Latest mlops Jobs

MLOps Engineering Manager

Lead the design, migration, and delivery of scalable ML systems while managing a team of 5-10 engineers. Drive technical strategy in a cloud-native environment during a key transition from MLflow to AWS SageMaker, supporting predictive maintenance and component lifecycle optimisation. Balance hands-on engineering with people leadership in a hybrid setup involving regular collaboration with data scientists and stakeholders.

Uniting Ambition Ruislip Manor, London, United Kingdom £100,000 – £120,000 pa

Senior MLOps Engineer

Develop and maintain MLOps infrastructure to productionise advanced AI and computer vision models, from distributed training to deployment on cloud and GPU-accelerated edge devices. Work closely with research and engineering teams to build scalable CI/CD pipelines, model registries, and monitoring systems. Operate in high-assurance environments with exposure to defence and security applications.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £75,000 – £100,000 pa

Hybrid Permanent Clearance Required

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems for internal and external customers, focusing on MLOps pipelines, distributed training, and inference performance. Build open-source tools and reference architectures to scale AI workloads on NVIDIA platforms and cloud partners. Act as a technical advisor for complex production issues across hardware, software, and infrastructure layers.

NVIDIA £292,500 – £650,000 pa

Remote Permanent

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems, focusing on MLOps pipelines, distributed training, and inference performance across cloud and on-prem environments. Collaborate with internal teams and external customers to solve complex infrastructure challenges, particularly around LLMs and new hardware integration. Build open-source tools and reference architectures to scale AI workloads effectively.

NVIDIA PLN 292,500 – PLN 650,000 pa

Platform Engineer (DevOps / MLOps Focus)

Design and maintain cloud-native infrastructure to support large-scale AI and machine learning workloads, with a focus on Kubernetes, Terraform, and platform automation. Collaborate with engineering and data science teams to optimise deployment workflows and improve platform reliability, scalability, and observability for production AI systems.

The Portfolio Group London, United Kingdom £100,000 pa

Hybrid Permanent

Machine Learning Engineer

This role involves deploying and managing machine learning models in production using Azure Machine Learning, with a focus on building and maintaining scalable MLOps infrastructure. The engineer will design CI/CD pipelines for ML artifacts, implement monitoring and security controls, and support real-time inference workloads. Collaboration with data scientists, developers, and architects is key to optimizing model performance and platform reliability.

Queen Square Recruitment Wokingham, Berkshire, United Kingdom £460 pd

Senior Specialist Solutions Architect (AI/ML)

Design and implement production-grade machine learning and AI workloads on the Databricks platform, with a focus on GenAI, MLOps, and LLMOps. Lead technical engagements with enterprise customers, build end-to-end AI pipelines, and provide expert guidance on RAG architectures, agentic systems, and AI observability. Mentor internal teams and influence product direction by representing customer needs in AI roadmap discussions.

Databricks London, United Kingdom

Hybrid Permanent

Infrastructure & Platform Specialist Solutions Architect (SSA)

Design and implement production-grade machine learning and AI workloads on the Databricks platform, with a focus on GenAI, MLOps, and LLMOps. Provide technical leadership during sales cycles by building MVPs, guiding architecture, and mentoring teams. Influence product direction and drive AI adoption through technical content and industry engagement.

Databricks London, United Kingdom

Hybrid Permanent

Machine Learning Ops Engineer

This role involves designing, deploying, and maintaining machine learning models in production using Azure Machine Learning Studio, with a focus on MLOps practices such as automated retraining, model monitoring, and pipeline integration. The engineer will collaborate with actuarial and analytics teams to improve predictions in areas like longevity and investment risk, while building scalable data pipelines using Python, SQL, and Azure Data Factory. A strong emphasis is placed on CI/CD, model lifecycle management, and translating technical outputs into actionable business insights.

Proactive Appointments London, United Kingdom £45,000 – £60,000 pa

Remote Permanent

AI Architect

Lead the design and delivery of AI-enabled services within a major public-sector programme, translating AI concepts into scalable, secure, and resilient live services. Focus on computer vision, MLOps, and cloud-native architectures across AWS, hybrid-cloud, and edge environments. Provide technical leadership and design assurance for high-volume, sensitive government systems.

eFinancialCareers London, United Kingdom £600 – £650 pd

Remote Contract

Machine Learning Engineer

Design and deploy machine learning and generative AI systems for national security applications, transitioning models from experimentation to production using AWS-based MLOps and LLMOps platforms. Develop scalable ML pipelines, LLM-powered capabilities, and robust monitoring systems while ensuring compliance with governance and responsible AI principles. Collaborate with cross-functional teams and mentor junior engineers in a high-impact, security-cleared environment.

eFinancialCareers London, United Kingdom £65,000 pa

On-site Permanent Clearance Required

Machine Learning Engineer

Design and implement automated machine learning pipelines for insurance risk modelling and pricing, focusing on tuning, deploying, and maintaining models in a DevOps/MLOps environment. Work closely with data science teams to productionize state-of-the-art methods using TDD and SOLID principles, while mentoring junior engineers and driving coding excellence across motor, home, and commercial lines.

Vermelo RPO M43Aq, United Kingdom

Platform Engineer

This role involves designing and maintaining the MLOps and deployment infrastructure that enables data scientists to transition machine learning models from exploration to production. The engineer will work across AWS, Azure, and GCP to build scalable, containerised systems using Kubernetes and infrastructure-as-code tools. The focus is on creating reliable, secure, and high-performance platforms that support client-facing AI solutions.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Applied Engineer

Develop and scale physical foundation models for AI-driven engineering simulation, bridging research and production. Work across the full stack from distributed training on multi-GPU cloud infrastructure to robust software implementation, collaborating with scientists and engineers to solve real-world physics problems. Contribute to reusable libraries and mentor team members in a high-impact, research-led environment.

PhysicsX United Kingdom

Hybrid Permanent

Senior Computer Vision Engineer - Deep Learning

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers. Translate AI research into robust, real-world applications for defence and security environments. Work across the full development lifecycle, from research to deployment on cloud and edge platforms.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £70,000 – £95,000 pa

Hybrid Permanent Clearance Required