1 to 25 of 666 Remote Machine Learning Jobs

sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test … improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with the Senior Machine Learning Stakeholders, such as the Head of Machine Learning, Head of Data Science, and Head of … Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and More ❯

sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test … improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with the Senior Machine Learning Stakeholders, such as the Head of Machine Learning, Head of Data Science, and Head of … Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and More ❯

customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our Machine Learning Scientists collaborate in cross-functional squads across … customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you'll be working on As a Senior Lead ML Scientist, you'll be the one of the most senior Individual Contributor (IC) Machine Learning Scientist. This will give you a real opportunity to lead us into an … will help us take our real time systems to the next level. As our most senior technical IC, you'll be providing key technical leadership and shipping highly impactful ML-based solutions. You'll be empowered to work across the collective identifying the most impactful areas and leading solution development. You'll work with our mission-oriented cross functional product More ❯

customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our Machine Learning Scientists collaborate in cross-functional squads across … customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you'll be working on As a Senior Lead ML Scientist, you'll be the one of the most senior Individual Contributor (IC) Machine Learning Scientist. This will give you a real opportunity to lead us into an … will help us take our real time systems to the next level. As our most senior technical IC, you'll be providing key technical leadership and shipping highly impactful ML-based solutions. You'll be empowered to work across the collective identifying the most impactful areas and leading solution development. You'll work with our mission-oriented cross functional product More ❯

by continuously training and deploying machine learning models. We aim to make model deployments as easy and error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under … team is core to Ravelin's success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. This close alignment ensures our models are built on a foundation of high-quality, reliable, and efficiently processed data. The Role We are looking for a Machine Learning … bridge between data science and engineering, responsible for productionising the cutting-edge models our data scientists develop. Your role is to build, scale, and maintain the robust, high-performance ML systems that form the core of our fraud detection platform. You will not only consume data but also play a critical role in defining how data is modeled, stored, and More ❯

Learning Engineer to join the Agentic and AI Engineering Tools team . In this role, you'll contribute directly to Red Hat's rapidly growing AI/ML family of products and will be responsible for the investigation, evaluation, integration, and development of open source AI/ML systems and functionality to improve the overall development and operations … of both Red Hat's downstream AI products and upstream open source AI projects. The ideal candidate will have a proven background in delivering enterprise level AI/ML solutions. As part of your responsibilities, you will regularly participate in design reviews, contribute to the productization of major features, and support bug fixes. This hybrid position reports directly to the … Waterford, Ireland office at least 3 days per week. What you will do: Prepare structured and unstructured data for analysis, including handling missing values and outliers. Design and train ML models using established frameworks and architectures. Assist with building and integrating model serving solutions to accommodate a variety of model architectures and accelerators. Partner with Data Scientists, ML Engineers, Software More ❯

Role Machine Learning Engineer Location - London (Hybrid) Salary - £80K - £100K Role Type Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are you a talented Machine Learning Engineer eager to make an immediate impact on exciting projects? Our … client is seeking an experienced professional for a hybrid position to be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software … such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms like AWS, GCP, or Azure for deploying ML solutions. Knowledge of version control systems (e.g., Git) and CI/CD practices for ML workflows. Experience 3+ years of hands-on experience as a Machine Learning Engineer More ❯

Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238 CarMax, the way your career should be! About this job At CarMax, a Senior Technology Manager, AI & ML is a key leader in providing reliable and scalable machine-learning capabilities across the organization. The Senior Technology Manager will be responsible for overseeing multiple portfolios of ML and … and cloud engineering that is necessary to turn those models into highly visible, mission-critical capabilities that drive CarMax’s iconic customer experience. Essential Responsibilities: Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships Influence partners and stakeholders in Data Science and other teams across the organization … developing in Python Experience with scripting languages such as shell scripts Experience in DevOps practices, testing frameworks, and CI/CD Experience with Model Development and Deployment (MLFlow, Azure ML) Experience with container orchestration (Kubernetes, Docker) Experience communicating and working across functions to drive organization-wide solutions Preferred Qualifications: Previous experience deploying large-scale applications on Azure Familiarity with MLOps More ❯

