Machine Learning Engineer at asos | London

asos seeks a Machine Learning Engineer in London to advance technology solutions in online fashion retail. This role centers on building algorithms that enhance both product features and the customer experience. Key responsibilities Design and develop machine learning models for practical use in the retail sector Use data science methods to strengthen asos’s…

ASOS seeks a Machine Learning Engineer in London to focus on recommendation systems. The main responsibility involves developing and refining models that deliver personalized product suggestions to customers. Key responsibilities Design and implement machine learning models that improve the relevance of product recommendations. Translate data insights into practical updates for recommendation algorithms, working alongside team members. Contribute to projects aimed at enhancing the user experience through smarter, more tailored suggestions. Collaboration This role involves partnering with colleagues in data science and engineering to share expertise and strengthen the performance of ASOS’s recommendation systems.

Join Deliveroo as a Machine Learning Engineer and help shape the future of food delivery through innovative technologies. You will be responsible for developing and implementing machine learning models that enhance our services and optimize our operations.In this role, you will collaborate with cross-functional teams to identify opportunities for machine learning applications and work on end-to-end solutions. You will have the chance to work with large datasets, apply advanced analytics, and contribute to impactful projects.

ten-group is hiring a Lead Engineer based in London. This position centers on leading engineering projects and working with teams across the business to create and improve technology solutions. Role overview The Lead Engineer will manage and mentor a group of engineers, providing direction and support to help the team deliver strong results. Collaboration with colleagues from different departments is a key part of the role, as is a focus on designing, building, and refining technical solutions. What you will do Oversee engineering projects from design through implementation Work closely with cross-functional teams to develop and optimize technology Guide and support engineers to maintain high standards in project delivery Requirements Experience leading engineering teams or projects Strong interest in technology and technical problem-solving Comfortable collaborating with diverse teams

Why Join Faculty?Founded in 2014, Faculty believes that AI is the pivotal technology of our era. We have partnered with over 350 global clients to enhance their performance through human-centric AI. Our impact is tangible, as detailed here.We steer clear of fleeting trends. Our focus is on innovating, creating, and deploying responsible AI solutions that yield significant results. We offer clients extensive expertise across technical, product, and delivery domains, serving industries such as government, finance, retail, energy, life sciences, and defense.Our business and reputation are expanding rapidly. We seek individuals who share our intellectual curiosity and aim to build a positive legacy through technology.Join us in harnessing AI—an epoch-defining technology—where you will be empowered to envision and implement its most impactful applications.About the TeamThe process of delivering medical solutions involves complexity, cost, and risk. Faculty’s Life Sciences team is dedicated to developing AI solutions that enhance the research and commercialization of transformative therapies.We collaborate with leading pharmaceutical companies, academic research institutions, and MedTech startups to create solutions that address critical healthcare challenges, democratizing access to health for everyone.About the RoleAs a Machine Learning Engineer, you will deliver tailored, impactful AI solutions for our diverse clientele. You will play a crucial role in transitioning machine learning from theoretical frameworks to practical applications, contributing to robust software architecture and establishing best practices. Collaborating closely with clients and cross-functional teams, you will ensure the technical feasibility and timely delivery of high-quality, production-ready ML systems.Your Responsibilities:Developing and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions to expedite the delivery of ML systems.Working alongside engineers, data scientists, and commercial leaders to address significant client challenges.

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.

PlayStation, part of Sony Interactive Entertainment, has built a reputation for hardware and titles like PlayStation®5, PlayStation®VR, and PlayStation Studios games. The company is committed to diversity and inclusion, aiming to foster an environment where employees can thrive. Those interested in technology and gaming are encouraged to help shape the future of entertainment. This Senior Machine Learning Engineer role is based in London within the Visual Computing Group (VCG). The team drives advanced research and development to enhance gaming and live streaming experiences. The focus is on creating and implementing neural networks and machine learning solutions that improve game rendering and streaming, with an emphasis on runtime efficiency, visual quality, and reduced latency. Main responsibilities Develop and refine generative models for graphics and video processing, supporting live video streaming and game rendering. Research and prototype new methods for graphics or video enhancement, including building data generation pipelines with generative models. Collaborate with colleagues to prepare research publications and file patents. Support core R&D projects in partnership with other teams at Sony Interactive Entertainment. More about the Visual Computing Group can be found at https://sonyinteractive.com/en/news/blog/.

