22 of 22 MLOps Jobs in the South West

with NLP (Natural Language Processing), computer vision, or reinforcement learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version Control: Familiarity with version control tools such as DevOps/Git. Soft Skills More ❯

Qualifications: Strong experience in AI/ML development focusing on LLMs and biomedical NLP. Proficiency in deep learning frameworks (TensorFlow, PyTorch). Experience with MLOps tools and cloud environments (AWS, Azure, GCP). Expertise in model inference optimization techniques. Understanding of biomedical ontologies and healthcare data formats. Experience deploying AI More ❯

cross-functional working environment Possess a clear passion for data science beyond the day job Nice-to-haves: NLP, OpenCV, Generative AI, data visualization, MLOps On offer : Base salary of £85k - £95k depending on experience Hybrid working - 3 days in the Bristol office More ❯

such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Good stakeholder communication skills with proven ability to translate complex scientific findings to non-technical stakeholders. Understanding of the financial industry, in More ❯

such as Scikit learn, Keras, Tensor flow, and PySpark. ·Experience and understanding of mixed technical teams such as engineering, architects, business analysts. ·Familiar with MLOps industry best practices. ·Understanding of the financial industry, in particular insurance, would be advantageous. If you are interested in this opportunity get in touch today More ❯

such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of the financial industry, in particular insurance, would be advantageous. If you are interested in this opportunity get in touch today More ❯

such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of the financial industry, in particular insurance, would be advantageous. If you are interested in this opportunity get in touch today More ❯

such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of the financial industry, in particular insurance, would be advantageous. If you are interested in this opportunity get in touch today More ❯

across teams You'll work closely with data scientists, product managers, and engineers to ensure AI solutions are robust, explainable, and production ready. Applying MLOps and CI/CD best practices You'll contribute to scalable ML workflows that ensure fast iteration, effective monitoring, and smooth deployment of AI features. More ❯

development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on More ❯

development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on More ❯

development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on More ❯

industry advancements and emerging AI applications. 🔹 Collaborate with external partners, including other government agencies and industry bodies. 🔹 Provide technical leadership on machine learning deployment, MLOps, and model performance monitoring . Key Requirements ✅ Expertise in Data Science & Machine Learning , including supervised/unsupervised learning, deep learning, and generative AI. ✅ Strong understanding More ❯

AWS) Experience with RASTER Strong experience across industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Knowledge of Rust Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases This role would More ❯

AWS) Experience with RASTER Strong experience across industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Knowledge of Rust Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases This role would 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 ❯

mentoring data scientists in a commercial setting Currently working as a Data Science Manager, Lead Data Scientist or similar Experience working on GenAI/MLOps and similar projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit … learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross-functional teams with engineering, architecture, and product Knowledge of the insurance or financial services industry would be a bonus Comfortable working More ❯

mentoring data scientists in a commercial setting Currently working as a Data Science Manager, Lead Data Scientist or similar Experience working on GenAI/MLOps and similar projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit … learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skills—able to translate complex insights into business impact Experience working in cross-functional teams with engineering, architecture, and product Knowledge of the insurance or financial services industry would be a bonus Comfortable More ❯

our labelling, training and production inference data pipelines to produce high quality datasets, models and services to power our automated vehicle inspection product. Following MLOps and DevOps best practices you will build and deploy bespoke computer vision ML models using a service-oriented architecture in AWS, GCP and on Edge … may be reasonably required to fulfil DeGould's objectives. Depending on the individual role, some or all of the following: Developing and championing robust MLOps frameworks and policies. Training and maintaining performant vehicle segmentation models. Labelling tasks and data quality. Designing and implementing reporting dashboards. Developing novel approaches from academic … PyTorch, Keras, or Tensorflow. Working knowledge of core AWS concepts and services such as EC2, ECS, EKS, and DynamoDB. Good knowledge of DevOps and MLOps tools, including usage of Git, Bash, UNIX, Docker, containers and CI/CD pipelines (GitHub Actions or similar). Able to work effectively both as More ❯

Data Science Manager, Lead Data Scientist or similar Proven experience leading or mentoring data scientists within a commercial environment Experience working on GenAI/MLOps and similar projects Solid background delivering AI/ML projects end-to-end, with real business impact Hands-on Python skills including libraries like Scikit … learn, TensorFlow, Keras, and PySpark Strong understanding of model deployment and MLOps best practices Ability to work with real-world, unbalanced and messy datasets Skilled in translating technical work into insights for non-technical stakeholders Experience working across cross-functional teams (engineers, architects, analysts) Sector experience in healthcare, finance or More ❯

Data Science Manager, Lead Data Scientist or similar Proven experience leading or mentoring data scientists within a commercial environment Experience working on GenAI/MLOps and similar projects Solid background delivering AI/ML projects end-to-end, with real business impact Hands-on Python skills including libraries like Scikit … learn, TensorFlow, Keras, and PySpark Strong understanding of model deployment and MLOps best practices Ability to work with real-world, unbalanced and messy datasets Skilled in translating technical work into insights for non-technical stakeholders Experience working across cross-functional teams (engineers, architects, analysts) Sector experience in healthcare, finance or More ❯

ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our More ❯