Salary: .000 € per year Requirements: Minimum 1 to 2 years of proven experience in ML-Ops, including end-to-end machine learning lifecycle management Familiarity with MLOps tools like MLFlow, Airflow, Kubeflow or custom implemented solutions. Experience designing and managing CI/CD pipelines for machine learning projects with experience in CI/CD tools (e.g. … Github actions, Bitbucket Pipelines) Proficiency in building ML-Pipelines for productive use IaC (Infrastructure as Code) coding experience for provisioning relevant resources locally and in the cloud. Basic ML-knowledge is a plus Strong programming skills in Python Strong verbal and written communication skills in English Responsibilities: As a (Senior) MLOps Engineer, you will play a crucial role in building … models, and ensuring their seamless integration into production systems (embedded and Cloud). Additionally, you will design and implement CI/CD pipelines for machine learning, automate ML operations, and utilize cloud-based solutions, such as AWS with Terraform, to enhance scalability and efficiency. This position requires a proactive individual with a strong foundation in MLOps practices, cloud More ❯

Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team’s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function. Key … processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and … results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master’s level in a STEM or DS/ML/AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards More ❯

Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team's MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function. Key … processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and … results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master's level in a STEM or DS/ML/AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards More ❯

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial … A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem … for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art More ❯

emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting … needs Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure … Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions More ❯

emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting … solutions. Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure … Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions More ❯

Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior Machine Learning Engineer, you’ll be … at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and … implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machine learning and crypto technologies. Requirements: Proven experience as a Machine Learning Engineer, with a strong understanding of algorithms and data modelling. Experience in Python, TensorFlow, or similar frameworks. A passion for cryptocurrency More ❯

role is remote first but travel will occasionally be required to the London office. In this role, you will be at the forefront of our data-driven initiatives, training machine learning and artificial intelligence models as well as leveraging advanced statistical techniques to uncover trends and patterns that inform our business strategy. Your insights will play a key … tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify patterns and trends in data, providing insights to inform business strategy and decision-making. Develop predictive models to support decisions across multiple … business areas, including marketing, sales, claims, retention, customer behavior, fraud detection, and customer servicing. Deploy machine learning models into production using AWS services, including SageMaker, S3, Feature Store, ensuring scalable, reliable, and monitored solutions that directly support key business processes. Collaborate with product management and engineering teams to integrate data-driven insights and deploy predictive models into existing More ❯

software, infrastructure, and MLOps systems that leverage machine learning. Working in cross-functional teams with engineers, data scientists, product managers, and designers. Developing scalable, reusable tools that accelerate ML delivery. Providing technical expertise to customers and mentoring junior engineers. Contributing to the scope, design, and technical delivery of complex projects. Embedding best practices for AI systems in production, balancing … and operational requirements. What we're looking for Active SC clearance(minimum 5 years UK residency required). Strong software engineering skills, with proficiency in Python. Experience across the ML lifecycle, including deploying models built in PyTorch, TensorFlow, or Scikit-learn. Hands-on cloud experience with AWS, Azure, or GCP. Knowledge of Docker and Kubernetes, with practical containerisation experience. Understanding … of probability, statistics, and ML techniques. Strong communication skills, able to engage with technical and non-technical stakeholders. Experience mentoring or leading junior engineers is an advantage. Travel & Location Open to applicants from anywhere in the UK. Travel to Poole or Hereford up to 2/3 days per week Majority of work can be done remotely. Why join Salary More ❯

Senior Machine Learning Engineer 00 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Senior Machine Learning Engineer - Defence & Security £90,000 - £110,000 Gloucester Area Hybrid (2-3 days on-site as required) To be eligible, candidates must hold sole British nationality and have active SC Clearance. Do you want to take cutting … edge machine learning out of the lab and into real-world systems that strengthen security? This is an opportunity to join a fast-scaling AI consultancy that is redefining how advanced AI is deployed across Defence. What You'll Do Lead the design and deployment of machine learning infrastructure and software for Defence programmes. Build scalable … requirements and translate them into practical solutions. Provide guidance and leadership to junior engineers, championing best practice and technical standards. What We're Looking For Strong experience across the ML lifecycle, including deploying models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS More ❯