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.

Lead DevOps EngineerJoin our dynamic team at methods, where we are seeking a proactive Lead DevOps Engineer passionate about problem-solving and innovative solution design. This role empowers you to take charge of our delivery platforms and shape the technical direction across various teams and clients. Embrace the unique opportunity to blend hands-on engineering expertise with leadership, mentoring, and stakeholder engagement.As a key player in agile delivery teams, you will significantly influence how DevOps principles are integrated into enterprise environments, driving efficiency and performance.Key ResponsibilitiesOversee the design and enhancement of CI/CD platforms and workflows.Own and resolve complex technical challenges from inception to implementation.Establish and advocate for engineering standards and best practices.Architect Infrastructure as Code solutions tailored for cloud and hybrid platforms.Provide technical guidance within delivery teams.Mentor and nurture the growth of junior and mid-level engineers.Conduct thorough reviews of designs, code, and pipelines.Collaborate closely with architects, product owners, and stakeholders.Effectively communicate trade-offs and decisions.Contribute to roadmap planning and technical strategy.

About SonarSource:SonarSource is committed to ensuring that code quality and security issues do not reach production. Our innovative tools enhance developer productivity through AI collaboration and offer an improved developer experience via streamlined workflows. We analyze all code, whether created by internal teams, AI, or third-party sources, to ensure more secure, reliable, and maintainable applications. Our open-source roots enable us to support over 30 programming languages and technologies, helping more than 7 million developers and 400,000 organizations globally, including industry leaders like the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile.At SonarSource, we are passionate about building exceptional products backed by a strong internal culture and dedicated teams. We uphold high standards, fostering an environment of positivity, accountability, thoughtfulness, empathy, and passion.We are intentional with our decisions and act with urgency, moving forward swiftly while remaining effective and operationally efficient as One Team.At SonarSource, CODE represents more than an acronym; it embodies our operational mindset.

Join Perplexity AI as a Search Machine Learning Engineer Intern, where you will have the opportunity to work alongside industry experts in the field of machine learning and artificial intelligence. This internship is designed to provide hands-on experience with cutting-edge technologies and methodologies in search algorithms and data analysis.

Waymo is an innovative leader in autonomous driving technology, striving to be the most trusted driver globally. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver underpins our fully autonomous ride-hail service and is versatile enough to integrate with various vehicle platforms and applications. With over ten million rider-only trips facilitated and a flawless record of driving over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states, our mission is clear.The DUE ML Core London team is responsible for designing and maintaining robust machine learning systems, simulation workflows, and analytics tools aimed at enhancing evaluation processes and developer onboarding experiences. By merging expert human judgment with state-of-the-art machine learning models, we provide training and evaluation data for a multitude of metrics and components integral to the Waymo Driver.We are seeking passionate researchers and software engineers who are enthusiastic about advancing machine learning techniques for evaluation systems and driving performance enhancements throughout our technology stack.

Waymo, an innovative leader in autonomous driving technology, aims to become the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and reduce traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service, having successfully completed over ten million rides, leveraging extensive experience from over 100 million miles driven on public roads and tens of billions of simulation miles across 15+ U.S. states.The DUE ML Core London team is at the forefront of developing and managing scalable machine learning systems, simulation workflows, and insightful tools aimed at enhancing evaluation processes and developer onboarding experiences. By integrating expert human insights with state-of-the-art machine learning models, we provide critical training and evaluation data across numerous metrics and components that define the Waymo Driver.We are on the lookout for enthusiastic researchers and software engineers eager to innovate ML methodologies for evaluation systems and propel performance enhancements throughout our technology stack.

