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 »
culture where employees can bring their authentic selves to work. Key responsibilities of the role are summarised below: We are seeking an experienced Hybrid MLOps, DevOps, Dev Engineer to lead multiple projects while providing high-level strategic guidance to our clients. This role requires exceptional client-facing skills and the … ability to handle multiple projects simultaneously. The successful candidate will be responsible for working closely with a DevOps team of 4 and 2 MLOps engineers, advising clients on their strategic goals, and assisting them in delivery. Responsibilities: Implementation of DevOps best practices Working knowledge of Istio, Argo CD, Argo Workflows more »
and results effectively to stakeholders.You will monitor and refine launched products to drive the roadmap.Qualifications:Experience in product management experience, with a focus on MLOps tooling.You have hands-on experience in Data Science or Software Engineering.Ability to work closely with engineers on technical architecture.Experience in UX HOW TO APPLYPlease register more »
list. Nice to have: Experience of architecting systems and designing APIs Knowledge of structured databases such as PostgreSQL Experience with machine learning applications and MLOps Understanding of working on embedded/resource-constrained devices Flexibility to travel and work with customers on-site when appropriate All engineers at Arondite are more »
environments. Proficiency or experience with Apache Spark. Familiarity or background in working with Azure. Experience orchestrating workflows, particularly within distributed system environments. Knowledge of MLOps principles and practices, especially in implementing them within production settings. Why Monolith? Our culture is passionate, engaging and collaborative. We are genuine, we bring our more »
Company Description We are champions of rail, inspired to build a greener, more sustainable future of travel. Our purpose is our momentum. It makes us feel good because we know we re doing good. As we lead the way to more »
close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model evaluation, and/or MLOps a strong plus Portfolio optimisation/market impact models/optimal execution/transaction cost analysis a strong plus Experience with production front office trading more »
Manchester, North West, United Kingdom Hybrid / WFH Options
N Brown Group
We're looking for a Lead Machine Learning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable more »
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community more »
and requirements for deploying their work into production. Develop and enhance mechanisms and processes to streamline the integration of causal AI models into the MLOps workflow, customizing it to suit causality. Design and implement tools, visualizations, and mechanisms that empower data scientists to deploy their work into production autonomously, reducing … dependencies on additional teams or assistance. Work directly on integrating key elements of MLOps workflow with causal AI capabilities, ensuring robustness, scalability, and efficiency. Act as a subject matter expert on processes and best practices, providing guidance and support to data scientists on deployment and monitoring. Collaborate with cross-functional … significant exposure to deploying machine learning models into production. Strong proficiency in Python for both machine learning engineering and data science tasks. Experience with MLOps practices, including model deployment, monitoring, version control, and CI/CD pipelines. Proven experience in data pipelining, system architecture, and design for scalable and reliable more »
job listing link should always be relied on for authoritative information. About the company Weights & Biases Office Description Weights & Biases is a developer-first MLOps platform. Track everything you need to make your models reproducible with Weights & Biases from hyperparameters and code to model weights and dataset versions. Weights & Biases 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 »
role: Architecting, building and maintaining ML processing pipelines/workflows in Python via technologies such as Spark, serverless functions, Airflow, MLflow, or other. Implement MLOps and related DevOps focused on creating ML workflows for deploying models for large scale inference and optimisations. Build Docker containers, in collaboration with Data Scientists … in large scale digital applications. Extensive experience with programming in Python, Jupyter notebooks, Spark, and Docker Professional experience of designing, building and managing bespoke MLOps in cloud environments, using tools such as SageMaker Processing, SageMaker Pipelines, Apache Airflow, and MLflow. Strong, fundamental technical expertise in cloud-native technologies, such as more »
NLP Machine Learning Engineer Tech Company Permanent £60,000 £80,000 + benefits London (hybrid 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking more »
Job Description SENIOR MLOPS ENGINEER HYBRID (LONDON) £80,000-£90,000 COMPANY: Our client is a leading digital healthcare company delivering a range of services directly to people's homes through innovative AI technology. With a rapidly growing teams, they are dedicated to improving healthcare access and outcomes more »
data architectures which deliver value and provide end-to-end data solutions. Create scalable data processing pipelines and platforms, and productionise machine learning models (MLOps). Mentoring, Educating & Growing: Advise, educate and help grow customers and colleagues alike on various data related topics. Guide, teach and provide space for OCers more »
BS1, Bristol, City of Bristol, United Kingdom Hybrid / WFH Options
ADLIB Recruitment
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 »
the capabilities of our Baseball models with enhanced granularity Writing production quality code to deploy and run models in a sportsbook platform Utilise our MLOps platform to train and productionise ML models Create automatic tests to ensure model accuracy Collaborate closely with product, developers, QAs and delivery leads to move … or machine learning models for sports Solid understanding of data science and statistical modelling principles Experience with Kubernetes and Kafka are desirable Knowledge of MLOps principles and related tools will be considered an asset Familiarity with version control concepts Understanding of object-oriented programming principles PhD, Masters or Bachelor s more »
and scalability Closely collaborate with data scientists, product and engineers to innovate and refine the next ML initiatives Focus on advancing best practices in MLOps, ensuring data quality and observability. Drive impactful changes across the company by taking part in the Data Chapter Who you are Strong experience in deploying … and SQL, with strong knowledge of Kafka, Airflow, ElasticSearch, and AWS Engaged in continuous learning, keeping updated with the latest advancements in ML and MLOps You thrive in a collaborative environment and like sharing insight and learning What we offer A meaningful job with an impact on the way people more »
re seeking talented individuals to drive our mission forward to deliver industry-leading machine learning deployment and continue to make our mark in the MLOps space. We have created a culture that we re proud of driven by our passionate, talented team and our open, collaborative ethos. We operate on … with MLOps. About the role Help realise the product vision: Production-ready machine learning models within moments, not months. Our products make enterprise-grade MLOps easy. Help design, build and extend Seldon's core product range of MLOps (Machine learning operations) tools and products. Help enterprises deploy their machine learning … models at scale across a wide range of use-cases and sectors. Extend the state of the art in the developing area of MLOps including: Managing the production lifecycle of ML models from initial deployment, to testing and updating of the next iteration. Essential skills A degree or higher level more »
Data Scientist - Marketing Effectiveness Paying up to £60k + 10% bonus Hybrid in Central London - 2 days a week. Global business One of La Fosse's best clients who are an industry leader within the entertainment/ticketing industry are more »
W Talent are currently working with a company within the Financial Services space who are growing rapidly and looking for a Senior Data Scientist. This is a great opportunity for somebody who has a few years experience within data science more »
The Impact You ll Make As a Senior MLOps Engineer, you will be building a platform that accelerates drug discovery with machine learning for a wide variety of use cases with respect to data modality, model architecture, and model size. By leveraging your experience in machine learning, software engineering, infrastructure more »
small high calibre team Work closely with cross-functional teams, including Engineering, Intelligence, and Product, to achieve project goals. Apply your technical ML/MLOps knowledge to enhance the current systems and architecture. Stay actively informed about the most recent developments and advancements in AI REQUIREMENTS: Hold a relevant degree … at the MSc or PhD level, 5 years of product management experience is required Hands on experience with MLOPs tooling is required UI/UX design experience Data Science/Software Engineering skillset Excellent communication skills NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory more »
Malvern, Worcestershire, West Midlands, United Kingdom
Randstad Tech IT
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 »
