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🤖 Data Scientist
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🏢 Company: Commonwealth Bank
📍 Location: Bangalore Urban, Karnataka, India
🖥 Work Type: 🏢 On-site
Posted: 2026-06-05

📋 About the Role:
Roles & Responsibilities:Develop and deploy AI/ML models for Financial Crime use cases including AML, fraud, scam detection, and risk intelligenceWork with large-scale structured and unstructured datasets using Python, SQL, and PySpark to build scalable data and ML pipelinesBuild and optimise cloud-native AI solutions and workflows on AWSApply statistical analysis, feature engineering, experimentation, and model evaluation techniques to improve model performanceCollaborate with engineers, product owners, and domain experts to solve complex business problems and deliver impactful AI solutionsSupport model deployment, monitoring, and continuous improvement of production ML systemsContribute to best practices across responsible AI, model governance, and ML Ops.Essential Skills:5+ years of experience in Data Science, Machine Learning, or Applied AIStrong hands-on experience with Python, PySpark, SQL, and AWSExperience working with large-scale datasets and distributed data processing frameworksExperience building, evaluating and deploying machine learning models in production environmentsStrong analytical, problem-solving, and stakeholder communication skillsExposure to Financial …

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🤖 Machine Learning Engineer
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🏢 Company: HTC Global Services
📍 Location: Dearborn, MI
🖥 Work Type: 🏢 On-site
Posted: 2026-06-16

📋 About the Role:
Job DescriptionJob TitleMachine Learning EngineerOverview / SummaryWe are seeking an experienced Machine Learning Engineer to design, implement, and maintain scalable machine learning and analytics pipeline solutions. The ideal candidate will have expertise in machine learning engineering, cloud platforms, DevSecOps practices, and data engineering technologies. This role involves building and optimizing ML infrastructure, deploying production-grade machine learning solutions, and collaborating with cross-functional teams to improve processes and business outcomes.Key ResponsibilitiesCollaborate with business and technology stakeholders to understand current and future machine learning requirements.Design and develop machine learning models and software algorithms to solve complex business problems in structured and unstructured environments.Design, build, maintain, and optimize scalable machine learning pipelines, architectures, and infrastructure.Apply machine learning techniques in areas such as computer vision, perception, localization, virtual reality, augmented reality, object detection, tracking, classification, and terrain mapping.Deploy machine learning models and …

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🤖 ML Engineer
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🏢 Company: CreatorIQ
📍 Location: New York, NY
🖥 Work Type: 🏢 On-site
Posted: 2026-04-27

📋 About the Role:
CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies.We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500 for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles.We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together!Machine Learning Engineer, Applied AIAs a MLE you'll join …

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🤖 AI ML Operations Engineer
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🏢 Company: Oxy
📍 Location: Houston, TX
🖥 Work Type: 🏢 On-site
Posted: 2026-05-14

📋 About the Role:
Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit OxyOxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.We are looking for an experienced and innovative individual contributor to fill the position ofAI Machine Learning Operations Engineerwithin ourAI Center of Excellencegroup based inHouston, TX.The incumbent will research, build, and design artificial intelligence systems to automate predictive models, and design machine learning systems, models and schemes.Essential Job ResponsibilitiesDesigns production-grade ML systems end-to-end (data → training → deployment → monitoring) with …

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🤖 ML Engineer
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🏢 Company: CreatorIQ
📍 Location: Austin, TX
🖥 Work Type: 🏢 On-site
Posted: 2026-06-17

📋 About the Role:
CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies.We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500 for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles.We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together!Machine Learning Engineer, Applied AIAs a MLE you'll join …

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🤖 AI Engineer
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🏢 Company: Smart Bricks
📍 Location: San Francisco, CA
🖥 Work Type: 🏢 On-site
Posted: 2026-05-25

📋 About the Role:
About Smart BricksSmart Bricks is a frontier AI lab building autonomous reasoning systems that allow capital to discover, evaluate, and transact assets end-to-end. We are a team working on genuinely hard problems at the intersection of AI infrastructure and one of the world's largest industries. Everything we build is live in production, consequential, and compounding in capability with every data point the system generates.About The RoleAs an AI Engineer at Smart Bricks, you will work across our full model and agent stack in production. This is not a demo environment - everything we build is live, consequential, and improving with every data point the system generates. You will work on agentic orchestration, production model deployment, real-time data infrastructure, and the feedback loops that make the system smarter over time. You will own what you build end-to-end, from research and experimentation through to deployment and live monitoring.What You Will Work OnBuilding, deploying, and maintaining production AI models across valuation, forecasting, scoring, and classification tasks - validated against real-world outcomesDeveloping and optimising LangChain-based agentic …

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🤖 Machine Learning Engineer
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🏢 Company: Reyes Coca-Cola Bottling
📍 Location: Niles, IL
🖥 Work Type: 🏢 On-site
Posted: 2026-06-20

📋 About the Role:
Position ResponsibilitiesDesign, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning modelsDeploy and manage ML models in production environments using containerization and orchestration technologiesImplement monitoring, logging, and alerting solutions to track model performance, system health, and data driftCollaborate with data scientists to understand model requirements and optimize the process of transforming models from development to a production-ready stateCreate and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and deploymentsDefine ML/Artificial Intelligence (AI) governance to ensure data security and ethical standards are met for all modeling processesTravel up to 5% of the timeOther duties as assignedRequired Education And ExperienceBachelor’s degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experiencePreferred Education And ExperienceMaster’s Degree in computer …

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🤖 Machine Learning Engineer
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🏢 Company: NYU Langone Health
📍 Location: New York, NY
🖥 Work Type: 🏢 On-site
Posted: 2026-06-19

