Top Machine Learning Jobs in Manchester

The Engineering Manager ML - Account Takeover at Abnormal Security will lead a team of engineers to develop an enterprise-grade product focused on cloud security. Responsibilities include managing a team of multi-disciplinary engineers, sourcing and hiring technical talent, and mentoring and developing the team. Ideal candidates thrive in challenging and fast-paced environments, have experience in senior engineering roles, and possess strong soft skills. This is not a fit for candidates who prefer structured environments, lack experience in technical leadership, or prioritize only technical challenges.

As a Software Engineer on our ML Product team, you will be responsible for defining and improving the workflow of our open-source machine learning tools. You will work closely with technical product managers and have hands-on experience in deep learning. Strong communication and software engineering skills are required.

As a Senior ML Engineer at Mimica, you will own components of the Machine Learning pipeline, analyze and preprocess data, implement pipelines, research Computer Vision and NLP literature, and deploy models to production. You will also collaborate with frontend engineers, participate in architectural decisions, mentor team members, and contribute to hiring and onboarding processes.

Develop and maintain the ASIC Hub application, ensuring seamless communication with devices within the local network. Implement robust TCP/UDP communication protocols to facilitate efficient data exchange. Design and write system monitoring solutions tailored to the unique requirements of the mining industry. Collaborate closely with a team of Go Engineers, sharing knowledge and expertise to drive the project forward. Engage in data-driven development, managing and optimizing the flow of large datasets.

Senior Software Engineer position at Entrust, focusing on developing state-of-the-art machine learning-backed services for biometric verification, document classification, and fraud analysis. Responsibilities include designing and implementing ML pipelines, optimizing research projects, and providing technical guidance to other engineers. Required skills include Python, machine learning frameworks, and testing frameworks.

Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.

Design, develop, and implement machine learning models to automate business processes. Collaborate with cross-functional teams on AI advancements including Large Language Models, Process Mining, and Graph Databases.

Lead AI Researcher at SuperAds responsible for implementing advanced deep learning models for ad analysis, exploring image and video generation models, contributing to product development, and collaborating with cross-functional teams to integrate AI-driven insights into the analytics platform.

Seeking a Staff Software Engineer with a passion for machine learning operations and data engineering to join the ML Data team at HubSpot. Responsibilities include leading and innovating in machine learning data infrastructure, providing strategic direction, collaborative problem-solving, and mentorship. Looking for candidates with a track record in AI/ML system projects, ability to collaborate across the organization, industry best practices, and commitment to data quality, security, and privacy.