101 to 125 of 295 MLOps Jobs in London

tailored mix of ML and GenAI techniques Identify and pursue opportunities to deliver added value and innovation across client engagements Collaborate with engineers and MLOps professionals to develop scalable, robust, and production-ready solutions Build and nurture strong client relationships through clear communication and outstanding delivery Lead discovery sessions and More ❯

to-Have: Experience with marketing data or customer-level modelling (e.g., uplift, attribution, causal AI, graph AI, campaign optimization, spend optimization). Exposure to MLOps tools like MLflow, FastAPI, Airflow, or similar. Experience with experimentation and validation frameworks (e.g., A/B testing). Startup or freelance experience that required More ❯

Rich understanding of vector stores and search algorithms Large-scale ETL development Direct engineering experience of high performance, large-scale ML systems Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process Have experience supporting fast-paced startup engineering teams A contributor to opensource More ❯

Rich understanding of vector stores and search algorithms Large-scale ETL development Direct engineering experience of high performance, large-scale ML systems Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process Have experience supporting fast-paced startup engineering teams A contributor to opensource More ❯

code reviews, source control management, building feedback loops, removing organization silos ). - Basic understanding of Machine Learning concepts related to model training, deployment, inference, MLOps, etc. PREFERRED QUALIFICATIONS - Experience designing and building highly available, resilient, large-scale, distributed systems that utilize load balancing, horizontal scalability and automated disaster recovery. - Experience More ❯

/CD pipelines and infrastructure-as-code tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the More ❯

/CD pipelines and infrastructure-as-code tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the More ❯

/CD pipelines and infrastructure-as-code tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the More ❯

/CD pipelines and infrastructure-as-code tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the More ❯

skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience/skill) with hybrid working (2 days More ❯

skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working (2 days More ❯

skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working (2 days More ❯

of new techniques, including data science, machine learning and AI Solid experience with data manipulation Experience with Python, Git (or other versioning tools) and MLOps is preferred An understanding of machine learning and statistical theory Experience with Azure and AWS is desirable Experience of Radar software is desirable A track More ❯

experience with ML & DLplatforms,frameworks, and libraries. Extensive experience with end-to-endmodel design and deploymentwithin cloud environments. Asystems thinking approach, with passion for MLOps best practises. An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures,data More ❯

Jupyter, feature stores, and vector databases. Understanding of software engineering best practices including version control, testing, CI/CD, containerisation, and observability. Familiarity with MLOps principles - automated pipelines, model versioning, model monitoring, and reproducibility. Excellent communication skills with a collaborative mindset - you thrive on pairing with engineers, data scientists, and More ❯

come to the office. Must-Haves Technical expertise. You have hands-on experience in C++, Python, and several of the following areas: Kubernetes, PyTorch, MLOps (automated re-training, drift monitoring), TensorRT, Nvidia DeepStream/Gstreamer, and AWS. A proven track record. You know how to focus on products, delivering impactful More ❯

Role: Senior MLOps Engineer Location: Abu Dhabi, UAE (Full Relocation Provided) Company: AI71 About Us AI71 is an applied research team committed to building responsible and impactful AI agents that empower knowledge workers. In partnership with the Technology Innovation Institute (TII), we drive innovation through cutting-edge AI research and … development. Our mission is to translate breakthroughs in machine learning into transformative products that reshape industries. Senior MLOps Engineer AI71 is seeking a Senior MLOps Engineer to lead the development and management of our infrastructure, designed for training, deploying, and maintaining ML models. This role plays a critical function in … quantization, pruning, and multi-GPU/distributed inference to enhance system performance and cost-efficiency. Qualifications • Professional Experience: Minimum 5 years of experience in MLOps, ML infrastructure, or machine learning engineering, with a strong record of managing end-to-end ML model lifecycles. • Deployment Expertise: Proven experience in deploying large More ❯

Role: Senior MLOps Engineer Location: Abu Dhabi, UAE (Full Relocation Provided) Company: AI71 About Us AI71 is an applied research team committed to building responsible and impactful AI agents that empower knowledge workers. In partnership with the Technology Innovation Institute (TII), we drive innovation through cutting-edge AI research and … development. Our mission is to translate breakthroughs in machine learning into transformative products that reshape industries. Senior MLOps Engineer AI71 is seeking a Senior MLOps Engineer to lead the development and management of our infrastructure, designed for training, deploying, and maintaining ML models. This role plays a critical function in … quantization, pruning, and multi-GPU/distributed inference to enhance system performance and cost-efficiency. Qualifications • Professional Experience: Minimum 5 years of experience in MLOps, ML infrastructure, or machine learning engineering, with a strong record of managing end-to-end ML model lifecycles. • Deployment Expertise: Proven experience in deploying large More ❯

Role: Senior MLOps Engineer Location: Abu Dhabi, UAE (Full Relocation Provided) Company: AI71 About Us AI71 is an applied research team committed to building responsible and impactful AI agents that empower knowledge workers. In partnership with the Technology Innovation Institute (TII), we drive innovation through cutting-edge AI research and … development. Our mission is to translate breakthroughs in machine learning into transformative products that reshape industries. Senior MLOps Engineer AI71 is seeking a Senior MLOps Engineer to lead the development and management of our infrastructure, designed for training, deploying, and maintaining ML models. This role plays a critical function in … quantization, pruning, and multi-GPU/distributed inference to enhance system performance and cost-efficiency. Qualifications • Professional Experience: Minimum 5 years of experience in MLOps, ML infrastructure, or machine learning engineering, with a strong record of managing end-to-end ML model lifecycles. • Deployment Expertise: Proven experience in deploying large More ❯

Investment Banking/Finance Technology 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 More ❯

Investment Banking/Finance Technology 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 More ❯

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 the bank More ❯

and RLHF Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use More ❯

Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work More ❯

Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work More ❯