Senior Machine Learning Engineer

Join Canva as a Senior Machine Learning Engineer specializing in Multimodal Data! In this pivotal role, you will leverage your expertise in machine learning to develop innovative solutions that integrate various data types. Collaborate with cross-functional teams to enhance our product offerings and drive user engagement through advanced AI technologies.

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 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.

About AIONAION is revolutionizing high-performance computing (HPC) through its innovative decentralized AI cloud platform. Our mission is to democratize access to compute resources and provide comprehensive managed services. We are committed to creating an end-to-end AI lifecycle platform that guides organizations from raw data to fully deployed models using our unique forward-deployed engineering approach.As AI continues to reshape industries worldwide, the demand for computational power is unprecedented. AION positions itself as the key player in handling dynamic compute workloads by establishing integration bridges with diverse global data centers and reimagining the compute stack with cutting-edge serverless technology. We recognize the challenges enterprises face in balancing AI adoption with security and are dedicated to rethinking every aspect of infrastructure, from hardware and network packets to API interfaces.Founded by a team of seasoned entrepreneurs with successful exits, AION is backed by prominent venture capitalists and strategic global partnerships. We are headquartered in the US and expanding our core team in the UK.Who You AreYou are a proactive AI engineer with 3-5+ years of experience in developing production-grade multimodal AI systems and large language model (LLM) applications. Your role resembles that of a hands-on AI startup CTO, working closely in small teams to deliver high-impact customer projects by embedding yourself directly at client sites. You will architect, build, and deploy intelligent agent solutions.You possess a strong ability to write production code, present technical solutions to C-level executives, and troubleshoot complex AI systems in various environments, including factory floors and customer data centers. Your experience includes successfully deploying voice agents, video processing systems, or conversational AI applications. You excel at translating ambiguous business requirements into precise technical solutions that generate measurable impact.You are adept at navigating the entire AI deployment lifecycle, from identifying use cases and designing solutions to developing multimodal agents, implementing MLOps pipelines, and optimizing production. Your understanding of best practices for agent performance in production enables you to systematically enhance quality through observability and evaluation. Familiarity with voice AI platforms, retrieval-augmented generation (RAG) systems, and LLM orchestration frameworks is highly advantageous. You bring outstanding communication skills, customer empathy, and a passion for creating transformative AI solutions for enterprises globally.

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.

About RecraftFounded in the US in 2022 and now thriving in London, UK, Recraft is revolutionizing the creative landscape with an innovative AI tool designed for professional designers, illustrators, and marketers. We are committed to setting a new benchmark in the realm of image generation.Our platform 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 producing hundreds of millions of stunning images, Recraft is just getting started in its journey to redefine creativity.Join us in a world of professional growth, contribute to large-scale projects, and help shape the future of creativity. Our mission is clear: to make Recraft an indispensable tool for every designer and to elevate the industry standard. We are dedicated to ensuring that creators retain full control over their creative processes, providing them with cutting-edge tools to transform their ideas into reality.If you are driven by the passion to push the boundaries of AI, we invite you to join our team!Position OverviewAs a part of Recraft, you will play a pivotal role in developing the next generation of generative models for images and text. We are seeking an ML Data Engineer to enhance our data pipelines for unstructured data, primarily focusing on images. Your work will ensure our training workflows are efficient, reliable, and scalable. You will design and manage high-throughput ingestion and preprocessing on Kubernetes, evolve our internal data-pipeline framework, and collaborate closely with ML engineers to deliver datasets that significantly improve model quality.Key ResponsibilitiesDesign and maintain robust data-ingestion pipelines to source and prepare large-scale datasets of images (and occasionally text/HTML) from open, publicly accessible, and authorized sources.Manage the complete data flow: from raw data to quality filtering, deduplication, validation, and creation of training-ready artifacts. Enhance our Kubernetes-based data-pipeline framework, including distributed job handling, retries, monitoring, and automation.Utilize S3-style object storage for efficient data layouts, lifecycle management, throughput optimization, and cost considerations.Implement additional tools for pipeline observability, including progress tracking, health visualization, performance metrics, and alert systems to facilitate rapid iteration.Collaborate intimately with ML engineers to align datasets with training requirements and expedite experimentation processes.

Veeva Systems Inc. is dedicated to revolutionizing the life sciences sector through innovative cloud solutions, empowering companies to expedite the delivery of therapies to patients. As a trailblazer in the SaaS industry, we achieved over $2 billion in revenue last fiscal year, with vast growth opportunities on the horizon.Our core values, including Doing the Right Thing, Customer Success, Employee Success, and Speed, define our work culture. In 2021, we made history by becoming a public benefit corporation (PBC), which reflects our commitment to balancing the interests of all stakeholders.As a Work Anywhere organization, we foster a flexible work environment that allows you to choose the setting where you work best, whether that is from home or in the office.Join us in transforming the life sciences industry, and making a meaningful impact on our customers, employees, and communities.The RoleIn the Veeva Link team, we are constructing the intelligence framework for the life sciences sector, developing connected data applications that accelerate drug development and improve patient outcomes significantly. Our philosophy is simple: the combination of top-quality data and advanced software drives immense value.Our focus on execution emphasizes speed, accuracy, and quality in our daily endeavors. We apply a well-defined engineering approach to create clear product specifications, leading to precise technical designs. Utilizing a modern tech stack, we deliver inherently reliable applications along with an exceptional user experience.Our work encompasses two essential domains:Data-Driven InsightsWe create advanced applications that map and analyze global scientific and medical expertise, yielding high-impact insights and AI-driven intelligence. Our engineers tackle intricate data modeling, entity resolution, and cutting-edge machine learning challenges.Intelligent Business Workflows

