226 to 250 of 338 Remote Machine Learning Engineer Jobs

Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation … of speech and audio intelligence products. We're looking for a Machine Learning Engineer who enjoys solving complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speech recognition … teams to bring state-of-the-art models into production. Develop scalable pipelines for model training, evaluation, and deployment. Apply techniques like self-supervised learning, transformers, or diffusion models to real-world audio data. Analyze and clean large-scale voice datasets (structured and unstructured). Monitor and improve inference More ❯

Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation … of speech and audio intelligence products. We're looking for a Machine Learning Engineer who enjoys solving complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speech recognition … teams to bring state-of-the-art models into production. Develop scalable pipelines for model training, evaluation, and deployment. Apply techniques like self-supervised learning, transformers, or diffusion models to real-world audio data. Analyze and clean large-scale voice datasets (structured and unstructured). Monitor and improve inference More ❯

Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation … of speech and audio intelligence products. We're looking for a Machine Learning Engineer who enjoys solving complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speech recognition … teams to bring state-of-the-art models into production. Develop scalable pipelines for model training, evaluation, and deployment. Apply techniques like self-supervised learning, transformers, or diffusion models to real-world audio data. Analyze and clean large-scale voice datasets (structured and unstructured). Monitor and improve inference More ❯

Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation … of speech and audio intelligence products. We're looking for a Machine Learning Engineer who enjoys solving complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speech recognition … teams to bring state-of-the-art models into production. Develop scalable pipelines for model training, evaluation, and deployment. Apply techniques like self-supervised learning, transformers, or diffusion models to real-world audio data. Analyze and clean large-scale voice datasets (structured and unstructured). Monitor and improve inference More ❯

Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation … of speech and audio intelligence products. We're looking for a Machine Learning Engineer who enjoys solving complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speech recognition … teams to bring state-of-the-art models into production. Develop scalable pipelines for model training, evaluation, and deployment. Apply techniques like self-supervised learning, transformers, or diffusion models to real-world audio data. Analyze and clean large-scale voice datasets (structured and unstructured). Monitor and improve inference More ❯

Social network you want to login/join with: Founding Machine Learning Engineer, slough col-narrow-left Client: Opus Recruitment Solutions Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 1 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job … Description: ? Machine Learning Engineer – Founding Team | Stealth AI Startup (Audio + Generative Models) Location: London (Hybrid) | Full-time | Competitive Salary + Equity A well-funded, early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their … PhD in a relevant field (e.g., Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable More ❯

Team: Our team plays a pivotal role in enhancing the capabilities and efficiency of our advanced AI systems. We design solutions that enable our machine learning models to scale seamlessly and perform optimally in real-world applications and large scale research. Collaborating across InstaDeep, we directly impact projects … in diverse fields including Life Sciences, Logistics, Chip Design, and Quantum ML. The Role: We seek a highly skilled Machine Learning Engineer with a passion for tackling the challenges of large-scale ML development. You'll play a vital role in making our ambitious AI solutions a … hardware, and love diving deep into algorithm optimisation, this is the position for you. Responsibilities Scaling Expertise: Design and implement strategies to efficiently scale machine learning models across diverse hardware platforms (GPU/TPU). Performance Optimisation: Analyse and profile ML systems under heavy load, pinpointing bottlenecks, and More ❯

of this mission, developing AI-driven solutions that make food logging effortless—just by using a camera! If you're passionate about cutting-edge machine learning, building impactful products, and solving real-world problems, this is the role for you. About The Role We're looking for an … Lead Machine Learning E ngineer to join our team of ML engineers and data scientists, helping to scale our product to millions of users, and working on some complex technical problems. You'll be tackling a range of challenges that will require analytical thinking and keen instincts , as … accuracy and efficiency. Work with our platform team and collaborate on hosting, availability and scale challenges Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow. Solve complex backend problems while collaborating closely with product managers and UX More ❯

