326 to 350 of 409 MLOps Jobs in London

Join JPMorgan Corporate Investment Bank's industry-leading data analytics team, where you'll combine cutting-edge machine learning techniques with unique data assets to optimize business decisions. As an Applied AI & Machine Learning Associate ...

Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make ...

Thehumanoid is hiring a Senior Dev/MLOps Engineer to join their Data & Compute Platform team in London. This role involves managing the lifecycle of ML models and infrastructure, building CI/CD pipelines, ensuring system reliability and security, and collaborating with cross-functional teams. Candidates should have strong Python ...

from data pipelines to model deployment, collaborating with platform and backend engineers to scale production systems. Applicants should have 5+ years in ML/MLOps, strong Python, Databricks experience, and familiarity with AWS or Azure. #J-18808-Ljbffr ...

more excellent minds to challenge the status-quo and help it reach new horizons. Where you come in? We're looking for a Senior MLOps Engineer to join our Algorithmic Underwriting team. In this role, you’ll develop and extend our MLOps system, empowering our underwriting algorithm to improve effectively … efficiently. We'll work together across the business to tackle exciting technical challenges that go far beyond traditional MLOps systems. For instance, you’ll expand our MLOps system to manage the lifecycle of actuarial models and rules-based models alongside standard machine learning models. You’ll also have the opportunity ...

modern architectures: Medallion Lambda Kappa Experience building or contributing to cloud-based data platforms AWS preferred Familiarity with: S3 Glue Athena Data Science & MLOps Exposure to: data analysis MLOps feature engineering Curiosity and willingness to go deeper in these areas Why you’ll love it here We want to make ...

View all jobs MLOps Engineer London • Remote Engineering Remote • In office Full-time About Boltz Boltz is a public benefit company building the next generation of AI-powered molecular modeling tools to make biology programmable and accelerate drug discovery, while keeping frontier capabilities broadly accessible. Boltz-1, Boltz … iterate faster and stay focused. You can read more about our mission, research and product vision on our manifesto. About the role As an MLOps Engineer, you will focus on optimizing, deploying, and operating large-scale machine learning models that power Boltz Lab. Your primary responsibility will be to ensure ...

needs more excellent minds to challenge the status-quo and help it reach new horizons. Where you come in? We're looking for an MLOps Engineer to join our Algorithmic Engineering team. In this role, you’ll help us build and scale our MLOps system, enabling our underwriting algorithm … grow and scale. You’ll collaborate with colleagues across the business to solve complex technical challenges, such as generalising our MLOps system to manage actuarial and rules-based models. You’ll have the autonomy to propose, design, and execute innovative initiatives, delivering high-impact features as part of our forward ...

real-time and batch data Training, deploying, and maintaining machine learning models in production environments Working with Databricks, AWS, Python, Kafka, and modern MLOps tooling Leveraging machine learning, LLMs, and multimodal AI techniques across structured and unstructured data sources Collaborating with engineering, product, and business stakeholders to deliver impactful solutions … technical best practices Driving measurable improvements through AI-powered decisioning and automation Your Skills & Experience Strong commercial experience as a Machine Learning Engineer, MLOps Engineer, or in a similar applied ML role Proven experience building and deploying machine learning systems into production Experience designing and maintaining scalable data pipelines ...

Platform Architect Own the end-to-end architecture of an enterprise AI platform across Azure and AWS. Design capabilities for ML training, model hosting, MLOps and Generative AI. Define architecture patterns for LLMs, RAG, vector search and agent-based frameworks. Evaluate AI technologies and select appropriate tooling based on technical … enterprise-scale AI or ML platforms. Strong architecture experience across Azure and AWS , including multi-cloud integration, networking, IAM and security. Deep understanding of MLOps , model training pipelines, orchestration, feature stores, model hosting and observability. Strong Generative AI architecture experience, including LLM hosting, RAG, vector databases, prompt orchestration and guardrails. ...

Platform Architect Own the end-to-end architecture of an enterprise AI platform across Azure and AWS. Design capabilities for ML training, model hosting, MLOps and Generative AI. Define architecture patterns for LLMs, RAG, vector search and agent-based frameworks. Evaluate AI technologies and select appropriate tooling based on technical … enterprise-scale AI or ML platforms. Strong architecture experience across Azure and AWS , including multi-cloud integration, networking, IAM and security. Deep understanding of MLOps , model training pipelines, orchestration, feature stores, model hosting and observability. Strong Generative AI architecture experience, including LLM hosting, RAG, vector databases, prompt orchestration and guardrails. ...

agent-to-agent communication Design information barriers and authorization for agents acting on behalf of different counterparties, ensuring secure and isolated execution Define MLOps architecture for agent tools, covering training, environment promotion, model registry, serving, monitoring, and retraining cadence Establish engineering standards for agent quality and safety, including evaluation frameworks … more programming languages, with Python required Architect and ship production LLM agents or multi-agent systems Design end-to-end ML platforms or MLOps pipelines Exhibit expertise in secure distributed systems, including identity, authorization, and service-to-service trust Lead with AI-assisted software development tools and validate AI outputs ...

