves managing a skilled engineering group dedicated to building and refining machine learning solutions. The work directly supports Spotify’s goal of delivering a more personalized and efficient platform for listeners. Key responsibilities Set the strategic direction for machine learning projects within the Surfaces Foundation team Oversee the design and deployment of new ML models to enhance user experiences Ensure successful implementation of advanced machine learning technologies across the platform Location This role is based in London.

We are seeking a highly skilled and innovative Principal Machine Learning Engineer to join our dynamic team at Faculty. In this role, you will lead the design and development of advanced machine learning models and solutions to address complex challenges. You will collaborate with cross-functional teams, leveraging your expertise to drive impactful projects that shape the future of our technology.

We are seeking a highly skilled Senior Machine Learning Engineer to join our innovative team at Faculty. In this role, you will be responsible for developing and implementing cutting-edge machine learning models and solutions that drive our projects forward. You will collaborate closely with data scientists and analysts to transform complex datasets into actionable insights and scalable solutions.Your expertise will play a crucial role in enhancing our products and services, and you will have the opportunity to work on exciting projects that challenge the status quo. If you are passionate about machine learning and eager to make a significant impact, we want to hear from you!

Join our dynamic team at Spotify as a Staff Machine Learning Engineer, where you will be at the forefront of developing innovative AI solutions that enhance user experiences. In this role, you'll collaborate with cross-functional teams, leveraging your expertise in machine learning algorithms and data analysis to drive impactful projects.Your responsibilities will include designing and implementing machine learning models, optimizing algorithms for performance, and conducting research to stay ahead of industry trends. You will also mentor junior engineers, fostering a culture of knowledge sharing and continuous improvement.

Join Spotify as a Senior Machine Learning Engineer specializing in Policy & Safety, where you will leverage cutting-edge technologies to enhance user experience and ensure compliance with evolving regulations. You will be part of a dynamic team, driving innovation and delivering impactful solutions to safeguard our platform.

Role overview ASOS seeks a Senior Machine Learning Engineer to advance its recommendation systems. This team develops and enhances algorithms that deliver personalized product suggestions to a large customer base. What you will do Design, implement, and improve machine learning models focused on recommendations Collaborate with data scientists, software engineers, and product managers to create solutions that boost user engagement Work on algorithms that make shopping experiences more relevant and rewarding for ASOS customers Location This role is based in London.

PhysicsX is looking for a Machine Learning Software Engineer to join its research division in London. This position centers on developing new machine learning solutions in collaboration with researchers and engineers. Role overview The work involves applying advanced algorithms and data analysis techniques to address complex challenges spanning several fields. The team values creative problem-solving and technical depth. Collaboration Expect to work closely with colleagues from diverse backgrounds, combining expertise to create practical and innovative solutions. The environment encourages sharing ideas and learning from each other. Location This role is based in London, United Kingdom.