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 »
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 »
Greater London, England, United Kingdom Hybrid / WFH Options
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models (fraud detection, risk assessment) with a focus on NER. Leverage CI/CD & containers for seamless integration & scalability. Automate ML Workflows: Build robust MLOps pipelines to automate data ingestion, pre-processing, model training & serving for efficient NLP workflows. Champion NLP Expertise: Collaborate with data science teams, translate model requirements … of NLP models. We're Looking For: Proven experience building and deploying NLP models, strong grasp of statistics, ML techniques, and proficiency in Python. MLOps & Cloud Infrastructure: A strong understanding of CI/CD pipelines, containerisation technologies (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP). Degree in Computer Science 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 »
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 for millions of individuals. 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 »
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 »
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 »
product focus. It will be your job to implement novel ML systems, product integrations, and performance optimizations. You will guide the direction of a MLOPS automation framework via collaboration with the engineering and research communities. You will collaborate with software engineering teams to integrate successful experimental results into complex Amazon … call. A day in the life Almost everyday offers new challenges and opportunities for growth. Where one day will offer implementation of Self-Service MLOps tooling, the next day may be focused on our operational excellence in maintaining our code base. Later in the week, you may sort technical challenges … the following locations: Cambridge, GBR London, GBR BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 3+ years experience and knowledge in MLOps, in deploying, operationalizing, and maintaining scalable AI/ML-solutions in production - 1+ years of non-internship design or architecture (design patterns, reliability and scaling more »
become an integral part of a growing company at the forefront of of cutting edge technology. Key Responsibilities: You'll be developing out their MLOps system all greenfield projects. Lead the development and deployment of end-to-end Ops pipelines supporting the entire ML lifecycle. Drive initiatives for CI/… work effectively to multiple internal teams including the data science and engineering teams. Grow team to 5 within 12 months Experience Required: Experience building MLOps systems from scratch Open to industry Package: Up to £105,000 Hybrid working – office based in London Industry leading benefits How to Apply: If you more »
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and you'll need to be on-site in London a couple of times a week. To be successful you'll need a strong MLOps skillset and sit more on the ML infrastructure and deployment side than the ML theory/science. You need to be able to hold your … AWS) Docker/Kubernetes Excellent communication skills and commercial acumen Extensive experience delivering end-to-end ML/AI solutions including production and deployment MLOps Active security clearance (SC/DV) Please only apply if you hold security clearance and you're based in or close to London. Reach out more »
Come and change the world of AI with the Kumo team! Companies spend millions of dollars to store terabytes of data in data lakehouses, but only leverage a fraction of it for predictive tasks. This is because traditional machine learning more »
to become an integral part ofa growing company at the forefront of of cutting edge technology. Key Responsibilities: You'll be developing out their MLOps system all greenfieldprojects. Lead the development and deployment of end-to-endOps pipelines supporting the entire ML lifecycle. Be the main point of contact, presenting … technical workeffectively to multiple internal teams including the data science andengineering teams. Grow team to 5 within 12 months Experience Required: Experience building MLOps systems from scratch Open to industry Package: Up to £105,000 Hybrid working office based inLondon Industry leading benefits How to Apply: If you re more »
of AI infrastructure and ML team collaboration. Academic leadership in Transformative ML-powered applications workflows. Experience deploying ML models to production environments Experience with MLOps infrastructure for robust deployment and performance Experience in high performance integrated systems management for view of metrics, benchmark performance and real-time alerts management .A … is not available for this position. KEY REQUIREMENTS- Professional in ML Operationalization, including workflow/model management, machine learning development environment (MLDE) management Node, MLOps flow. 20+ years of experience in professional software developments Strong programming skills Great skills in Data Engineering and big data technologies Highly Skilled with object more »
post-sales engineers, solutions architects, and technical support managers across EMEA. Define and implement customer engagement processes, including onboarding, platform configuration, user training on MLOps and LLMOps workflows, and AI best practices consulting. Develop scalable and repeatable playbooks for prospect and customer engagement. Drive technical success during pre-sales, supporting … with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray, any of the GenAI frameworks Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with data pipeline tools Experience as an ML educator and/or building and executing customer training more »
e.g., Git) PREFERRED QUALIFICATIONS: Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau, Power BI). COMPENSATION & BENEFITS: Competitive salary up to £100,000 + bonus. Comprehensive benefits package including more »
Introduction Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely more »
end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructure Driving best practices in a fast paced environment, within a well established company Your Skills and Experience: MSc or PhD level education in STEM more »
differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Title and Summary Lead MLOps Engineer Lead MLOps Engineer Overview We are looking for a lead MLOps engineer to join an award winning team with a proven track record of … lifecycle, with a focus on the role of ML. Role • The team is experienced in building applications around ML models, this is the first MLOps specific role, to specialise as we scale. • The focus will be on implement a full ML workflow from scratch, following Mastercard guidelines and using approved … understand how to build and operate deployment pipelines. • You can debug products end to end through logs and error messages. • You have implemented an MLOps workflow. • You have experience with monitoring models and creating actions from feature creep and model entropy. • Experience of working within Agile frameworks including Scrum and 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 »
