276 to 293 of 293 MLOps Jobs in London

Location: London, UK (Hybrid) Salary: £120-130k + bonus plus excellent benefits package About the Company Our client is reshaping DevOps , DevSecOps , and MLOps to empower the world’s leading enterprises to innovate faster and more securely. Trusted by thousands of customers—including the majority of the Fortune … deployment flows Experience building and maintaining relationships with enterprise-level clients and technical champions Nice-to-have: Prior experience in software development Understanding of MLOps tools and use cases Public speaking or event representation experience (e.g., tech conferences) Role & Responsibilities As a Solutions Architect , you will act as a trusted More ❯

of AI infrastructure and ML team collaboration. Academic leadership in transformative ML-powered application workflows. Experience deploying ML models to production environments. Experience with MLOps infrastructure for robust deployment and performance. Experience in high-performance integrated systems management for metrics, benchmark performance, and real-time alerts management. Hands-on big … is not available for this position. KEY REQUIREMENTS: Professional in ML operationalization, including workflow/model management, machine learning development environment (MLDE) management Node, MLOps flow. 20+ years of experience in professional software development. Strong programming skills. Great skills in data engineering and big data technologies. Highly skilled with object More ❯

learning practices comply with compliance processes and guidelines. Providing technical guidancein the implementation and integration of machine learning to other cross-functional teams. Using MLOps tools and frameworks. Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce. It would be great if you also had experience … with them Optimising models from data scientists by working closely with them to refine, optimise, and implement models based on prototypes. Defining and improving MLOps processes by creating and refining the model development and deployment strategy for better efficiency and results. Ensuring the quality and accessibility of data used for More ❯

Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. The Search Ops team helps Search services in providing a better customer search experience by delivering quality data annotation More ❯

be building tools for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes. Responsibilities: Build tools for model training and evaluation. Collaborate with Data Scientists and Engineers to deploy solutions. Drive improvements in MLOps processes. Qualifications: Experience More ❯

We're looking for exceptional Machine Learning Engineers to join a scaleup Medical AI firm aiming to do wonders for drug trial success rates. With big investment and tie-ins secured, a large valuation already and top talent on board More ❯

At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent More ❯

We're looking for exceptional Machine Learning Engineers to join a scaleup Medical AI firm aiming to do wonders for drug trial success rates. With big investment and tie-ins secured, a large valuation already and top talent on board More ❯

We're looking for exceptional Machine Learning Engineers to join a scaleup Medical AI firm aiming to do wonders for drug trial success rates. With big investment and tie-ins secured, a large valuation already and top talent on board More ❯

Job Description We are partnering with a prestigious investment bank to find a highly skilled and Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and … Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding … of Devops, Machine learning and Data engineering is required to enable to right candidate to implement the MLOps processes. This team are a specialist team and this role in particular is a key position. Once the framework is established , you will become the gatekeeper to lots of other divisions within More ❯

AI systems, and take ownership of core architecture and product direction. What You’ll Do Build and own core AI/ML systems (Python, MLops/LLMops pipelines, integrations, data retrieval) Architect and scale a product that works across messy enterprise data (SharePoint, Slack, Outlook, etc.) Define infrastructure and engineering … best practices from the ground up What We’re Looking For 3–6+ years AI software engineering and deployment experience Strong exposure to MLops/LLMops, ideally in real-world AI product builds Experience with unstructured data, search/re-ranking, or retrieval systems (e.g., RAG) A “builder” mindset, fast More ❯

AI systems, and take ownership of core architecture and product direction. What You’ll Do Build and own core AI/ML systems (Python, MLops/LLMops pipelines, integrations, data retrieval) Architect and scale a product that works across messy enterprise data (SharePoint, Slack, Outlook, etc.) Define infrastructure and engineering … best practices from the ground up What We’re Looking For 3–6+ years AI software engineering and deployment experience Strong exposure to MLops/LLMops, ideally in real-world AI product builds Experience with unstructured data, search/re-ranking, or retrieval systems (e.g., RAG) A “builder” mindset, fast More ❯

AI systems, and take ownership of core architecture and product direction. What You’ll Do Build and own core AI/ML systems (Python, MLops/LLMops pipelines, integrations, data retrieval) Architect and scale a product that works across messy enterprise data (SharePoint, Slack, Outlook, etc.) Define infrastructure and engineering … best practices from the ground up What We’re Looking For 3–6+ years AI software engineering and deployment experience Strong exposure to MLops/LLMops, ideally in real-world AI product builds Experience with unstructured data, search/re-ranking, or retrieval systems (e.g., RAG) A “builder” mindset, fast More ❯

efficiency Working with the Data and AI Business Unit to ensure the data architecture aligns with requirements for scalable and secure machine learning operations (MLOps) pipelines for efficient model deployment or integration of AI capabilities such as generative AI, intelligent automation, and predictive analytics into our business processes. About you … Architect or in a similar role, delivering enterprise-level data and AI solutions. Additionally, you will have experience in: Building and managing medallion architecture, MLOps and advanced analytics solutions Knowledge of Databricks and how it can be a part of a modern data architecture Knowledge of automation frameworks to integrate More ❯

office) We're seeking a highly skilled Python Developer to join our Voice team in London, working on real-time communication, speech recognition, and MLOps infrastructure. This role offers a competitive salary of up to £105,000 per annum, along with stock options, reflecting the critical nature of AI-driven … Develop and maintain back-end systems for AI-driven voice assistants. Enhance real-time communication and speech recognition infrastructure. Contribute to the team’s MLOps and platform stability. Ideal Candidates Will Have : Strong Python development experience with a focus on back-end systems. Experience in building scalable, high-performance applications. More ❯

office) We're seeking a highly skilled Python Developer to join our Voice team in London, working on real-time communication, speech recognition, and MLOps infrastructure. This role offers a competitive salary of up to £105,000 per annum, along with stock options, reflecting the critical nature of AI-driven … Develop and maintain back-end systems for AI-driven voice assistants. Enhance real-time communication and speech recognition infrastructure. Contribute to the team’s MLOps and platform stability. Ideal Candidates Will Have : Strong Python development experience with a focus on back-end systems. Experience in building scalable, high-performance applications. More ❯

Job Description Ready to solve real human problems with cutting-edge AI while working with a world-class engineering team? At Just Move In, we're not just another tech startup, we're transforming the fragmented, stressful process of moving More ❯

At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of More ❯