376 to 400 of 434 MLOps Jobs in London

About usAt Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through ...

This job is with WTW, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description The Role We are seeking ...

solutions in AWS Build highly available SageMaker endpoints with monitoring and alerting Develop Terraform modules for repeatable infrastructure deployments Implement CI/CD and MLOps best practices Produce architecture documentation, configuration guides and operational runbooks Deliver knowledge transfer sessions and support engineering handover We're looking for someone with: Generative …/Agentic AI experience (essential) AWS, ideally SageMaker MLOps and production ML deployments Terraform and Infrastructure as Code CI/CD and DevOps practices Monitoring, alerting and operational support Location:Remote (UK based candidates only) Contract length - 4 months Daily rate - £500 (inside IR35) Start Date: 24/08/ ...

LexisNexis GTO seeks an Machine Learning Engineering Lead to drive production ML/AI capabilities for legal research and analytics. You will guide architecture, MLOps, and responsible AI, while writing and reviewing complex AI/ML components. The role focuses on scalable, governed AI-enabled workflows and cross‐functional collaboration. ...

machine learning projects on large event‐based datasets, ensuring models move from research to reliable production. Additionally, you will act as technical bridge to MLOps, embedding best‐practice deployment techniques and shaping the company‐wide AI and GenAI strategy. #J-18808-Ljbffr ...

into product strategy and execution. Excellent written and verbal communication skills in English. Preferred Qualifications, Capabilities & Skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores. Familiarity with AI concepts, such as Retrieval‐Augmented ...

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 ...

Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome candidates with strong experience in either market data engineering or MLOps, provided they have the skills to build ...

Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome candidates with strong experience in either market data engineering or MLOps, provided they have the skills to build ...

multiple engineering teams Designing production-grade RAG architectures Establishing LangGraph and LangChain implementation patterns Designing scalable vector database retrieval strategies Leading best practice across MLOps, CI/CD and model deployment Improving AI testing, evaluation and observability Implementing guardrails and hallucination mitigation Influencing senior engineering stakeholders without direct line management … Requirements Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn Contract £750-900 per day (inclusive) Initial 6 months with long-term programme roadmap Inside IR35 London (3 days per week) #J ...

Ireland. Reporting to the UKI Transformation Director, this role combines strategic leadership with deep hands-on expertise in AI architecture, data engineering, MLOps, and multi-cloud infrastructure. The successful candidate will drive measurable business impact through the delivery of scalable AI solutions that support AI product innovation, AI transformation, operational … business capabilities. Technology LeadershipArchitect and oversee end-to-end AI and data platforms spanning: Generative & Agentic AI solutionsMachine learning pipelinesCloud data warehousingAdvanced analytics platformsEnterprise MLOps frameworksInfluence multi-cloud architecture initiatives across platforms such as: Google Cloud Platform (GCP)Amazon Web Services (AWS)Open-source AI ecosystemsEstablish scalable and flexible technical ...

that provide valuable insights and benefits for the business. Create data science solutions, making sure models are developed, deployed, and monitored effectively using strong MLOps practices. Find opportunities and problems where data science can make a real difference. Stay informed about the latest trends and advancements in AI, data science … data science techniques and machine learning models, with hands-on experience in developing and deploying ML solutions in a business setting. Practical knowledge of MLOps practices to facilitate seamless model development, deployment, and ongoing monitoring. Working knowledge of Agentic and Generative AI and their usage within regulated environments, such ...

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 ...

About Unifeye Unifeye is a delivery-led, Databricks-first consultancy helping organisations unlock the full value of their data and AI. We're a lean, high-growth team based in London, working at the intersection ...

ML Ops Engineer Role Overview We’re hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine‐learning systems in research & production. This role sits at the intersection of ...

At Gigaton, we’re on a mission to cut gigatonnes of carbon emissions from the world’s biggest emitting industries (like cement, steel and glass), by building autonomous AI control and optimisation systems that learn ...

Trainline in London is seeking an experienced MLOps Engineering Manager to build and lead a new team of engineers. You will shape deployment, observability, and scalable machine learning systems across the platform. You will collaborate with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers and stakeholders to deliver ...

guide enterprise customers in building production-grade ML/AI apps on the Databricks Data Intelligence Platform. You will mentor peers and advance GenAI, MLOps, and LLMOps while staying at the forefront of AI tech. You will work with Solution Architects to design end-to-end pipelines, optimize training ...

will partner with engineering, data, security and risk teams to enable reliable model development, deployment and monitoring in a regulated environment. Strong software and MLOps skills are essential. #J-18808-Ljbffr ...

trusted technical expert for customers and Field Engineering. You will guide enterprise workloads on the Databricks Data Intelligence Platform, focus on GenAI, ML, MLOps, and LLMOps, and mentor peers while advancing the AI roadmap. You will engage with Solution Architects to design production-grade ML/AI solutions, deliver MVPs ...

applications on the Databricks Data Intelligence Platform, while mentoring peers and shaping AI thought leadership. This role requires deep hands-on experience with ML, MLOps, GenAI, and a passion for sharing knowledge and driving #J-18808-Ljbffr ...

leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise in ML frameworks such ...

world. This is a role for someone who shows up with substance, who can hold a real conversation about model training and MLOps tooling in the morning and cluster networking in the afternoon, and who finds the space between infrastructure and application more interesting than either on its own. About … Account Solution Architect covering Northern EMEA, you’ll move across the full stack depending on what the customer needs, from ML training workflows and MLOps platforms like Weights & Biases to bare metal GPU infrastructure and physical AI deployments. This isn’t a role built around a single layer ...

manage cloud capacity, including CPU, GPU, storage and networking resources, balancing business needs, platform performance and cost efficiency. Build and support infrastructure for MLOps processes, including CI/CD pipelines, experiment tracking, model registries, automated workflows and model deployment. Develop reusable automation and platform capabilities that simplify onboarding, reduce manual … requirements into effective cloud and platform solutions. Create and maintain technical documentation, support onboarding activities and contribute to the evaluation of new cloud and MLOps technologies. Requirements Hands-on experience designing, implementing and supporting cloud infrastructure in AWS environments. Strong knowledge of AWS services including SageMaker, IAM, networking, storage, compute ...

workflows. You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and independently troubleshoot and resolve complex issues across the stack. You also mentor junior engineers, contribute … driven role where you apply and deepen your expertise across modern tools and platforms — including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring — while making meaningful contributions to infrastructure that enables AI-driven business outcomes. THE WORK Write, review, and debug code, scripts, and infrastructure ...