401 to 425 of 704 MLOps Jobs in the UK

Chase in London is seeking a Software Engineer III to design, build, and deploy scalable AI/ML solutions within the International Consumer Bank MLOps team. You will collaborate with data scientists, PMs, and engineers to translate business initiatives into robust, customer-focused systems. You will deploy secure, reliable ...

models, deploy generative AI solutions, and work with stakeholders to translate business needs into technical solutions. The role emphasizes collaboration, cloud deployment on AWS, MLOps, and mentoring, with opportunities to grow in an inclusive, distributed team focused on real-world problems such as fraud #J-18808-Ljbffr ...

deploy scalable solutions that drive real business value. You will master Python, SQL and cloud platforms, work on generative AI, AI governance and MLOps, gaining hands-on experience across fraud detection, credit risk and customer analytics in a supportive, ethics-first environment. #J-18808-Ljbffr ...

digital banking innovation and is shaping the future of financial services with AI/ML. As Lead Software Engineer in the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that empower data scientists and product teams to deliver secure, customer-focused systems. ...

agentic technologies, end‐to‐end. Skills and Experience Proven leadership experience in Gen AI delivery Hands‐on technical understanding of modern AI tooling, MLOps, and model deployment and generative/agentic AI frameworks Commercial mindset, experience bringing AI, including generative, use cases into production Strong communication skills and the ability ...

architectural expertise across AWS and Azure, alongside experience with modern data platforms such as Snowflake and Databricks. Experience with AI/ML, MLOps and responsible AI is important, as is the ability to operate confidently with both technical teams and senior business stakeholders. We're looking for someone ...

C#/.NET services. Performance & Scalability : Optimize GPU/CPU utilization, batching strategies, and memory management. Plan for multi-model and multi-tenant scenarios. MLOps & Lifecycle Management : Implement model versioning, artifact registries, and deployment workflows. Set up monitoring, logging, and alerting for solver performance. Security & Compliance : Apply best practices ...

track record overseeing budgets, risk governance and influencing contractual terms Practical knowledge of modern data platforms, AI and Generative AI concepts (Machine Learning, LLMs, MLOps) sufficient to challenge and assess technical proposals Awareness of regulatory and ethical considerations in data and AI, including data protection and responsible AI adoption Excellent ...

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 ...

highly regulated industries like financial services Strong knowledge of modern AI architectures, retrieval, agents, evaluation and human-in-the-loop design Experience with MLOps or LLMOps, continuous integration and delivery, testing, observability and production operations Evidence of defining agile delivery methods, standards, reusable patterns or developer enablement across more than ...

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 ...

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 ...

Speechmatics is seeking an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models—pipelines for sourcing training data and a platform that trains, evaluates, and serves models in production. This ...

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 ...

security considerations. Experience using Git and modern software development practices including testing and continuous integration. Knowledge of Agile development methodologies and DevOps/MLOps principles. Strong stakeholder engagement and communication skills with both technical and nontechnical audiences. Degree, Master's qualification or equivalent experience in Artificial Intelligence, Software Engineering, Data … software in C++ within safety-critical environments. Experience defining solution architectures or technical governance. Familiarity with large-scale data management and data-labelling strategies. MLOps experience supporting production AI deployments. Contributions to open-source projects, technical publications or patents. Relevant AI, cloud or Agile certifications. With five strategic offices ...

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 ...