Machine Learning Engineering Manager - Supply Chain

Join trainline as a Machine Learning Engineering Manager and lead innovative projects in the supply chain sector. You will be responsible for guiding a team of talented engineers to develop cutting-edge machine learning solutions that optimize our operations and enhance customer experience. Your expertise will help drive data-driven decision making and improve efficiency across various processes.

Join Vusion Group SA as a Vendor and Supply Chain Manager, where you will play a pivotal role in optimizing our supply chain processes and fostering strong vendor relationships. We are looking for an experienced professional who can navigate the complexities of supply chain management and drive efficiency across our operations.Your responsibilities will include developing procurement strategies, managing supplier negotiations, and ensuring timely delivery of products. You will also be responsible for monitoring supply chain performance and implementing improvements to enhance productivity.

Role overview Helsing seeks a Supply Chain Manager to strengthen supply chain operations in either London or Plymouth. The position centers on refining logistics, procurement, and distribution processes to help achieve company objectives. What you will do Oversee logistics, procurement, and distribution activities from end to end Maintain efficient movement of goods throughout all supply chain stages Lead and mentor a team dedicated to improving operations Use strategic thinking to enhance processes and contribute to business growth Location This role is based in London or Plymouth.

As a Supply Chain Operations Manager at SquareTrade, you will lead the charge in optimizing our supply chain processes to ensure efficiency and effectiveness. You will work closely with cross-functional teams to enhance operational performance and drive strategic initiatives.Your role will involve analyzing supply chain metrics, identifying areas for improvement, and implementing innovative solutions. You will be responsible for managing supplier relationships and ensuring that all operations align with company goals.

As Canva continues to expand, the influence and potential of our AI-driven features are growing exponentially. We are in search of a Machine Learning Engineering Manager who will guide a remarkable team of Research Scientists and Machine Learning Engineers, develop production-ready evaluation systems, and transform advanced ML capabilities into exceptional product experiences. If you excel at merging rigorous engineering with practical application and enjoy fostering the growth of others while tackling challenging technical issues, this role is tailored for you.About the Role:In this position, you will lead and nurture a high-performing team of Machine Learning Engineers and Research Scientists (based in Europe) dedicated to advancing the future of AI on a large scale. Your primary focus will be on establishing strategic technical direction, mentoring team members to deliver impactful engineering solutions, and ensuring the deployment of robust, scalable ML systems into production. You will advocate for engineering excellence and measurable impact, connecting foundational model capabilities with real-world implementation across Canva's platform.This is a hands-on leadership role ideally suited for someone passionate about developing talent, crafting a technical vision, and collaborating across functions to integrate cutting-edge AI into delightful user experiences.Your Responsibilities Will Include:Providing coaching and mentorship to a high-performing team of Machine Learning Engineers and Research Scientists.Overseeing the evaluation infrastructure - designing, building, and maintaining robust evaluation systems, quality metrics, safety monitoring, red-teaming, and competitive benchmarking to ensure enterprise readiness and user satisfaction at scale.Creating automated metrics that consistently predict human aesthetic judgment across dimensions such as visual hierarchy, layout coherence, typography, and brand alignment.Consulting on human evaluation pipelines and closing the feedback loop between user signals and model improvements.Defining technical strategy in alignment with Canva's AI and product objectives.Guiding engineering direction across model deployment, evaluation infrastructure, and production systems.Collaborating across functions to ensure ML capabilities translate into reliable product impact.You May Be A Great Fit If You:Have led machine learning engineering teams with a proven track record of coaching and delivering production systems.Possess deep expertise in deploying and scaling generative models (Diffusion, GANs, VAEs, LLMs) in production settings, particularly emphasizing visual models (image, video, design).Bring hands-on experience in building ML infrastructure, evaluation pipelines, and monitoring systems at scale.Excel in developing data-driven evaluation methodologies that transform user analytics and production metrics into actionable insights.

Spotify is hiring a Machine Learning Engineering Manager in London. This role leads teams working at the intersection of music and technology, focusing on projects that improve Spotify’s music streaming services and increase user engagement. Role overview The Machine Learning Engineering Manager guides engineers and data scientists in developing algorithms and solutions that refine platform performance and user experience. The position involves overseeing project direction and ensuring technical excellence in machine learning initiatives. Collaboration Work closely with a group of skilled engineers and data scientists. The team’s goal is to deliver improvements that directly impact how listeners experience music on Spotify. Location This position is based in London.

About UsFounded in the United States in 2022 and now headquartered in London, UK, Recraft is revolutionizing the creative landscape with its cutting-edge AI tool designed specifically for professional designers, illustrators, and marketers. Our platform sets a new benchmark in image generation excellence.Our innovative tool empowers creators to swiftly generate and refine original images, vector art, illustrations, icons, and 3D graphics using AI technology. With over 3 million users across 200 countries, who have collectively produced hundreds of millions of images, Recraft is just at the beginning of its journey.Join us and explore a universe of professional opportunities! Contribute to large-scale projects and help shape the future of creativity. We are dedicated to making Recraft an indispensable daily tool for every designer, setting the industry standard. Our mission is to enable creators to fully control their creative process with AI, equipping them with innovative tools to turn their ideas into reality.If you are enthusiastic about pushing the boundaries of AI, we welcome you to join our team!

Join datatonic as a Machine Learning Engineer and be part of a dynamic team dedicated to leveraging data to drive intelligent decision-making. You will design and implement machine learning models, optimize algorithms, and collaborate with cross-functional teams to deliver innovative solutions.

Join datatonic as a Senior Machine Learning Engineer and be a pivotal part of our innovative team focused on transforming data into actionable insights. In this role, you will leverage your expertise in machine learning to develop and enhance algorithms, contribute to data-driven solutions, and collaborate with cross-functional teams to push the boundaries of data analytics.

