editor of choice Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential.Knowledge of MLOps is not essential, but some awareness of this emerging space is good to have.Experience with Kubernetes is a strong plus Fluency in English Our commitment more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
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 »
solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. Great people skills will be also vital in the role. You will be working with, and expected to influence, colleagues more »
its enormous benefits safely.What You'll Be DoingWorking in our Defence business unit 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 defence and 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 »
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 »
London, England, United Kingdom Hybrid / WFH Options
Dell Technologies
ACS, Quay, Podman), Ansible Automation Platform, and Red Hat Enterprise Linux. Advanced skills in Ansible, cloud automation tools, secrets management (Hashicorp Vault), and incorporating MLOps for streamlined machine learning workflows. Profound understanding of DevSecOps principles and CI/CD practices, expertise in Git and GitOps, and proficiency with CI/ more »
employee stock options, generous paid leave, and trips abroad #WhatWillYouBuildWhy We Need This RoleWe 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 upgrading … 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 »
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 »
Role Title: ML Ops Engineer Contract duration: 3 months Location: London- HYBRID Industry: banking -------------------------------------- Required Core Skills: -CI/CD pipelines and Agile frameworks -MLops -Python - Min 8 yrs experience and 5 yrs experience in machine learning Nice to have skills: -data engineering -LLM and Gen AI Minimum years of … to quickly pickup multiple technologies and use them in the correct manner -Must know CI/CD pipelines and Agile frameworks , preferably with the MLOps context . -Understanding or familiar with technologies such as: Scikit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab more »
while pushing the boundaries of technology.Your key outcomes will be:Building and enhancing our ML platform to enable the smooth operation of ML models.Implement MLOps best practices to improve the development, deployment and monitoring of ML models (including NLP models and GenAI).Providing advice and guidance on ML best practices … best practices and software engineering guidelines.Contribute to the development and enhancing of our ML platform.Mentoring and educating other teams about effective ML practices and MLOps strategies.Systems: GCP services (BigQuery, Cloud Composer, DataForm, VertexAI, etc), GitHub, DataRobot. You’ll be a successful Senior Machine Learning Engineer at OVO if you…Experience … in developing ML models and building training/validation/test datasets.Experience in repeatable cloud infrastructure provisioning, configuration management across the MLOps architecture (including CI/CD pipelines) and database systems.Fluency in Python and SQL.Strong understanding of software testing and continuous integration.Proven ability to deliver high-quality data and software more »
Our client based in Brentford is seeking a Systems Integration Specialist/Senior Software Engineer to join their team.MFK Recruitment has successfully recruited 4 individuals to the team in the past 3 years, all 4 candidates are still with the 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 »
save the company money but also get the performance boosts in model development.What you will bring to WayveEssential Prior experience as a manager of MLOps and Infra teamsPassionate about fostering personal and professional growth in individual team members, building inclusive high performing teamsIndustry experience with embodied AI development with real … product impactExperience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverablesPrior hands-on Cloud Infrastructure and/or MLOps experienceDesirableExperience working in a project-based (“matrix”) operating environmentBachelors in Computer Science, Engineering, or similar experience (e.g STEM)Strong knowledge of Machine Learning and/ 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 »
