25 of 25 Permanent MLOps Jobs in the East of England

Azure and Databricks, and familiarity with Azure DevOps tools like Boards, Repos, and Pipelines. Good knowledge of explainable AI and best practices in MLOps and LLMOps, with the ability to explain their importance. Strong programming skills in Python and SQL, with the ability to present data insights clearly to different ...

across fulfilment ranking, model delivery, offline and online evaluation, low-latency services, observability and product quality. Its published work includes shared model-serving and MLOps paths, automated evaluation and retraining, caching and telemetry, and agent-assisted release and operational workflows. What is the role? We are looking for a Senior ...

Cluster management Unity Catalog Preferred Skills Databricks Certified DataEngineer Professional/Databricks Certified Architect. Experience with: MLflow Databricks Machine Learning Feature Store Model deployment MLOps Knowledge of streamingtechnologies: Structured Streaming Kafka Experience with datagovernance, compliance,and enterprise securityframeworks. Key Competencies Strong Databricks architectureand implementation expertise. Ability to designscalableand cost-efficientLakehouse ...

track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some of the following: Experience with speech-to-text or text ...

projects, prototype GenAI, RAG, and predictive models, and build scalable pipelines with data engineers and IT teams aligned to CI/CD and MLOps standards. The role requires an advanced degree and deep Python/SQL experience, plus the ability to communicate complex analytics #J-18808-Ljbffr ...

Scalable Pipelines:** Partner with data engineers and global IT teams to ensure AI solutions are scalable, secure, and integrated with CI/CD and MLOps standards.* **Bridge Tech and Strategy:** Translate complex algorithmic outputs and statistical concepts into clear, high-impact business strategies for senior stakeholders.* **Advance Technical Excellence:** Stay ...

Scalable Pipelines: Partner with data engineers and global IT teams to ensure AI solutions are scalable, secure, and integrated with CI/CD and MLOps standards. Bridge Tech and Strategy: Translate complex algorithmic outputs and statistical concepts into clear, high-impact business strategies for senior stakeholders. Advance Technical Excellence: Stay ...

OpenAI Agents or Microsoft Copilot Studio. AI agent and multi-agent solution delivery. Model Context Protocol (MCP). AI testing, observability and evaluation frameworks. MLOps, LLMOps and AI governance. Experience within regulated or mission-critical environments. Key Responsibilities Define and deliver the AI platform strategy. Lead scalable AI infrastructure, tooling ...

assurance environments (e.g. financial services). An understanding of the latest AI safety research and active involvement in that community. Deep knowledge of modern MLOps practices, CI/CD, and large-scale deployments. A collaborative and supportive work environment The opportunity to have a high impact in a growing organisation ...

cross‐functional work collaborating with other teams. Strong communicator – able to explain complex technical concepts to different audiences. Experience in one or more of: MLOps for Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA ...

cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Experience in one or more of: MLOps for Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA ...

optimisation The ability to debug and improve model performance systematically Also Valued Knowledge of distributed training or large‐scale data processing Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning) A background in applied research or publishing Familiarity with retrieval systems, embeddings or ranking models Ideally ...

optimisation The ability to debug and improve model performance systematically Also Valued Knowledge of distributed training or large-scale data processing Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning) A background in applied research or publishing Familiarity with retrieval systems, embeddings or ranking models Ideally ...

datasets to solve business challenges. Experience within insurance, financial services, or another regulated environment would be beneficial, as would exposure to cloud platforms (AWS), MLOps, GenAI technologies, or equivalent relevant experience. Whatyou'llget for this role: Our purpose - with you today, for a better tomorrow - is a promise we make ...

quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps - model deployment, monitoring, and retraining in production Experience building propensity or scoring models that integrate into CRM/CS platforms Familiarity with industrial software or enterprise SaaS ...

teams. The role requires a Master’s or PhD in a quantitative field, deep Python/SQL expertise, and strong skills in causal inference, MLOps, and communicating complex concepts to senior #J-18808-Ljbffr ...

develop offerings, and guide the AI strategy and governance for a diverse client base. You will act as a subject-matter expert across GenAI, MLops, data pipelines, and deployment platforms, while mentoring the architect team and fostering innovation within the AI proposition. #J-18808-Ljbffr ...

production ML—owning problems end-to-end to accelerate model delivery. You’ll collaborate with the ML team to improve data quality, observability, and MLOps practices, while scaling infrastructure for faster iteration and reliability. #J-18808-Ljbffr ...

technology to find innovative and new ways of working. You should be able to demonstrate: Significant experience working as a System Administrator, HPC Engineer, MLOps Engineer or equivalent technical role Modern GPU server deployment, tuning and management Advanced networking technologies (Infiniband, RDMA, RoCE) Advanced Linux skills and experience working with ...

customers. They will be subject matter experts in the areas of Predicative AI, Machine Learning, Generative AI along with associated capabilities in areas like MLops, Data Pipelines, and DevOps. The role will interface directly with the customers' business, data science and IT Operations teams to establish CDW credibility and position … learning, lab time and formal training. What you will do Position CDW Custom AI capabilities - Engage with all Customer AI personas: technical personas (CDO, MLOps, AI/ML Engineer, Data Scientist), outcome-driven personas (CEO, CTO, LOB) and ITDMs (CIO, VP Infrastructure). Technical SME on CDW Custom AI – Maintain ...

several of the following areas would be advantageous: * Agentic AI * AI Agents & Autonomous Workflows * Generative AI & LLMs * Retrieval Augmented Generation (RAG) * Multi-Agent Systems * MLOps/LLMOps * LangGraph, LangChain, Semantic Kernel, CrewAI or AutoGen * OpenAI Agents, Microsoft Copilot Studio and MCP * Azure, AWS or GCP Education * 2:1 degree … Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

issues early and keep things running smoothly Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with … quality practices (validation, cleaning, normalisation) and/or production-grade observability Ability to design resilient, scalable architectures, and comfort operating and troubleshooting distributed systems MLOps experience, for example model serving, experiment tracking, GPU/distributed training optimisation, or reproducible ML workflows A self-starter mentality: comfortable identifying problems and driving ...

Senior Data Science Manager – Strategic Data Solutions Cambridge, Massachusetts, United States Corporate Functions Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder ...

Intellectual Capital Resources Ltd is seeking a senior MLOps/System Administration engineer to join their growing tech team. You will provision and maintain multi-rack GPU server clusters for inference and training workloads, enabling cutting-edge AI and deeptech research. This hands-on role sits in a small team ...

exciting growing tech company focused on building cloud platform services for the AI and deeptech research community. They are looking to expand their MLOps and System Administration team by hiring a further senior engineer, to continue building/supporting their infrastructure, which is used for research and development. The role … pivotal role in achieving success for this company. Key skills/experience required: Significant engineering experience in roles such as System Administration, HPC Engineering, MLOps Engineering Modern GPU server deployment, tuning and management Advanced networking technologies (Infiniband, RDMA, RoCE) Advanced Linux skills and experience working with servers running hypervisors/ ...