At Longshot Systems, we develop cutting-edge platforms for sports betting analytics and trading.We are currently seeking experienced Machine Learning Engineers to join our modeling engineering team. In this role, you will collaborate closely with our quantitative research teams to transform prototype trading models into robust, production-ready systems. You will be responsible for designing and building the tooling, frameworks, and data engineering necessary to support strategy research and development, while also architecting high-level designs of the strategy software to minimize trading latency and ensure scalability. Our ML stack is primarily Python-based, incorporating modern ML libraries and tools such as Polars, Ray, and Plotly.The ideal candidate will possess a solid software engineering background, with extensive experience in high-performance computing topics such as multi-threading, networking, profiling, and optimization. Proficiency with the NumPy/SciPy stack is essential, along with experience in performance optimization tools like C++ and Numba. Familiarity with common ML algorithms and techniques is advantageous but not mandatory.As a hybrid working company, we require team members to work in our London (Farringdon) office on Thursdays, while offering flexibility for remote work on other days. Our standard working hours are from 10 am to 6 pm UK time, Monday to Friday, but we encourage flexible schedules to help our team meet their objectives.Interview Process:Introductory Call (30 mins) - Discuss your background and interestsFirst Technical Interview (30 mins) - Live code review and pair programmingSecond Technical Interview (60 mins) - In-depth technical questionsFull Assessment Day (10:30 am to 5 pm) - A programming exercise reflective of actual team tasks

Join the Future of AI at GraphcoreAt Graphcore, we're at the forefront of AI computing innovation. Our team, comprised of semiconductor, software, and AI specialists, is dedicated to building a comprehensive AI compute stack—from cutting-edge silicon to high-performance software and robust data center infrastructure. Backed by the SoftBank Group's substantial long-term investment, we are pioneering essential technologies within the burgeoning SoftBank AI ecosystem. As we expand globally, we invite you to collaborate with some of the brightest minds in the industry to tackle complex challenges and shape the future of artificial intelligence.Position OverviewAs a Senior Machine Learning Engineer on our Applied AI team, you will play a pivotal role in enhancing AI technologies by developing and optimizing machine learning models specifically designed for our advanced hardware. Your work will focus on large-scale systems where performance is paramount. Collaborating closely with our Software Development and Research teams, you will help identify innovative opportunities that set Graphcore's technology apart in the competitive landscape. We are looking for engineers with robust technical skills and a keen understanding of implementing AI models at scale, who are eager to make a significant impact in this rapidly evolving sector.About the TeamThe Applied AI team acts as advocates for our customers, ensuring that we stay abreast of the latest AI models, applications, and software to guarantee that Graphcore's technology integrates seamlessly into the AI ecosystem at scale. We develop reference applications, enhance essential software libraries—such as optimizing kernels for our hardware efficiency—and collaborate with our Research team to explore and publish groundbreaking ideas in areas like efficient computation, model scaling, and the distributed training and inference of AI models across various modalities and applications. If you are passionate about advancing the next generation of AI models on state-of-the-art hardware, we would love to connect with you!

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.

Spotify is looking for a Senior Staff Machine Learning Engineer to join the Content Platform team in London. This position centers on building and refining machine learning models that improve how users experience content on the platform. Role overview In this role, you will guide the development of machine learning systems designed to enhance content delivery and boost user engagement. Collaboration is key: expect to work closely with engineers, product managers, and other specialists from across Spotify to deliver solutions that scale. What you will do Lead the design and implementation of advanced machine learning models for the Content Platform Partner with cross-functional teams to identify and solve complex challenges Drive projects that directly impact how users discover and interact with content Requirements Extensive experience in machine learning engineering Strong background in developing scalable ML solutions Ability to work effectively with diverse teams and stakeholders Demonstrated passion for technology and improving user experiences

About SwapAt Swap, we are revolutionizing the world of agentic commerce through our innovative AI-native platform, which seamlessly integrates backend operations with a cutting-edge storefront experience. Designed for brands eager to sell anything, anywhere, Swap centralizes global operations, enhances intelligent workflows, and enables strategic decision-making with real-time data insights. Our diverse product offerings include solutions for cross-border transactions, tax compliance, returns management, demand planning, and our next-generation storefront, empowering merchants with transparency and confidence in their operations.We are committed to fostering a workplace culture that prioritizes clarity, creativity, and shared ownership as we transform global commerce.About the RoleWe are seeking a dedicated and pragmatic Lead Analytics Engineer to join our Analytics Engineering team, playing a pivotal role in scaling our data infrastructure for a new era at Swap. This leadership position offers significant ownership and the opportunity to directly influence the development and implementation of a modern, scalable data architecture. You will be responsible for leading the creation and upkeep of the data models that drive our business operations, from delivering internal insights for Sales and Finance to providing reliable data sets for our customer-facing systems.We are looking for a hands-on leader who is enthusiastic about steering our high-quality dbt project, defining our analytics vision, and mentoring the team as we expand our data models and capabilities. If you excel in a dynamic, collaborative environment and are eager to make a substantial impact, we would be thrilled to hear from you!Key Responsibilitiesdbt Project Leadership: Spearhead the technical vision, architecture, and expansion of our dbt project, establishing development best practices, CI/CD standards, and ensuring high code quality across the team.Strategic Data Modeling & Architecture: Lead the strategic design and maintenance of a robust, scalable, high-performance core data warehouse (fact and dimension models) that serves as the authoritative source for all critical business functions and data products.Data Governance & Quality: Implement and uphold advanced data quality frameworks, comprehensive testing, PII governance protocols, and documentation standards to ensure data integrity and reliability at scale.Cross-Functional Data Strategy: Act as a vital strategic partner to commercial (Sales, Finance) and product leadership, proactively identifying data opportunities, translating complex business objectives into actionable engineering requirements, and managing the delivery roadmap.

