126 to 150 of 285 MLOps Jobs in London

for machine learning such as Accuracy, Recall, F1 scores and others. Additional beneficial experience includes: Familiarity with best practice in Machine Learning workflows and MLOps tools. Technical experience in developing non-ML solutions in the Aviation, Mobility, Edge Devices, and/or Robotics industries. At a personal level we’re More ❯

for machine learning such as Accuracy, Recall, F1 scores and others. Additional beneficial experience includes: Familiarity with best practice in Machine Learning workflows and MLOps tools. Technical experience in developing non-ML solutions in the Aviation, Mobility, Edge Devices, and/or Robotics industries. At a personal level we’re More ❯

vector), and large-scale data sets and pipelines (e.g. AWS Glue, Redshift, RDS, Pinecone, Opensearch). Hands-on experience with AI Cloud Infrastructure for MLOps (e.g.Google Vertex AI/AWS Bedrock), including deploying AI applications and managing AI cloud-based services. Expert knowledge of REST, and proficiency in designing and More ❯

anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets to extract meaningful insights and features for model training MLOps - Deployment into production environments, Monitoring and Maintenance Experience deploying and maintaining large-scale ML inference pipelines into production Implement and monitor model performance in production … Experience with big data technologies like Apache Hadoop and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for orchestration. Familiarity with AWS More ❯

Job Description - Senior Manager - Machine Learning Engineering (006207) Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. It's why we're on a mission to create an automated More ❯

efficiency. Our mission is to inspire, shape and deliver the data capabilities of tomorrow. MAIN PURPOSE OF THE ROLE: We're looking for a MLOps & AI Engineer Lead - a technically outstanding individual who thrives on collaboration and delivering meaningful impact. You'll be passionate about building and scaling intelligent AI … Build and maintain robust pipelines for model training, validation, deployment, and monitoring Act as a trusted technical advisor, understanding client challenges and designing tailored MLOps solutions Collaborate with internal teams and clients to translate business needs into practical, scalable AI solutions Optimise the performance and reliability of models running in … practices Contribute to the company's thought leadership by participating in industry events and producing content on emerging trends Stay ahead of developments in MLOps, DevOps, and AI infrastructure, bringing fresh insights into our work Identify skills gaps and support continuous learning through targeted training and development initiatives Skills and More ❯

Skills- Python/PyTorch/Scikit- learn Deliver and test AI/ML pipelines that can be deployed into a cloud environment DevOps/MLOps practices LangChain, Llama, LLMs RAG Systems Co Pilot/Gen AI Details- 6 month contract Outside IR35 £(Apply online only)p/d Fully remote More ❯

learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS Benefits 🏖 Hybrid working Regular team events If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) who is interested in this More ❯

learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS Benefits 🏖 Hybrid working Regular team events If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) who is interested in this More ❯

learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS Benefits 🏖 Hybrid working Regular team events If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) who is interested in this More ❯

innovation while ensuring models are scalable and impactful. What You’ll Be Doing: Developing predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with More ❯

execution. This hands-on role combines quantitative research with software engineering, requiring strong coding abilities and the application of CI/CD, DevOps, and MLOps principles. Key Responsibilities: Design and execute research experiments to develop innovative models and strategies, evaluating results rigorously. Develop production-ready code for live trading integration More ❯

At JFrog, we're reinventing DevOps, DevSecOps and MLOps to help the world's greatest companies innovate, develop faster and be more secure and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here More ❯

Experience with cloud computing platforms and containerization technologies Advantageous Skills and Experience: Experience with multi-robot systems and cross-embodiment learning Knowledge of modern MLOps practices and experiment tracking systems Background in computer vision and sensor fusion for robotics Experience with real-world robot data collection and deployment Knowledge of More ❯

Experience with cloud computing platforms and containerization technologies Advantageous Skills and Experience: Experience with multi-robot systems and cross-embodiment learning Knowledge of modern MLOps practices and experiment tracking systems Background in computer vision and sensor fusion for robotics Experience with real-world robot data collection and deployment Knowledge of More ❯

Experience with cloud computing platforms and containerization technologies Advantageous Skills and Experience: Experience with multi-robot systems and cross-embodiment learning Knowledge of modern MLOps practices and experiment tracking systems Background in computer vision and sensor fusion for robotics Experience with real-world robot data collection and deployment Knowledge of More ❯

Experience with cloud computing platforms and containerization technologies Advantageous Skills and Experience: Experience with multi-robot systems and cross-embodiment learning Knowledge of modern MLOps practices and experiment tracking systems Background in computer vision and sensor fusion for robotics Experience with real-world robot data collection and deployment Knowledge of More ❯

kriging, spatial autocorrelation, trajectory analysis, or related fields). Experience with weather and climate data Experience developing time series models Familiarity with data pipelines, MLOps, or cloud computing. Contributions to open-source or academic publications Masters or PhD Apply Please provide your CV and a short supporting statement (approx. half More ❯

kriging, spatial autocorrelation, trajectory analysis, or related fields). Experience with weather and climate data Experience developing time series models Familiarity with data pipelines, MLOps, or cloud computing. Contributions to open-source or academic publications Masters or PhD Apply Please provide your CV and a short supporting statement (approx. half More ❯

kriging, spatial autocorrelation, trajectory analysis, or related fields). Experience with weather and climate data Experience developing time series models Familiarity with data pipelines, MLOps, or cloud computing. Contributions to open-source or academic publications Masters or PhD Apply Please provide your CV and a short supporting statement (approx. half More ❯

such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers More ❯

such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers More ❯

such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers More ❯

applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. Knowledge of MLOps tools and workflows for model development, validation, and deployment. High level of communicating effectively across internal and external organizations, with both technical and non-technical More ❯

vector), and large-scale data sets and pipelines (e.g. AWS Glue, Redshift, RDS, Pinecone, Opensearch). Hands-on experience with AI Cloud Infrastructure for MLOps (e.g. Google Vertex AI/AWS Bedrock), including deploying AI applications and managing AI cloud-based services. Expert knowledge of REST, and proficiency in designing More ❯