76 to 90 of 90 MLOps Jobs in London

approaches into production, including deployment and monitoring Build and optimise ML pipelines on AWS Develop LLM-powered solutions, including evaluation and observability Apply strong MLOps practices: experiment tracking, versioning, and reproducibility Communicate findings clearly to technical and non-technical stakeholders Mentor junior engineers and contribute to team best practices This … TensorFlow) Production experience with AWS ML services (e.g. SageMaker, Lambda, S3) Proven ability to move models from experimentation into live systems Experience with MLOps tools (MLflow, Weights & Biases, DVC, or similar) Hands-on exposure to LLM/GenAI applications, including RAG Nice to have: Experience with advanced LLM techniques (e.g. ...

Job Title Senior Data Scientist Location London - hybrid working (2/3 days in City offices) Salary To c£75,000 negotiable DoE Job ReferenceJ13015 POSITION OVERVIEW We are super excited to be partnering with ...

FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access ...

MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building ...

research and implementation, taking models from concept to production, setting technical standards and supporting junior engineers. The role involves close collaboration with the AI, MLOps and Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop … Carry out analysis to understand model behaviour, drift and explainability. Build and maintain tools for evaluation, prompt testing and dataset preparation. Work with the MLOps engineer to deploy, monitor and retrain models in production. Support CI/CD processes for AI, including version control, reproducibility and rollback workflows. Provide mentorship ...

internal ML community, influencing how we implement AI and computer vision technologies. Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions. About You Were looking for a proactive and versatile engineer who thrives in a collaborative environment and enjoys solving meaningful technical challenges. Youll … . Nice to Have: Experience working in a fully remote, international team. Previous startup experience. Experience building or operating agentic AI systems. Familiarity with MLOps practices and tools, CI/CD pipelines (e.g. GitLab CI, Argo CD), and infrastructure-as-code tools (e.g. Terraform). Knowledge of SQL/NoSQL ...

Query, Vertex AI, Dataflow, Pub/Sub, Redis and NoSQL Databases, maintaining chat history, etc.) Implement best practices for data governance, security, and MLOps on GCP Optimize model performance, monitor production systems, and ensure reliability, auto scaling using Prometheus, Dynatrace, and Lang Smith Desirable Skills/Knowledge/Experience Hands … Query, Vertex AI, Dataflow, Pub/Sub, Redis and NoSQL Databases, maintaining chat history, etc.) Implement best practices for data governance, security, and MLOps on GCP Knowledge of API Gateways and ISTIO, ability to diagnose and intercept failures in end-to-end communication Optimize model performance, monitor production systems ...

Strong Python; exposure to AWS, Docker, Terraform/CDK, etc. • Experience with basic web computing constructs: APIs, authentication, etc. • Solid grounding in ML algorithms, MLOps, and data science. • Ability to work with customers/stakeholders to help them achieve their goals. • Willingness and ability to travel to customer offices globally … occasionally exceed 50% if required). Nice-to-Have: • Built agentic workflows/LLM tool-use. • Experience with MLFlow, Arize, LangFuse, or other MLOps tools. • Experience with deploying ML models on SageMaker, KServe, or similar. Why Plexe? • Hard problems: we're automating the entire ML/AI lifecycle from data ...

Details Role/Job Title: MLOps Engineer Work Location: London, UK Office Requirement (Hybrid): 2 days per week Key Responsibilities (High-Level) Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML). Build infrastructure to monitor model performance, data drift, and other key metrics ...

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 ...

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 ...

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 ...

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 ...

Robert Half Technology are assisting a global Pharmaceutical organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 Deep expertise in Snowflake and DBT to join a mission-driven ...

Details Role/Job Title: MLOps Tech Lead Work Location: London, UK Office Requirement (Hybrid): 2 days per week Key Responsibilities (High-Level) Data Pipeline Development: Lead the technical direction of projects and ensure the use of Sainsbury's best practices to the best quality. Data Integration: Lead and provide ...