Join Trainline as the Head of Machine Learning Engineering, where you'll lead our innovative machine learning initiatives. In this pivotal role, you will spearhead the development and implementation of advanced ML solutions that enhance our customer experience and optimize our operations.

Join Our Team as a Staff Machine Learning EngineerBecome an integral part of Deliveroo’s mission to revolutionize the shopping and dining experience with a focus on impact, innovation, and growth. Our talented Engineering teams tackle intricate technical challenges within a global, three-sided marketplace, developing and scaling systems that cater to millions of customers, riders, and partners daily.From advanced real-time logistics to robust infrastructure and marketplace optimization, we create and manage the technology that fuels Deliveroo’s expansive growth.We are seeking a Staff Machine Learning Engineer to join our dynamic London team (working in a hybrid model, 3 days in the office). In this pivotal role, you will design and construct intelligent decision-making systems that operate at a large scale, directly influencing the experiences of consumers, riders, and merchants.Explore our Engineering team and discover our motivations, work culture, and what you can expect as part of our community.Your ResponsibilitiesJoin the Consumer Pricing team to tackle complex pricing challenges at Deliveroo. We are advancing towards dynamic, personalized pricing strategies that take into account consumer behavior, loyalty programs, and real-time market conditions.Your daily tasks will include:Designing and developing high-performance machine learning and optimization systems that guide Deliveroo’s core decisions at scale.Leading the technical advancement of our pricing infrastructure, resolving architectural bottlenecks and integrating enhanced model inputs and decision variables.Creating algorithms to enhance real-time marketplace efficiency, including personalized elasticity models and delivery time forecasts.Collaborating closely with Product Managers and Data Scientists to convert complex business challenges into effective algorithmic solutions.Providing technical leadership across various product domains, identifying and prioritizing high-impact algorithmic enhancements.Mentoring and guiding fellow engineers, elevating technical standards and advancing our machine learning and optimization practices across the company.Qualifications for SuccessThe ideal candidate will possess strong expertise in several of the following areas, along with a desire to grow in others:

Join Faculty as a Machine Learning Engineer and be at the forefront of innovation in artificial intelligence. In this role, you will leverage your expertise in machine learning to develop and implement cutting-edge algorithms and models that drive impactful solutions across various industries.As a part of our dynamic team, you will work collaboratively to transform complex data sets into actionable insights, optimizing our products and enhancing client offerings. If you are passionate about technology and eager to make a difference, we would love to hear from you!

About AnthropicAt Anthropic, we are dedicated to developing reliable, interpretable, and controllable AI systems. Our goal is to ensure that AI technology is safe and beneficial for both users and society. Our rapidly expanding team consists of passionate researchers, engineers, policy experts, and business leaders collaborating to create advantageous AI systems.About the TeamsThe Reinforcement Learning teams at Anthropic spearhead our research and development in reinforcement learning, playing an essential role in enhancing our AI systems. We have made significant contributions to all Claude models, particularly impacting the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work encompasses several critical areas:Creating systems that empower models to utilize computers effectively.Enhancing code generation through reinforcement learning techniques.Conducting pioneering RL research for large language models.Establishing scalable RL infrastructure and training methodologies.Improving model reasoning capabilities.We work closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and secure. Additionally, we collaborate with the applied production training team to seamlessly integrate research advancements into deployed models, demonstrating our commitment to implementing research at scale. Our Reinforcement Learning teams operate at the intersection of cutting-edge research and engineering excellence, dedicated to building high-quality, scalable systems that expand the possibilities of AI.About the RoleAs a Research Engineer in the Reinforcement Learning domain, you will partner with a diverse group of researchers and engineers to enhance the capabilities and safety of large language models. This position merges research and engineering responsibilities, requiring you to implement innovative approaches while contributing to the research strategy. You will engage in fundamental research in reinforcement learning, developing 'agentic' models capable of tool use for open-ended tasks such as computer usage and autonomous software generation, improving reasoning skills in disciplines like mathematics, and creating prototypes for internal applications, productivity, and evaluation.Representative Projects:Design and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters, scaling our systems to manage increasingly complex research workflows.Invent, implement, and evaluate novel training environments, evaluations, and methodologies for reinforcement learning.

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 services through cutting-edge algorithms and data-driven solutions.

Moonpig Group brings together well-known brands such as Moonpig, Greetz, Red Letter Days, and Buyagift. The company focuses on helping people connect and celebrate through thoughtful online gifting and personalized experiences. With a strong presence in the online gifting sector, Moonpig Group uses technology and creativity to make every occasion special, whether customers are near or far. The team values collaboration and aims to deliver memorable moments through every product and service. Role Overview The Group Head of Supply Chain (Transformation) is a 12-month interim role based in London. Some travel within the UK and to the Netherlands is required. This position sits at the heart of Moonpig Group’s supply chain strategy, focusing on integration and transformation across all brands. What You Will Do Lead the integration of supply chain operations into a unified Group function. Drive improvements in operational efficiency and streamline supply chain processes. Enhance performance in availability and stock management, especially in preparation for peak seasons. Work closely with the COO and cross-functional teams to shape the future of supply chain operations. Create a scalable supply chain model that supports both current markets and future growth. Location This role is based in London and involves travel across the UK and the Netherlands.

Join Raising Cane's as the Director of Supply Chain Operations in London! In this pivotal role, you will oversee all aspects of supply chain management, ensuring efficiency and effectiveness in purchasing, logistics, and inventory management.Your expertise will help shape our supply chain strategy, optimizing processes and driving performance improvements. You will lead a team dedicated to excellence, fostering a culture of continuous improvement and innovation.

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

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.

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.

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.