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Machine Learning

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🔥 Senior Machine Learning Engineer

Posted about 12 hours ago

📍 United Kingdom, Latvia, Spain, Germany, Denmark, Poland, Portugal, Ireland

🔍 Software Development

🏢 Company: Lokalise👥 101-250💰 $50,000,000 Series B over 3 years agoInformation Services Developer APIs SaaS Information Technology Collaboration Translation Service Software Cloud Infrastructure

🔧 Requirements

4+ years of experience building and operating backend systems in production
Strong proficiency with Python, FastAPI, and Pydantic
Solid understanding of microservice architecture, scalable distributed systems, and observability, with familiarity using tools like OpenTelemetry, Grafana, or Datadog to monitor both general system health and LLM-specific metrics like latency, token usage, and model performance
Hands-on experience with prompt engineering in production
Familiarity with CI/CD, containerisation, and cloud deployment
Strong sense of ownership

💡 Responsibilities

Build and own LLM-powered back end services using FastAPI, Pydantic, etc. — ensuring they are scalable, observable, and easy to extend
Design infrastructure that enables rapid experimentation with LLMs, including A/B testing, feature flagging, and usage analytics
Integrate and maintain LLM observability tooling (e.g., LiteLLM, Langfuse) to monitor quality, cost, and performance of model calls
Collaborate with Data and ML Scientists to productionize workflows, share feedback, and continuously improve experimentation speed
Ensure systems are reliable and deployable with strong CI/CD practices, including instrumentation and alerting
Contribute to team culture through pairing, mentoring, and sharing learnings to help others grow
Stay connected to the product by understanding our users' needs, localization workflows, and broader industry trends

AWS Backend Development Docker Python SQL Cloud Computing Machine Learning API testing FastAPI Grafana REST API CI/CD Microservices

Posted about 12 hours ago

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🔥 Assistant Vice President, Developer

Posted about 12 hours ago

📍 United States of America

🧭 Full-Time

💸 190000.0 - 192000.0 USD per year

🔍 Software Development

🏢 Company: External_Career_Site_Barclays

🔧 Requirements

Experience with Java, Spring Boot, Vert.X, Kubernetes/Docker, React, and Python.

💡 Responsibilities

Design and develop exotics analytics price and strategic trade booking platform for Structured Notes, and contribute to the overall system design, architecture and development on risk platform, booking tools for exotic products and price streaming platforms.
Enhance systems to facilitate Regulatory requirements (FRTB IM/SSA, CCAR, Libor cessation).
Manage stakeholders by working directly with front office trading, operations and other business users to collect requirements and provide regular status updates and support.
Reduce technical debt by introducing and adopting best practices in software development and collaborating with the team to ensure consistent adoption of best practices and migrating off legacy technical stacks.
Compute cost optimizations by working on cost reduction initiatives to reduce grid compute costs by moving to efficient valuation models and distributing across HPC/AWS clusters.
Lead the migration of stochastic valuation models, moving away from Black Scholes to better capture volatility risk exposure.
Develop strategic UI interfaces using HTML5/React for trade booking/risk management platform.
Integrate with OpenFin platform, defining data taxonomies for Macro/Rates business and seamlessly interact with other applications (RFQ activity, internal margins, Credit exposures, Axes etc.) in the space.
Enhance the server-side stack, moving to microservices stack using Vert.X, SpringBoot. service discovery via Zookeeper, asynchronous messaging on Confluent Kafka and deployments using Kubernetes/Docker containers.
Work with Front Office traders to provide risk/trade/static/market data via APIs to support their development on Python Notebooks.

AWS Backend Development Docker Python Software Development SQL Apache Tomcat Bash Data Analysis Express.js Frontend Development HTML CSS Java Javascript JUNIT Kubernetes Machine Learning Oracle Oracle RDBMS React.js Software Architecture Spring Spring Boot Spring MVC UI Design Algorithms API testing Data Structures React CI/CD Agile methodologies RESTful APIs Microservices JSON Risk Management Debugging

Posted about 12 hours ago

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🔥 Staff, Machine Learning Engineer

Posted about 13 hours ago

📍 Canada

🧭 Full-Time

💸 172800.0 - 216000.0 CAD per year

🔍 Software Development

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity almost 4 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

5+ years of applied ML engineering experience
Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions

💡 Responsibilities

Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & Gen AI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sage maker, Lambda, S3, Kendra), MySQL, Air table, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zen desk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions.

AWS Python SQL Keras Machine Learning MySQL Numpy Airflow Data science Pandas

Posted about 13 hours ago

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🔥 Lead Pre-Sales Solution Architect – Data, Analytics, AI & Automation (Microsoft Focus)

Posted about 13 hours ago

📍 United States

💸 175000.0 - 200000.0 USD per year

🔍 Manufacturing

🔧 Requirements

10+ years of experience in data, analytics, and solution architecture roles.
Proven success in a pre-sales or client-facing architecture role.
Deep understanding of Microsoft Azure data services, including: Azure Synapse, Data Factory, Data Lake, Databricks/Spark, Fabric, etc.
Experience aligning modern data architectures to business strategies in the manufacturing or industrial sector.
Experience scoping, pricing, and estimating delivery efforts in early-stage client engagements.
Clear and confident communicator who can build trust with technical and business stakeholders alike.

