151 to 175 of 337 MLOps Jobs in the UK

TensorFlow. Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like IEC 62304 or ISO 13485. Experience with MLOps practices and model versioning in compliant environments. Preferred Qualifications: Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration). Exposure to More ❯

experience with Minimum 10+ years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sagemaker, AWS Quicksight and AWS MLOPS Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe, Polaris catalog and data governance (meta data/business catalogs). Knowledge of at least one of the More ❯

read machine learning research articles and implement the algorithms described Experience of working with high performance computing clusters (Bash, Slurm etc) Good understanding of MLOps for experiment tracking, model and data versioning, hyperparameter tuning and results visualisation Experience in database technologies: SQL, NoSQL. What will you receive? At the Francis More ❯

model registries (e.g. Feast, MLflow, SageMaker Model Registry) Knowledge of model versioning , A/B testing , and shadow deployments Experience implementing or contributing to MLOps frameworks and scalable deployment patterns Experience with containerisation and container orchestration (Docker, Kubernetes) Comfortable working in a fast-paced, cross-functional team with product and 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 ❯

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 ❯

actively engaging in both product and technical discussions with empathy and championing best practices for AI and engineering. A background in Data, Machine Learning, MLOps, also outside the realm of LLMs - an advantage. What can offer you: Opportunity to join a well-funded, proven company with big ambitions and potential 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 ❯

Senior MLOps Engineer - Hybrid/Dundee Salary up to £70,000 We are looking for a Senior MLOps Engineer to join a Scottish company working on cutting edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence. The Role … and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. The Ideal Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) 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 ❯

in Python, Rust, C++, or Java, as well as frameworks like PyTorch, TensorFlow, and JAX. Excellent communication and problem-solving abilities. Bonus : Experience with MLOps, sensor modalities, or deploying production models. Note : Diverse backgrounds are encouraged; not all criteria are mandatory. Security : Must be eligible for UK security clearance (SC More ❯

in Python, Rust, C++, or Java, as well as frameworks like PyTorch, TensorFlow, and JAX. Excellent communication and problem-solving abilities. Bonus : Experience with MLOps, sensor modalities, or deploying production models. Note : Diverse backgrounds are encouraged; not all criteria are mandatory. Security : Must be eligible for UK security clearance (SC 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 ❯

Data & Inference Passion for synthetic data generation making use of inference of pretrained models, 3D rendering engines, and/or other softwares. Distributed Computing & MLOps Demonstrated proficiency in setting up large-scale, robust data pipelines, using frameworks like Spark, Ray, or Metaflow. Comfortable with model versioning, and experiment tracking. Performance More ❯

scale or need to change to accommodate business needs. You will be responsible for various aspects of the Science teams like Analytics, Business Intelligence, MLOps, ML Engineering, Data Science, and Applied Science. You keep yourself up-to-date with the recent advances, thereby guiding the team with the right decisions. 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 ❯

entire spectrum of cloud offerings, from Ubuntu itself to virtualisation and private cloud, Kubernetes, and the implementation of sophisticated open source solutions such as MLops platforms, data platforms and more. We are rapidly expanding the range of open source solutions we offer and deliver to customers, as we move into More ❯

actively engaging in both product and technical discussions with empathy and championing best practices for AI and engineering. A background in Data, Machine Learning, MLOps, also outside the realm of LLMs - an advantage. What can offer you: Opportunity to join a well-funded, proven company with big ambitions and potential 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 ❯

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 ❯

as well as in Belfast. For more information, visit DailyPay's Press Center. The Role: We are seeking a highly skilled and motivated Senior MLOps Engineer to join our growing team in Belfast. You will play a crucial role in maturing and scaling our machine learning infrastructure and processes, ensuring … the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that … product, understanding the needs of our customers and partners, and maintaining DailyPay's leading role in the early wage access industry. As a staff MLOps Engineer, you will be instrumental in helping to realize this vision for DailyPay by enabling efficient and effective deployment and management of machine learning models. More ❯

Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business … or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register More ❯

Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business … or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register More ❯