76 to 90 of 90 MLOps Jobs in the UK

MLOPS ENGINEER REMOTE £70,000 - £90,000 COMPANY: A cutting-edge London-based startup specializing in transforming how financial professionals access and utilise data is seeking an experienced AI Developer/MLOps Engineer with LLM experience to join their team. With a strong focus on AI-driven automation and analytics more »

Data Engineering Manager £90,000 – £100,000 + Bonus + Car Allowance Hertfordshire – Hybrid – 2 day per week We are representing a market-leading UK Financial Services business who are looking for a Data Engineering Manager to join their organisation. more »

About Us: MetrixLab is a fast-growing global market research and insights company that’s challenging the status quo of insights. By blending evolving technology with passionate experts, MetrixLab helps global and local brands to drive more impact, and forges more »

Drive AI innovation and scalability at a leading investment firm. Lead the development and optimisation of cutting-edge MLOps platforms using AWS. Collaborate with a dynamic team to drive AI innovation and excellence for an industry-first. Flexible working environment, great compensation, excellent benefits and growth opportunities. Join an exciting … models. Work with advanced technologies in a collaborative environment and contribute to significant AI-driven solutions. What you’ll be doing As a Senior MLOps Engineer, you will be at the forefront of deploying cutting-edge machine learning models and providing comprehensive support to ensure seamless integration into production environments. … Your responsibilities will include: Developing and optimising the MLOps platform to streamline the ML lifecycle. Implementing and managing CI/CD pipelines for efficient development, testing and deployment processes. Collaborating with data scientists and engineers to drive innovation and excellence in AI solutions. Ensuring scalability, reliability, and performance of machine more »

special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD and ideally post-doctoral or more »

Extensive familiarity with CI/CD platforms and best practises, including GitHub Actions. Nice to have: * Data Bricks setup using Terraform experience. * Experience of MLOps and DataOps. * Experience of using container technologies, cloud platforms (ideally AWS), and distributed processing frameworks like Spark and Dask. * Experience in Javascript application development and more »

Extensive familiarity with CI/CD platforms and best practises, including GitHub Actions. Nice to have: * Data Bricks setup using Terraform experience. * Experience of MLOps and DataOps. * Experience of using container technologies, cloud platforms (ideally AWS), and distributed processing frameworks like Spark and Dask. * Experience in Javascript application development and more »

visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery more »

command of Python and its data analysis libraries (e.g., numpy, scipy) Proven expertise in Python-based machine learning, optimization, and process mining Knowledgeable about MLOps principles, CI/CD, model versioning, monitoring, and deployment Competent in utilizing Linux, Docker, AWS, Kafka, and git Consistent practice of best software development methodologies more »

A fantastic opportunity has arisen for an experienced professional to join a distribution market leader as DevOps/MLOps Engineer at their site based in Leicester. You will work a hybrid role, with 3 days at home and 2 days in the office, working core hours Monday to Friday. As … a DevOps/MLOps Engineer you will be operationalising machine learning effectively. You will support the architectural needs of their Data Science team to ensure the seamless deployment, monitoring, and maintenance of machine learning models and data pipelines. You will work in close collaboration with the Data Science team to … position, you will develop and maintain automation scripts and tools to streamline the machine learning model deployment process and ensure reproducibility. The DevOps/MLOps Engineer will implement security best practices and ensure compliance with relevant data privacy regulations in all processes as well as work cross-functionally with Data more »

office. Responsibilities include participation in software planning, conducting thorough code reviews, and devising thorough test plans. The ideal candidate will collaborate closely with the MLOps team, tasked with deploying machine learning models on specialized systems like Nvidia Jetson. Key Responsibilities; * Lead the design, development, and implementation of software solutions, ensuring … improvement. * Ensure software compatibility across Windows, Linux, and macOS platforms, addressing platform-specific nuances and optimizing user experience for each platform. * Collaborate with the MLOps team to deploy machine learning models on non- embedded systems, including Nvidia Jetson systems. Manage model deployment, monitoring, and optimization in production environments. Qualifications & Experience … Knowledge of macOS is a plus. * Knowledge of mobile app development frameworks and platforms (e.g., iOS SDK, Android SDK) is a plus. * Experience in MLOps, including deploying machine learning models on non-embedded systems such as Nvidia Jetson systems. If interested, and you match the criteria above, please apply with more »

Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and establish best practices in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services more »

environments. Hands-on experience with cloud-based AI and ML solutions (e.g. Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. more »

overall security posture of AI/ML and other business systems. Develop and maintain relationships between data scientists, data engineers, developers, operations (DevOps, DataOps, MLOps) and business unit leaders to govern and support scalability of the ML and AI initiatives. Key Skills Required: Solid understanding as a Security Architect, with more »

Transform the World of Content Creation as an AI Engineer on a 12-month FTC We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform. Based in the vibrant heart more »