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

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

Senior MLOps Engineer 201043

This role involves building and maintaining cloud infrastructure to support machine learning and AI services, deploying and managing models using Azure ML and AKS, and developing robust orchestration pipelines. You will collaborate with data scientists and engineers to ensure scalable and secure deployment, while contributing to AI governance and best practices.

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

Senior ML Ops Engineer

As a Senior MLOps Engineer, you will design and maintain scalable MLOps infrastructure, deploy and manage machine learning models using Azure ML and AKS, and build CI/CD pipelines. You will also implement observability and monitoring frameworks, and collaborate with engineering and delivery teams to support AI solutions.

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

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 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

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

AI (Machine Learning)Engineer

AI/ML Engineer (SC Cleared)Salary:Up to £85,000 + BenefitsLocations:Bristol, Cheadle (Stockport), Glasgow, Reading or CrawleyWorking Pattern:HybridSecurity Clearance:Active SC Clearance RequiredAkkodis is currently recruiting for two experienced AI/ML Engineers to design, develop and deploy secure AI solutions for autonomous and mission-critical systems.The...

Akkodis Bristol, United Kingdom £80,000 – £85,000 pa

Senior Machine Learning Engineer

Senior Machine Learning Engineer | Cambridge / Hybrid | £80,000–£120,000 + BonusJoin a fast-growing FinTech/InsurTech company in Cambridge that is transforming how financial and insurance products are built using machine learning and data-driven decision-making.Their platform leverages advanced ML models to...

Platform Recruitment Cambridge, 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

Cyber Security Specialist

This role involves collaborating with teams to secure AI and Machine Learning solutions, conducting threat modelling, and ensuring compliance with security standards. The position offers exposure to cutting-edge AI technologies and a dynamic, collaborative environment.

Adecco Manchester, United Kingdom £600 pd

Hybrid Contract