Lead Machine Learning Engineer

Join Faculty as a Lead Machine Learning Engineer to spearhead innovative machine learning projects that drive impactful solutions. In this pivotal role, you will lead a team of engineers and data scientists, harnessing your expertise to develop and implement cutting-edge machine learning models.As a key contributor, you will collaborate closely with cross-fu…

Join our dynamic team at Faculty as a Lead Machine Learning Engineer. In this pivotal role, you will spearhead innovative machine learning projects while mentoring a talented team of engineers. You will be responsible for designing cutting-edge algorithms and developing scalable models to solve complex business challenges.The ideal candidate will possess a deep understanding of machine learning frameworks, proficiency in programming languages such as Python or R, and a passion for pushing the boundaries of technology. You will collaborate closely with cross-functional teams to ensure the successful implementation of machine learning solutions.

Join us at Zaizi and contribute to transformative public sector initiatives that positively impact lives. We excel in addressing intricate challenges with innovative strategies and cutting-edge technologies.As a Lead Machine Learning Engineer specializing in AI, you will spearhead research, development, and testing of state-of-the-art AI algorithms, models, and technologies that empower businesses to automate processes and derive valuable insights from their data.Your primary responsibilities will encompass building sophisticated models, architecting and managing MLOps pipelines for CI/CD, as well as monitoring and retraining models. You will also mentor junior team members, influence technical decisions, and tackle complex, non-routine challenges.Our workplace promotes inclusivity, modernity, friendliness, and democracy. We seek bright, optimistic individuals who embrace challenges to excel in their roles. If you identify with this ethos, we would love to have you on our team!

Step into the future of artificial intelligence with Runware as a Senior Machine Learning Engineer, where you will spearhead the development of groundbreaking AI solutions across multiple media formats, including text, images, videos, 3D, and audio. Our innovative AI media creation platform is designed to transform the landscape of content generation.In this pivotal role, you will oversee essential projects, managing the complete lifecycle from research and experimentation through to production deployment and performance evaluation. Your contributions will be instrumental in enhancing the capabilities of our platform and improving the experiences of users who rely on our state-of-the-art AI technologies.Key ResponsibilitiesIntegrate open-source and third-party models into our inference platform.Lead fine-tuning initiatives including LoRA, adapters, PEFT, and domain adaptation.Optimize inference workloads focusing on latency, batching, memory efficiency, and throughput.Benchmark model quality against cost and performance across various modalities.Enhance inference startup times and stability under heavy load.Develop evaluation frameworks and internal tools for model validation.Collaborate closely with Infrastructure and Backend teams to create scalable serving systems.Monitor production performance and drive continuous optimization efforts.Mentor junior engineers and elevate the ML engineering standards within the team.

Wise seeks a Lead Machine Learning Engineer / Scientist based in London. This role centers on developing and refining machine learning models and algorithms that help drive data-informed decisions throughout the company. What you will do Build and enhance machine learning models to support Wise’s products and services. Collaborate with teams from various disciplines to deliver scalable, effective solutions. Apply advanced algorithms to improve decision-making and strengthen product offerings. Collaboration This position involves working closely with colleagues across the business, bringing together expertise from different areas to solve complex challenges and deliver impactful results.

Why Join Faculty?Founded in 2014, Faculty was established with the belief that artificial intelligence (AI) would be the defining technology of our era. Since then, we have partnered with over 350 global clients to enhance their operations through human-centric AI solutions. Discover our real-world impact here.We focus on genuine innovation rather than fleeting trends. Our team excels in creating and implementing responsible AI that delivers substantial results. We offer unmatched expertise in technical, product, and delivery aspects to a diverse clientele, including sectors such as government, finance, retail, energy, life sciences, and defense.As our business and reputation continue to expand rapidly, we seek individuals who share our passion for intellectual exploration and our commitment to creating a lasting positive legacy through technology.Join us at the forefront of AI technology, where you will have the autonomy to conceptualize its most impactful applications and bring them to life.About Our TeamOur Retail and Consumer team is committed to assisting clients in an industry that is being revolutionized by new technologies and shifting consumer expectations. With over a decade of experience in Applied AI, we blend exceptional technical and delivery skills to enable businesses to adapt and flourish.The RoleAs a Lead Machine Learning Engineer, you will take charge of the technical direction and execution of intricate, cutting-edge AI projects. You will serve as a technical authority, applying your expertise across diverse projects from AI strategy formulation to client-side implementations, while ensuring robust architectural decisions.This role requires a mix of advanced technical skills and leadership capabilities, emphasizing innovation, team development, and the creation of reusable solutions throughout the organization. If you are prepared to manage high-stakes projects and deliver practical, innovative results, this is your opportunity to influence our future.Your ResponsibilitiesEstablishing the technical trajectory for complex ML projects, managing trade-offs, and directing team priorities.Designing, implementing, and sustaining reliable, scalable ML/software systems while justifying crucial architectural choices.

