Alameda, California, United States Hybrid / WFH Options
Koda Staff
MachineLearningEngineer - 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 MachineLearningEngineer 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, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research 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 performance in real-time audio systems. What We're Looking For 2-6 years of More ❯
Sunnyvale, California, United States Hybrid / WFH Options
Koda Staff
MachineLearningEngineer - 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 MachineLearningEngineer 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, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research 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 performance in real-time audio systems. What We're Looking For 2-6 years of More ❯
Fremont, California, United States Hybrid / WFH Options
Koda Staff
MachineLearningEngineer - 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 MachineLearningEngineer 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, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research 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 performance in real-time audio systems. What We're Looking For 2-6 years of More ❯
Santa Rosa, California, United States Hybrid / WFH Options
Koda Staff
MachineLearningEngineer - 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 MachineLearningEngineer 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, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research 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 performance in real-time audio systems. What We're Looking For 2-6 years of More ❯
Santa Clara, California, United States Hybrid / WFH Options
Koda Staff
MachineLearningEngineer - 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 MachineLearningEngineer 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, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research 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 performance in real-time audio systems. What We're Looking For 2-6 years of More ❯
Get AI-powered advice on this job and more exclusive features. Software Development & Data Specialist @ Jackson Hogg Responsibilities The MachineLearningEngineer will investigate, implement, and develop novel algorithms using machinelearning techniques. They will analyze data from various sources, both internal and external, create pipelines and algorithms to simulate and augment both real and … synthetic data, and develop custom ML algorithms to address detection challenges. The role involves using a variety of ML techniques, including deep neural networks. The engineer will deepen their understanding of the scientific principles behind the data by collaborating with relevant subject matter experts such as bioinformaticians and detector physicists when necessary. They will be responsible for writing high … quality software, taking ownership of specific areas of the codebase, and collaborating closely with other developers and scientists. Qualifications & Skills: A good understanding of modern machinelearning techniques A good foundation of coding practices, preferably in Python A reasonable proficiency with Python Proficiency with PyTorch or TensorFlow A critical mindset and understanding of scientific principles Ability to work More ❯
London, England, United Kingdom Hybrid / WFH Options
Brio Digital
experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed investment, we’re scaling up and looking for a MachineLearningEngineer to lead the development of our core AI systems. What You’ll Work On: Enable the system to recognise what users are viewing in real … Job function Job function Engineering and Information Technology Industries Higher Education Referrals increase your chances of interviewing at Brio Digital by 2x Sign in to set job alerts for “MachineLearningEngineer” roles. London, England, United Kingdom 2 weeks ago London, England, United Kingdom 8 hours ago London, England, United Kingdom 2 weeks ago London, England, United … ago London, England, United Kingdom 1 week ago London, England, United Kingdom 5 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 weeks ago MachineLearning Scientists and Engineers: AI for Quantum London, England, United Kingdom 1 month ago London, England, United Kingdom 1 month ago London, England, United Kingdom 3 weeks ago More ❯
London, England, United Kingdom Hybrid / WFH Options
La Fosse
Senior MachineLearningEngineer - Computer Vision Paying up to £110/120k London - remote first A chance to work closely with professional sport!! I am currently working with a global leader within performance enhancing sports analytics, who are currently expanding their AI offerings and are looking to hire Senior MachineLearning Engineers with expertise in … working on some of the most exciting challenges in sports tech today then this is a great opportunity for you! About the Role I'm looking for a Senior MachineLearningEngineer to drive high-impact initiatives using cutting-edge computer vision (real-time) and deep learning. You'll work on projects that scale across thousands of … Nvidia, Qualcomm, etc.). If you're interested in this role and feel you fit some of the requirements, then apply through the AD to find out more... Senior MachineLearningEngineer - Computer Vision #J-18808-Ljbffr More ❯
Responsibilities Design, develop, and deploy machinelearning models for real-world business use cases Preprocess and analyze large datasets to extract actionable insights Collaborate with data scientists, engineers, and stakeholders to define ML project scope and objectives Optimize model performance and ensure scalability in production environments Maintain clear documentation and communicate findings to both technical and non-technical … audiences Monitor and troubleshoot model performance post-deployment Stay up-to-date with latest ML tools, trends, and best practices Requirements Proven experience as a MachineLearningEngineer or similar role Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, etc. Hands-on experience with data pipelines, model training, evaluation, and deployment More ❯
