Top Machine Learning Jobs in Manchester

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.

Research and develop machine learning algorithms for automation, collaborating with product teams to implement scalable models in a dynamic environment.

The AI/ML Engineer will develop AI-powered simulation systems, maintaining LLM orchestration and semantic search pipelines while collaborating with engineers on scientific accuracy.

Lead Machine Learning initiatives focusing on fraud prevention and customer personalization, fostering collaboration across teams to enhance banking experiences through advanced ML models.

The Senior AI/ML Developer will deliver AI features, integrate ML models, and oversee the full project lifecycle from concept through production deployment.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

As Product Manager, lead AI/ML strategies for Accelerant's Risk Exchange platform, collaborating with teams to develop tools for risk management and decision-making.

As a Senior Machine Learning Engineer, you'll develop and maintain APIs and pipelines for AI evaluation, ensuring reliability and scalability for product teams.

The Senior Machine Learning Engineer will enhance the RAG platform by delivering AI solutions, collaborating with teams on product features, mentoring, and maintaining system stability.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

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

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

As a Lead Machine Learning Engineer, you will guide technical direction and deliver innovative AI projects, ensuring architectural soundness and fostering team growth.

As a Machine Learning Engineer, you will design, build, and deploy ML systems, manage AI project methodologies, and support delivery with technical expertise, collaborating with cross-functional teams and stakeholders.

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

The Senior Machine Learning Engineer will design and implement AI/ML solutions, optimize performance, and collaborate with teams to enhance product development.