Senior Machine Learning Engineer £90000-110000 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Senior Machine Learning Engineer - Defence & Security £90,000 - £110,000 | Gloucester Area | Hybrid (2-3 days on-site as required) To be eligible, candidates must hold sole British nationality and have active SC Clearance. Do you want to take … cutting-edge machine learning out of the lab and into real-world systems that strengthen security? This is an opportunity to join a fast-scaling AI consultancy that is redefining how advanced AI is deployed across Defence. What You'll Do Lead the design and deployment of machine learning infrastructure and software for Defence programmes. Build … requirements and translate them into practical solutions. Provide guidance and leadership to junior engineers, championing best practice and technical standards. What We're Looking For Strong experience across the ML lifecycle, including deploying models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS More ❯

Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at the core of our machine learning operations, designing and deploying scalable pipelines, owning our Azure ML … platform, and collaborating with data scientists and analysts to turn bold ideas into business value. You’ll own our Azure ML platform. Exciting right? Role: Machine Learning Engineer, ML Engineer, AI, AI Engineer, Artificial intelligence, ML Platform Engineer, AI Software Engineer Location: Hybrid – HQ is Paddington, Central London. We would love to see you a few times a … week. Salary: up to £68k base + Bonus & awesome benefits! In regard to you...it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL. If you More ❯

Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at the core of our machine learning operations, designing and deploying scalable pipelines, owning our Azure ML … platform, and collaborating with data scientists and analysts to turn bold ideas into business value. You’ll own our Azure ML platform. Exciting right? Role: Machine Learning Engineer, ML Engineer, AI, AI Engineer, Artificial intelligence, ML Platform Engineer, AI Software Engineer Location: Hybrid – HQ is Paddington, Central London. We would love to see you a few times a … week. Salary: up to £68k base + Bonus & awesome benefits! In regard to you…it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL. If More ❯

right vacancy comes along. The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams. We … review process; a career progression framework; and plenty of opportunities to learn new things. The Role In this role, you'll be designing, building and continuously improving the algorithmic, machine learning systems and decision-making processes that power forecasting at Deliveroo. Our goal is to provide accurate forecasting models across Deliveroo domains and markets at the appropriate level … solution. And you get satisfaction from working with non-technical stakeholders and seeing your algorithms shipped and driving measurable impact to the business. Requirements 3+ years' experience as a ML Engineer or Data Scientist Ability to produce accurate forecasts across multiple business domains accounting for change in trends due to seasonality and other factors with focus on robustness and reusability More ❯

build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design … functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer … neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify More ❯

surgery and play a significant role in developing next-generation core algorithms of the company. As our Research Scientist, you will help design, implement, and validate new computational and machine learning frameworks. You will work alongside our talented team of scientists and engineers to develop prototype and clinical software. In particular, you will: Shape our real-time surgical … guidance technology by developing state-of-the-art computational and machine learning methods for hyperspectral imaging data. Design and implement algorithms for hyperspectral image data processing, from low-level image reconstruction to deep learning-based tissue property estimation and semantic segmentation tasks to stereo vision reconstruction for multi-view surgical guidance. Contribute to the dissemination through patenting … of a commercial medical device, we are excited to now place our patented technology into the hands of surgeons. We are building our company at the intersection of surgery, machine learning and interventional image computing for optical systems to increase surgical precision and patient safety. We are backed by a highly experienced syndicate of European and American HealthTech More ❯

Machine Learnig Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon … of 1 day a week on site. Key Responsibilities Design and implement machine learning models for classification, regression, and forecasting tasks. Build and manage end-to-end ML pipelines using Amazon SageMaker . Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems. Optimise model performance and scalability. Monitor and maintain deployed models … ensuring reliability and accuracy. Stay up-to-date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. More ❯