MachineLearningEngineer Salary: £65,000 Location: York or Manchester This position is for an experienced MachineLearningEngineer to join a newly established data science team. The primary focus is on building and maintaining the infrastructure to support the full data science lifecycle from data ingestion to model deployment, monitoring, and upgrades within … Azure and Databricks environments. The engineer will work closely with data scientists in a collaborative, cross-functional setting, helping transition models from research into production. Key Responsibilities: Own and develop deployment frameworks for data science services. Ownership of the deployment framework for all data science services. You will have oversight of how data will flow into the data science More ❯
Job Title: MachineLearningEngineer Location: London 1-2 days a week Salary: £90,000-£110,000 + 15% bonus Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a MachineLearningEngineer to join a small but impactful team at the intersection of deep learning, computer … optimize artist pipelines while building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Building real-time tracking systems for devices Working with 3D geometry, meshes, and tools like Blender Supporting … automation efforts to streamline creative production pipelines What We’re Looking For Solid experience with deep learning and computer vision Proficiency in C++ (especially for low-level or runtime systems) Familiarity with GenAI and recent ML research trends Strong Python skills Exposure to 3D environments, animation, or game engines Comfort working in cross-disciplinary teams (engineering x creative) A More ❯
MachineLearningEngineer Salary: £65,000 Location: York or Manchester This position is for an experienced MachineLearningEngineer to join a newly established data science team. The primary focus is on building and maintaining the infrastructure to support the full data science lifecycle from data ingestion to model deployment, monitoring, and upgrades within … Azure and Databricks environments. The engineer will work closely with data scientists in a collaborative, cross-functional setting, helping transition models from research into production. Key Responsibilities: Own and develop deployment frameworks for data science services. Ownership of the deployment framework for all data science services. You will have oversight of how data will flow into the data science More ❯
Job Title: MachineLearningEngineer Location: London 1-2 days a week Salary: £90,000-£110,000 + 15% bonus Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a MachineLearningEngineer to join a small but impactful team at the intersection of deep learning, computer … optimize artist pipelines while building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Building real-time tracking systems for devices Working with 3D geometry, meshes, and tools like Blender Supporting … automation efforts to streamline creative production pipelines What We’re Looking For Solid experience with deep learning and computer vision Proficiency in C++ (especially for low-level or runtime systems) Familiarity with GenAI and recent ML research trends Strong Python skills Exposure to 3D environments, animation, or game engines Comfort working in cross-disciplinary teams (engineering x creative) A More ❯
london (city of london), south east england, united kingdom
Harnham
Job Title: MachineLearningEngineer Location: London 1-2 days a week Salary: £90,000-£110,000 + 15% bonus Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a MachineLearningEngineer to join a small but impactful team at the intersection of deep learning, computer … optimize artist pipelines while building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Building real-time tracking systems for devices Working with 3D geometry, meshes, and tools like Blender Supporting … automation efforts to streamline creative production pipelines What We’re Looking For Solid experience with deep learning and computer vision Proficiency in C++ (especially for low-level or runtime systems) Familiarity with GenAI and recent ML research trends Strong Python skills Exposure to 3D environments, animation, or game engines Comfort working in cross-disciplinary teams (engineering x creative) A More ❯
Location: Reston, VA Clearance Requirement: TS with SCI eligibility Job Description: Data Machines is seeking talented and motivated MachineLearning and Infrastructure Automation Engineer to contribute to a scalable compute environment that supports various software development, simulation, and big data requirements. You will join a team of other developers that own and operate the scalable compute environment … are used to support these mission use cases. A significant amount of time will be spent on-site at a partner location working alongside other developers and stakeholders. The MachineLearning and Infrastructure Automation Engineer will innovate with cutting-edge research and development that results in simulation, machinelearning (ML), artificial intelligence (AI), and supporting … tools that maximize the efficiency and efficacy of simulation analysis performed in a scalable compute environment. This engineer will work within an agile team and focus on deep learning AI/ML agent for control and scheduling of compute jobs that decides when to schedule a simulation run based on the existing job queue, past infrastructure usage, model More ❯
Machine learning. A long way has come since Sci-Fi films like Terminator and iRobot got us thinking about robots taking over the world. But in the 2020s, hearing AI and machines in the same sentence means a world of innovation. This is a chance to be part of a brand new MachineLearning team within one … for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes. You'll have worked as a MachineLearningEngineer or Data Scientist in the past, ideally centred around a software product, and have solid Python coding skills, and expertise with cloud infrastructure (preferably AWS … tools such as MLflow and Airflow is essential, with any knowledge of AI SaaS or GenAI APIs being is a bonus. But what truly matters is your passion for learning and advancing technology. In return, you'll be offered a supportive team culture with flexible, hybrid work options and room for professional growth. If you're eager to contribute More ❯
London, England, United Kingdom Hybrid / WFH Options
Owen Thomas | Pending B Corp™
Principal MachineLearningEngineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 850-1200pd, Outside IR35 | 6-12 months Contract Length Principal MachineLearningEngineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 850-1200pd, Outside IR35 | 6-12 months … Direct message the job poster from Owen Thomas | Pending B Corp Co-Founder @ Owen Thomas - Pending B Corp | Scaling teams for all things Data, Cloud & AI/ML Principal MachineLearningEngineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 850-1200pd, Outside IR35 | 6-12 months Contract Length The … Client: A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to spearhead the technical direction for their structural biology models. This hands-on, high-impact role offers the opportunity to advance the application of foundational models to complex structural biology challenges. The successful candidate will work closely with the leadership team, serving More ❯
