Senior Machine Learning Engineer II

PlayStation, part of Sony Interactive Entertainment and a subsidiary of Sony Group Corporation, is known worldwide for its impact on entertainment. The PlayStation lineup includes PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and a collection of titles from PlayStation Studios. The company values inclusion and diversity, working to foster an environment where employees feel empowered. Those interested in innovation, technology, and gaming are welcomed to explore opportunities within the global PlayStation community. Role overview The Visual Computing Group (VCG) at PlayStation is hiring a Senior Manager of Machine Learning in London, United Kingdom. This leadership role guides research and development in neural networks and machine learning to influence the future of gaming and live streaming. VCG develops and implements advanced machine learning strategies to enhance game rendering and streaming systems for Sony Interactive Entertainment. The team’s work targets improvements in runtime efficiency, visual quality, and latency. With the recent acquisition of Cinemersive Labs, VCG has expanded its machine learning projects and ambitions.

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.

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 Product Manager specializing in Machine Learning and Subscriptions Growth. In this pivotal role, you will drive innovative product strategies and enhancements that optimize user experiences and increase subscription rates. Collaborate with cross-functional teams to leverage data-driven insights, ensuring our product offerings align with market trends and user expectations.Your leadership will guide product development from conception through execution, fostering a culture of innovation and excellence. If you're passionate about music, technology, and shaping the future of our platform, we want to hear from you!

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.

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.

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

Exciting News! We're thrilled to announce that we've successfully raised $60 million in our Series B funding round, achieving a valuation of $685 million. Learn more about this significant milestone here. At Lawhive, our mission is clear: to democratize access to legal services for everyone. The legal landscape is often hindered by outdated technologies and practices, which is why we've fundamentally reimagined the model, leveraging our proprietary AI operating system as the foundation.As a regulated law firm, Lawhive integrates cutting-edge AI technology to enhance legal expertise and revolutionize the practice of law, delivering outstanding outcomes for both clients and legal professionals.Our innovation hub, Lawhive Labs, embodies this vision. Here, we unite elite engineers, designers, AI specialists, and legal experts from across the globe to shape the future of law.With the backing of prestigious investors like Google Ventures, Balderton Capital, and TQ Ventures, we are poised for international expansion following our recent funding success. Having launched in the US in 2025, we are only at the beginning of our journey.Engineering at LawhiveOur engineering team of 40 talented individuals is dedicated to architecting, developing, and maintaining Lawhive's platform, which is trusted by numerous legal professionals daily across the UK, US, and beyond.In the coming year, we are committed to addressing numerous challenges, particularly:Enhancing the user experience for AI interactions within legal practice, moving beyond conventional chat interfaces to pioneering new methods of human-machine engagement.Integrating modularity and international adaptability into our platform as we build the world’s first global consumer law firm.Our approach to legal services is holistic; we are not just developing software, we are an AI-driven law firm.

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 Synthesia, the world's premier AI video platform used by over 90% of the Fortune 100 companies. Since our inception in 2017, we have established our headquarters in London and expanded our reach across Europe and the United States.As artificial intelligence continues to revolutionize our daily lives and workplaces, Synthesia is at the forefront of developing innovative products that enhance visual communication and foster enterprise skill development, enabling people to excel and remain pivotal in thriving organizations.Following our recent Series E funding round, where we successfully raised $200 million, our company valuation has soared to $4 billion, with total funding surpassing $530 million from esteemed investors such as Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside founders and operators of leading firms like Stripe, Datadog, Miro, and Webflow.We are seeking a talented Senior Machine Learning Platform Engineer to become a vital part of our ML Platform team.In this role, you will be responsible for building and maintaining the systems that empower researchers and product teams to train, serve, and deploy generative models efficiently and reliably. Your responsibilities will span research infrastructure, production serving systems, internal tooling, and the platform interfaces that unify them. A key focus will be on enhancing the automation and agent-oriented capabilities of these systems, allowing workflows to be executed through dependable tools rather than manual processes.We are looking for a well-rounded engineer with a systems-oriented mindset:Someone who has experience in infrastructure, backend systems, and tooling, and has practical exposure to ML systems.This is not a conventional ML Engineer position. We seek individuals who are deeply invested in reliability, scalability, performance, and resource efficiency within complex production settings.This is a hands-on senior individual contributor role with significant ownership over how our ML platform evolves as we scale the number of models, workloads, tools, and teams that depend on it.Key ResponsibilitiesDesign and enhance the platform systems supporting model training, evaluation, and production serving.Construct infrastructure and tools that bolster the reliability, scalability, and cost-effectiveness of ML workloads.Develop internal tools and workflows that are user-friendly for both human operators and automated agents.Collaborate on the architecture that governs the deployment, serving, and operation of models across research and production environments.

