Top Machine Learning Jobs in Manchester

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 Financial Crime Product Manager will oversee the lifecycle of financial crime tools, manage the engineering backlog, develop product roadmaps, and align them with compliance and business goals.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

This role involves developing and deploying machine learning models for fraud detection, collaborating with teams to ensure customer safety and business impact.

The Senior Platform Engineer in Machine Learning at Monzo will design, maintain infrastructure for ML models, and work with various cloud technologies.

The ML/AI Engineer will build and maintain scalable systems for the machine learning lifecycle, focusing on Kubernetes orchestration, CI/CD automation, model deployment, and ensuring reliability and efficiency. Responsibilities include automating deployment, monitoring, and maintaining models in production environments.

The Account Executive is responsible for driving sales and revenue, managing client relationships, and collaborating with cross-functional teams to grow partnerships in the mobile advertising sector.

The Lead Product Marketing Engineer will drive awareness and engagement for DataRobot's Agentic AI platform, crafting narratives, creating content, and managing partnerships to inspire C-level executives and technical audiences.

The role involves building AI/ML components, collaborating with data scientists, debugging workflows, and participating in solution design sessions. The candidate should have strong engineering experience and proficiency in Python.

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

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

As a Senior Staff ML Scientist, you'll lead ML strategy at Monzo, mentor teams, develop AI solutions, and influence design in operations.

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.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

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 a Principal Java Engineer II in the ML Core team, you will build and maintain machine learning components for Elasticsearch, collaborate with engineering teams, and ensure scalable and high-quality code. You'll lead projects from design to implementation while supporting the team and community.

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.

As a Staff Machine Learning Engineer, you will lead the development of complex ML systems and MLOps pipelines, mentor junior engineers, and ensure scalable and reliable solutions for retail workflows.

Lead the development and deployment of AI systems, designing scalable ML software and infrastructure while mentoring junior engineers and advising clients.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Machine Learning Engineer will build, refine, and optimize AI/ML prototypes while collaborating with teams on technical documentation, deployment, and model integration.

The Senior AI/ML Engineer will design and optimize scalable systems, productionize AI prototypes, solve performance issues, and collaborate with teams on innovative solutions.

Design, build, deploy, and maintain scalable AI/ML pipelines and production models (including LLMs). Collaborate with data scientists and engineers to optimize model performance, latency, and cost on cloud platforms using MLOps practices, containerization, and CI/CD. Integrate AI capabilities into client and internal applications and monitor models in production.

As a Senior Software Engineer, you'll design and build AI applications in Python, optimize performance, collaborate with clients, and lead technical practices. You will ensure high-quality standards and participate in agile development processes.