Why Join Faculty?Founded in 2014, Faculty believes that Artificial Intelligence (AI) is the defining technology of our era. Since our inception, we have partnered with over 350 global clients to elevate their performance through human-centric AI solutions. Discover our tangible impact here.We prioritize innovation over fleeting trends. Our commitment is to design, build, and deploy responsible AI that delivers significant results. Our team possesses unmatched technical, product, and delivery expertise, catering to clients across various sectors including government, finance, retail, energy, life sciences, and defence.As our business and reputation expand rapidly, we are eager to find individuals who share our intellectual curiosity and passion for leveraging technology to create a positive legacy.Join us and be part of a revolution in AI, where you will be empowered to envision and realize its most impactful applications.About Our TeamOur Defence team specializes in developing and integrating human-centered AI solutions that provide our country with a competitive advantage in the defence arena. We work closely with our clients to implement ethical, dependable, and state-of-the-art AI in high-stakes environments, helping to maintain the global balance of power critical to our freedom.Due to the sensitive nature of our Defence projects, candidates must be eligible for UK Security Clearance (SC) and be comfortable working on-site 2 to 4 days per week, which may involve travel to various locations across the UK.When not engaged with clients, you’ll enjoy the flexibility of working either from our London office or remotely within the UK.#LI-PRIORole OverviewWe invite you to join our team as a Machine Learning Engineer, where you will create bespoke, impactful AI solutions for our diverse clientele.You will play a crucial role in transitioning machine learning from theoretical frameworks to practical applications, contributing to scalable software architecture and establishing best practices. Collaborating with clients and cross-functional teams, you will ensure the technical feasibility and timely delivery of high-quality, production-ready ML systems.Key Responsibilities:Developing and deploying production-grade ML software, tools, and infrastructure.Collaborating with cross-functional teams to ensure project success and quality.Maintaining best practices in software development and machine learning methodologies.

Machine Learning EngineerAbout UsAt ClaimSorted, we revolutionize the claims management process for insurers through our comprehensive Third-Party Administration (TPA) services, tapping into a $200 billion market. Our robust in-house claims team, combined with our cutting-edge AI-enabled platform, enables us to process claims up to three times faster, offering superior service and economic benefits to insurers.Our esteemed investors, including Y Combinator, Atomico, and Eurazeo, have helped us secure over $15 million in funding. Currently, we manage claims exceeding $100 million in insurance premiums across more than 30 Managing General Agents (MGAs), including several publicly traded companies. Our ambitious target is to scale our operations to $1 billion and establish ourselves as the leading TPA in the industry.The RoleAs a Machine Learning Engineer, you will be instrumental in developing the AI platform that drives insurance claims, providing essential support during some of life’s most challenging moments. Collaborating with insurance specialists, you will transform traditional claims processes into efficient AI-driven workflows and deploy scalable machine learning solutions.Design and implement AI systems that enhance accuracy, expedite assessments, and improve the customer experience.Collaborate with insurance experts to convert claims processes into automated AI workflows.Deploy machine learning solutions at scale to optimize operations.Contribute to building the engineering team and shaping our technical culture from the ground up.Work closely with company founders and gain insights on scaling a startup from initial stages to success.This is a full-time, office-based position in our London office, where we thrive on collaboration and high-intensity work. Our team often dedicates additional hours, including weekends, as we believe that exceptional outcomes stem from thorough effort and dedication.