1 to 25 of 36 MLOps Jobs in the UK 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 »

About Builder.ai We’re on a mission to make app building so easy everyone can do it – regardless of their background, tech knowledge or budget. We’ve already helped thousands of entrepreneurs, small businesses and global brands, like NBC Universal more »

computational resources, inference speed, and memory efficiency. Good grasp of architecture and how best to integrate machine learning into backend services. Some experience with MLOps processes and tools. Experience with AWS SageMaker would be ideal. Understanding of CI/CD & DevOps principles. Experience working with cloud environments. If you feel 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 »

cloud SDKs and APIs. Deep understanding of AI/ML to enhance pipeline efficiency, with experience in TensorFlow, PyTorch, AutoML, Python/R, and MLOps platforms like MLflow and Kubeflow. Solid background in DevOps , including CI/CD automation with Bitbucket Pipelines, Azure DevOps, and GitHub. Capability to automate the more »

and libraries. Experience with ML experiment tracking and collaboration tools like MLflow and Weights & Biases . A strong foundation in software engineering, DevOps practices, MLOps deployment, and infrastructure management. An affinity for generative AI frameworks and SDKs , such as RAG, Langchain, Semantic Kernel, and tools like MS tooling, Co-Pilot more »

environments, ensuring seamless integration with legacy systems. S trong AI and ML principles , with a track record of model development, deployment, and mastery of MLOps practices. Experienced in crafting enterprise-scale cloud-native AI/ML solutions Proficiency in data pipeline orchestration across hybrid environments, leveraging the latest in Azure more »

Principal AI Engineer – GenAI MLOps and GenAI – Hybrid working As a Principal AI/ML Engineer, are you ready to pioneer the future of GenAI technology? You'll have the opportunity to work on the forefront of GenAI technology, strategizing, building, driving innovation and shaping the future of automation solutions. more »

Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience more »

team members from multidisciplinary backgrounds. Interest in promoting your work and the ways we have solved complex challenges. You might also have Experience in MLOps including experiment tracking and model deployment Experience with current LLM frameworks, such as LangChain and open-source LLM deployment (e.g., llama-cpp, ggml, Xorbits Inference more »

Working knowledge of LLMs and related frameworks like Langchain and Semantic Kernel. Understanding of AI agents and their application in business contexts. Familiarity with MLOps/DevOps, particularly within cloud environments. Strong coding skills in Python and experience with C#, Azure Functions, and Event Hubs. A solid understanding of data more »

working with (or strong desire to rapidly learn about) Large Language Models, including: —- Fine tuning using industry-specific data —- Evaluation for specific use cases —- MLOps Offer Competitive salary Remote working with flexible hours 28 days personal time off Employee stock options Regular team meet ups Progression opportunities as we scale more »

to build optimal systems. Experience with creating systems that monitor and react to faults in resources, data streams and model responses. Deep experience with MLOps tools for scalable, production-level deployment including past work with feature stores, model hosting and versioning, data versioning, prediction and drift monitoring, and automated remediation more »

of resources. Good communication skills in English, both written and verbal. Experience with building and or using model management tools (e.g. mlflow) Experience with MLOps (model orchestration, updating, etc.) Experience with Kafka is a strong plus as some of the pipelines are event-Driven Nice to have: Experience with setting more »

of NPU/GPU/CPU/AI accelerators Software-hardware co-design work Deep learning frameworks, PyTorch, TensorFlow C/C++, Python Desirable MLOps, including model training, quantisiation, sparsity, model preprocessing etc. ML Compiler stack Verilog/RTL designs What’s on offer? £80-120,000 (depending on experience 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 »

leading the deployment of Data & AI solutions. Proficiency in the Microsoft Azure Data Stack, experience with LLMs, prompt engineering, AI Agents, and familiarity with MLOps/DevOps practices. Strong coding skills in Python and C# are a plus. Exceptional skills in client engagement and strategic solution delivery. Ability to inspire more »

leading the deployment of Data & AI solutions. Proficiency in the Microsoft Azure Data Stack, experience with LLMs, prompt engineering, AI Agents, and familiarity with MLOps/DevOps practices. Strong coding skills in Python and C# are a plus. Exceptional skills in client engagement and strategic solution delivery. Ability to inspire 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 »

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 »

vision and ML applications Build ML models that meet performance, reliability, and scalability measures Prepare data for ML processing and develop infrastructure Contribute to MLOps infrastructure and CI/CD pipelines for ML model deployment Monitor deployed models for performance, proposing improvements to meet objectives Your skills: Background designing and more »

Machine Learning Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for you? As a talented Python Machine Learning more »

NLP) principles and methodologies. Hands-on experience in utilizing open-source Hugging Face models and fine-tuning Language Models (LLMs) to achieve project objectives. MLOps What's in it for you Salary of up to £75,000 dependent on experience The opportunity to work remotely, providing flexibility and autonomy in 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 »