451 to 475 of 2,571 Remote Machine Learning Jobs

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions … collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions … collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

culture. Ensure best practices in modelling, experimentation, and deployment.· Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets· Translate business problems into analytical frameworks and actionable solutions to improve decision making … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies)· Have experience of leading and landing successful Data Science projects ...

culture. Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...

culture. Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … coordinate multi-step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root-cause analysis, anomaly detection, and semantic log clustering. Self-healing Infrastructure Engineering: Experience designing closed-loop, self-healing systems that autonomously execute ...

Engineer, you’ll:Provide technical leadership. You’ll deliver quality leadership across the AML Platform Squad and broader AML organization, helping squads ship ML products faster, safer, and with greater confidence - from model development through to scaled inference. .Own the architecture and strategy. You will be hands-on in designing … designing systems, and implementing quality solutions - while ensuring long-term objectives stay aligned with reliable, efficient delivery.Drive proactive quality. By anticipating risks across the ML product lifecycle - experimentation, deployment, inference, and observability - , you’ll identify and address potential obstacles to prevent issues before they ever reach production.Coach and mentor. ...

Product Data Scientist to join our Insights team to support our Shipping Team. You’ll partner closely with product, operations, engineering, and machine learning to deliver insights, drive experimentation, and shape how every item moves from seller to buyer. This role sits at the intersection of technical depth … first consumer products Experience in shipping, logistics or marketplace unit economics Experience working with machine learning teams or embedding data science in ML-powered product features Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle ...

models into tools that are useful and used. You’ve worked on difficult problems that require strong foundations in data driven modelling and deep learning techniques, with hands-on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow … practical, impactful and meet the evolving needs of our customers. This Role In this role, you’ll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving. You’ll build the foundations for successful, impactful ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands‐on experience in customer behaviour analytics, marketing, commercial … Experience leading cross‐functional teams to understand business challenges and create valuables products/solutions, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience ...

environments Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems Enable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standards Implement and maintain infrastructure as code and automation to ensure repeatable … cloud infrastructure, platform engineering, or systems engineering roles. 4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services. Understanding of ML platform operations and governance concepts, including ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

availability network environment.Own network operational readiness – lead service introduction and change, ensuring new network technologies and platforms transition effectively into live operations.Use AI/ML to automate network operations – apply AI and machine learning to reduce manual activity, improve monitoring, accelerate diagnostics and automate repeatable operational processes.Take control … cloud, voice, mobile and CDN environments.Hands-on automation experience – practical experience using scripting, APIs, orchestration or automation tooling within network operations.Experience using AI/ML to automate operational activity – applying AI and machine learning to areas such as event correlation, diagnostics, monitoring, predictive insight and automated remediation.Strong technical ...

keen ability to assess, analyse, and meet client-specific needs. You willplay a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI)solutions for our clients, along with providing key advice around innovation and new techniquesto stakeholders.You will be designing solutions for complex challenges … will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...

driven software business operating within the RegTech and compliance space, helping large organisations manage risk across digital communications. Their products leverage NLP, machine learning, and LLMs to analyse large volumes of unstructured data across text, voice, video, and collaboration platforms. The Role Own NLP and AI projects from … Machine Learning, AI, Computer Science, Linguistics, or a related quantitative field Commercial experience building and deploying NLP or ML solutions into production Strong understanding of both traditional NLP methods and modern LLMs Experience taking products from research or prototype stage through to production Strong Python and software engineering ...

programmes; be equally comfortable setting multi-year direction and getting into the weeds of a sprint review.Drive production quality - build rigorous engineering practice for ML systems relied on for customer-facing deliverables; champion rig-agnostic, generalisable architectures with clean interfaces; hold the line on architectural quality in a fast-moving … success as a Staff Tech Lead Manager at Wayve, we're looking for the following skills and experience.Essential 8+ years in ML engineering, including hands-on computer vision with camera and/or lidar sensor data, and a track record of shipping production ML systems from research through to reliable ...

complex asynchronous training workflows. We're looking for a systems‐level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model … about building the infrastructure that makes it all possible. Our core platform is written in Rust for performance, correctness, and fearless concurrency. ML models and services are primarily in Python. If you're intrigued by the challenges of the software/hardware interface, OS‐level optimization, and building robust, multi ...