101 to 115 of 115 MLOps Jobs in the UK excluding London

Senior AI Transformation Leader - London (Hybrid) - Up to £115,000 An established organisation delivering AI and digital transformation solutions is seeking a Senior AI Transformation Leader to support the growth of its Telecoms, Media & Technology ...

End Date: Sunday 31 May 2026. Salary Range: £90,440 - £106,400. Flexible working is supported. Salary: £90,440 - £106,400. Location: London, Bristol, Leeds, Manchester or Edinburgh. Working pattern: Hybrid, 40% (or two days ...

Senior AI Platform Engineer (MLOps/ML Infrastructure) Location: Bristol (On-Site) Job Type: Full-Time, Permanent Salary: Dependent on Experience (DOE) The Opportunity Our client is building next-generation intelligent robotic systems and is seeking a Senior AI Platform Engineer to own and scale the machine learning infrastructure that … with training pipelines and distributed workloads Docker and containerisation expertise Experience with cloud platforms (GCP preferred) Infrastructure-as-Code experience (Terraform preferred) Desirable Experience MLOps for robotics, autonomous systems or embodied AI Kubeflow, SkyPilot or similar tooling ONNX and TensorRT deployment MLflow or experiment tracking platforms Event-driven architectures ...

architecture and engineering approach on complex, production-grade AI pipelines The full Applied AI stack - large language models, prompt engineering, RAG, vector databases and MLOps - across secure, enterprise-scale deployments Responsible AI frameworks, embedding governance for model risk, privacy, bias and human oversight into delivery A growing team, contributing … Technology, Media or Telecommunications sectors Strong commercial understanding of generative AI and the modern AI stack, including LLMs, prompt engineering, RAG, vector databases and MLOps Experience leading delivery of production AI solutions, with accountability for outcomes and direction of architecture and engineering teams Practical application of AI in areas such ...

Job Descriptionhackajob is collaborating with AND Digital to connect them with exceptional professionals for this role.\ NWho We Are:\ NAND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the ...

Job Description hackajob is collaborating with AND Digital to connect them with exceptional professionals for this role. If you want to know about the requirements for this role, read on for all the relevant information. ...

into the engineering lead and collaborating to set strategy and direction. AIE comprises two sub-teams: a platform team that builds the AI and MLOps capabilities developers across ICB use to take models and agents from experiment to production, and a team that builds internal AI agents and assistants that … verbal communication skills in English.Bias to action; executes with urgency, discipline, and quality. Preferred qualifications, capabilities & skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores.Familiarity with AI concepts, such as Retrieval-Augmented Generation ...

into the engineering lead and collaborating to set strategy and direction. AIE comprises two sub-teams: a platform team that builds the AI and MLOps capabilities developers across ICB use to take models and agents from experiment to production, and a team that builds internal AI agents and assistants that … communication skills in English. Bias to action; executes with urgency, discipline, and quality. Preferred qualifications, capabilities & skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores. Familiarity with AI concepts, such as Retrieval-Augmented ...

Establish end-to-end observability across AI systems, including monitoring, logging, tracing, and performance tracking (latency, cost, quality). Implement and manage LLMOps and MLOps practices, including CI/CD pipelines, model and prompt versioning, and deployment strategies. Embed security, governance, cost controls, and Responsible AI guardrails into the platform … management at scale. Hands-on experience with cloud platforms (AWS, Azure) and modern infrastructure (e.g., containers, Kubernetes, CI/CD pipelines). Experience with MLOps/LLMOps or supporting AI/ML systems in production environments. Solid understanding of security, governance, and cost management within cloud-based platforms. Experience working ...

deploy automated pipelines for ML solutionsLeverage foundational libraries and services for re-use across teamsApply best practices in software engineering and computer scienceUtilize MLOps tools for versioning, reproducibility, and observabilityAlign ML problem definitions with business objectivesMentor and support team members, with optional management responsibilities Required Qualifications, Capabilities, and Skills: Experience … testing, and deployment pipelinesFamiliarity with higher-level interfaces like Pydantic AI and LangraphStrong understanding of computer science fundamentals and development best practicesBroad knowledge of MLOps tooling for versioning, reproducibility, and observabilityAbility to understand business objectives and align ML problem definitions Preferred Qualifications, Capabilities, and Skills: Experience mentoring or leading teams ...

pipelines for ML solutions Leverage foundational libraries and services for re-use across teams Apply best practices in software engineering and computer science Utilize MLOps tools for versioning, reproducibility, and observability Align ML problem definitions with business objectives Mentor and support team members, with optional management responsibilities Required Qualifications, Capabilities … pipelines Familiarity with higher-level interfaces like Pydantic AI and Langraph Strong understanding of computer science fundamentals and development best practices Broad knowledge of MLOps tooling for versioning, reproducibility, and observability Ability to understand business objectives and align ML problem definitions Preferred Qualifications, Capabilities, and Skills: Experience mentoring or leading ...

Job Title: DevOps Engineer Location: Durrington, hybrid Contract Type: Permanent Hours: 37 per week Salary: from £50k About the role We're looking for a forward-thinking DevOps Engineer to play a key role in ...

engineering teams Developing and deploying AI/ML features into live products Implementing anomaly detection or predictive analytics on structured operational data Managing MLOps including deployment pipelines, model monitoring, and retraining Designing REST APIs and integrating MCP patterns Contributing to a structured product roadmap Job Requirements: Experience in software engineering … anomaly detection or predictive analytics Proficiency in Python and TypeScript/JavaScript Experience with REST API design and MCP integration patterns Knowledge of MLOps practices Understanding of graph-based dependency or impact analysis (desirable) Experience with AI features in compliance or governance contexts (desirable) Familiarity with SAP BTP (desirable) Benefits ...

Machine Learning Engineer, key skills: Strong hands-on experience with Snowflake ML Python expertise - Scikit-Learn, TensorFlow, Pytorch etc Strong understanding of model deployment MLOps - experienced in designing and implementing MLOps frameworks and best practices Strong stakeholder management AWS Sagemaker is a nice to have Experience with feature stores, model … registries and ML obserability tooling Machine Learning Engineer, Snowflake ML, Python, MLOps, Sagemaker Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven ...

capabilities including LLM-powered and generative experiences Setting technical direction across modelling, evaluation and ML lifecycle management Partnering closely with Product, Engineering and MLOps teams Improving scalability, observability and speed-to-production across ML systems Leading and developing a high-performing team of ML specialists and leaders Acting … interest in LLMs, generative AI and AI-powered customer experiences Excellent stakeholder management and communication skills Strong cross-functional collaboration across Product, Engineering and MLOps Why This Role? Opportunity to define the future of ML & AI within a major consumer platform High visibility and influence across Product, Technology and Commercial ...