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Acceler8 Talent is looking for a Senior Machine Learning Engineer to join a fast-moving, well-funded startup based in Canada. This company aims to reinvent insurance using advanced machine learning technologies. As a Senior ML Engineer, your primary responsibilities will include building production-grade ML systems from the ground up, working with LLMs, neural networks, and real-time risk models that are already live in production. You will be part of a small, senior team enjoying full autonomy and facing zero red tape. To succeed in this role, you should have at least 5 years of hands-on experience in ML, particularly with large models, and possess a deep understanding of LLMs, neural networks, or computer vision. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or JAX is essential.

Opus Recruitment Solutions is looking for a Senior Machine Learning Engineer. You will work along the end-to-end machine learning lifecycle, focusing on data engineering and maintaining real-time data pipelines. Your responsibilities include developing and maintaining ETL processes, designing and implementing machine learning algorithms, and deploying and monitoring models in production environments. The ideal candidate should have a Bachelor's or Master's degree in Computer Science, Data Science, or related field, along with 7+ years of professional experience in fraud prevention or credit scoring, and expertise in machine learning algorithms, frameworks, and data engineering.

ECOM is looking for a Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning models and algorithms. You will be part of a dynamic team at an innovative technology company in Manchester, driving innovation and solving complex problems through machine learning. The role entails designing, developing, and deploying machine learning solutions while collaborating with software engineers and data scientists to integrate these solutions effectively. A strong background in Python and machine learning libraries is essential for this position.

Acceler8 Talent is looking for a Senior Machine Learning Engineer to develop and enhance production-grade ML systems. The ideal candidate should possess strong hands-on experience in machine learning and be well-versed in deploying models using cloud platforms. Responsibilities include working with large models and fostering innovation in the insurance sector using ML. The role offers competitive compensation and equity in a promising startup.

Expansion is looking for an AI/Machine Learning Engineer to play a key role in building and enhancing AI-powered features that drive leadership development. You will develop intelligent, scalable AI-driven solutions, focusing on machine learning (ML), large language models (LLMs), and AI automation, while collaborating with engineers and subject matter experts throughout the process, from research to deployment and optimization. Key responsibilities include designing and deploying AI models, integrating AI solutions with JavaScript applications, and staying updated on AI/ML advancements, ensuring alignment with business goals.

BlackLine is looking for an AI Machine Learning Engineer to independently design, develop, and deploy cutting-edge machine learning models and algorithms. The ideal candidate will have strong programming skills in Python, experience in data modeling, and knowledge of AI deployment in cloud environments. This role includes optimizing AI systems for scalability and collaborating effectively with cross-functional teams, contributing to innovative AI solutions that empower finance and accounting leaders.

Better Placed Ltd is looking for a Machine Learning Engineer who is passionate about AI and machine learning. The ideal candidate should possess a Master's Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML. The role involves working alongside an established US team, focusing on training next-gen models and collaborating closely with US researchers on data sets and scalable training pipelines.

BlackLine is looking for an AI Machine Learning Engineer who will design, develop, and deploy machine learning models and algorithms to solve complex business problems. You will optimize AI systems for scalability and performance, conduct in-depth data analysis, and mentor junior engineers, contributing to innovative solutions in finance automation.

BlackLine is looking for a Data Application Engineer who will be responsible for building and maintaining python-based applications, integrating and deploying microservices in GCP Kubernetes, and creating REST API endpoints in GCP. The ideal candidate will proactively drive solutions to open-ended problems, collaborate with product management and engineering teams, and advocate for Data Science best practices while conforming to ML Ops methodologies.

SafeAD is looking for a Machine Learning Engineer for Autonomous Driving. In this role, you’ll improve and develop features of our multi-task scene understanding AI model, optimize it for production hardware, streamline the training pipeline, and test software in self-driving vehicles. Minimum qualifications include an MSc/PhD in Computer Science or Robotics, 3 years of professional experience (including PhD time), proficiency in Python, and experience with Machine Learning in PyTorch. Teamwork and a learning mindset are essential, while hands-on experience with autonomous driving and applied machine learning in 3D scene understanding tasks are preferred.