1 to 18 of 18 MLOps Jobs in England with Remote Work Options

and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling and insurance are a plus. Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc are desirable We’ll help you gain Experience working in more »

agile working environment, with a focus on iterative and collaborative project delivery. Have worked with data visualisation tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's or Ph.D. in a quantitative field such as Computer Science, Statistics or related disciplines. Package Description more »

for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors 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 »

workflow within a production team Experience with Agile product development Experience of working in a start-up Best practices in data engineering Familiarity with MLOps Experience with building Restful services Experience presenting in front of project stakeholders Keen business development interest Start date : Immediate Contract Type : Permanent Oxford Dynamics is 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 »

cars faster and achieve greater sustainability through Machine Learning. As a Machine Learning Engineer/Data Scientist you will apply advanced Machine Learning and MLOps techniques to develop scalable, efficient solutions that solve real world customer problems. You'll collaborate with Agile engineering teams and write code (in Python) that 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 »

RLHF), as well as optimised training procedures (e.g. QLora & Adapters) Comfortable with the machine learning lifecycle from research to deployment. This includes all things MLOps - model development, validation, deployment and monitoring Familiarity with state of the art NLP - text embeddings (representation learning), vector databases, large language models, machine translation, intent 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.) Additional Information Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are more »

multi-disciplinary leadership skills and work together with the engineering and operations teams to ensure that systems are secure and scalable. Experienced in DevOps, MLOps and Data Ops concept Must be proficient in using Unix/Linux environments along with coding languages like Shell, Perl, and Python. Must be able more »

Prometheus Graphana Cloud provided (preferably GCP but AWS and Azure are also considered) CI/CD with Jenkins or Octopus Nice to have Datadog MLOPS Salary Up to £100K basic + £112.500K RSUs + 7.5% bonus Submit your details for more information about this opportunity. RedCat Digital is acting as more »

Python and MLOps Developer - London - Hybrid My client is dedicated to making the world’s intractable data interactable. They address the challenge of sharing essential data needed to solve global problems. Current data infrastructure limitations result in slow, costly, and often ineffective workarounds for collaborations between trusted partners. My client … accelerating the delivery of critical medicines to those in need. Thanks to growth, they're seeking a senior Python Software Engineer with expertise in MLOps and ideally desktop app development to join their Engineering team. This role involves developing a cutting-edge desktop application and its associated Python backend. The … maintaining flexibility and robustness across different environments. Key Technologies Needed for the Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies more »

Job Description DevOps Architect with AWS Our Client is an established international company with offices in Leeds UK. The looking to recruit a DevOps Architect with at least 3 to 5 years expertise as DevOps Architect around an AWS environment. more »

become an integral part of a growing company at the forefront of of cutting edge technology. Key Responsibilities: You'll be developing out their MLOps system all greenfield projects. Lead the development and deployment of end-to-end Ops pipelines supporting the entire ML lifecycle. Drive initiatives for CI/… work effectively to multiple internal teams including the data science and engineering teams. Grow team to 5 within 12 months Experience Required: Experience building MLOps systems from scratch Open to industry Package: Up to £105,000 Hybrid working – office based in London Industry leading benefits How to Apply: If you more »

Job Title : ML Ops Software Developer – Elite Fintech Startup (£160,000 + Hybrid) Client : Elite Fintech Startup Salary : £160,000 + performance-based bonuses Location : London/Hybrid Roles and Responsibilities : We are working with an Elite Fintech Startup who more »

Location: London, Manchester, Glasgow (hybrid working arrangements, typically 2 days per week in the office). Employment type: Permanent. Salary: up to £100,000 dependent on experience, plus bonus and other benefits. An overview of the role: We're seeking more »

Enterprise Data Architect Location: Central London (Hybrid - 2/3 days a week in the office) Contract Length: 12 months Rate: £650-£750 per day (Inside IR35) The client is seeking an experienced Enterprise Data Architect to join their team more »