251 to 275 of 1,209 MLOps Jobs in the UK

with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. Willingness to explore emerging technologies such as agentic AI, GitHub Copilot, Microsoft Copilot and Copilot Studio. More ❯

will also oversee traditional deep learning model development from design, training, evaluating to deployment, with a focusing on fine turn LLMs. The role will interact with product, design, engineering, MLops, and domain experts and partners. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives More ❯

s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access More ❯

large organizations. You have experience developing state-of-the-art deep learning models, LLMs, and advanced AI architectures. You are an industry expert in ML model development, deployment, and MLOps at scale. You are deeply comfortable with Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch) and have experience working in a microservices architecture (Go Lang experience is a plus). More ❯

s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access More ❯

GenAI. Strong understanding of data ecosystem components including data lakes, data warehouses, data mesh architectures, and associated architectural patterns. Strong understanding of methodologies and principles of data science and MLOps, including model development, validation, and lifecycle management. Experience in data pipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs associated with specific use-cases More ❯

Description About WPP Media WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. WPP Media is WPP's global media collective. More ❯

Title: Senior Data Scientist, Media Optimization Location: London Reporting to: VP, Data Science, Optimization Who we are: Choreograph is WPP's global data products and technology company. We are on a mission to transform marketing by building the fastest, most More ❯

Title: Senior Data Scientist, Media Optimization Location: London Reporting to: VP, Data Science, Optimization Who we are: Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most More ❯

Job Summary: Title: Lead Data Scientist Location: UK - London (Remote) Division: Marketplace Contract Terms: Full Time Permanent THE TEAM You will be joining a new Data Engineering and Data Science team to help get the most value out of our More ❯

Senior MLOps Engineer - Hybrid/Dundee Salary up to £70,000 We are looking for a Senior MLOps Engineer to join a Scottish company working on cutting edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence. The Role: Managing and optimising existing ML model deployments to ensure reliability …/CD pipelines, monitoring systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. The Ideal Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization More ❯

Senior MLOps Engineer Hybrid/Dundee Salary up to £70,000 We are looking for a Senior MLOps Engineer to join a Scottish company working on cutting edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence. The Role: Managing and optimising existing ML model deployments to ensure reliability More ❯

Senior MLOps Engineer Hybrid/Dundee Salary up to £70,000 We are looking for a Senior MLOps Engineer to join a Scottish company working on cutting edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence. The Role: Managing and optimising existing ML model deployments to ensure reliability More ❯

Senior MLOps Engineer Hybrid/Dundee Salary up to £70,000 We are looking for a Senior MLOps Engineer to join a Scottish company working on cutting edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence. The Role: Managing and optimising existing ML model deployments to ensure reliability More ❯

our team. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. Skills and Experience Thorough knowledge of the R language Working understanding of MLOps and DevOps frameworks Daily use of GitHub, including version control, collaboration, testing and CI/CD Superb written and verbal communication skills anddemonstrated ability to effectivelycommunicate complex technical and statistical … ideas to non-specialists Experience in cloud platforms such as databricks What you will do Act as a bridge between statisticians and technical teams. Design and implement MLOps frameworks to support the deployment of statistical models as REST APIs. Refactor and optimise R code for production use, with a focus on performance, reproducibility, and API integration. Educate both statisticians and … engineering teams on MLOps principles to ensure shared understanding. Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with More ❯

About this role As a Platform engineer, MLOps, you will be critical to deploying and managing cutting-edge infrastructure crucial for AI/ML operations, and you will collaborate with AI/ML engineers and researchers to develop a robust CI/CD pipeline that supports safe and reproducible experiments. Your expertise will also extend to setting up and maintaining 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 development to production seamlessly. Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy. Develop best practices More ❯

SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £75,000 + £5,000 bonus + strong pension COMPANY: We are working with a leading telecoms/mobile network who are looking to change the game when it comes to the service it provides its customers. They 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 More ❯

and generating suitable recommendations. You will manage the ML lifecycle from data collection and model design to operationalization and monitoring. You will work closely with data scientists and senior MLOps Engineers to deploy models into production. At Data Reply, you'll benefit from extensive training and a detailed learning path. You will be part of a diverse environment, engaging in … and govern machine learning pipelines Manage infrastructure and orchestration pipelines for training and deploying models Implement solutions to monitor model performance in production Work with Data Engineers, Data Scientists, MLOps Engineers, and Data Visualization Specialists Engage with domain experts to understand and solve complex problems Analyze and interpret client data, communicating findings effectively About the candidate: A minimum 2.1 Bachelor More ❯

