101 to 110 of 110 MLOps Jobs in the City of London

Job Title: MLOps Engineer Location: On-site, 5 days per week Total Compensation: Up to £200,000 We are seeking an experienced MLOps Engineer to join a forward-thinking trading organisation. This is an exciting opportunity to design and implement the infrastructure that powers advanced machine learning workflows in a production trading environment. Key Responsibilities: Feature Store & Data Lake: Build … scalable infrastructure for time-series feature storage, retrieval, and versioning optimised for ML workloads. MLOps Pipelines: Design end-to-end workflows for data ingestion, feature engineering, model training, backtesting, and deployment. Data Ingestion Layer: Connect raw data streams into structured, queryable formats (Parquet/Delta Lake). Production Serving: Deploy feature computation and model inference with appropriate latency characteristics. Integration … execution systems to ensure seamless operations. CI/CD Pipeline: Implement and maintain robust continuous integration and deployment pipelines for ML models. Requirements: Strong experience in building and maintaining MLOps pipelines. Hands-on experience with feature stores, data lakes, and time-series data. Proficiency with modern data formats like Parquet and Delta Lake. Familiarity with production ML model deployment and More ❯

🚀 Data Engineer | AI Startup | Real-Time Data & ML Pipelines I’m currently partnered with a next-generation AI startup that’s building real-time intelligence systems capable of understanding and adapting to the world as it happens. They’re at 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 ❯

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 ❯

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 ❯

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 ❯

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 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 ❯

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 ❯