351 to 375 of 635 MLOps Jobs in the UK

continuous improvement. You will work across traditional machine learning techniques alongside generative AI, LLM-based applications and agentic workflows, applying AWS technologies and robust MLOps practices to deliver scalable, reliable solutions. Working closely with technical teams, business stakeholders and subject matter experts, this role offers real variety, genuine ownership … pipelines ensuring data quality and accessibility for modelling purposes Deploy machine learning models to production environments on AWS, ensuring reliability and performance Contribute to MLOps practices including CI/CD pipelines, model monitoring, data drift detection and model retraining Partner with product teams and stakeholders to translate business requirements into ...

deploying machine learning solutions into cloud-native production environments Experience with containerisation technologies such as Docker and orchestration platforms including Kubernetes Knowledge of modern MLOps practices including CI/CD, version control (Git) and infrastructure automation Experience working with cloud platforms and modern data ecosystems (Azure and Databricks experience beneficial … solutions in a commercial environment Experience deploying machine learning models within regulated industries such as financial services or insurance Exposure to enterprise-scale MLOps and cloud infrastructure Experience contributing to platform architecture and engineering best practices ...

delivery of AI projects end to end from the silicon and data center design that underpins AI workloads, through the software and MLOps stack, to the governance frameworks that make AI trustworthy and defensible at scale. This is a technical hardware-and-software architect role, not a strategy-only position. … parallel/high-throughput storage, and orchestration Design the AI software stack: training and fine-tuning pipelines, distributed training frameworks, inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures. Define and AI governance frameworks covering model risk management, responsible AI, data ...

integrations Fine‐tune, optimize, and deploy large language and multi‐modal models with a focus on scalability, reliability, and low‐latency performance Build scalable MLOps pipelines and cloud‐native AI applications to support secure, production‐grade deployments Collaborate with clients and cross‐functional teams to shape AI engineering strategy … enterprise or large‐scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud‐native AI deployment architectures Excellent communication, stakeholder management, and problem‐solving skills within agile delivery environments Bonus Points ...

enterprise data integrationsFine-tune, optimize, and deploy large language and multi-modal models with a focus on scalability, reliability, and low-latency performanceBuild scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deploymentsCollaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate … models within enterprise or large-scale production environmentsStrong software engineering expertise in Python, including backend development, API design, and distributed systemsSolid understanding of scalable MLOps, observability, CI/CD practices, and cloud-native AI deployment architecturesExcellent communication, stakeholder management, and problem-solving skills within agile delivery environmentsBonus Points ForExperience building ...

workflows. Oversee the full technical lifecycle, from solution design and model selection through to deployment, monitoring and continuous improvement. Design and implement robust MLOps and LLMOps practices, including CI/CD, model monitoring, evaluation and governance. Deploy and optimise models using cloud-based AI services such as AWS Bedrock, Azure … LangChain, LangGraph or similar open-source AI toolkits . Experience fine-tuning, evaluating, deploying and monitoring large-scale AI systems. Strong understanding of MLOps and/or LLMOps , including CI/CD, model deployment, monitoring, evaluation and governance. Experience designing AI systems with a strong focus on security, responsible ...

/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing … culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience ...

emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the businessDrive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelinesCollaborate with enterprise platform and data science teams, contributing … engineers, fostering a culture of continuous learningWhat we're looking forDeep expertise in Python and ML engineeringDeep expertise in ML/AI systems design, MLOps, and cloud-native architecturesTrack record of leading ML/AI technical initiatives across multiple teamsStrong experience with cloud platforms (AWS, Azure, GCP)Experience with ...

Microsoft Fabric where appropriate for data preparation, experimentation and deployment support. Follow good engineering practices for version control, testing, documentation and reproducibility. Contribute to MLOps ways of working, including model versioning, deployment handover and performance monitoring. Consider model explainability, data quality, bias, privacy and responsible AI implications where relevant. What … work collaboratively in mixed technical and business teams. Nice to have: Exposure to pilot or production deployment of machine learning models. Good understanding of MLOps concepts such as versioning, reproducibility, monitoring and deployment handover. Experience with at least one modern cloud data or analytics platform, such as Snowflake, Databricks, Microsoft ...

Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost-effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. … data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/ ...

Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost-effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. … data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/ ...

About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide ...

About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide ...

About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide ...

About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide ...

About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide ...

About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide ...

Make your mark at one of the biggest names in payments. We're looking for an AI Engineer to join our AI Innovation & Technology team . You'll work at the forefront of AI, exploring ...

Ready to take your career global Make your mark at one of the biggest names in payments. We're looking for an AI Engineer to join our AI Innovation & Technology team. You'll work at ...

Forward Deployed Engineer to design, deploy, and scale GenAI, NLP, and ML solutions across the full lifecycle. You will combine software engineering, ML, and MLOps/LLMOps to deliver production-ready AI products with strong security and observability. You will work across experimentation to deployment, building scalable AI services ...

GenAI initiatives, building LLM-based applications, prompts, fine-tuning and retrieval augmented generation for enterprise use cases. You will collaborate with data engineers and MLOps, deploy AI workflows via APIs or web apps, and stay at the forefront of GenAI with tools like LangChain, Hugging Face and OpenAI, ensuring scalable ...

powering highly personalised customer experiences, including recommendation algorithms, retrieval systems and LLM-powered conversational AI. You will work closely with Product Managers, Engineers and MLOps to move ideas from experimentation into #J-18808-Ljbffr ...

involves designing, deploying, and optimising machine learning models and AI workflows within Azure. The ideal candidate will have experience with Azure Databricks, LangChain, and MLOps practices. The role offers an attractive salary of up to £82,000, an annual performance bonus, and a comprehensive benefits package including private medical insurance ...

exposure is beneficial Why Join? Up to £90,000 + 7% bonus Hybrid working (2 days/week) High commercial ownership and visibility Dedicated MLOps support Opportunity to shape strategy through machine learning If you're looking for a role where your models directly influence customer experience, commercial performance ...

/ML lifecycles **Strong experience with data quality, metadata management, master data management, knowledge graphs, or data products **Familiarity with Generative AI, MLOps, AI governance, model risk management, and responsible AI frameworks Bonus: **Background in financial services, risk, ratings, or regulated data environments Immediate start date. If interested, please apply ...