The position can be based in Spain Barcelona, even if the geographical scope is Europe. The desirable characteristics are: What are we looking for? We are seeking a ML Engineer to our team to take on the technical design and implementation in projects within the scope of our Data & Intelligence CoE, working in initiatives for top-tier organizations. We More ❯
The position can be based in Spain Barcelona, even if the geographical scope is Europe. The desirable characteristics are: What are we looking for? We are seeking a ML Engineer to our team to take on the technical design and implementation in projects within the scope of our Data & Intelligence CoE, working in initiatives for top-tier organizations. We More ❯
The position can be based in Spain Barcelona, even if the geographical scope is Europe. The desirable characteristics are: What are we looking for? We are seeking a ML Engineer to our team to take on the technical design and implementation in projects within the scope of our Data & Intelligence CoE, working in initiatives for top-tier organizations. We More ❯
The position can be based in Spain Barcelona, even if the geographical scope is Europe. The desirable characteristics are: What are we looking for? We are seeking a ML Engineer to our team to take on the technical design and implementation in projects within the scope of our Data & Intelligence CoE, working in initiatives for top-tier organizations. We More ❯
London, England, United Kingdom Hybrid / WFH Options
OHO Group Ltd
Social network you want to login/join with: MachineLearning Research Engineer, London Location: London, United Kingdom Job Category: Internet EU work permit required: Yes Job Reference: AF-36 Job Views: 1 Posted: 19.05.2025 Expiry Date: 03.07.2025 Job Description: Research MachineLearningEngineer - World Leading Team - Cambridge/London A world-leading tech … company is looking for an exceptional Research MachineLearningEngineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in machinelearning - driving cutting-edge innovation with real-world impact. What we’re looking for: Candidates should ideally hold a PhD … in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machinelearning algorithm development is essential, and we’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimization methods Deep learningMore ❯
MachineLearningEngineer (Robotics) Dive into the heart of San Francisco's tech scene with Triumphant Nerd! Our client seeks a MachineLearningEngineer with industrial robotics experience in a startup environment. If you're a visionary eager to shape the future of AI and robotics, this is your launchpad. The position is located … Rust, enhancing our client's model inference services Elevate their automated model retraining system to new heights Solve complex issues within their robot fleet, ensuring operational excellence Innovate in machinelearning/perception, pushing the boundaries of technology Robotics startup experience is a big PLUS! Google JAX experience is a major PLUS! 3-5 years of experience with … axis robotic arms and deploying machinelearning models is required Technical Skills Needed: B.S. or higher in STEM The ideal candidate must have a stronghold in Python Proven problem-solving prowess and stellar communication Deep knowledge of machinelearning, especially in deep learning Proficiency in TensorFlow, Kubernetes, Rust, and Google Cloud Platform Must have experience More ❯
Senior MachineLearningEngineer Salary: £65,000-£100,000 Location: London - 5 days a week in office, can then become hybrid post probation Join a dynamic team of MachineLearning Engineers working on high-impact, machinelearning models in the 3D graphics and VFX space. ROLE AND RESPONSIBILITIES Working closely within a small … Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform Opportunity to upskill and mentor junior members, whilst learning from a high calibre team SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then More ❯
Senior MachineLearningEngineer Salary: £65,000-£100,000 Location: London - 5 days a week in office, can then become hybrid post probation Join a dynamic team of MachineLearning Engineers working on high-impact, machinelearning models in the 3D graphics and VFX space. ROLE AND RESPONSIBILITIES Working closely within a small … Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform Opportunity to upskill and mentor junior members, whilst learning from a high calibre team SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then More ❯
Social network you want to login/join with: Senior MachineLearningEngineer - 3D Graphics, slough col-narrow-left Client: Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Senior MachineLearningEngineer Location: London … days a week in office, can then become hybrid post probation Join a dynamic team of MachineLearning Engineers working on high-impact, machinelearning models in the 3D graphics and VFX space. ROLE AND RESPONSIBILITIES Working closely within a small team, to build and scale ML models focusing on rendering and 3D graphic design Working … alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform Opportunity to upskill and mentor junior members, whilst learning from a high calibre team SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience More ❯
