1 to 25 of 50 MLOps Jobs in London

Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies, including branching and pull requests ● Exceptional communication more »

Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies, including branching and pull requests ● Exceptional communication more »

Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies, including branching and pull requests ● Exceptional communication more »

healthcare data and extract meaningful information. Collaborate with cross-functional teams to integrate machine learning solutions into their products and services. Design and implement MLOps processes to ensure scalability, reliability, and performance of machine learning systems. Optimise model performance and accuracy through continuous experimentation and iteration. Stay updated on the more »

health data science/Epidemiology Experience in natural language processing and AI Expertise building statistical models, use of machine learning using Python libraries, and MLOps tools Experience mining and analysing electronic health records (EHR) and knowledge of clinical terminologies i.e. SNOMED-CT Experience with one or more data management tools more »

MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior more »

handling unstructured data sets Familiarity with software engineering principles and collaborative programming best practices, including version control, testing, and deployment Knowledgeable in DevOps/MLOps methodologies and practices, with experience in cloud environments like Google Cloud Platform or Microsoft Azure Deep passion for data and analytics Proven track record in more »

datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Strong analytical and problem-solving abilities, with the capability to work on complex issues and drive innovative solutions. Deep understanding of more »

frameworks (Dask, Modin) Hands on experience with Natural Language Processing (NLP) and Large Language Models (LLMs) Experience of creating and deploying microservices Knowledge of MLOps concepts (CI/CD, versioning, reproducibility, observability) and development best practices ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice more »

and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture design and building through to releasing, testing, and supporting Confident in working in a fast paced environment more »

Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute to the growth of the AI team more »

knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding of metrics, benchmarking and evaluation methodology AI-powered user-facing products. Experience working in highly collaborative environments with complex technical more »

tools and practices. Competency in deploying and managing AI solutions on AWS cloud infrastructure. Experience with containerization technologies like Docker. Understanding and application of MLOps practices for efficient model lifecycle management. Knowledge of data security and privacy practices. Effective problem-solving skills to address challenges encountered in AI development projects. more »

commercial setting too! Essentials: 5+ years experience as a Data Scientist Proven expertise with deep learning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is more »

Introduction Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely more »

and Azure might be considered if the rest of the experience aligns fully to the role requirements Experience with Natural Language Processing (NLP) and MLOps is a must Experience in healthcare, or health tech sector is ideal but not necessary If you are looking to work for a rapidly growing more »

Working closely with ML Engineers A lot of scope for growth and future management! Skills And Experience Required Strong exposure to Python, TensorFlow etc. MLOps knowledge A proven track record leading other engineers Good knowledge of CI/CD is a huge plus Experience working within the ML space is more »

driven start-up! THE COMPANY As the Data team are the core of the business, you'll be joining a team of Data Scientists, MLOps Engineers, Data Engineers and Software Engineers so you'll get to see the full life-cycle of projects. You'll be working in a fast more »

to 50% nationally and internationally. experience with AI/ML model development, evaluation, and optimization. in Python and PyTorch. Linux system administration skills. with MLOps platforms, API-driven integration, and solution design. proactive attitude and willingness to own the prospect's technical buying experience. Preferred qualifications: in high-growth startups. more »

of Agile software development methodologies and CI/CD processes. Desired : experience in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is more »

Machine Learning Infrastructure Engineer Perm London office 4 days per week Can offer sponsorship and relocation Up to £200K A YC-based start-up building the next-generation of helpful and honest AI is looking for a Machine Learning Infrastructure more »

compliance. Key competencies needed: in data science and Machine Learning Learning specifics: NLP, LLMs, TensorFlow, PyTorch with data wrangling and preprocessing with DevOps/MLOps experience for model deployment with either AWS or GCP For more information on this opportunity, please submit your latest CV to david@neartechsearch.com or apply more »

The extras: Experience working on AI-based products. Distributed computing experience (Spark, MPI, etc) Experience orchestrating workflows, particularly within distributed system environments. Knowledge of MLOps principles and practices, especially in implementing them within production settings. What’s on offer: 30 days paid annual leave + bank holidays Pension with NEST more »

of Agile software development methodologies and CI/CD processes. Desired : experience in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is more »

CD best practices to increase the efficiency in deployment and management of resources. Experience with building and or using model management tools (e.g. MLflow)& MLOps (model orchestration, updating, etc.) Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to more »