Machine Learning Engineer Salary: £65,000 – £80,000 Location: Central London – 1 day per week in the office We are currently recruiting a Machine Learning Engineer to join a global publishing company. Producing high-quality educational resources, they are publishing impactful research that has … Work with cross-functional teams to deliver production level ML/AI solutions. Implement MLOps with a focus on versioning and data security. Champion Machine Learning across the business. Mentor junior members of the team. Benefits £65,000 – £80,000 Profit share bonus Company doctor WFH allowance Skills More ❯

AI-powered automation tools —reimagining how complex, manual work gets done in the financial services world and beyond. They’re now looking for a Machine Learning Engineer to help design and build intelligent systems that make that future a reality. This is a full-time hybrid role … high-performing, ambitious team backed by leading investors Opportunity to shape intelligent products from the ground up This is a great opportunity for a machine learning engineer or backend AI developer who wants to work on high-impact, production-ready AI tools at the edge of innovation. … Information and Media, and Information Services Referrals increase your chances of interviewing at Digital Waffle by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. Waltham On The Wolds, England, United Kingdom 3 days ago Derby, England, United Kingdom 3 weeks ago Derby, England More ❯

Senior Machine Learning Engineer Remote (UK only) Up to £120,000 + equity **ideally you'll possess a degree in Computer Science/Mathematics (or similar) from a top university and/or have worked for an AI native or AI focussed business. Better Placed Tech has … institutions on the globe. They’re working on cutting edge technologies that are revolutionizing the AI landscape. Now is the time for another ML Engineer to come on board and be a key part of the UK team. This role is fully remote, but it would be good if … you are open to travelling to Silicon Valley 1-2 times per year for collaboration. The Job You’ll be a talented, motivated ML Engineer with either a top Uni degree in Maths/CS and 2-5 years’ experience in a native AI start up. As a key More ❯

Get started with your online application Not quite your dream role? Sign up to get notified when the right vacancy comes along. Senior Machine Learning Engineer The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the … highest quality human and machine decision-making. We have over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams. We have a strong, active data science community, with guest lecturers; a robust technical review process … our marketplace (consumer, delivery, restaurants, grocery, and retail). Our interview process is team-agnostic. As an MLE, you will develop the algorithmic and machine-learning systems that power Deliveroo. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We aim for AI to be safe and beneficial for users and society. Our team is a growing group of researchers, engineers, policy experts, and business … leaders working together to build beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, enhancing reasoning abilities … in areas like code generation and mathematics, and exploring reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling complex, open More ❯

Data Analytics and Machine Learning Engineer LOCATION: NI/Hybrid About StormHarvester: Our software solutions solve problems for water utilities. We use data, analytics, and machine learning to deliver insights to water networks and assets through SAAS and cloud-based services. We are expanding our … and SLAs Current use of live predictive models to alert and raise alarms for sites and customers 3+ years of experience involving data analytics, machine learning models and AI principles and application in implementation and practical delivery. Experienced in Python development and tooling including Pandas, Scikit-learn or … Science, Software Engineering, Data Science or other related discipline. Experience with data exploration and visualisation. A theoretical and practical foundation of core analytics and machine learning principles and experience working with large scale data. Strong presentation and communication skills. Willingness to engage and work with others as part More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed … researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models … through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create More ❯

Lead Machine Learning Engineer – LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions that empower our business, mentor others … some of the following: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Minimum 5 years of experience in machine learning projects. At least 2 years in a senior or lead role. Expertise in integrating modern LLMs into production systems. Additional skills include … cloud deployment (preferably Azure), and familiarity with databases and data platforms. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY We foster a team culture of continuous learning, diversity, and openness. Our hybrid work approach emphasizes flexibility and regular in-person interactions. WHO IS RAMBOLL Ramboll is a global firm committed to More ❯

