126 to 150 of 409 MLOps Jobs in London

including vector embeddings, rerankers, and data indexing in databases like MongoDB. Practical knowledge of LLM fine‐tuning, prompt engineering, and performance optimization. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions. A strong interest in computer vision and an understanding of object detection models like Ultralytics ...

ability to help refine problem statements and figure out how to solve them Some extra skills that are great (but not essential): Experience with MLOps tools: Airflow, MLflow, AWS SageMaker, AWS S3, AWS EMR, CI/CD Prior experience in the fraud domain and a strong understanding of fraud detection ...

senior stakeholders Excellent Python skills using Scikit-learn and PyTorch, experience working in VS Code with AI-assisted coding tools, and knowledge of MLOps for production deployment Familiarity with generative AI, AI agents and agentic workflows, and an interest in applying them to real business problems Benefits and perks There ...

several days per week. Preferred/Nice to Have Background in high‐availability, low‐latency, or highly regulated environments (e.g. fintech, trading, healthcare). MLOps experience — deploying, monitoring, and scaling machine learning workflows in production. Experience with ClickHouse, Amazon Redshift, or other data warehousing/analytics platforms. Strong identity ...

event-driven architectures.* Experience with Infrastructure as Code (e.g. CloudFormation, CDK, Terraform).* Any experience with MCP (Model Context Protocol) and/or MLOps (e.g. model deployment pipelines, monitoring and lifecycle management) is highly desirable.* Understanding of compliance requirement around SDLC, ITGC, ITAC.* Experience with Flyway or similar database migration ...

practices — explainability, bias review, model auditability Experience with insurance platforms (Duck Creek, Guidewire, Acturis) Experience with pricing or actuarial model deployment Familiarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) — awareness required, not hands‐on ownership Experience with ML lifecycle tooling — MLflow, Azure ML, or equivalent Python ...

experimentation, deployment, monitoring, drift, and iteration Experience partnering with engineering and data science on technical architecture, APIs, data pipelines, workflow orchestration, scalable data products, MLOps, observability, and reliability Experience defining evaluation and validation frameworks for AI or ML products, including offline metrics, online experimentation, human evaluation, quality thresholds, error analysis ...

scale, vector stores, agentic orchestration, multimodal work, evaluation infrastructure and fine-tuning where it earns its place. You're fluent in the layer underneath: MLOps tooling, deployment and cloud infrastructure (we run on AWS and GCP), and you can tell the difference between a choice that matters and one that ...

Trips vertical. Talent Multiplier: Mentor and coach senior and mid‐level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics ...

Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics ...

Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded ...

Deloitte - Recruitment in London is seeking a Software AI Engineer for a contract role. You will work on AI-driven financial services platforms, building intelligent agents, copilots and ML-powered solutions across software engineering, Generative ...

Ki Insurance is building a cutting-edge data platform to monitor the commercial performance of its algorithmically underwritten insurance business in real time. You will join an agile squad, collaborating with actuaries, data scientists and ...

Generation (RAG), Agent Development Kits (ADK), Model Context Protocol (MCP), and Google Cloud Platform (GCP). The role provides exposure to cloud-native architecture, MLOps, AI governance, and enterprise-scale solution delivery, enabling you to contribute to transformational programmes while remaining at the forefront of AI innovation. Key Responsibilities Design … engineering teams to translate use cases into technical solutions. Deploy and manage AI workloads on GCP using modern cloud-native and container technologies. Implement MLOps best practices covering model deployment, monitoring, CI/CD, automation, and governance. Ensure solutions meet enterprise standards for security, reliability, scalability, and performance. Conduct performance ...

Description Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our ...

looking for an MLOps Engineer to join our team in London, in a hybrid working mode.In this role, you will build, deploy and maintain production-ready machine learning solutions with a strong focus on MLOps practices including CI/CD, model serving, monitoring and robust cloud infrastructure. You will also … practices for reliability, scalability and cost optimizationRequirementsBachelor’s or Master’s degree in Computer Science, Engineering or related disciplineExperience in delivering machine learning or MLOps systems into production environmentsProficiency in Python for building services, APIs, scripts and CI/CD automationWorking knowledge of modern MLOps stacks including experiment tracking ...

using Python . Architect scalable and resilient cloud infrastructure solutions using AWS/Kubernetes/EKS/ECS . Design and deploy solutions with MLOps best practices . Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems. Mentor and guide junior team ...

with practical, shippable outcomes. Creative, experimental, and excited to try new approaches. Nice to have Computer vision experience (in-store analytics, product imagery). MLOps tooling and cloud deployment. #J-18808-Ljbffr ...

products at scale Excellent written and verbal communication; comfortable engaging directly with clients Right to work in the UK Required skills Python PyTorch LLMs MLOps Benefits at SREEYAMSOFT Top-of-market pay with annual reviews and performance bonuses. £2,000/year for certifications, conferences and learning. Modern offices across ...

with practical, shippable outcomes. Creative, experimental, and excited to try new approaches. Nice to have Computer vision experience (in-store analytics, product imagery). MLOps tooling and cloud deployment. To apply Send your CV and anything that shows your work (portfolio, GitHub, projects) to hr@morgansholding.com. #J-18808-Ljbffr ...

Python experience Experience developing and training complex ML models Predictive modelling/predictive Machine Learning experience Experience taking models into production environments Knowledge of MLOps and production ML practices Excellent analytical and problem-solving abilities The ability to take a business problem and independently determine the appropriate technical solution ...

Hadoop, Synapse) with clear cut-over and reconciliation plans Monitor and optimise DBU consumption and cluster policies, giving the client clear cost visibility Enable MLOps and GenAI use cases where in scope, including MLflow, Model Serving and Genie Act as trusted advisor to client stakeholders, running workshops, design authorities ...

techniques to power systems analysis, curtailment modelling, constraint analysis and renewable energy optimisation. Prototype and deploy AI solutions using cloud technologies and modern MLOps practices where appropriate. Produce clear visualisations and technical insights for planning applications, investment decisions and stakeholder reporting. Continuously evaluate emerging AI technologies and identify opportunities ...

reliable, repeatable, and scalable releases of AI systems, models, and data pipelines into production. Establish AI monitoring and observability strategy across InfraOps and MLOps, defining SLAs, SLOs, alerting, and performance/cost tracking, and driving continuous optimization. Integrate AI/ML systems into enterprise environments, ensuring interoperability, security, compliance ...

working within diverse teams. A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches. Familiarity with MLOps (Machine Learning Operations) practices, including the deployment, monitoring, and maintenance of AI/ML models in production environments and experience with cloud platforms and deploying ...