Latest mlops Jobs

Machine Learning Engineer

Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and engineering teams to solve real-world industrial challenges. Focus on building reliable data pipelines, manipulating 3D point-cloud and mesh data, and translating research into production-grade tools. The role involves significant customer collaboration, on-site problem solving, and travel across multiple regions.

PhysicsX United Kingdom £150,000 – £190,000 pa

Remote Permanent

W

Staff SRE, AI Infrastructure

Design and implement monitoring, logging, and alerting systems to enable rapid detection and recovery. Build dashboards that reflect real user-centric platform health. Improve deployment safety through better change management, validation, and rollback mechanisms.

Wayve London, United Kingdom

On-site Permanent

Senior AI Engineer

Design and implement end-to-end AI/ML systems using generative AI, LLMs, and agentic frameworks to extract insights from biomedical literature and data. Focus on production-grade reliability, model quality, and collaboration with product and engineering teams to deliver user-facing features. Mentor junior engineers and contribute to a culture of technical excellence and knowledge sharing.

Causaly London, United Kingdom

Hybrid Permanent

Head of AI Solutions, COO Technology - MD C16 - Citi

Discover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your...

eFinancialCareers London, United Kingdom

Principal Engineer – Risk Decisioning & Agentic AI – BPL

Lead the design and implementation of AI-driven risk decisioning systems, focusing on fraud detection, credit risk, and financial crime. Develop scalable, cloud-native platforms using event-driven architectures and real-time processing, while mentoring engineering teams and shaping technical strategy. Work within a regulated environment to translate compliance and risk requirements into robust, production-grade solutions.

Barclays London, E14 5RB, United Kingdom

Senior Scientist - Computational Method Development

This role involves developing novel computational methods and machine learning algorithms to transform complex sequencing data into actionable biological insights. You will work closely with bioinformaticians and software engineers to deploy methods in scalable workflows, and have the potential to take on people leadership responsibilities.

HAYS Specialist Recruitment Oxford, United Kingdom

Scientist - Computational Method Development

This role involves developing novel computational methods and machine learning algorithms to transform complex sequencing data into actionable biological insights. You will work closely with bioinformaticians and software engineers to deploy methods in scalable workflows and collaborate across multidisciplinary teams to translate research into practical applications.

HAYS Specialist Recruitment Oxford, United Kingdom

Applied Scientist Lead - Computer Vision

Lead a team of applied scientists building computer vision and machine learning systems for identity verification at scale. Focus on developing vision-language models and compact mobile-optimized models to combat fraud and improve digital trust. Work closely with product and engineering to deploy resilient, production-grade systems in adversarial environments.

Entrust London, United Kingdom

On-site Permanent

Applied Scientist I

This role involves developing and training advanced machine learning models for digital identity verification, with a focus on areas like deepfake detection, bias mitigation, document understanding, and efficient on-device ML. The candidate will conduct research, build multimodal models using synthetic data, optimise training performance across GPUs, and collaborate with engineering teams to deploy solutions globally. Work includes creating large-scale datasets, benchmarking vision-language models, and improving fairness in biometric systems.

Entrust London, United Kingdom