76 to 100 of 269 MLOps Jobs in England

into enterprise platforms Collaborating closely with business stakeholders to translate requirements into scalable AI solutions Driving best practice across AI governance, model monitoring and MLOps Evaluating emerging AI technologies and identifying opportunities for innovation Skills & Experience We're looking for candidates with experience across several of the following: Commercial experience … learn Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex Hands-on experience building RAG solutions and working with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with ...

architectures and tool invocation frameworks Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect) Strong understanding of AI/ML lifecycle, MLOps, and data governance Experience working with Tier-1 banks or large financial institutions Certifications Google Cloud Professional Data Engineer (Highly Preferred) Google Professional Cloud Architect ...

Experience: Strong commercial understanding of the modern AI ecosystem, including: Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases MLOps Experience leading the implementation of enterprise-scale AI solutions and being accountable for delivery outcomes. Knowledge of cloud platforms such as AWS, Azure ...

Experience: Strong commercial understanding of the modern AI ecosystem, including: Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases MLOps Experience leading the implementation of enterprise-scale AI solutions and being accountable for delivery outcomes. Knowledge of cloud platforms such as AWS, Azure ...

Mathematics Computer Science or a related quantitative discipline Desirable Skills for the Data Scientist: Experience with deep learning frameworks advanced modelling techniques Familiarity with MLOps concepts model monitoring deployment pipelines Exposure to tools such as Databricks MLflow feature stores Experience working in Agile product-led delivery environments Understanding of data ...

integration (APIs, microservices, messaging) and distributed systems Hands‐on experience with Microsoft Power Platform and low-code automation ecosystems Solid understanding of ML, GenAI, MLOps and DevOps practices A track record of influencing stakeholders and shaping technical strategy in complex environments The ability to simplify the complex and communicate with ...

growth over the last few years and we’re looking to continue with this momentum as we build on our reputation as Open Source MLOps experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. What we’re looking for The ideal candidate … knack for creative problem solving. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you’ll also enjoy being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps, and taking pride ...

impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows. Demonstrated leadership working with engineers, data scientists, and AI practitioners. Familiarity with MLOps practices and AI pipelines. Hands‐on experience building and maintaining user interfaces for NLQ and data exploration. Equal Employment Opportunity Statement We are an equal ...

modern AI technologies and concepts, including: Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases AI Solution Architecture MLOps Principles AI Governance and Risk Considerations Candidates are not expected to be hands-on developers but should be capable of guiding technical teams and contributing ...

approaches Agent-based architectures A practical understanding of how to apply LLMs to real-world use cases Tools & Engineering Experience with model deployment and MLOps tools (e.g. Databricks, MLflow) Familiarity with version control (Git) and collaborative development practices Awareness of best practices in code quality and reproducibility Communication & Consulting Ability ...

Large Language Models (LLMs) with proprietary OT data, maintenance manuals, and historian logs for intelligent operator assistance and automated root-cause analysis. Edge AI & MLOps: Operationalize lightweight machine learning models as containerized Azure IoT Edge modules to execute real-time anomaly detection, predictive maintenance, and closed-loop control tasks directly ...

generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also has dedicated MLOps, Infra and Inference support at scale. We focus on improving the long horizon, goal-conditioned instruction-following of large models for GUI/Computer ...

delivers.* You enjoy working collaboratively with Product Owners, Engineers, Analysts and business stakeholders to solve meaningful problems.* Experience with cloud-based Machine Learning platforms, MLOps, LLMs or Agentic AI is advantageous, although we're more interested in your ability to learn quickly and apply new technologies to solve business problems. ...

Belt. Experience building process digital twins and always-on conformance/monitoring capabilities. Familiarity with GenAI/LLMs, NLP, CV, RAG, knowledge graphs, and MLOps/LLMOps, and how they reshape process design. Knowledge of emerging regulatory expectations for AI in regulated industries. Risk, monitoring, bias/fairness, and incident ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...

learning frameworks, and Generative AI/LLM components. Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, and scalable data processing streams. MLOps: Implement model deployment, monitoring, testing, and lifecycle management using standard CI/CD and containerized workflows. Architecture: Contribute to technical design decisions, trade-off analyses … Azure, or GCP) using Docker and Kubernetes. Engineering: Strong software engineering fundamentals, including version control, testing, and API/microservices architecture. Experience with MLOps platforms (e.g., MLflow, SageMaker) or agentic AI frameworks. Familiarity with secure development practices or regulated/high-compliance environments. Background in NLP, computer vision, or data ...

applications. You’ll drive end-to-end development from discovery to production, work across voice, vision, and text, and leverage LangChain, LlamaIndex, and modern MLOps on AWS/Azure/GCP to deliver scalable, observable AI solutions at scale. #J-18808-Ljbffr ...

Azure Machine Learning. Define data platform architecture, analytics pipelines, and enterprise integration patterns. Collaborate with engineering teams to implement CI/CD and MLOps best practices. Provide technical leadership, governance, and architectural guidance to stakeholders and delivery teams. Essential Skills Strong enterprise architecture experience across AWS, Azure, and hybrid/ ...

engineering excellence across the team. Partner with sales and tech leadership to define requirements for high‐value opportunities, deploying specialized experts (Machine Learning Operations (MLOps), Generative Media (GenMedia), or Agentic systems) to key accounts. Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills ...

AI. Build POVs and architecture options that balance business value, feasibility, and cost. Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design. Thought Leadership, GTM & Vertical Expertise Represent Datatonic on site at client, at events, conferences, partner sessions, and executive ...

quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing models over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics ...

technical or business field. Bonus qualifications: Experience with AI accelerators or GPUs LLM fine-tuning or inference knowledge Familiarity with Sambanova products or similar MLOps platforms Enterprise SaaS or PaaS background MBA or advanced technical degree Base Salary Range: £94,500 - £115,000 GBP #J-18808-Ljbffr ...

integration challenges of deploying AI within regulated market systems.* Strong command of modern AI capabilities: LLMs, agentic frameworks, RAG, ML inference, and MLOps, sufficient to lead technical teams and challenge engineering decisions.* Demonstrated ability to drive AI adoption at scale, navigating organisational complexity, change management, and business stakeholder alignment.* Exceptional ...