About WheelyWheely is at the forefront of revolutionizing premium transportation across major cities in Europe, the US, and the Middle East. We integrate advanced technology with the art of five-star chauffeuring, providing an experience trusted by over 100,000 active riders and 1,200 corporate partners.As a profitable and rapidly growing scale-up, we have raised $43M and generated over $100M in annual revenue. With our recent expansion into New York City, we are accelerating our growth across the US and EMEA. If you are passionate about your craft and eager to help shape the next phase of our journey, we invite you to connect with us.We are looking for mid-level and senior Data Scientists / Machine Learning Engineers who will take ownership of the entire workflow, from ideation and research to production deployment.Join one of our specialized teams (Mapping, Matching, Pricing, or Supply) to tackle complex and high-impact challenges such as ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving style prediction, and LLM integration.

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.

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!

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.

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 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!

At Intercom, we are revolutionizing customer service through artificial intelligence, empowering businesses to deliver outstanding customer experiences.Our AI agent, Fin, stands as the most sophisticated customer service AI agent available, allowing companies to provide continuous, flawless customer support, ultimately enhancing customer interactions. Fin seamlessly integrates with our Helpdesk to form the Intercom Customer Service Suite—a comprehensive solution that offers AI-augmented assistance for more complex or high-touch inquiries that necessitate human intervention.Since our inception in 2011, Intercom has earned the trust of nearly 30,000 businesses worldwide and is setting a new benchmark in customer service. Guided by our core values, we consistently push boundaries, work with speed and intensity, and deliver exceptional value to our clients.What’s the Opportunity?The Machine Learning team at Intercom is tasked with defining innovative ML features, researching suitable algorithms and technologies, and quickly delivering initial prototypes to our customers.Our team is deeply product-focused, collaborating closely with Product and Design teams. Our dedicated ML product engineers enable rapid transitions to production, often launching beta versions just weeks after successful offline testing.We are passionate about harnessing machine learning technology, having productized everything from traditional supervised models to cutting-edge unsupervised clustering algorithms and novel transformer neural network applications. We rigorously evaluate the real customer impact of each model we deploy.What Will I Be Doing?Identifying opportunities where machine learning can add value for our customers.Defining the appropriate ML framing for product challenges.Collaborating with teammates and stakeholders from Product and Design.Conducting exploratory data analysis and research.Gaining a deep understanding of the problem areas.Researching and selecting the most suitable algorithms and tools.Being pragmatic while pushing the boundaries of innovation when necessary.Performing offline evaluations to validate algorithm effectiveness.Working alongside engineers to transition prototypes into production.Planning, measuring, and sharing insights to guide iterative development.Collaborating closely with the team and others to create exceptional ML products.

Join Spotify as a Senior Machine Learning Engineer specializing in Personalization. In this pivotal role, you will leverage your expertise in machine learning to enhance user experiences and drive engagement through personalized content recommendations. Collaborate with cross-functional teams to design, implement, and optimize state-of-the-art machine learning models that cater to millions of users worldwide.

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.

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.

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.

At Orbital Materials, we harness the power of AI to revolutionize data center hardware, ensuring our products consistently outperform the competition. Our advanced AI simulates materials at the atomic level, allowing us to evaluate millions of hardware configurations in the time it would typically take to assess just hundreds. This innovative approach enables us to discover optimal designs that surpass traditional benchmarks, resulting in hardware specifications that competitors cannot match: 1 MW/rack, PUE As each deployment generates valuable field data, our AI models become increasingly sophisticated. This creates a virtuous cycle where improved models lead to better hardware, which in turn enhances our AI capabilities. We are not merely benefitting from AI advancements; we are actively driving its pace.Our focus on data centers is driven by an urgent market need and demanding specifications. However, the AI-accelerated development processes we've established—spanning materials discovery, hardware design, and manufacturing optimization—are applicable to any complex physical system. Data centers serve as our initial proof point, not the limit of our ambitions.With operations in London, Canada, and the USA, we are assembling teams across various domains including ML research, product development, mechanical engineering, and chemical engineering. If you're eager to work at the intersection of AI and physical sciences, we'd love to hear from you.As a Staff Machine Learning Engineer at Orbital, you will be instrumental in architecting sophisticated AI systems for the multi-scale design of physical technologies. By multi-scale, we mean that we create world-class foundational models capable of simulating everything from the microscopic motion of atoms to the macroscopic flow of liquids in 1GW data centers. You will collaborate across these diverse scales, leveraging the creativity of our scientists and engineers, augmented by premier domain agents.In this pivotal role, you will establish exceptionally high technical standards and lead projects from initial prototypes to full-scale production deployment. We seek individuals who possess a passion for craftsmanship, a commitment to continual learning, and a drive to build scalable systems. Additionally, we value a low-ego mindset and a genuine enthusiasm for leveraging AI to tackle significant global industrial technology challenges.