251 to 272 of 272 MLOps Jobs in London

Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial service providers onboard businesses more quickly while cutting operational costs by 80%. About More ❯

customers, liaising with senior stakeholders, and designing and building production-ready applications. You will integrate LLMs and GenAI tools using frameworks such as LangChain and LlamaIndex , while setting up MLOps environments with Docker, Terraform, AWS, and CI/CD pipelines . As a Software Engineer first , you will have deep expertise in at least one programming language ( Python, Node.js, Java … include links to your GitHub or StackOverflow to showcase your projects and personal passion for AI and Software Engineering. Keywords/Tech Focus: Python, Node.JS, GenAI, LLM, Agentic AI, MLOps, RAG, LangChain, LlamaIndex, AWS, TypeScript, Docker, Terraform, SaaS, London More ❯

to benchmarking and ongoing improvements. Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in Computer Vision, Machine Learning … models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences This is an excellent opportunity for an experienced Staff Computer More ❯

to benchmarking and ongoing improvements. Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in Computer Vision, Machine Learning … models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences This is an excellent opportunity for an experienced Staff Computer More ❯

business needs from manufacturing, supply chain, engineering, and quality into actionable product requirements. Lead products from concept ? prototype ? production, ensuring scalability, performance, and regulatory alignment. Establish agile, DataOps, and MLOps practices to accelerate deployment of analytics and AI solutions. Guide the integration of operational data across ecosystems (MES, LIMS, ERP, QMS, plant-level data, SCADA, IoT, cloud). Track and … Deep domain expertise in global pharma, biopharma, or large-scale manufacturing/supply chain. Strong technical fluency: Data engineering & pipelines Cloud platforms Data science & AI/ML product delivery MLOps/DataOps principles Skilled at influencing product direction across cross-functional, multi-region teams. A strategic thinker capable of shaping long-term transformation while executing fast. Comfortable in complex, regulated More ❯

business needs from manufacturing, supply chain, engineering, and quality into actionable product requirements. Lead products from concept prototype production, ensuring scalability, performance, and regulatory alignment. Establish agile, DataOps, and MLOps practices to accelerate deployment of analytics and AI solutions. Guide the integration of operational data across ecosystems (MES, LIMS, ERP, QMS, plant-level data, SCADA, IoT, cloud). Track and … Deep domain expertise in global pharma, biopharma, or large-scale manufacturing/supply chain. Strong technical fluency: Data engineering & pipelines Cloud platforms Data science & AI/ML product delivery MLOps/DataOps principles Skilled at influencing product direction across cross-functional, multi-region teams. A strategic thinker capable of shaping long-term transformation while executing fast. Comfortable in complex, regulated More ❯

translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. • Talent Assessment: Evaluate existing AI talent … evaluations preferred. • Excellent communication and stakeholder engagement skills, with the ability to translate technical complexity into actionable insights. • Knowledge of cloud-based AI platforms (Azure, AWS, GCP) and enterprise MLOps environments a plus. • Prior consulting or advisory experience within large organizations is advantageous. More ❯

translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. • Talent Assessment: Evaluate existing AI talent … evaluations preferred. • Excellent communication and stakeholder engagement skills, with the ability to translate technical complexity into actionable insights. • Knowledge of cloud-based AI platforms (Azure, AWS, GCP) and enterprise MLOps environments a plus. • Prior consulting or advisory experience within large organizations is advantageous. More ❯

HGX B200 GPU nodes (96 NVIDIA B200 GPUs) and associated infrastructure • Managing Weka NeuralMesh distributed AI storage for high-speed data access and resilience • Implementing CI/CD and MLOps pipelines using Argo Workflows, Jenkins and GitHub • Monitoring platform performance using Zabbix, Prometheus and Grafana • Integrating SAN and Infiniband networking to achieve high throughput and reliability • Creating detailed documentation and … knowledge of NVIDIA GPU technologies, particularly GPU Operator and Run:AI • Familiarity with distributed storage and AI data systems such as Weka NeuralMesh • Experience with CI/CD and MLOps pipelines using Argo, Jenkins or GitHub • Knowledge of HPC networking including SAN and Infiniband integration • Strong troubleshooting and documentation skills with a collaborative mindset Desirable Experience • Certifications in Kubernetes, NVIDIA More ❯

HGX B200 GPU nodes (96 NVIDIA B200 GPUs) and associated infrastructure • Managing Weka NeuralMesh distributed AI storage for high-speed data access and resilience • Implementing CI/CD and MLOps pipelines using Argo Workflows, Jenkins and GitHub • Monitoring platform performance using Zabbix, Prometheus and Grafana • Integrating SAN and Infiniband networking to achieve high throughput and reliability • Creating detailed documentation and … knowledge of NVIDIA GPU technologies, particularly GPU Operator and Run:AI • Familiarity with distributed storage and AI data systems such as Weka NeuralMesh • Experience with CI/CD and MLOps pipelines using Argo, Jenkins or GitHub • Knowledge of HPC networking including SAN and Infiniband integration • Strong troubleshooting and documentation skills with a collaborative mindset Desirable Experience • Certifications in Kubernetes, NVIDIA More ❯

Join us at Entrust At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world More ❯

My client, a successful quantitative investment manager, is looking for a Senior DevOps engineer to join their ML ops team and to implement testing, development, automation tools, and IT infrastructure for the ML platform team and its users. They are More ❯

About the Team : You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. More ❯

About the Team : You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. More ❯

Permanent Hybrid (Central London) Up to 82,500 + Excellent Benefit Senior System Engineer (AI/ML) | Permanent position Location: Central London Hybrid model Salary: Up to £82,500 + Excellent Benefits Available position: 2 positions Our client, an IT More ❯

Senior System Engineer (AI/ML) | Permanent position Location: Central London Onsite: 5 days a week (South Kensington/Waterloo) Salary: Up to £82,500 + Excellent Benefits Available position: 2 positions Our client, an IT consulting and services provider More ❯

Senior System Engineer (AI/ML) | Permanent position Location: Central London Onsite: 5 days a week (South Kensington/Waterloo) Salary: Up to £82,500 + Excellent Benefits Available position: 2 positions Our client, an IT consulting and services provider More ❯

Machine Learning Engineer 18 month project, 6 month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering Apply More ❯

Machine Learning Engineer 18 month project, 6 month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering Apply More ❯

Senior Product Manager – HealthTech Hybrid – 2 days Oxford, 1 day London, 2 from home! A world-class AI research organisation is quietly building a tech team that will tackle some of humanity’s biggest challenges - and they need a healthcare More ❯

Senior Product Manager – HealthTech Hybrid – 2 days Oxford, 1 day London, 2 from home! A world-class AI research organisation is quietly building a tech team that will tackle some of humanity’s biggest challenges - and they need a healthcare More ❯

Permanent Onsite at South Kensington/Waterloo Up to 82,500 + Excellent Benefit Senior System Engineer (AI/ML) | Permanent position Location: Central London 5-day onsite (South Kensington/Waterloo) Salary: Up to £82,500 + Excellent Benefits More ❯