12 of 12 Permanent MLOps Jobs in the West Midlands

optimize visualization performance Enhance dash boarding capabilities to deliver fast and flexible experiences Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining, monitoring, and deployment ...

/CD pipelines. Practical data science experience building statistical and machine learning models, including feature engineering, hyperparameter tuning. Experience productionising ML and GenAI solutions (MLOps): deploying end-to-end model pipelines and establishing evaluation, benchmarking, and continuous monitoring frameworks. Experience leveraging GenAI technologies to build data solutions. Ability to communicate ...

outputs, assumptions and trade-offs. Good understanding of data engineering, data quality, privacy, ethics and responsible model use. Desirable skills and experience Experience with MLOps, cloud platforms, vector databases, NLP/LLMs or AI-assisted products. Experience mentoring data scientists or setting technical standards within a team. Experience working ...

integration. Architect production-grade GenAI solutions including RAG, intelligent search, knowledge assistants, workflow automation, and decision-support systems. Establish AI engineering standards covering LLMOps, MLOps, platform governance, observability, security, and responsible AI. Lead technology selection across LLMs, orchestration frameworks, vector databases, and cloud AI platforms. Drive enterprise adoption … Experience with Kubernetes, Docker, Terraform, Bicep, CI/CD, and Infrastructure as Code. Proficiency with GitHub Actions, GitLab, and Jenkins. Knowledge of LLMOps and MLOps, model governance, AI security and guardrails, LangSmith, Arize, and monitoring and evaluation frameworks. Master's degree in Computer Science, AI, Data Science, or related discipline ...

solutions into existing products and platforms. ✔️ Optimize model accuracy, efficiency, and scalability. ✔️ Research new AI frameworks, methodologies, and technologies. ✔️ Deploy and monitor models using MLOps pipelines. ✔️ Utilize cloud AI services from AWS, Azure, or Google Cloud. ✔️ Collaborate with cross-functional teams to define AI project goals. ✔️ Translate complex data insights ...

operations. Measure and demonstrate the value delivered by analytical solutions. What you'll bring Strong commercial experience as a Machine Learning Engineer, MLOps Engineer, Data Scientist or similar quantitative role. Experience supporting the development, deployment or operation of forecasting, optimisation or machine learning models within a business environment. Strong Python ...

National Gas Transmission PLC in the United Kingdom is seeking a Senior Data Scientist to develop advanced analytics, forecasting and ML solutions that support the safe and efficient operation of Britain's gas transmission network. ...

/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business \n Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines \n Collaborate with enterprise platform and data science … What we're looking for \n \n Deep expertise in Python and ML engineering \n Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures \n Track record of leading ML/AI technical initiatives across multiple teams \n Strong experience with cloud platforms (AWS, Azure ...

responsible for turning machine learning models into production-grade solutions that deliver real value across the business. Working at the intersection of software engineering, MLOps, and data science, you'll build the frameworks, pipelines, and services that enable machine learning models to be deployed, monitored, scaled, and embedded within customer … one. Key responsibilities Partner with Data Scientists to transition models from experimentation into scalable, production-ready applications and services Design, build, and maintain MLOps frameworks, deployment pipelines, and automated model lifecycle processes Develop and support CI/CD pipelines, version control frameworks, and automated testing processes for machine learning solutions ...

Halfords is seeking a Machine Learning Engineer to turn models into production-grade services powering customer and operational experiences. You will bridge software engineering, MLOps, and data science to build scalable pipelines and APIs deployed at enterprise scale. You will work with Data Scientists to move experiments into robust solutions ...

Machine Learning Engineer to turn ML models into production-grade solutions across the business. You’ll work at the intersection of software engineering, MLOps and data science, building frameworks, pipelines and services for deployment, monitoring and scaling of models from experimentation to live environments. You’ll partner with data scientists ...

data science projects from discovery through to production deployment. Analyse and prepare large datasets from operational, asset, weather and market sources. Build and maintain MLOps pipelines to support reliable and scalable model deployment. Create dashboards, visualisations and applications that communicate insights to stakeholders. Work closely with engineers, operators and business … Strong Python programming skills, including experience with libraries such as pandas and scikit-learn. Experience designing, deploying and maintaining machine learning solutions using modern MLOps practices. Experience extracting, manipulating and analysing data using SQL. Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. Degree ...