226 to 250 of 336 MLOps Jobs in the UK

A world-class Tech Organisation is looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis. This is an opportunity to work in an innovative environment with cutting-edge technologies. The company: The organization has been successful for over twenty years and is … effective use of tools like feature stores and model registries. This role acts as a bridge between data science and platform engineering teams, promoting MLOps best practices, resolving bottlenecks in inference and retraining pipelines, and addressing production issues to improve system robustness and cost efficiency. Key skills and experience: Prior More ❯

and Safer Gambling and establish a strong culture of data-driven decision-making in our organisation's strategy. We are looking for an experienced MLOps Engineer to support the delivery of ML products. You will work closely with the Data Science team to understand the data and product requirements. You More ❯

with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As an Manager in MLOps you will: Be engaged at the forefront of technological advancements in GenAI and expected to keep up to date with latest trends Set up the … the day-to-day technical engagements on a project, helping to manage a small team Be the go-to technical expert for all things MLOps Contribute to improving life at Accenture and the wider department by raising your voice and engaging – we want to hear your views! Performance manage a More ❯

with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As an Manager in MLOps you will: Be engaged at the forefront of technological advancements in GenAI and expected to keep up to date with latest trends Set up the … the day-to-day technical engagements on a project, helping to manage a small team Be the go-to technical expert for all things MLOps Contribute to improving life at Accenture and the wider department by raising your voice and engaging - we want to hear your views! Performance manage a More ❯

capabilities are the best of their class. As a keen technologist, able to engage various types of engineers, having themselves gained experience in AI, MLOps, and containerisation, to be able to achieve solutions that reduce risk and dispel the traditional approach. We are keen on you having excellent communication and More ❯

Senior MLOps Engineer – LLMs, AWS, Kubernetes We’re looking for a Senior MLOps Engineer to join a growing AI team. This is a hands-on role where you'll help design and build the infrastructure behind scalable machine learning systems. You’ll work on workflow automation, LLM deployment and fine … company is heading toward Series B – a good time to get involved. We’re looking for someone with 2–3 years of experience in MLOps who’s comfortable working across cloud-native platforms and ML pipelines. What you’ll need: Experience with AWS, Kubernetes, and Docker Solid background in MLOps More ❯

Senior MLOps Engineer – LLMs, AWS, Kubernetes We’re looking for a Senior MLOps Engineer to join a growing AI team. This is a hands-on role where you'll help design and build the infrastructure behind scalable machine learning systems. You’ll work on workflow automation, LLM deployment and fine … company is heading toward Series B – a good time to get involved. We’re looking for someone with 2–3 years of experience in MLOps who’s comfortable working across cloud-native platforms and ML pipelines. What you’ll need: Experience with AWS, Kubernetes, and Docker Solid background in MLOps More ❯

review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and oversee the implementation of an MLOps and LLMOps strategy. Align and contribute towards the wider Petcare MLOps strategy. Review code developed by the data science team to ensure solution can be More ❯

review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and oversee the implementation of an MLOps and LLMOps strategy. Align and contribute towards the wider Petcare MLOps strategy. Review code developed by the data science team to ensure solution can be More ❯

digital products and AI-driven solutions, ensuring scalability, security, and efficiency. This is a fantastic opportunity to work at the intersection of data engineering, MLOps, and generative AI, alongside an experienced and supportive team. Key Responsibilities Data Engineering: Build, optimise, and maintain robust data pipelines and APIs using Azure Data … Models (LMMs) into business workflows, enabling practical applications such as classification, knowledge extraction, and recommendation engines. Continuous Improvement: Stay updated on emerging cloud technologies, MLOps practices, and generative AI advancements to continually enhance infrastructure and capability. Skills and Requirements Some level of exposure or a couple of years working with … and a strong grasp of data formats like JSON. Practical experience working with generative AI models and integrating LLMs into operational solutions. Understanding of MLOps practices and familiarity with Azure DevOps. Experience with ML frameworks such as LangChain, PyTorch, and TensorFlow, plus exposure to data versioning and model management tools. More ❯

through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and performance optimisation of ML systems Contribute to … learning models to production Strong programming skills in Python and familiarity with modern ML frameworks Experience working in cloud environments (preferably AWS) Understanding of MLOps practices and tooling Effective communication and ability to work independently in a remote team Desirable: Experience with LLMs or generative AI technologies Previous consultancy or More ❯

of our AI systems. Our teams make extensive use of open source technologies such as Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join the AI Group as a … and to inform the next set of features for the platforms Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience Design CI/CD automation frameworks that incorporate regulatory requirements Troubleshoot and debug user issues Provide operational and user-facing documentation We are looking More ❯

of our AI systems. Our teams make extensive use of open source technologies such as Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join the AI Group as a … and to inform the next set of features for the platforms Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience Design CI/CD automation frameworks that incorporate regulatory requirements Develop cloud-native deployment patterns for AI systems across environments Troubleshoot and debug user More ❯

team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured … data with natural language, and content generation Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains Advise data teams on various data science such as architecture, tooling, and best practices Present at conferences such as Data+AI More ❯

team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured … data with natural language, and content generation. Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains. Advise data teams on various data science topics such as architecture, tooling, and best practices. Present at conferences such as More ❯

to-end features Work across the stack (Python, backend, and some frontend) Learn how to deploy, monitor, and maintain production-grade ML services using MLOps principles Help shape how tech is used to break down accessibility barriers About You On track to graduate (or recently graduated) with a strong degree … etc. Engineering & Cloud Azure (or similar cloud platforms like AWS, GCP) Microservices and event-driven architecture Infrastructure as Code (Terraform, Bicep, Pulumi) DevOps/MLOps: CI/CD workflows, monitoring (Grafana, Prometheus, Azure Monitor) Bonus: Exposure to NVIDIA ML stack, cuDF/cuPy, AR/VR or neuromorphic computing What More ❯

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human More ❯

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human More ❯

Job Description DevOps Architect with AWS - Leeds Serve as an AWS specialist, consult and provide technical guidance on AWS design, governance, performance, scalability, security, operations and cost control best practices to ensure we maximize our AWS investment Work with our More ❯

Job Description DevOps Engineer with AWS To successfully build and deliver our next-generation cloud-hosted and cloud-native technology platforms. You will work within product teams responsible for the full software development life cycle, from conception to deployment. You More ❯

Job Details: Principal Machine Learning Engineer Full details of the job. Job Title: Principal Machine Learning Engineer Job Description: Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning to turbocharge More ❯

level work. Required Skills and Attributes: 7 years or more of coding experience, with at least 3 years primarily focused on Python. Knowledge of MLOps principles and practices, especially in implementing them within production settings. Worked on cloud infrastructure (AWS, Azure, GCP) Worked on data-intensive products which are heavy More ❯

Founded 5 years ago and already 100 people strong with offices in both London and NY, our client has built a robust and explosive MLops business. Series B funded (raised over $30m), they are currently the youngest AI business to raise a Series B from the YCombinator portfolio! They have More ❯

SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £80,000 COMPANY: We are working with a leading telecoms/mobile network who are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design, build, and … deploy scalable machine learning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move models from More ❯

SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £80,000 COMPANY: We are working with a leading telecoms/mobile network who are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design, build, and … deploy scalable machine learning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move models from More ❯