351 to 375 of 898 MLOps Jobs in the UK

Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is £65,000, with More ❯

knowledge of Python, R, and Java. Experience scaling machine learning on data and compute grids. Proficiency with Kubernetes, Docker, Linux, and cloud computing. Experience with Dask, Airflow, and MLflow. MLOps, CI, Git, and Agile processes. Why you do not want to miss this career opportunity? We are a mission-driven firm that is revolutionising the Insurance and Banking industry. We More ❯

train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute to the growth of the AI team by sharing knowledge, providing mentorship More ❯

train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute to the growth of the AI team by sharing knowledge, providing mentorship More ❯

business-critical machine learning models using Azure ML in production environments. Strong skills in data wrangling using Python, SQL, and ADF . Proficiency in CI/CD, DevOps/MLOps , and version control systems. Familiarity with data visualization and reporting tools, ideally PowerBI. Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders. Desirable More ❯

DevOps practices to enhance operational efficiency. What You Need : A relevant BSc/MSc degree in a related field with strong industry experience. Proven expertise in ML engineering and MLOps, with a solid understanding of AI/ML model deployment processes. Hands-on experience with supporting and improving live production systems. Familiarity with web server and API designs for ML More ❯

business-critical machine learning models using Azure ML in production environments. Strong skills in data wrangling using Python, SQL, and ADF . Proficiency in CI/CD, DevOps/MLOps , and version control systems. Familiarity with data visualization and reporting tools, ideally PowerBI. Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders. Desirable More ❯

business-critical machine learning models using Azure ML in production environments. Strong skills in data wrangling using Python, SQL, and ADF . Proficiency in CI/CD, DevOps/MLOps , and version control systems. Familiarity with data visualization and reporting tools, ideally PowerBI. Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders. Desirable More ❯

Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Minimum Requirements Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 – 5 years of related professional experience, with 1+ years of experience More ❯

Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is £65,000, with More ❯

related field. Experience in developing and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or Node.js (willingness to upskill in Node.js/TypeScript). Ability to explain AI concepts to technical More ❯

Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is £65,000, with More ❯

leveraging cloud-native tools and services. AI Feature Integration Collaborate with engineering and product teams to embed AI-driven functionality into user-facing software. Technical Leadership Set standards for MLOps, automation, and performance tuning across the engineering team. Generative AI & LLMs Explore and integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code More ❯

shipping and maintaining ML models in production, including performance monitoring and optimization. Strong Programming: Proficiency in Python and ML libraries (e.g., PyTorch, scikit-learn, Hugging Face, etc.); familiarity with MLOps tooling and cloud environments (AWS/GCP/Azure). Analytical & Communication Skills: Ability to clearly explain complex ideas, trade-offs, and results to diverse audiences. Nice to Have: Experience More ❯

leveraging cloud-native tools and services. AI Feature Integration Collaborate with engineering and product teams to embed AI-driven functionality into user-facing software. Technical Leadership Set standards for MLOps, automation, and performance tuning across the engineering team. Generative AI & LLMs Explore and integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code More ❯

leveraging cloud-native tools and services. AI Feature Integration Collaborate with engineering and product teams to embed AI-driven functionality into user-facing software. Technical Leadership Set standards for MLOps, automation, and performance tuning across the engineering team. Generative AI & LLMs Explore and integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code More ❯

pricing, desirability scoring) and ensure ethical, bias-free automation. Cross-Functional Leadership: Lead a team of Product Managers (Data, Salesforce, Decision Engine) and collaborate with: Data Science & Engineering: Scale MLOps, model governance, and data quality. Commercial Teams: Develop pricing models for data-as-a-service (DaaS) offerings. Legal & Compliance: Embed GDPR, PSD2, and AI ethics into product design. Drive revenue More ❯

code in Python for data processing. - Business level English (written and verbal) PREFERRED QUALIFICATIONS - Experience working with AWS technologies (e.g., Lambda, CloudWatch, QuickSight, Athena, RDS, etc.). - Experience in MLOps, generative AI, large language models (LLMs), and collaborating with data science teams. - Experience providing technical leadership and mentoring other engineers on best practices for data engineering. - Experience in software engineering More ❯

for data science (DS). Low/no code approach to DS/AI IDEs & notebooks. Git & GitHub (or similar) Production: Serving to APIs, e.g. Streamlit, Dash Production particularly MLOps/LLMOps Good To Have Skills Fabric Copilot, Copilot Studio PySpark, R, Julia Databricks CRM familiarity, e.g. Salesforce Able to learn new skills on the fly, staying topical in a More ❯

support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced machine learning and optimization. Fluency in Python development, MLOps, and cloud deployment. Leadership in technical delivery and stakeholder engagement. How to Apply Send your CV and cover letter to contact@prospectsport.ai with the role in the subject line. You More ❯

pricing and desirability scoring, ensuring ethical, bias-free automation. Cross-Functional Leadership Lead a team of Product Managers (Data, Salesforce, Decision Engine) and collaborate with: Data Science & Engineering: Scale MLOps, model governance, data quality. Commercial Teams: Develop pricing models for data-as-a-service (DaaS). Legal & Compliance: Embed GDPR, PSD2, and AI ethics into product design. Drive revenue through More ❯

support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced machine learning and optimization. Fluency in Python development, MLOps, and cloud deployment. Leadership in technical delivery and stakeholder engagement. How to Apply Send your CV and covering letter to contact@prospectsport.ai with the role in the subject line. You More ❯

members and support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant experience. Deep expertise in advanced machine learning and optimization. Fluency in Python, MLOps, and cloud deployment. Leadership in technical delivery and stakeholder engagement. How to Apply Send your CV and cover letter to contact@prospectsport.ai with the role in the subject line. You More ❯

support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced machine learning and optimization. Fluency in Python development, MLOps, and cloud deployment. Leadership in technical delivery and stakeholder engagement. How to Apply Send your CV and covering letter to contact@prospectsport.ai with the role in the subject line. You More ❯

support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced machine learning and optimisation. Fluency in Python development, MLOps, and cloud deployment. Leadership in technical delivery and stakeholder engagement. How to Apply Send your CV and covering letter to contact@prospectsport.ai with the role in the subject line. You More ❯