Senior MachineLearningEngineer Salary: £65,000-£100,000 Location: London - 5 days a week in office, can then become hybrid post probation Join a dynamic team of MachineLearning Engineers working on high-impact, machinelearning models in the 3D graphics and VFX space. ROLE AND RESPONSIBILITIES Working closely within a small … Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform Opportunity to upskill and mentor junior members, whilst learning from a high calibre team SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then More ❯
london (city of london), south east england, united kingdom
Harnham
Senior MachineLearningEngineer Salary: £65,000-£100,000 Location: London - 5 days a week in office, can then become hybrid post probation Join a dynamic team of MachineLearning Engineers working on high-impact, machinelearning models in the 3D graphics and VFX space. ROLE AND RESPONSIBILITIES Working closely within a small … Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform Opportunity to upskill and mentor junior members, whilst learning from a high calibre team SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then More ❯
London, England, United Kingdom Hybrid / WFH Options
Noir
MachineLearningEngineer - SaaS - London (Tech stack: MachineLearningEngineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure MachineLearning, Google Cloud AI Platform, TensorFlow Serving, ONNX … Open Neural Network Exchange) We have several exciting new positions available for MachineLearning Engineers to join a forward-thinking AI company. This is your opportunity to collaborate with top talent in the field of artificial intelligence. Their latest AI advancements have redefined industry norms and empowered businesses to implement cutting-edge, personalized, and scalable AI solutions. Leveraging … of-the-art technology, we are reshaping the landscape of AI, offering innovative models that exceed current industry benchmarks. Come aboard our team and help shape the future of machinelearning and AI. Our client is looking for passionate MachineLearningEngineer candidates with experience in some or all of the following (full training will More ❯
Senior MachineLearningEngineer - Tech for Good This company is making waves in it's industry. Born from a mission to drive real change, this company has already formed prestigious partnerships, and they're only getting started. This is an exciting opportunity to join a small, collaborative team, working closely with technical leadership to help shape the … product roadmap and develop impactful AI solutions. As the Senior MachineLearningEngineer, you'll be responsible for scoping, designing, and developing machinelearning systems, implementing suitable ML algorithms, and staying current with emerging trends and technologies in the field. You'll ideally have the following skills and experience: Expertise in prompt engineering and fine More ❯
Senior MachineLearningEngineer - Tech for Good This company is making waves in it's industry. Born from a mission to drive real change, this company has already formed prestigious partnerships, and they're only getting started. This is an exciting opportunity to join a small, collaborative team, working closely with technical leadership to help shape the … product roadmap and develop impactful AI solutions. As the Senior MachineLearningEngineer, you'll be responsible for scoping, designing, and developing machinelearning systems, implementing suitable ML algorithms, and staying current with emerging trends and technologies in the field. You'll ideally have the following skills and experience: Expertise in prompt engineering and fine More ❯
Senior MachineLearningEngineer - Tech for Good This company is making waves in it's industry. Born from a mission to drive real change, this company has already formed prestigious partnerships, and they're only getting started. This is an exciting opportunity to join a small, collaborative team, working closely with technical leadership to help shape the … product roadmap and develop impactful AI solutions. As the Senior MachineLearningEngineer, you'll be responsible for scoping, designing, and developing machinelearning systems, implementing suitable ML algorithms, and staying current with emerging trends and technologies in the field. You'll ideally have the following skills and experience: Expertise in prompt engineering and fine More ❯
Job Opportunity: Geospatial MachineLearningEngineer Focus: Remote Sensing & Geospatial Problems Location: Remote About Us: This company are at the cutting edge of technology, blending the power of machinelearning with geospatial data to solve real-world problems. The mission is to innovate and provide solutions that drive impactful change across industries such as environmental … monitoring, urban planning, and disaster management. Role Overview: We are seeking a Geospatial MachineLearningEngineer with a specialized focus on remote sensing and geospatial challenges. In this role, you will harness the power of machinelearning to interpret vast amounts of remote-sensing data and deliver actionable insights. You will collaborate with a talented … team of engineers and scientists to develop advanced models and applications that address critical geospatial issues. Key Responsibilities: Develop and implement machinelearning models tailored to remote sensing data. Analyze and process large geospatial datasets to extract meaningful patterns and trends. Design and optimize algorithms for satellite imagery and other remote sensing technologies. Integrate geospatial data with machineMore ❯