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.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. With over 350 global customers, we have consistently demonstrated how human-centric AI can transform organizational performance. Discover our real-world impact here.We steer clear of fleeting trends and instead focus on innovating, constructing, and deploying responsible AI that delivers tangible results. Our extensive expertise spans technical, product, and delivery aspects, serving clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.As our company and reputation continue to expand rapidly, we are eager to find individuals who share our intellectual curiosity and ambition to create a meaningful legacy through technology.Join us in harnessing AI's potential to craft powerful applications that can change the world.About Our TeamAt Faculty, our Life Sciences team focuses on developing AI solutions that streamline the research and commercialization processes for groundbreaking therapies. We collaborate with leading pharmaceutical companies, academic institutions, and MedTech startups to create solutions that address pressing healthcare challenges and promote equitable health access.Your Role:As a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for our varied clientele. Your responsibilities will include designing, building, and implementing scalable, production-ready ML software and infrastructure that adheres to stringent operational and ethical standards.This dynamic, cross-functional role requires a unique combination of technical skills, engineering leadership, and client engagement capabilities.Key Responsibilities:Lead the technical scoping and architectural decisions for impactful ML systems.Design and construct production-grade ML software, tools, and scalable infrastructure.Establish and apply best practices and standards for deploying machine learning effectively.

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!

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the pivotal technology of our age. We have partnered with over 350 global clients, enhancing their performance through innovative, human-centric AI solutions. Discover our real-world impact here.At Faculty, we prioritize sustainable innovation over fleeting trends. Our focus is on developing and deploying responsible AI solutions that truly make a difference. Our expertise spans various sectors, including government, finance, retail, energy, life sciences, and defense, providing our clients with unparalleled technical, product, and delivery proficiency.As our reputation grows, we seek individuals who are intellectually curious and eager to leave a positive mark through technology.Join us in harnessing AI's transformative potential and be a part of a company that empowers you to realize its most impactful applications.About the TeamOur Defence team is dedicated to creating and implementing human-centered AI solutions that enhance our national defense capabilities. Collaborating closely with clients, we deliver ethical and advanced AI solutions for high-stakes scenarios, ensuring the stability of global powers crucial to our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and are expected to work on-site with clients for 2 to 4 days a week, which may involve travel across the UK. When not engaged with clients, you will have the flexibility to work from our London office or remotely within the UK.About the RoleAs a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for a diverse range of clients. Your responsibilities will include designing, building, and deploying scalable, production-grade machine learning software and infrastructure that adhere to stringent operational and ethical standards.This role is ambitious and cross-functional, requiring a unique combination of technical acumen, engineering leadership, and strong client-facing abilities.

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!

At G MASS Consulting, we proudly support a prestigious Audit and Advisory firm in their quest for innovation and excellence. We are seeking a Senior Machine Learning Engineer who will play a pivotal role in refining and expanding their pricing technology. In this influential role, you will be responsible for designing and managing machine learning platforms that enhance pricing workflows, facilitate quick model deployment, and ensure dependable model performance at scale. You will collaborate closely with our Data Science, Actuarial, and Product teams to drive impactful results.