6 of 6 MLOps Jobs in Bristol

Job Title: MLOps Engineer Location: Bristol – 1-day onsite p/m Start Date: ASAP Salary: £75,000 - £90,000 Note: Candidates must be willing and eligible to undergo SC Clearance. Join a European leader in AI-driven technology, delivering innovative surveillance solutions that enhance safety and save lives. They provide cutting-edge services combining real-time intelligence, data, and … AI to transform operational outcomes globally. About the Role We are seeking an MLOps Engineer to manage and optimise the machine learning lifecycle, from development to deployment and monitoring. You will work closely with data scientists, software engineers, and IT teams to ensure seamless, scalable, and reliable machine learning solutions in production environments. Key Responsibilities - Pipeline Development: Build and maintain … deliver solutions that meet technical and business requirements. - Security & Governance: Implement best practices for data security, model governance, and compliance. - Documentation & Innovation: Maintain clear documentation and stay updated on MLOps trends and technologies. Profile & Requirements - Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field. - 3+ years in ML, DevOps, or MLOps with hands-on experience More ❯

which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO. We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and collaborative environment where innovation thrives, and continuous learning More ❯

Data Scientist Location: Hybrid (Greater Bristol Area) Salary: £54,000 Python - PySpark - Azure - Pandas - Scikit-learn - TensorFlow - PyStats - Data Science - Power BI We're supporting a growing, forward-thinking organisation in their search for an experienced Data Specialist. This is More ❯

experience applying these techniques in production environments. Project Leadership : Proven experience leading complex technical projects, with a track record of successfully evolving existing systems and innovating with new solutions. MLOps & Modern Practices : Strong understanding of modern data science and MLOps practices, including model lifecycle management, experimentation, and CI/CD. Core Programming & Software Craftsmanship : Proficiency in Python and SQL, with More ❯

productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance. Developing deep learning architectures and implementing neural networks tailored to complex use cases. Implementing and maintaining MLops workflows Collaborating closely with Data Engineers and DevOps teams to support continuous integration, deployment, and automation. Exploring new tools and frameworks to keep your solutions modern and efficient. Working with … of machine learning architectures, loss functions, tools and techniques. Experience developing & training machine learning models, including hyperparameter tuning and optimizing model performance. Experience with (or at least exposure to) MLOps workflows, such as CI/CD pipelines. Experience with Python and SQL. Critical thinking and ability to problem solve. Experience in developing data pipelines, including exposure to ETL (Extract, Transform More ❯

which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and collaborative environment where innovation thrives, and continuous learning More ❯