London, England, United Kingdom Hybrid / WFH Options
Anthropic
Research Engineer, MachineLearning (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-ended tasks. Design and conduct experiments to enhance models' reasoning capabilities, especially in code generation and mathematics. You may be a good fit if you: Have 5+ years of industry More ❯
Social network you want to login/join with: Senior MachineLearningEngineer - up to £130k base plus equity, Slough Client: Saragossa Location: Slough, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 Job Description: Do you want to leverage your AI/ML skillset in a rapidly More ❯
Social network you want to login/join with: Senior MachineLearningEngineer, London Client: Barrington James Location: London, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 1 Posted: 30.03.2025 Expiry Date: 14.05.2025 Job Description: An impressive opportunity to work as a Senior MachineLearningEngineer has arisen for an … exciting start-up company and their incredible team. This role is a marvelous opportunity to help develop machinelearning models and algorithms to assist in the data analysis of medical imaging. The company is in the process of producing groundbreaking work towards their fundamental goal of diagnosing and treating cancer at its most actionable and early stages. This … other software and train computers to recognize and understand medical imaging data, subsequently making streamlined decisions based on the data from said images. If you have strong experience in machinelearning, specifically in medical image analysis, please read below. Responsibilities: Work across different aspects of machinelearning research, assisting in developing ML models and analyzing medical More ❯
Social network you want to login/join with: We are looking for an experienced machinelearningengineer to join a newly formed data science team. You will have the opportunity to shape the data science delivery pipeline by building the infrastructure to acquire data from the data platform, deploy models, maintain, monitor, and upgrade core data … a skills crossover methodology, contributing to the data science workflow, discussions, and development, while maintaining a key role in transitioning models from research into production. The role of the MachineLearningEngineer This role is ideal for someone passionate about using data science to influence decisions and eager to learn more about delivering value through data. Key … deployments (Azure preferred). Experience with Databricks, managed endpoints, AKS or similar. Experience with version control systems (VCS) and CI/CD pipelines. Ability to identify opportunities to apply machinelearning to solve business problems. Experience in developing predictive and prescriptive analytics (modeling, machinelearning, data mining). Graduate or postgraduate qualification in engineering, mathematics, physics More ❯
Join to apply for the MachineLearning Workflow Engineer role at G-Research Join to apply for the MachineLearning Workflow Engineer role at G-Research Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm … practice The ability to collaborate with, and influence, technical and non-technical people A passion for end-to-end ownership of solutions, from articulation to delivery Proven ability to engineer high-quality software Effective decision-making, with a focus on the mid to long term Value orientated and able to independently prioritise Finance experience is not necessary for this … Information Technology, Engineering, and Finance Industries Financial Services and Capital Markets Referrals increase your chances of interviewing at G-Research by 2x Sign in to set job alerts for “MachineLearningEngineer” roles. London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks ago Graduate Software EngineerMore ❯
global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks. As a Sr. MachineLearningEngineer, you will need to: Develop a state of the art data science and ML runtime stack in a multi-cloud environment. Lead on software engineering … and computer architecture. Manage the infrastructure and pipelines needed to bring models and code into production. Demonstrate end-to-end understanding of applications (including, but not limited to, the machinelearning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machinelearning solutions in production. Apply machinelearning algorithms and … libraries. Research and implement best practices to improve the existing machinelearning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science, statistics, electrical engineering, mathematics, or physical sciences. Self-starter with excellent communication and time management skills. Strong computer programming skills, with knowledge of Python, R More ❯
Social network you want to login/join with: AI/ML Engineer - Contract | 3 Days a Week | Outside IR35 | £450 per Day | 6 Month Contract REMOTE - MUST BE BASED IN THE UK Looking to make an impact with AI-driven health tech ? We're hiring a MachineLearningEngineer for a part-time (3 days … . If you're passionate about using AI to drive meaningful change, this could be for you. The Role: Building AI that understands and predicts user health patterns. Developing machinelearning models for personalised interventions. Implementing NLP and deep learning techniques where applicable. Designing and implementing end-to-end MLOps pipelines to streamline model deployment and monitoring. More ❯
MachineLearningEngineer AI Startup £65k to £70k Remote (UK-Based) ? Remote-first (UK) ? £65,000 to £70,000 ? July 2025 start (flexible) We're partnered with a fast-growing early-stage startup that's reimagining how people interact with real-world spaces like museums, aquariums, and heritage sites using AI, computer vision, and generative technologies. They … ve nailed successful pilots with big names in the cultural space and recently closed their pre-seed round. Now they're looking for a MachineLearningEngineer to take ownership of their AI stack and help shape the next phase of their growth. What You'll Be Doing: Designing and deploying computer vision models to identify exhibits More ❯