351 to 375 of 601 MLOps Jobs in England

utilisation by addressing bottlenecks across compute, memory and data pipelines; collaborate with energy teams on power-aware scheduling Architect scalable AI platforms integrating MLOps frameworks, automation tools and reusable assets Develop repeatable AI/HPC offerings, contribute to solution roadmaps and establish strategic partnerships with major ecosystem players Track industry ...

using Azure diagnostics and monitoring tools, such as Azure Monitor, Application Insights, or similar services Finetune or optimize SQL query used in application and MLOps for better performance. Monitor and troubleshoot application issues, perform root cause analysis, and implement necessary fixes or improvements Key Requirements: Total Experience: 6-8 Years ...

technical advisory, translating complex infrastructure trade‐offs into clear, defensible recommendations tied to business outcomes. Define monitoring, observability, and reliability strategy across InfraOps and MLOps, and implement the instrumentation, SLAs, SLOs, and cost/performance governance for production AI/ML systems. Ensure enterprise integration, security, compliance, and regulatory alignment ...

into useful, validated models. Strong Python or R skills, including production-quality, version-controlled code. Experience with cloud data platforms (we use Snowflake) and MLOps practices. This is an opportunity to build a new capability from the ground up and shape how QIMA uses its biological data. You will have ...

with version control (e.g., Git) and collaborative development Experience in using computing environments Strong problem-solving skills and willingness to learn Desirable: Familiarity with MLOps tools (e.g. MLflow, Weights & Biases) Exposure to natural language processing (LLMs, agents), computer vision, or reinforcement learning We actively recruit citizens of all backgrounds ...

Lambda, IAM, VPC, KMS, or Bedrock. Experience developing or contributing to scalable architectures for data-driven products or services. Experience working with MLOps practices or machine learning workflows. Experience with containerisation and orchestration technologies. Familiarity with machine learning concepts, statistical techniques, or machine learning frameworks, and experience collaborating with data ...

technical delivery while also leading multiple projects or workstreams in parallel. Desirable • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. • Experience in regulated, enterprise or operationally complex environments. • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. • Experience ...

data. Good communication skills, comfortable working with engineers and presenting to leadership. Desirable Experience in AI/ML, autonomous vehicles, or robotics. Familiarity with MLOps methodologies and tooling. Experience with ML evaluation practices and tooling — especially for physical systems: simulation, model leaderboards, statistically powered experiments (e.g. A/ ...

engineering, version control and automated testing Data preparation, feature engineering and data quality techniques Machine learning methods, model selection, training and evaluation Deployment patterns, MLOps, monitoring and lifecycle management Cloud, compute and development tools used to deliver AI solutions Responsible AI, security, privacy, safety and regulatory considerations Structured approaches ...

Infrastructure Strategy & Automation: Define the infrastructure roadmap for AI/ML workloads and automate provisioning across cloud environments using Infrastructure as Code (IaC). MLOps & LLMOps Engineering: Architect, maintain, and optimise robust MLOps/LLMOps pipelines and CI/CD frameworks for continuous model deployment. GenAI Production Deployment: Deploy Large ...

3004 Avanade UK Limited Company is seeking an Azure Data Support Engineer based in London or Newcastle. The successful candidate will support Azure data solutions and manage CI/CD pipelines, ensuring robust performance. This ...

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

Advanced Python development skills. Experience building scalable AI services and APIs. Strong backend development and integration experience. Knowledge of software engineering best practices and MLOps workflows. Cloud & Infrastructure Experience with Microsoft Azure (preferred), AWS, or Google Cloud Platform. Containerisation using Docker. Orchestration using Kubernetes and/or Azure Kubernetes Service … Desirable Skills: Generative AI product development. Computer Vision and image understanding systems. AI agent frameworks and autonomous workflows. Knowledge graphs and semantic retrieval systems. MLOps and model deployment pipelines. Team leadership or technical management experience. Why join us? We bring together entrepreneurial, tech-driven people to deliver innovative solutions ...

Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions. A key aspect to the role is to balance rapid experimentation with … methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such ...

Senior Machine Learning Platform/Ops Engineer Location London Employment Type Full time Location Type Hybrid Department We power people’s progress. At Preply, we’re all about creating life-changing learning experiences. We help ...

Senior MLOps Engineer London (Hybrid) | Salary: up to £85,000 This is an opportunity to join a growing AI and data organisation where your work will directly support the deployment, scalability, and reliability of innovative machine learning solutions. You will play a pivotal role in building the infrastructure that enables … enable successful AI delivery. Contribute to AI governance, best practices, and responsible AI principles across the organisation. Your Skills & Experience Strong commercial experience within MLOps, Platform Engineering, or Infrastructure Engineering supporting machine learning systems. Advanced Python programming skills with a strong software engineering mindset. Hands-on experience with Azure-native ...

APIs and services that accelerate AI delivery across multiple teams. Evaluate emerging technologies and establish best practices for the adoption of AI at scale. MLOps & LLMOps Design and implement MLOps and LLMOps frameworks supporting the full model lifecycle. Establish standards for model deployment, versioning, evaluation, monitoring and observability. Improve reproducibility ...

/AI solutions across client projects. You will collaborate with data scientists, engineers and consultants from data preparation to production monitoring. Role emphasizes MLOps, governance, and ethical AI, with mentorship of junior team members. Hybrid working and a broad benefits package are provided. #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 ...

deliver and industrialize data science products across Retail & eCommerce. The role supports the data science platform, running with Managed Services, and shapes the MLOps framework for cross-functional teams. The ideal candidate has 10+ years in Data & Analytics, hands-on Azure Databricks, and leadership experience across global teams. Hybrid working ...

Machine Learning Engineering Lead to design, deploy and operate production AI/ML services for legal research and analytics. The role emphasizes architecture direction, MLOps, responsible AI, and AWS-based delivery, with no direct reports. You will mentor engineers, drive reusable ML patterns, and ensure high quality, scalable systems while ...

code, CI/CD pipelines, containerisation and cloud governance to ensure platforms are secure, scalable and auditable, with close collaboration to data engineers, MLOps engineers and solution architects. #J-18808-Ljbffr ...

solution lifecycle, from needs assessment to deployment and value realization. You will work with Deep Learning, Generative AI, and LLMs, creating scalable data and MLOps pipelines for training and production, while ensuring quality and reliability of deployed #J-18808-Ljbffr ...

deploy AI-powered CV/vision solutions in a hybrid North London setting. You will build scalable data pipelines, fine-tune models, and apply MLOps across the lifecycle to ensure high-quality, responsible AI. You will collaborate with product and cloud teams to deliver secure, scalable AI that enhances customer ...

CODAS project and related initiatives at AND-E Lab. Ideal candidates have 5+ years in ML/AI, strong Python, cloud/MLOps experience, and a collaborative mindset to work with partners and stakeholders across experiments and #J-18808-Ljbffr ...