Top Machine Learning Jobs in Manchester

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 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.

As a Senior Enterprise Architect, you'll lead AI strategy, define transition roadmaps, and collaborate with teams to ensure compliant AI solutions across the bank.

The Product and Proposition Manager develops product strategies, leads execution, evaluates risks, and manages customer journeys while ensuring compliance and innovation through AI. Strong consultative and analytical skills are essential.

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

Lead delivery of AI-powered insights for clients, manage relationships, and drive commercial growth while innovating technical workflows.

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 Product Manager will shape the AI product roadmap, collaborate on machine learning projects, prioritize initiatives, and communicate effectively with stakeholders.

As a Product Manager, you'll connect user needs with technology and business goals, define product roadmaps, and lead AI initiatives.

Lead quality engineering for feature teams, owning test strategy across functional and non-functional testing. Drive automation (UI/API), performance, security and accessibility testing, apply AI/ML to test automation, mentor engineers, and collaborate with product, design, dev and DevOps to deliver production-ready services.

The role involves designing safety policies for audio AI, building automated systems, and ensuring compliance with global regulations. Duties include collaborating with engineering and operations to integrate safety measures effectively.

You will analyze and enhance AI models related to Eastern European events, annotate data feeds, and work on improving real-time data tooling.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.

The Customer Success Manager will lead client onboarding, manage budgets, identify new business opportunities, and build client relationships to drive growth and retention.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

The Senior Complaints Operations Manager will lead strategic initiatives within the complaints department, focusing on regulatory compliance and customer outcomes, while driving continuous improvement and leveraging technology.

As an Account Executive, you'll drive revenue growth by prospecting new business, managing client relationships, and ensuring customer satisfaction while leveraging AI in sales strategies.

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

Lead developer-facing work on advanced real-time rendering and neural graphics: optimize GPU/CPU performance, develop and tune neural rendering and AI models, collaborate with AAA studios and NVIDIA architecture/driver teams, build demos, publish and present research.

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.

The NLP Specialist analyzes and improves NLP model behavior, collaborates with cross-functional teams, and evaluates model outputs to enhance user experience.