Join sona as a Senior Machine Learning Engineer, where you will play a pivotal role in developing cutting-edge machine learning models to drive innovation and enhance our products. You will collaborate with cross-functional teams to leverage data and create impactful solutions that meet our customers' needs. Your expertise will guide the design and implementation of algorithms, ensuring high performance and scalability.

We are seeking a highly skilled Technical Lead in Machine Learning to join our innovative team at bjakcareer. As a leader in this field, you will be responsible for guiding our machine learning projects, ensuring the highest standards of development and execution. Your expertise will play a crucial role in shaping our AI-driven solutions, enabling us to deliver top-notch services to our clients.

Faculty, founded in 2014, focuses on using artificial intelligence to bring about meaningful change for clients worldwide. The company’s mission centers on developing responsible, human-centric AI solutions that have a real impact across sectors such as government, finance, retail, energy, life sciences, and defense. Faculty’s team brings strong technical, product, and delivery skills, working with over 350 global clients. More about their impact can be found here. Faculty values innovation that lasts, aiming to deliver AI that makes a genuine difference rather than following short-lived trends. The organization looks for people who share a curiosity for technology and a desire to leave a positive legacy. Division focus The Energy, Transition, and Environment team leads Faculty’s work in the clean energy sector. This division partners with major energy providers, GreenTech startups, and national infrastructure bodies to accelerate the move toward net-zero emissions and improve efficiency for utility companies. The team’s projects aim to deliver measurable, sustainable results through responsible AI use. Role overview The Lead Machine Learning Engineer will set technical direction and ensure the successful delivery of complex AI projects. This role involves shaping AI strategies, overseeing client implementations, and making key architectural decisions. The position combines deep technical expertise with leadership, fostering team growth and building reusable solutions across the company. What you will do Guide technical strategy for AI initiatives within the Energy, Transition, and Environment division Oversee project execution from initial strategy through client delivery Make architectural decisions to ensure reliability and scalability Mentor team members and support their development Contribute to reusable solutions that benefit the wider organization

Join our dynamic team as a Lead Machine Learning Engineer at Faculty, where you will spearhead innovative machine learning projects that drive impactful solutions. You will collaborate closely with cross-functional teams to design, develop, and deploy cutting-edge machine learning models that enhance decision-making processes. Your expertise will guide our data-driven initiatives, ensuring we remain at the forefront of technological advancement.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of AI innovation, believing it to be the pivotal technology of our era. With a diverse portfolio of over 350 global clients, we are committed to enhancing performance through human-centric AI solutions. To learn more about our impactful work, click here.We prioritize innovation over fleeting trends, focusing on the development and deployment of responsible AI that drives tangible results. Our expertise in technical, product, and delivery aspects empowers clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business and reputation expand rapidly, we actively seek individuals who share our intellectual curiosity and ambition to leave a positive technological legacy.AI is a transformative force; join us to explore its most powerful applications and make them a reality.About Our TeamOur Energy, Transition, and Environment unit is leading the way in advancing the clean energy revolution. We aim to expedite the shift toward net-zero emissions and enhance efficiencies for the next generation of utility companies.We believe that the responsible and intelligent utilization of AI is essential for achieving our mission. Collaborating with a variety of clients—from major energy operators to GreenTech startups and national infrastructure providers—we create solutions that yield measurable impact, steering us toward a smarter, cleaner, and more sustainable future.Role OverviewAs a Lead Software Engineer focused on Machine Learning, you will guide the technical direction and execution of sophisticated AI projects. Your role will encompass serving as a technical authority, applying your expertise across numerous projects, from client-side deployments to strategic AI advisory, ensuring that architectural choices are robust and dependable.This position requires a blend of advanced technical skills and effective leadership, emphasizing innovation, nurturing team development, and crafting reusable solutions throughout the organization. If you are prepared to manage complex projects and deliver practical, innovative results, this is your opportunity to influence our future.Key Responsibilities:Establishing the technical direction and overseeing the development of AI projects.Leading a team of engineers, providing mentorship and fostering a collaborative work environment.Ensuring best practices in software development and design principles are adhered to.Engaging with clients to understand their needs and translating them into technical solutions.

Join bjakcareer as a Principal Machine Learning Engineer and take the lead in shaping innovative solutions that leverage machine learning and artificial intelligence. You will work with a talented team of engineers and data scientists to develop cutting-edge applications that solve real-world problems. If you are passionate about machine learning and want to make a significant impact in your field, we want to hear from you!

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.