Latest mlops engineer Jobs

Data Scientist (Sovereign Territory Surveillance)

The Data Scientist role involves solving maritime and security-based problems using machine learning and data science techniques. Responsibilities include developing and evaluating ML models for anomaly detection, track pattern recognition, and integrating model outputs into user-facing features. The role is part of a collaborative, data-orientated team focused on enhancing civil defence security through advanced automated security infrastructures.

SRT Marine Systems PLC Gloucester, Gloucestershire, United Kingdom £55,000 – £85,000 pa

Data Scientist (Sovereign Territory Surveillance)

The Data Scientist role at SRT Marine Systems involves solving complex maritime and security-based problems using machine learning and data science techniques. You will develop and evaluate models for anomaly detection, track pattern recognition, and behaviour classification, working closely with developers and infrastructure engineers to integrate these models into user-facing features and scalable data pipelines.

SRT Marine Systems PLC Swindon, Wiltshire, United Kingdom £55,000 – £85,000 pa

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

This executive-level role involves leading the development and deployment of AI solutions across Citi's COO Technology portfolio. Responsibilities include defining the AI strategy, building a world-class engineering team, and delivering production-grade AI in high-complexity, regulated environments. The role requires deep expertise in generative AI, agentic systems, and MLOps, with a focus on solving complex operational challenges and ensuring regulatory compliance.

eFinancialCareers London, United Kingdom

On-site Permanent Clearance Required

Principal Data Scientist - Aristocrat

This role involves leading end-to-end data science initiatives to enhance player engagement, retention, and monetization in social casino games. The Principal Data Scientist will develop machine learning and reinforcement learning models, drive scalable experimentation, and translate complex insights into product decisions. They will also provide technical leadership, mentorship, and collaborate across engineering, MLOps, and game teams to build data products and improve decision-making frameworks.

eFinancialCareers London, United Kingdom

Release Manager — AI Models

This role involves managing the end-to-end lifecycle of AI models for autonomous driving systems, from training and evaluation to on-road testing and fleet-wide deployment. The Release Manager ensures reliable, timely releases by establishing gating criteria, resolving regressions, and improving processes across ML and engineering teams. It combines technical rigor with adaptability in a fast-moving, research-informed environment where model performance is probabilistic and integration spans complex software and vehicle platforms.

Wayve London, United Kingdom

Hybrid Permanent

Platform Engineer

A Platform Engineer will design and scale Kubernetes-based hybrid compute clusters across private and public clouds, supporting machine learning and data science workflows. The role involves building core platform services, managing CI/CD pipelines, and ensuring system reliability, security, and scalability. Close collaboration with ML and data teams is essential to meet computational demands in a high-impact biotech environment.

Relation Therapeutics London, United Kingdom

Hybrid Permanent

Forward Deployed Engineer - Emerging Enterprise & DNB

Design and implement data engineering and AI solutions on the Databricks platform for fast-moving enterprise clients. Deliver production use cases, provide technical leadership, and support migration from legacy systems. Collaborate with cross-functional teams to ensure successful deployment and gather product feedback.

Databricks London, United Kingdom

Hybrid Permanent

Senior Data Scientist

The role involves designing and delivering AI/ML models for forecasting, customer segmentation, churn prediction, and commercial optimisation. You will own end-to-end data workflows, operationalise models using ML Ops, and collaborate with product, engineering, and client teams to align technical outputs with business outcomes.

VIQU IT London, United Kingdom £75,000 – £80,000 pa