Job Opportunity: Geospatial MachineLearningEngineer Focus: Remote Sensing & Geospatial Problems Location: Remote About Us: This company are at the cutting edge of technology, blending the power of machinelearning with geospatial data to solve real-world problems. The mission is to innovate and provide solutions that drive impactful change across industries such as environmental … monitoring, urban planning, and disaster management. Role Overview: We are seeking a Geospatial MachineLearningEngineer with a specialized focus on remote sensing and geospatial challenges. In this role, you will harness the power of machinelearning to interpret vast amounts of remote-sensing data and deliver actionable insights. You will collaborate with a talented … team of engineers and scientists to develop advanced models and applications that address critical geospatial issues. Key Responsibilities: Develop and implement machinelearning models tailored to remote sensing data. Analyze and process large geospatial datasets to extract meaningful patterns and trends. Design and optimize algorithms for satellite imagery and other remote sensing technologies. Integrate geospatial data with machineMore ❯
Freelance LLM Engineer Brussels, Belgium We are working with a machinery company focused on integrating advanced AI technologies. They are seeking a skilled LLM Engineer to join their team and help build and maintain language model pipelines. Job Description Large Language Model (LLM) Engineer to design, implement, and optimize training and evolution pipelines for large-scale language … advancements in LLMs and NLP. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. Proven experience working with large language models and machinelearning pipelines. Proficiency in Python and familiarity with machinelearning frameworks (e.g., PyTorch, TensorFlow). Strong skills in data cleaning, preprocessing, and management. Research background or More ❯
Revolutionising Healthcare Through Machine Learning. The field of machinelearning has advanced far beyond the futuristic ideas portrayed in Sci-Fi films like Robocop and Transformers. Today, machinelearning represents a groundbreaking tool in healthcare and pharmaceuticals, offering solutions to transform patient outcomes and advance the industry. This is your opportunity to join a brand … new MachineLearning team within one of Europe's fastest-growing AI start-ups. Their mission? To develop cutting-edge AI solutions that tackle the unique challenges in healthcare and pharma, delivering scalable innovations that improve drug development, diagnostics, and treatment delivery. Based in vibrant offices in Barcelona or Madrid, you'll work at the forefront of machinelearning, creating tools for model training and evaluation that power transformative healthcare applications. Collaborating closely with Data Scientists and Engineers, you'll produce advanced AI solutions while optimizing MLOps processes to drive efficiency and impact. The ideal candidate will bring experience as a MachineLearningEngineer or Data Scientist, preferably within the healthcare, biotech, or More ❯
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 ❯
San Francisco, 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 ❯
You will work with cutting-edge AI teams on research and development topics across our life sciences, global energy and materials, and advanced industries practices, serving as a data engineer/machinelearningengineer in a technology development and delivery capacity. With your expertise in computer science, computer engineering, cloud, and data transformation (ETL & feature engineering … questions on how AI can be used for therapeutics, chemicals, and materials (including small molecules, proteins, mRNA, polymers, etc.). Your work will involve delivering distinctive capabilities, data, and machinelearning systems through collaboration with client teams, playing a pivotal role in creating and disseminating cutting-edge knowledge and proprietary assets, and building the firm’s reputation in … your area of expertise. Your Impact You will leverage your expertise in data/machinelearning engineering and product development to solve complex client problems through part-time staffing, develop engineering roadmaps for cell-level initiatives, and transform AI prototypes into deployment-ready solutions. By working directly with client delivery teams, you will ensure seamless implementation of prototypes More ❯
San Jose, 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 ❯
San Mateo, 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 ❯
Sonoma, 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 ❯