Top Machine Learning Jobs in Manchester

As a Software & ML Engineering Manager, you'll lead a team to build systems that analyze telematics data, detect anomalies, and improve operational insights. You'll mentor engineers, define product roadmaps, and collaborate with cross-functional teams to deliver impactful solutions.

Lead a team of SW and ML engineers to develop solutions that analyze telematics data for anomaly detection and incident resolution, ensuring collaboration across multiple teams.

As a Senior Software Engineer on the Global Compliance team, you'll develop systems for monitoring and reporting driver compliance, collaborating with team members across firmware, back-end, and mobile technologies.

Define the strategic vision for the Video-Based Safety platform, integrating AI and Computer Vision to enhance safety and efficiency in physical operations. Lead cross-functional teams and mentor product managers while driving innovation in a rapidly growing company.

As Senior Product Manager for Video-based Safety, you will define, own, and execute the product strategy involving AI/ML models to enhance safety outcomes, collaborating with engineering and design teams.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Staff Product Manager leads product strategy and development while collaborating with clients and various teams to enhance customer value through continuous delivery and agile principles.

Lead and shape Data and Data Science strategies for Credit Card initiatives. Collaborate with teams to implement data solutions and maintain impactful relationships, ensuring alignment with business objectives.

Lead the Machine Learning strategy and Data Operations for UK Insurance, overseeing the ML lifecycle and data governance, while managing teams and collaborating with stakeholders.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

This is a 3-year graduate engineering program for fresh graduates to work on diverse projects while receiving mentorship and support.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The Account Executive will drive sales and manage client relationships, focusing on revenue generation in mobile app advertising.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

This is a graduate program offering engineering training, mentorship, and hands-on experience on various projects across disciplines, aimed at career development in engineering.

The role oversees NVIDIA's developer relations focusing on AI and deep learning, fostering engineering partnerships, and strategic community building.

The Operations Manager will lead and scale field service teams in Europe, ensuring safe and high-quality installations, managing logistics, and enforcing compliance with safety standards.

As an AI Trust Consultant, you will deliver Responsible AI solutions, collaborate with various teams, advise customers on ethics, governance, and human-centric practices, and foster innovation in AI implementations.

As the AI & Data Ethics Technical Lead, you will enhance Kainos' AI capabilities, develop demos of Responsible AI techniques, and support data & AI trust in customer projects.

As an Executive Partner, you'll mentor CTOs in I&O, manage a portfolio of clients, deliver workshops, and support sales efforts, requiring extensive executive experience.

Investigate sophisticated attack chains across cloud environments, analyze cyber threats, and provide insights to enhance cybersecurity solutions.

The role involves designing and testing AI solutions, managing full research projects, implementing ML applications, and collaborating with cross-functional teams to advance products.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

Lead the design and development of telematics data products, influence the roadmap, and deliver full-stack features while collaborating with teams to ensure product success.

Manage and develop products and services, drive product strategy, ensure compliance, and leverage AI and technology for performance optimization.