💡 Responsibilities

Lead strategic discovery sessions with executives and business stakeholders to understand business goals, challenges, and technical landscapes.
Define solution architectures and delivery roadmaps that align with client objectives and Microsoft best practices.
Scope, estimate, and present proposals for complex Data, AI, and Azure-based projects.
Architect end-to-end data and analytics solutions using Microsoft Azure (Data Lake, Synapse, ADF, Power BI, Microsoft Fabric, Azure AI Services, etc.).
Oversee solution quality from ideation through handoff to delivery teams.
Support and guide sales consultants in an effort to align solutions, progress deals and effectively close business.
Collaborate with Delivery to ensure project success and customer satisfaction.
Contribute to thought leadership, IP development, and reusable solution frameworks.

SQL Cloud Computing ETL Machine Learning Microsoft Azure Microsoft Power BI Azure Data engineering RESTful APIs Data modeling Data analytics Data management

Posted about 13 hours ago

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🔥 Product Manager

Posted about 14 hours ago

📍 United States, Africa, Latin America, Asia

🧭 Full-Time

🔍 AI

🏢 Company: Pareto.AI👥 101-250💰 $4,500,000 Seed about 3 years agoSoftware

🔧 Requirements

3+ years shipping data infrastructure or ML-adjacent SaaS products with measurable adoption.
Proven record of rapid, iterative releases—multiple significant deployments per quarter.
Competence with SQL and basic Python; can self-serve analysis without data-engineering support.
Familiarity with data-collection pipelines, LLM training stages and workflows, and privacy frameworks (GDPR, CCPA).
Comfortable translating technical detail into clear product choices.
Exceptional written communication; produce single-page briefs that unblock design and engineering the same day.

💡 Responsibilities

Own the end-to-end life cycle for assigned platform modules—requirements, prioritization, release, and iteration.
Define and monitor metrics for data latency, cost per datapoint, and quality compliance; drive course-corrections in real time.
Conduct regular customer and stakeholder interviews; translate insights into backlog refinements and roadmap updates.
Facilitate sprint rituals and decision reviews, ensuring blockers are identified and resolved within service-level targets.
Present concise status and recommendations to leadership, backing arguments with data.

Python SQL Data Analysis Machine Learning Product Management Data engineering RESTful APIs

Posted about 14 hours ago

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🔥 Senior Consultant, Discovery & Translational Science Consulting

Posted about 14 hours ago

📍 United States of America

🧭 Full-Time

💸 145000.0 - 175000.0 USD per year

🔍 Healthcare

🏢 Company: clarivate_careers

🔧 Requirements

PhD (or MS with equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science (latter two as applied to solving problems in areas of biology or medicine) or a related field.
A minimum of seven years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
2 years experience minimum with clinical trial data standardization according to CDISC (SDTM, ADaM)
2 years experience minimum with data management, processing, and integration of experimental assay data from various sources (e.g., flow cytometry, cytokine profiling).
Proficiency in data visualizations (ggplot2) and report generation (R Markdown)
Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics and biological data analysis.

💡 Responsibilities

Conduct data analysis and synthesis to support project objectives using established methods and advanced analytical tools to generate actionable insights.
Assist in designing and executing research methodologies to address business challenges and provide recommendations.
Collaborate with consulting teams in problem-solving and the development of innovative solutions tailored to customer needs and strategic goals.
Contribute to the development of client presentations and reports by organizing data, visualizing findings, and ensuring accuracy, relevance and clarity in all communications.
Engage in customer interactions and meetings, with oversight, to understand customer needs, gather feedback, and ensure alignment with project objectives.
Support proposal development by contributing to specific elements of the proposal.
Collaborate with senior consultants on project execution, coordinating tasks, managing timelines, and ensuring the successful delivery of high-quality consulting services.

Git Machine Learning Data visualization Data management

Posted about 14 hours ago

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🔥 Senior Consultant, Discovery & Translational Science Consulting

Posted about 15 hours ago

📍 United States

🧭 Full-Time

💸 145000.0 - 175000.0 USD per year

🔍 Pharmaceutical

🏢 Company: jobs

🔧 Requirements

PhD (or MS with equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science (latter two as applied to solving problems in areas of biology or medicine) or a related field.
A minimum of seven years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
2 years experience minimum with clinical trial data standardization according to CDISC (SDTM, ADaM)
2 years experience minimum with data management, processing, and integration of experimental assay data from various sources (e.g., flow cytometry, cytokine profiling).
Proficiency in data visualizations (ggplot2) and report generation (R Markdown)
Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics and biological data analysis.

