126 to 150 of 169 Permanent A/B Testing Jobs

Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A / B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A / B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A / B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A / B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A / B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A / B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A / B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A / B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A / B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A / B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A / B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

agents on GCP Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling. Implement evaluation frameworks, monitoring, A / B testing and performance dashboards for latency, cost and accuracy. Partner with product and operations teams to deploy AI capabilities … vector databases. A track record of building production-grade AI systems, including observability, evaluation and automated testing. DevOps capability across CI / CD, Docker and Kubernetes or equivalent tooling. THE BENEFITS: You will receive a salary, dependent on experience. Salary ...

Product Manager / Product Owner Location: (Hybrid 3 days per week in office) At Citation Group, our product vision is simple but ambitious: Build better businesses by helping SMEs grow, by enabling their people and protecting their assets. Our goal is not just to support them, but to become … based subscriptions, automated renewals, and upsell capabilities. Optimisation: Implement data-informed features including a recommendation engine, ad-placement capability, A / B testing, and data tracking to monitor and influence conversion rates. Collaborate cross-functionally with Commercial, Service, Marketing and Data ...

Digital Analyst My Client is a purpose-driven FinTech business focused on delivering inclusive, innovative financial solutions that make a real difference to customers lives. With strong digital products, excellent customer feedback, and an ambitious growth agenda, they offer a collaborative, supportive environment where … AppsFlyer Implement and maintain tracking via GTM Build automated dashboards (e.g. Power BI) and present clear insights Support CRO and A / B testing initiatives Collaborate cross-functionally to embed data-led decision making Monitor competitors and digital banking trends About You Strong ...

data science projects : problem framing, EDA, modelling, experimentation, and working with MLEs to deploy into production Apply statistics, A / B testing and causal inference to inform product, growth, commercial and risk decisions Work with diverse structured and unstructured data across client behaviour … operations and financial domains Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP / text analytics, time-series forecasting, & generative AI use cases Monitor model performance and design experiments tied to clear hypotheses Translate ambiguous business questions into measurable, actionable ...

Lead Data Analyst Salary: £70K - £90K Location: Manchester (Hybrid) We're working with a high-growth business that is scaling its data function to the next level. They are investing heavily in their product and data capabilities, as part of this investment, they are hiring a … experimentation and impact evaluation. Skills & Experience Strong experience in search optimisation, ranking systems, recommendation engines, or personalisation Proven expertise in A / B testing Commercial awareness Strong SQL experience Experience partnering with data scientists and engineering teams This is an opportunity to have ...

management, ad copy creation, and campaign optimization. Continuously manage and refine negative keyword lists to improve campaign efficiency. Performance Optimization Run A / B tests using Google Ads experiments to optimize ad performance. Regularly conduct audits of client accounts, reviewing key metrics such … Strong organizational skills and a high attention to detail. Compensation Job Type: Full-time Employee Annual Base Salary: $85,000 - $100,000 / year Benefits: Medical, Vision and Dental Plan 401(k) Plan + 4% Employer Match Unlimited PTO Flexible Working Hours Hybrid & Collaborative Environment Company-Wide ...

intersection of debit, credit and rewards, the business combines innovative product thinking with disciplined risk management. With strong backing, ambitious growth plans and a customer base in the millions, they are entering their next phase of product expansion. This hire sits at the centre of that growth journey. … recommendations - Identify headroom in customer spend and optimise revenue, retention and risk trade offs - Design and implement robust experimentation frameworks including A / B testing and post launch impact measurement - Define and maintain company level metrics in partnership with Data Platform teams, contributing ...

Founding Product Lead 💸 £100,000-£115,000 + Bonus 📍 London / Hybrid We're partnered with an incubated, well-funded start up within the field of audio technology as they build out their Founding Team. They're blending music, AI and technology to enhance mental and physical wellbeing. … execute Strong discovery and experimentation capability Technical fluency and confidence partnering with senior engineers Data-first thinking - comfortable running and interpreting A / B tests Comfortable wearing multiple hats in a lean team Why this role stands out: True founding-level ownership ...

while turning trading priorities into clean execution. About The Role: The Website Operations Manager will run Google Tag Manager tagging and QA Manage WordPress / Elementor updates: content, imagery, navigation and structure Implement SEO actions with an external agency and track impact Support A / B … improvements from hypothesis to reporting Monitor Core Web Vitals, speed and site health; escalate fixes to developers About You: 4+ years in website operations / digital ops with SEO exposure DTC Subscription background would be a huge bonus Confident with Google Tag Manager (create, test, troubleshoot, publish ...

production environments, including cloud‐based model serving on GCP. Ensure high availability, strong performance, and continuous model relevance. Experimentation: Lead A / B testing and offline experimentation to evaluate model performance and guide ongoing improvement. Cross‐Functional Collaboration: Work closely with engineering, product … expertise in TensorFlow (and experience with PyTorch). Experience with GCP machine learning and data services (e.g., Vertex AI, Dataflow, BigQuery, AI Platform, Pub / Sub). Hands‐on experience with ML training frameworks such as TFX or Kubeflow Pipelines, and model‐serving technologies like TensorFlow Serving, Triton ...

production environments, including cloud‐based model serving on GCP. Ensure high availability, strong performance, and continuous model relevance. Experimentation: Lead A / B testing and offline experimentation to evaluate model performance and guide ongoing improvement. Cross‐Functional Collaboration: Work closely with engineering, product … expertise in TensorFlow (and experience with PyTorch). Experience with GCP machine learning and data services (e.g., Vertex AI, Dataflow, BigQuery, AI Platform, Pub / Sub). Hands‐on experience with ML training frameworks such as TFX or Kubeflow Pipelines, and model‐serving technologies like TensorFlow Serving , Triton ...

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI / LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely with … PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A / B testing methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality ...

cross-functional orchestration. RESPONSIBILITIES Own outbound pipeline creation: hit monthly meeting and Sales accepted opportunities targets and quarterly pipeline goals for priority ICPs / segments. Prospect into target accounts : research, build lists, and multi-thread into HR, IT, and Operations leaders across enterprise / upper mid-market. … outbound campaigns end-to-end: write sequences, call, email, LinkedIn / video, and A / B test messaging, report results and iterate. Qualify rigorously : use MEDDICC to confirm pain, impact, authority, and next steps, convert first meetings to SAOs. Book and hold meetings : secure ...

Digital Analyst London, Hybrid Salary up to £60,000 This is a great opportunity to join a growing digital analytics function where you will shape reporting foundations, improve data accuracy, and deliver meaningful insight across web and app. You will have clear ownership, modern tooling … into measurable, insight‐led outputs • Experience with app analytics, attribution or AppsFlyer is a strong advantage • Knowledge of CRO, A / B test analysis or tagging is beneficial HOW TO APPLY: Apply by sending your CV to Joe by the link below ...