526 to 550 of 860 Permanent Machine Learning Engineer Jobs

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for More ❯

team focuses on understanding user’s cashflow, including payment data and risk profiles - this data is then modelled to work out credit risk for each user. Improving our current machine learning models. Work closely with credit analysts to manage our credit risk and drive improvements to our credit policies. Finding opportunities for model and product improvements in Cleo … bottom line through improving our eligibility and decisioning systems. Extensive experience in data science or related roles. Ability to write production quality code in Python and SQL. Experience deploying machine learning algorithms into production. Experience conducting A/B experiments & measuring impact. Strong understanding of classification models. Ideally within risk, or more broadly with imbalanced data. A strong More ❯

Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Responsibilities Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles Improve ecosystem for training infrastructure and deployment pipeline to accelerate model More ❯

About the Job Why This Matters AI is transforming hiring, but most recruiting workflows are still broken, manual, and inefficient. At Octopyd, you'll be building the intelligent systems that redefine how companies identify, evaluate, and hire top talent. You More ❯

About the Job Why This Matters AI is transforming hiring, but most recruiting workflows are still broken, manual, and inefficient. At Octopyd, you'll be building the intelligent systems that redefine how companies identify, evaluate, and hire top talent. You More ❯

About the Job Why This Matters AI is transforming hiring, but most recruiting workflows are still broken, manual, and inefficient. At Octopyd, you'll be building the intelligent systems that redefine how companies identify, evaluate, and hire top talent. You More ❯

About the Job Why This Matters AI is transforming hiring, but most recruiting workflows are still broken, manual, and inefficient. At Octopyd, you'll be building the intelligent systems that redefine how companies identify, evaluate, and hire top talent. You More ❯

About the Job Why This Matters AI is transforming hiring, but most recruiting workflows are still broken, manual, and inefficient. At Octopyd, you'll be building the intelligent systems that redefine how companies identify, evaluate, and hire top talent. You More ❯

About the Job Why This Matters AI is transforming hiring, but most recruiting workflows are still broken, manual, and inefficient. At Octopyd, you'll be building the intelligent systems that redefine how companies identify, evaluate, and hire top talent. You More ❯

About the Job Why This Matters AI is transforming hiring, but most recruiting workflows are still broken, manual, and inefficient. At Octopyd, you'll be building the intelligent systems that redefine how companies identify, evaluate, and hire top talent. You More ❯

About the Job Why This Matters AI is transforming hiring, but most recruiting workflows are still broken, manual, and inefficient. At Octopyd, you'll be building the intelligent systems that redefine how companies identify, evaluate, and hire top talent. You More ❯

About the Job Why This Matters AI is transforming hiring, but most recruiting workflows are still broken, manual, and inefficient. At Octopyd, you'll be building the intelligent systems that redefine how companies identify, evaluate, and hire top talent. You More ❯

About the Job Why This Matters AI is transforming hiring, but most recruiting workflows are still broken, manual, and inefficient. At Octopyd, you'll be building the intelligent systems that redefine how companies identify, evaluate, and hire top talent. You More ❯

About the Job Why This Matters AI is transforming hiring, but most recruiting workflows are still broken, manual, and inefficient. At Octopyd, you'll be building the intelligent systems that redefine how companies identify, evaluate, and hire top talent. You More ❯

Job Opening: Data/Machine Learning Engineer Location: Amsterdam/Remote Industry: Retail & E-commerce Type: Full-time THE COMPANY This company are transforming the retail experience with data-driven insights and intelligent systems that power every decision - from personalized customer recommendations to real-time inventory optimization. They are a fast-growing retail tech company that blends … cutting-edge machine learning with the dynamic pace of the consumer world. If you're passionate about data, love solving real-world problems, and want to build products used by millions, they want to meet you. The Role They are looking for a Data/Machine Learning Engineer to join our cross-functional tech team. … demand forecasting to customer behavior analysis. What You'll Do Design, build, and maintain robust data pipelines (ETL/ELT) from diverse retail data sources. Develop, train, and deploy machine learning models for applications such as personalization, dynamic pricing, fraud detection, and inventory forecasting. Collaborate with data scientists, engineers, and product managers to translate business needs into ML More ❯

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning research engineers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning research engineers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning research engineers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning research engineers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning research engineers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning research engineers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯

Social network you want to login/join with: New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We’re looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. … Key responsibilities and requirements for the Machine Learning Engineer job: Train and deploy SOTA models on production-scale datasets Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research Key skills/experience required for the Machine Learning Engineer job: MSc/PhD … in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be beneficial This is a great opportunity for a Machine Learning Engineer to join a passionate More ❯

Senior Machine Learning Engineer Senior Machine Learning Engineer Innovation team working on Autonomous Vehicle Control Salary: £550 - £700 per day - 1 year minimum project The Senior Machine Learning Engineer will join a Government backed innovation project around Autonomous Vehicle Control. You will join a team of 10 people working in London … whilst also collaborating closely with a European based team. A suitable candidate will likely have 2-3 years experience experience working in AI & deep learning API’s, with a focus on robotics/automation. It is not essential to have experience in Autonomous Vehicle Control. Experience of computer vision systems/Advanced visual perception. Neural Networks Signal & Image Processing … Algorithmic knowledge of supervised/unsupervised machine learning systems and deep learning API/principles Python/C++. OpenCV, Ubuntu/Debian This is an urgent requirement to join a passionate innovation team working on next generation autonomous vehicle control. The project is minimum 1 year in length with a clear goal to reach, which if achieved More ❯

Senior Machine Learning Engineer – Python/TensorFlow/Keras/PyTorch/scikit-learn Wyatt Partners are working with the founders of an innovative Machine Learning startup to hire an experienced Machine Learning Engineer. They see the Senior Machine Learning Engineer quickly developing into the ‘Head of Machine Learning … problem faced by various industries, offering a strong first-mover advantage with no natural competitors. The current tech stack includes: Python, TensorFlow, Keras, PyTorch, and scikit-learn. The Senior Machine Learning Engineer will be responsible for: Developing cutting-edge algorithms Building data management pipelines to automate updates of core algorithms Productionizing the company's Machine Learning solutions Mentoring junior Machine Learning team members We are seeking an individual with a top-tier academic background in Machine Learning, AI, or Computer Science, with experience in developing, building, and deploying ML & AI applications at scale. The company offers a competitive base salary and an equity package. Apply now for the Senior Machine More ❯

New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We’re looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Machine Learning Engineer job: Train and deploy SOTA models on production-scale datasets Optimize models using pruning, quantization, distillation Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research Key skills/experience required for the Machine Learning Engineer job: MSc/PhD in a relevant … field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be beneficial This is a great opportunity for a Machine Learning Engineer to join a passionate team of engineers More ❯