Science and machine learning across the organisation. Define approaches for model development, validation, deployment and lifecycle management. Develop scalable and repeatable Data Science and MLOps processes within the Azure Databricks Lakehouse environment. Collaborate with Data Engineering, Data Architecture and Data Governance teams to ensure Data Science solutions align with wider … model development. Exposure in developing Data Science solutions within Azure Databricks or similar cloud-based analytics platforms. Proficiency in implementing or working with MLOps practices, including model deployment, version control, monitoring and lifecycle management. Know-how of translating business challenges into practical Data Science solutions and communicating insights ...

delivery, but accountable for the architectural standards those teams consume. Key interfaces include Enterprise Data, Enterprise Platforms & Operations, Data Governance, Cyber Security, Solution Architecture, MLOps/AI teams and strategic technology vendors. RESPONSIBILITIES Design and maintain the platform's technical architecture, including compute/storage design, ingestion frameworks, access control … products and support Data Product Managers and Data Engineers where architectural complexity requires it. Ensure architecture supports emerging requirements, including agentic AI data infrastructure, MLOps productionisation, and advanced analytics. Collaborate with the Senior Manager, Data Platform Engineering (within the Enterprise Platforms & Operations team) to ensure platform operations are aligned ...

understanding of the full ML lifecycle and strong software/platform instincts - you know what it takes to run reliable ML at scale – including MLOps tooling and practices Experience raising operational standards: SLIs/SLOs, monitoring, incident management, and production reliability Budget ownership, including infrastructure cost management and vendor oversight … associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation platforms including New Relic and Braintrust More information Enjoy fantastic perks like private healthcare & dental insurance ...

Description The Role We are seeking a capable Consulting Data Architect to join our Insurance Technology Consulting practice and play a pivotal role in shaping, selling, and delivering data-led consulting engagements for insurance clients. ...

Job Summary Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in ...

Hybrid - Minimum 3 days on site in London, Tower Bridge HQ About Hometrack At Hometrack, we’re redefining the mortgage journey for lenders, brokers and borrowers. We deliver market-leading valuation and risk evaluation services ...

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering ...

is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha ...

capabilities and scale machine learning across the business. The organisation currently has multiple machine learning models operating in production, but recognises that it’s MLOps capability and supporting foundations are still relatively immature. This role has been created to provide the seniority, technical leadership and real-world experience required … establish best practice, improve operational maturity and ensure machine learning can be delivered reliably at enterprise scale. Key Responsibilities Lead the maturation of the MLOps function and build the capability Establish robust MLOps foundations, frameworks and engineering standards. Improve model monitoring, governance, reliability and scalability. Develop processes to manage model ...

## Senior MLOps Engineer (Parental cover, 16 months)Apply: London: Full time: Posted Today: 0000039362**Job Description**#LI-KO1 Just imagine turning millions of customer interactions into production-ready machine learning models that deliver more relevant, personalised experiences. Then make it real. **About the role**As our Senior MLOps Engineer ...

Strategy. Design end-to-end AI solutions: Design AI solutions spanning generative AI and large language models, machine learning, and the data pipelines and MLOps needed to deploy and operate them responsibly and at scale. Set guardrails for AI agents: Define reference architectures and guardrails for AI agents, including tool … learning concepts, including generative AI and large language models, and how they are applied in enterprise solutions Understanding of the data architecture, pipelines and MLOps needed to build, deploy and operate AI solutions, and of AI and ML platforms, tooling and services (cloud AI/ML services, LLM frameworks ...

cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production.This is a senior software engineering/MLOps role focused on building and operating production services and platform capabilities, not a model research role. Data science experience is valuable but secondary to production … technical guidance to engineers and data scientists, mentor teammates, and drive continuous improvement and knowledge sharing.What you’ll bring5+ years as an software engineer, MLOps Engineer, or similar, with hands-on production experience operating backend services or ML-backed APIsProven expertise deploying ML models as production services, API design ...

experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment.* Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways.* Build internal data products to improve the speed and quality … problem definition to production deployment and monitoring.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale.* Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms ...