Latest mlops Jobs

MLOps Engineer

Design and operate a secure, scalable AI platform infrastructure, building CI/CD pipelines and deployment workflows in collaboration with data science and engineering teams. Implement observability, automate infrastructure using IaC, and ensure high availability and compliance. Focus on performance, cost efficiency, and seamless integration of AI workloads and agents.

DGH Recruitment London, City And County Of the City Of London, United Kingdom £80,000 – £100,000 pa

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

MLOps Engineer

This role involves owning and developing the MLOps infrastructure for a growing AI platform, building and maintaining orchestration pipelines, deploying and managing ML workloads on Kubernetes and cloud platforms, and working closely with data scientists and AI teams to scale deployments.

Harnham - Data and Analytics Recruitment London, United Kingdom £75,000 – £85,000 pa
NVIDIA logo

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
NVIDIA logo

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

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

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
Databricks logo

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
Databricks logo

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

Senior Machine Learning Engineer

Senior Machine Learning EngineerSalary: £80,000 - £90,000Location: London|HybridData Idols are working with an innovative technology business that is continuing to invest in its Machine Learning and AI capabilities. They are looking for a Senior Machine Learning Engineer to help build,...

Data Idols London, United Kingdom £80,000 – £90,000 pa

Staff ML Engineer | Agentic AI & Applied ML | London | |

Design and implement production-grade AI and ML systems with a focus on Agentic AI, RAG, and LangGraph/LangChain patterns. Drive engineering standards, observability, and safe deployment of complex AI solutions across multiple teams. Work in a regulated environment to establish MLOps best practices and support AI-assisted development workflows.

WeDoTech Bunhill, London, United Kingdom £800 – £1,000 pd
Hybrid Contract

Senior Architect – GCP , GenAI & Agentic AI

Design and lead the architecture of enterprise-scale Generative AI and Agentic AI solutions on Google Cloud Platform. Define technical strategy, establish architecture standards, and ensure production-ready deployment of LLMs, RAG, and multi-agent systems. Work across AI/ML lifecycle with a focus on scalability, security, and measurable business impact.

PRACYVA United Kingdom £55 – £600 pd

Lead AI Engineer

This role involves designing and implementing AI solutions to improve operational efficiency, defining LLM architecture, and building AI tools like assistants and workflow automation. You will work within an Azure cloud environment, applying best practices in MLOps and DevOps, and collaborate closely with product teams and senior leadership.

Harnham - Data and Analytics Recruitment London, United Kingdom £85,000 – £95,000 pa
Hybrid Permanent

Analytics Platform Engineer

This role involves designing, building, testing, and evolving scalable analytics platforms to support mission-critical solutions. You'll work on cloud migration, data management, and provide hands-on engineering support to Data Scientists and MLOps teams, tackling complex technical challenges and adapting to new technologies.

Oscar Technology Cheltenham, United Kingdom £70,000 – £90,000 pa

Senior DevSecOps Engineer

This role involves designing and delivering secure CI/CD pipelines, building and supporting Kubernetes/container platforms, and embedding security controls into engineering workflows. You'll work in a technically challenging environment, collaborating with data and AI teams to improve platform reliability and deployment standards.

SF Partners North West England, United Kingdom £80,000 – £95,000 pa