126 to 150 of 337 MLOps Jobs in the UK

comprehensive model monitoring. Develop model training and evaluation pipelines to accelerate model development/deployment adhering to software development best practices (CI/CD & MLOps) Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling. Requirements You have at least More ❯

smart, curious, and analytical person with a bias for action. What Technologies We Use: Python, dbtLabs, SQL, GitHub Actions (CI/CD) Terraform, Docker, MLOps Platform (VertexAI, Sagemaker and MLFlow) With ecobee, you'll have the opportunity to: Be part of something big: Get to work in a fresh, dynamic More ❯

experience in data engineering (Python + AWS) High code quality and execution mindset Familiarity with GenAI, CI/CD, and performance optimization Bonus: Kedro, MLOps, or interest in AI tooling Be part of something big. Build the data infrastructure powering intelligent systems of the future. #DataEngineer #GenAI #Python #AWS #Docker More ❯

vector search architecture. Strong hands-on experience with the Azure AI stack (Azure OpenAI, Azure Search). Proficient in Python, CI/CD, and MLOps tools (Git, Azure DevOps). Experience working in regulated environments, ideally within financial services. Nice to Have Familiarity with PEFT (LoRA, QLoRA), privacy-preserving AI More ❯

Solid understanding of event-driven architecture Experience with CI/CD practices and tools Familiarity with microservices and modern cloud-based platforms Exposure to MLOps and Kubernetes is a big plus Computer Science degree or equivalent practical experience More ❯

vector search architecture. Strong hands-on experience with the Azure AI stack (Azure OpenAI, Azure Search). Proficient in Python, CI/CD, and MLOps tools (Git, Azure DevOps). Experience working in regulated environments, ideally within financial services. Nice to Have Familiarity with PEFT (LoRA, QLoRA), privacy-preserving AI More ❯

and documentation under pressure Nice-to-Have: Experience with marketing data or customer-level models (e.g. uplift, attribution, causal inference, campaign optimization) Familiarity with MLOps tools (e.g. MLflow, FastAPI, Airflow) Exposure to A/B testing and experimentation frameworks WHY THIS ROLE IS DIFFERENT This isn’t a narrow data More ❯

and documentation under pressure Nice-to-Have: Experience with marketing data or customer-level models (e.g. uplift, attribution, causal inference, campaign optimization) Familiarity with MLOps tools (e.g. MLflow, FastAPI, Airflow) Exposure to A/B testing and experimentation frameworks WHY THIS ROLE IS DIFFERENT This isn’t a narrow data More ❯

development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on More ❯

development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on More ❯

development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on 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 ❯

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 ❯

for good. We are growing our team of engineers to help deliver an increasing number of client projects. You won't need an existing MLOps background to apply for this role. You'll learn as you go by immersing yourself in this exciting new field. What we're looking for … We've seen considerable growth over the past few years and this will continue as we build on our reputation as Open Source MLOps experts, while working with the community, and delivering solutions to our clients. The ideal candidate would be motivated to grow and progress in line with the … company's ambitions. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you'll also enjoy being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps and taking pride in great work. 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 ❯

/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 ❯

Bonus Points If You Have: 🔍 Experience working with large-scale time series data . 🏢 Exposure to startup or high-growth environments . 🤖 Familiarity with MLOps and integrating ML models into production. If you’re excited about building scalable, high-quality data solutions in a dynamic environment, we’d love to More ❯

Bonus Points If You Have: 🔍 Experience working with large-scale time series data . 🏢 Exposure to startup or high-growth environments . 🤖 Familiarity with MLOps and integrating ML models into production. If you’re excited about building scalable, high-quality data solutions in a dynamic environment, we’d love to 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 ❯

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 ❯