Top Machine Learning Jobs in Manchester

The Director of Threat Research & Reporting will lead a cross-functional team focused on assessing and improving CrowdStrike's threat detection capabilities while managing internal and external research relationships.

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.

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.

Lead the digital transformation of claims processes within a global insurance firm, focusing on strategy, roadmaps, and collaborative delivery with IT.

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

As a Responsible AI & Adoption Consultant, you'll drive Responsible AI adoption, shape impactful strategies, engage with policymakers, and advise clients on ethics, governance, and human-centric design. You'll manage a team and foster innovation within AI practices.

The Sr. Analytics Manager will guide the analytics team, support strategic projects, and deliver insights through data storytelling and advanced analytics.

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

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.

The Machine Learning Engineer will design and implement models to analyze user behavior and improve algorithm performance, collaborating with engineering teams and business stakeholders.

The Senior FinCrime Product Owner will design and implement a financial crime prevention product, develop strategy, and lead product delivery at Deblock.

The Staff Data Scientist will develop and deploy machine learning models, enhance automation, conduct experimentation, and lead collaborative efforts to drive business value across teams.

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

Lead the product strategy for Jumio's ID Verification solutions, overseeing product lifecycle, team performance, and collaboration with engineering and marketing, ensuring compliance and customer needs are met.

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.

The Regional Sales Manager will lead a sales team to acquire new corporate clients and expand market share through strategic planning and execution.

As a Sr. Account Executive, you will sell and develop customer relationships while building your territory, focusing on customs clearance efficiencies.

The Senior Solutions Architect will design and architect digital solutions, manage technical governance, and collaborate with sales and clients to address business challenges.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Pre-Sales AI Solution Designers collaborate with teams to propose AI-driven solutions, design architectures, present capabilities, and assist with proposals, ensuring compliance and ethical standards in AI development.

As a Product Engineer, you'll build scalable features, solve complex problems, and collaborate across teams, focusing on user impact and product strategy.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.