1 to 25 of 56 MLOps Jobs in England

programming languages (such as Java) Experience of working on a project using agile concepts (such as working in sprints) Familiarity with working in an MLOps environment. Experience working with search engines (such as Elasticsearch) #J-18808-Ljbffr more »

learning (SparkML, Tensorflow, Keras) Demonstrated ability to work on multi-disciplinary teams with diverse skillsets Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD) Experience of working in cloud environments (Azure, GCP, AWS) You are also expected to have: Higher level degree (MsC/PhD) in more »

of experience in a data-driven role, with exposure to: Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., PyTorch, MLFlow, JAX) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms more »

to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Telecoms, MLOps, CI/CD, Software Engineering more »

analytical skills, with experience in deep learning and knowledge of neural networks (TensorFlow, PyTorch). - Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps practices, including tools like MLFlow, BentoML, and Evidently AI. - Awareness of AI ethics, privacy considerations, and a commitment to continuous learning in the rapidly evolving more »

Data engineering, i.e. ensuring a good data flow between database and backend systems. Data science, i.e. analyzing data and coming up with use cases MLOps, i.e. automating ML workflows with testing, reproducibility and metadata/feature storage; Designing ML architectures on Google Cloud Requirementa 1-3 years experience as an more »

Transform the World of Content Creation as an AI Engineer. We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform . Based in the vibrant heart of tech innovation, this 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 »

Nice to Have: Experience with Snowflake, Databricks, and GCP or Azure. Knowledge of streaming data architectures. Data security and compliance implementation. Machine Learning Operations (MLOps) experience. more »

Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and establish best practices in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services more »

LLMs for NLP tasks in industry Experience in Biomedical data or computational sciences Experience in cloud platforms such as GCP or AWS Experience with MLOps/LLMOps frameworks and best practices Competitive compensation package Private medical insurance (underwritten on a medical health disregarded basis) Life insurance (4 x salary) Individual more »

with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray, any of the GenAI frameworks Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with data pipeline tools Experience as an ML educator and/or building and executing customer training 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 »

command of Python and its data analysis libraries (e.g., numpy, scipy) Proven expertise in Python-based machine learning, optimization, and process mining Knowledgeable about MLOps principles, CI/CD, model versioning, monitoring, and deployment Competent in utilizing Linux, Docker, AWS, Kafka, and git Consistent practice of best software development methodologies more »

to-end data pipelines, for training, evaluating and deploying ML modelsWorking closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructureDriving best practices in a fast paced environment, within a well established companyYour Skills and Experience:MSc or PhD level education in STEM subjects.Strong experience more »

special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD and ideally post-doctoral or more »

with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray Experience with hyperparameter optimization solutions Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with data pipeline tools Experience as an ML educator and/or building and executing customer training more »

My client, a Software Development Consultancy, are looking for an Azure Machine Learning Engineer with Active SC Clearance for an initial 6 month engagement. Key Skills Required: Excellent knowledge of Azure technologies for Machine Learning and AI Solid understanding of 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 »

options, generous paid leave, and trips abroad #WhatWillYouBuild Why We Need This Role We are looking for a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting … data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and the platform engineering team. We need this role to keep … on development, deployments, monitoring and maintenance from the Intelligent Systems team. The role is needed to effectively plan and execute the roadmap for the MLOps team accounting for data science and product stakeholders, infrastructure and cost constraints. Support the definition of service architectures for new services while continuously working towards more »

machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine Learning Applications development life cycle processes and tools - MLOps, including building ETL data pipelines. Cutting-edge approaches to Machine Learning, including transformer models, diffusion models, and adversarial machine learning. Experience in fine-tuning off more »

science teams, fostering a culture of innovation and collaboration. - Extensive experience in cloud-based ML model deployment, leveraging infrastructure-as-code (IaC) principles and MLOps best practices. - Experience working in regulated industries, with a strong understanding of data privacy, security, and compliance requirements (e.g., GDPR, EU AI legislation). - Proven more »

help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Life Sciences more »

tasks. Conduct thorough exploratory data analysis to gain insights into text data characteristics and develop effective pre-processing strategies. Collaborate with data engineers and MLops Engineers to integrate NLP models into our data pipelines and systems. Evaluate and benchmark different NLP algorithms, knowledge graph frameworks, and LLM architectures, and recommend … reports, visualizations, and presentations. Collaborate with cross-functional teams to define project goals, requirements, and success metrics. Engage in collaborative efforts with Enterprise Architects, MLOps Engineers to trial use cases and deliberate on architectural configurations. Mentor and provide guidance to junior team members, fostering their growth and development in NLP. more »

DevOps/MLOps Engineer Location: Hybrid (Leicester) Salary: up to £60,000 + Benefits Investigo is currently seeking a DevOps/MLOps Engineer for one of its large manufacturing clients. In this exciting role, you will join a dynamic and expanding team, playing a critical role in the strategic DevOps … working with cross-functional with Data Scientists, Software Engineers, and DevOps team members for efficient model development, testing, and deployment. The successful DevOps/MLOps engineer will have the following skills: 1+ years working as a DevOps Engineer Proven experience in DevOps/MLOps with a focus on deploying and more »