101 to 125 of 336 MLOps Jobs in the UK

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. 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 ❯

and client audiences Nice-to-Have: Experience with marketing data, customer-level modelling, or decision science (e.g. uplift, attribution, causal AI, optimization) Familiarity with MLOps tooling (MLflow, FastAPI, Airflow, etc.) Experience designing and interpreting A/B tests or other experimental frameworks Background in consulting, agency, or fast-paced environments More ❯

and client audiences Nice-to-Have: Experience with marketing data, customer-level modelling, or decision science (e.g. uplift, attribution, causal AI, optimization) Familiarity with MLOps tooling (MLflow, FastAPI, Airflow, etc.) Experience designing and interpreting A/B tests or other experimental frameworks Background in consulting, agency, or fast-paced environments More ❯

skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience/skill) with hybrid working (2 days More ❯

skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working (2 days More ❯

skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working (2 days 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 ❯

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 ❯

In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities Evaluate state of the art and retrain More ❯

In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities Evaluate state of the art and retrain More ❯

growth-focused role perfect for someone with a solid technical foundation and a hunger to dive deep into the evolving world of Generative AI, MLOps, and cloud infrastructure. We value in-person collaboration here at Matillion, therefore this role will follow our hybrid work structure where employees work 2 days More ❯

deep familiarity across the stack - compute infrastructure (Amazon EC2, Amazon EKA), ML frameworks PyTorch, JAX, orchestration layers Kubernetes and Slurm, parallel computing (NCCL, MPI), MLOPs, through to Amazon SageMaker Hyperpod, Amazon Bedrock as well as target use cases in the cloud. This is an opportunity to be at the forefront More ❯

to have a clear and tangible impact across a group of businesses with senior stakeholder engagement. And you'll be supported by our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities More ❯

data pipelines. Knowledge of real-time data processing and event driven systems. Use of Kafka, Event Hubs or similar. Experience working with data scientists, MLOps and building ML enabled features. Why Us Data is at the heart of everything we do at Dotdigital and have a lot of it! We More ❯

Python and SQL. Experience with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform. Deep understanding of Generative AI, NLP, and MLOps concepts. Analytical, flexible, independent, and a strong communicator. WE OFFER: A flexible, hybrid working policy (2 days from the office, depending on location). An More ❯

and customer data to drive business activity Strong awareness and understanding of technology trends and developments in data science, analytics and AI Experience in MLOps, data science engineering, or model deployment using tools such as Github and AWS What I need to show Curiosity, scepticism and attention to detail regarding More ❯

comprehensive model monitoring. Develop model training and evaluation pipelines to accelerate model development/deployment adhering to software development best practices (CI/CD & MLOps) Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling. Requirements You have at least More ❯