an inclusive employer and a member of myGwork – the largest global platform for the + business community. Please do not contact the recruiter directly. Job Details Job Title: Principal MLOps/GenAI Infrastructure Engineer Salary: £76,700 - 87,600 (The expected salary range for this role reflects internal benchmarking and external market insights.) Band: D Location: London/Salford/… and do the best work of their careers. Your Key Responsibilities And Impact Lead the design, development, and evolution of robust tooling and platforms to support scalable Data Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related … culture through mentorship, knowledge sharing, and thought leadership via deep dives, brown bags, internal tech talks, and cross-team collaboration. Your Skills And Experience Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud- environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC More ❯

to complex business problems, with the goal of improving supply chain efficiency, optimise vehicle movement, and enhance operational workflows across the organisation. You’ll be supported by a modern MLOps and Data Engineering function, giving you the time and tools to focus on innovation , model development , and strategic delivery . Key Responsibilities Lead and mentor a data science team focused … mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems. Work cross-functionally with senior stakeholders to translate business requirements into scalable technical solutions. Collaborate with MLOps and Engineering teams to productionise models using robust and scalable pipelines. Champion the integration of model outputs into wider data and reporting platforms. Clearly communicate technical insights and model outcomes … functional squads. What You’ll Get in Return A leadership role where your work has direct and measurable impact on operational efficiency and bottom-line performance. Dedicated support from MLOps and Engineering teams to accelerate delivery. Access to career development support including coaching, mentoring, and leadership training . A competitive salary package including car allowance , bonus , and comprehensive benefits such More ❯

to complex business problems, with the goal of improving supply chain efficiency, optimise vehicle movement, and enhance operational workflows across the organisation. You’ll be supported by a modern MLOps and Data Engineering function, giving you the time and tools to focus on innovation , model development , and strategic delivery . Key Responsibilities Lead and mentor a data science team focused … mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems. Work cross-functionally with senior stakeholders to translate business requirements into scalable technical solutions. Collaborate with MLOps and Engineering teams to productionise models using robust and scalable pipelines. Champion the integration of model outputs into wider data and reporting platforms. Clearly communicate technical insights and model outcomes … functional squads. What You’ll Get in Return A leadership role where your work has direct and measurable impact on operational efficiency and bottom-line performance. Dedicated support from MLOps and Engineering teams to accelerate delivery. Access to career development support including coaching, mentoring, and leadership training . A competitive salary package including car allowance , bonus , and comprehensive benefits such More ❯

team will design and deploy advanced models that improve supply chain efficiency, optimise vehicle movement, and enhance operational workflows across the organisation. You’ll be supported by a modern MLOps and Data Engineering function, giving you the time and tools to focus on innovation , model development , and strategic delivery . This is a hybrid role , with flexibility to work from … mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems. Work cross-functionally with senior stakeholders to translate business requirements into scalable technical solutions. Collaborate with MLOps and Engineering teams to productionise models using robust and scalable pipelines. Champion the integration of model outputs into wider data and reporting platforms. Clearly communicate technical insights and model outcomes … functional squads. What You’ll Get in Return A leadership role where your work has direct and measurable impact on operational efficiency and bottom-line performance. Dedicated support from MLOps and Engineering teams to accelerate delivery. Access to career development support including coaching, mentoring, and leadership training . A competitive salary package including car allowance , bonus , and comprehensive benefits such More ❯

Experience developing AI/ML solutions using Python? * Knowledge of frameworks such as PyTorch (preferred), TensorFlow, or Scikit-learn? * Experience with NLP, deep learning, or computer vision? * Familiarity with MLOps tools (Azure ML Pipelines, MLflow, Docker, Kubernetes)? * Experience working with cloud platforms such as Azure, GCP, or AWS? * The abbility to engage with technical and non-technical teams? Would you … prospects and a strong benefits package, including hybrid working, bonus schemes, private healthcare and more? If so, please apply! Python | AI | Machine Learning | NLP | Deep Learning | Azure | PyTorch | TensorFlow | MLOps | Kubernetes | OpenAI | CI/CD | Software Engineering | LegalTech All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the More ❯

life sciences applications. You'll be at the forefront of deploying agentic AI frameworks and LLM-powered features into production systems, designing AI infrastructure, and establishing best-in-class MLOps and LLMOps practices. Key Responsibilities Design, build, deploy, and maintain scalable AI services and infrastructure using cloud-native tools (Azure and AWS preferred). Develop robust backend systems and APIs … Experience designing, building, and deploying LLM-powered applications in production. Familiarity with transformer architectures and practical handling of LLM context, prompt chaining, and prompt engineering. Hands-on experience with MLOps tools like MLflow, Weights & Biases, and orchestration platforms like Kubeflow or Databricks. Deep understanding of cloud platforms (especially Azure and AWS), containers, microservices, and event-driven architecture. Strong problem-solving … iterative delivery. Comfortable working independently as well as mentoring others in best practices. Enthusiastic about improving human health and performance through cutting-edge AI. Preferable experience: Experience with Databricks MLOps and model registry tools. Experience fine-tuning LLMs. Background in agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI). Contributions to relevant open-source projects. Familiarity with monitoring/observability tools More ❯