💡 Responsibilities

Conduct data analysis and synthesis to support project objectives using established methods and advanced analytical tools to generate actionable insights.
Assist in designing and executing research methodologies to address business challenges and provide recommendations.
Collaborate with consulting teams in problem-solving and the development of innovative solutions tailored to customer needs and strategic goals.
Contribute to the development of client presentations and reports by organizing data, visualizing findings, and ensuring accuracy, relevance and clarity in all communications.
Engage in customer interactions and meetings, with oversight, to understand customer needs, gather feedback, and ensure alignment with project objectives.
Support proposal development by contributing to specific elements of the proposal.
Collaborate with senior consultants on project execution, coordinating tasks, managing timelines, and ensuring the successful delivery of high-quality consulting services.

Python SQL Data Analysis Git Machine Learning Data visualization Data management

Posted about 15 hours ago

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🔥 Senior Writer, AI

Posted about 15 hours ago

📍 United States

💸 120000.0 - 150000.0 USD per year

🔍 Journalism

🔧 Requirements

Bachelor’s degree with 5+ years of journalism experience
Strong writer who communicates effectively and clearly with a strong point of view that stands out
Well sourced in the AI community with a proven track record for turning tips into stories
Versed in the technical side of AI, as well as the finance of startup fundraising, and able to hold their own with researchers and investors alike
Team player and happy collaborator who is willing to crash out a quick hit, dive into an investigation and go in-depth for a print profile, as need requires
Overflowing with story ideas drawn from sourcing, sharp observation and on-the-ground reporting
Comfortable working remotely

💡 Responsibilities

Pitch, report and write must-read stories about artificial intelligence companies and entrepreneurs
Regularly break news, including exclusives, funding scoops and investigations
Conceive and report features for the website and magazine, including pitching profiles and cover stories
Participate in the reporting of AI 50 and contribute to other Forbes lists
Represent Forbes at live events and conferences
Participate in Forbes videos related to reporting

Artificial Intelligence Data Analysis Machine Learning Data science Research Writing Finance

Posted about 15 hours ago

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🔥 Staff Product Manager, Benefits Platform

Posted about 15 hours ago

📍 United States

🧭 Full-Time

💸 215900.0 - 254000.0 USD per year

🔍 Healthcare

🔧 Requirements

You have 6+ years building platforms that leverage ML for automated decision-making, preferably in healthcare, insurance, or adjacent risk domains.
You understand the complexities of health insurance - from claims processing to benefits determination - and have built systems that improve billing accuracy or clean claims rates.
You're comfortable diving deep with engineering and data science teams on complex technical problems and can drive architectural decisions for scalable platforms.
You've led initiatives requiring difficult tradeoffs between accuracy, speed, and user experience, and can influence stakeholders across multiple teams.
You excel at analyzing complex datasets to identify root causes and drive systematic improvements to platform performance.

💡 Responsibilities

Own the benefits determination platform strategy and roadmap to achieve company goals for billing accuracy and collections loss reduction.
Build ML-powered systems that interpret complex insurance data and handle thousands of payer-specific edge cases.
Drive technical decisions on platform architecture, model deployment, and system scalability with engineering leadership.
Collaborate with Engineering and Data Science on developing models that improve benefits interpretation accuracy and confidence scoring.
Partner with Insurance Operations and Customer Care to understand manual intervention patterns and automate high-volume workflows.

SQL Data Analysis Machine Learning Product Management Cross-functional Team Leadership Data science RESTful APIs Data modeling

Posted about 15 hours ago

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🔥 Director of Data & Insights Product

Posted about 16 hours ago

📍 United States

🧭 Full-Time

💸 138000.0 - 150000.0 USD per year

🔍 Education

🏢 Company: Gradient Learning

🔧 Requirements

5+ years of experience working in the K-12 space
3+ years of experience in data product development
3+ years of experience translating complex data into educator-friendly visualizations using Tableau
3+ years of people management experience
3+ years of experience with Snowflake or comparable cloud-based data warehousing platforms (strongly preferred)
Experience using AI or machine learning to enhance data analysis or deliver scalable, educator-facing insights (strongly preferred)
Familiarity with LTI standards, LMS platforms, and education data interoperability; direct experience with Canvas LMS (strongly preferred)
Knowledge of data privacy, security, and protection standards, particularly as they relate to PII and educational data (FERPA, COPPA, etc.) (preferred)

💡 Responsibilities

Design, Refine, and Lead the Data & Insights Product Strategy
Oversee Data & Insights Product Development and Delivery
Strengthen Data Infrastructure in Partnership with Information Systems
Lead the Data & Insights Product Delivery Team

SQL Data Analysis ETL Machine Learning People Management Product Management Snowflake User Experience Design Cross-functional Team Leadership Tableau Product Development Data engineering Communication Skills Agile methodologies RESTful APIs Data visualization Stakeholder management Strategic thinking Data modeling Data analytics Data management

Posted about 16 hours ago

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