Lead Machine Learning Engineer - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions, mentor others, and foster a culture … some of the following qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in machine learning projects. At least 2 years in a senior or lead role. Proven expertise with modern LLMs in production. Leadership skills: Proven leadership … committed to diversity, inclusion, and a positive culture, focusing on solutions, growth, and mutual support. TEAM CULTURE We prioritize daily idea exchange, support, continuous learning, and diversity. Our hybrid work approach offers flexibility, with regular in-person meetings. ABOUT RAMBOLL Ramboll is a global architecture, engineering, and consultancy firm More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Senior Machine Learning Engineer Department: Data Science & Intelligence Employment Type: Permanent - Full Time Location: London, UK Description Who we are Tripledot Studios is on track to become … to become the most successful games company in the world, and we're just getting started. About the Role Role Overview As a Senior Machine Learning Engineer , you'll significantly advance our machine learning, directly impacting high-profile mobile games. You'll research, prototype, develop … AWS/Google Cloud) for scalable model deployment. Ability to work independently and manage end-to-end ML projects. Experience with recommendation systems, reinforcement learning, or multi-armed bandits highly desirable. Comfortable collaborating to translate business needs into technical solutions. Strong problem-solving skills with a proactive and curious More ❯

Senior Machine Learning Engineer, Ads Conversion Modeling Remote - United Kingdom Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on … because of our passionate and engaged communities. The Ads Conversions Modeling Team is entrusted with the development and maintenance of a diverse set of Machine Learning models that are responsible for predictions regarding user conversions after engaging with Reddit. The creation and enhancement of these models plays a … crucial role in our organization's efforts to optimize advertising effectiveness and drive business growth. We are looking for a motivated engineer that will help us advance our vision. As a diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to More ❯

The User Platform (UP) studio is looking for our first Machine Learning Engineer to help us get better at accomplishing our mission: Connect Users with Spotify and Spotify with its Users. UP is a studio in the SAFE Alliance as part of Spotify's Platform Mission. The … our hundreds of millions of active users Help drive optimisation, testing, and tooling to improve quality Help cross skill our engineering team with the machine learning craft. Be part of an active group of machine learning practitioners in your mission and across Spotify. Who You Are … You have at least 6 years of experience working with ML models at scale. You have a strong background in machine learning, theory, and practice You are comfortable explaining the intuition and assumptions behind ML concepts You have hands-on experience implementing and maintaining production ML systems in More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed … researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models … through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create More ❯

how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. As a senior Machine Learning Engineer specialising in speech recognition, you will play a key role in shaping and implementing strategies for (synthetic or not) data … extraction (addresses, phone numbers, postcodes etc). Develop robust evaluation benchmarks to track improvements in production models Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies Build tooling which allows cooperation between clients/users of the machine learning models and MLEs (data pipelines, automated evaluation, training and deployment routine, AB testing frameworks etc). Collaborate with the legal and compliance team to address any compliance or data privacy-related issues Work closely with product and engineering teams to ensure alignment with business and production goals More ❯

how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. As a senior Machine Learning Engineer specialising in speech recognition, you will play a key role in shaping and implementing strategies for (synthetic or not) data … extraction (addresses, phone numbers, postcodes etc). Develop robust evaluation benchmarks to track improvements in production models Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies Build tooling which allows cooperation between clients/users of the machine learning models and MLEs (data pipelines, automated evaluation, training and deployment routine, AB testing frameworks etc). Collaborate with the legal and compliance team to address any compliance or data privacy-related issues Work closely with product and engineering teams to ensure alignment with business and production goals More ❯

take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning engineer to join our team. If all of this sounds exciting to you, we would love to talk. Note: We are … data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams Create … Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What You Bring To The Table Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable More ❯

brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Fitch Group is currently seeking a Senior Machine Learning Engineer based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and … where you can grow, innovate, and make a difference. About the Team The Fitch Group's AI Implementation Chapter is seeking a seasoned Senior Machine Learning Engineer with 6+ years of experience to drive advanced AI/ML initiatives across the Fitch Ratings organization. In this role … and deployment of ML models and solutions. You May be a Good Fit if: 6+ years of professional experience as an AI/ML engineer, with a strong record of delivering production-quality solutions. Extensive experience in developing and integrating advanced generative AI and ML solutions into existing products More ❯