📋 About the Role:
1161542_RR00119545 Job ID: 1161542_RR00119545NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.For more information, go tomed.nyu.edu, and interact with us onLinkedIn,Glassdoor,Indeed,Facebook,TwitterandInstagram.Position SummaryWe have an exciting opportunity to join our team as a Engineer II - Applied AI.As a ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects forward in …

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🤖 Software Engineer, ML Platform
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🏢 Company: Sola
📍 Location: New York, NY
🖥 Work Type: 🏢 On-site
Posted: 2026-03-25

📋 About the Role:
Join Us in Building the Future of Digital WorkAt Sola, we’re transforming the way work is done. We’re developing AI agents that make powerful automation effortless, enabling any user to record a workflow and instantly scale it up to millions of executions.Sola today powers enterprise workflows in Fortune 100 companies, with a horizontal platform that works across healthcare, finance, legal, logistics, and more. We’ve raised $21M in funding from a16z, Conviction (Sarah Guo), and Y Combinator, and are looking for passionate engineers to help us continue to scale.If you’re interested in being on the forefront of agentic automation, we’d love to hear from you!What To ExpectWe‘re solving one of the most interesting problems in AI today:building reliable, deterministic execution on top of non-deterministic AI models.As one of our first dedicated ML platform hires, you'll work directly with our CTO to bring state-of-the-art AI capabilities into production. This is an engineering role, not a research role. You'll own the systems that make our AI reliable, observable, and scalable, turning AI research into production features.This is an opportunity to join a small, tight-knit team at our …

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🤖 AI Engineer
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🏢 Company: DRW
📍 Location: Chicago, IL
🖥 Work Type: 🏢 On-site
Posted: 2026-06-15

📋 About the Role:
DRWis a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.DRWis a place of high expectations, integrity, innovation and a willingness to challenge consensus.As anAI Engineerat DRW, you will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will …

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🤖 Machine Learning Engineer (AI Foundations)
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🏢 Company: Capital One
📍 Location: New York, NY
🖥 Work Type: 🏢 On-site
Posted: 2026-06-06

📋 About the Role:
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.Capital One is accelerating the adoption of state of the art AI research to create simpler, safer banking experiences for over 100 million customers. The AI Foundations team spearheads this mission by developing advanced LLMs and autonomous agentic systems capable of complex reasoning and real world problem solving. Their comprehensive research framework prioritizes foundational model architecture, operational efficiency, and responsible AI practices to ensure all systems are trustworthy and scalable.What You’ll Do:The MLE role overlaps with …

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🤖 Machine Learning Engineer
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🏢 Company: Hang
📍 Location: Los Angeles, CA
🖥 Work Type: 🏢 On-site
Posted: 2025-10-22

📋 About the Role:
Hang is building the future of loyalty for brands.Hang is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers.Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others).Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs.Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger Global, Howard Schultz, Kevin Durant, Mr. Beast, and the founders of Warby Parker, Allbirds, and Bombas, among others.About The RoleWe are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, …

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🤖 AI/ML Engineer
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🏢 Company: Nexstar Media Group, Inc.
📍 Location: New York, NY
🖥 Work Type: 🏢 On-site
Posted: 2026-06-17

📋 About the Role:
Nexstar is looking for an ML / AI Engineer to join our growing data science team in New York City. In this role you will design, build, and deploy machine learning and agentic AI systems that power real-world products. You will work across the full ML lifecycle, including data preparation, model training, evaluation, deployment, monitoring, and iteration.You will have the opportunity to work on both classical ML applications and agentic systems, including multi-step reasoning pipelines and connected agent architectures. We value engineers who think rigorously about problem framing and can further business objectives with ML/AI solutions.Please note: Cover letter required when applying.Responsibilities include:End-to-end model development and deployment for production use casesBuilding, tuning, and evaluating agentic AI frameworks for connected, multi-step applicationsOwnership of the full model lifecycle, including training, evaluation, containerization, deployment and monitoringMaintaining cloud-based ML infrastructure on GCP or AWSWriting clean, well-tested Python code and contributing to shared libraries and internal toolingCollaborating with product, data engineering, and …

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🤖 AI/ML Engineer
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🏢 Company: Synergy ECP
📍 Location: Annapolis Junction, MD
🖥 Work Type: 🏢 On-site
Posted: 2026-05-07

📋 About the Role:
Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation’s security.In an ultra-competitive environment, Synergy ECP has thrived by adhering to our name, making sure excellence is displayed by our Employees, to our Customers and by Improving Performance (ECP). It’s what sets us apart, enabling us to be an autonomous yet agile business that delivers huge results—showing we’re ready to meet our customers’ evolving demands. Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services.OverviewWe are looking for AI/ML Engineers to build, deploy, and maintain machine learning models and data-driven systems at scale.What You’ll DoDevelop and train machine learning modelsDeploy models into production environmentsBuild data …

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🤖 Jr. Data Scientist
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🏢 Company: Why Hiring
📍 Location: United Kingdom
🖥 Work Type: 🏢 On-site
Posted: 2026-06-22

📋 About the Role:
At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.About the RoleThe Jr. Data Scientist will support data-driven decision-making across the organization in a full-time, remote role. Day-to-day responsibilities include collecting, cleaning, and organizing data from multiple sources, as well as performing exploratory data analysis to uncover patterns and insights. The role involves building and evaluating basic statistical and machine learning models under the guidance of senior team members. The Jr. Data Scientist will create clear reports, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders. Collaboration with product, marketing, and operations teams will be essential to define data requirements, measure performance, and support experiments that improve the platform and candidate experience.Key ResponsibilitiesAnalyse and interpret large datasets to support business decision-makingDevelop …

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🤖 Graduate Data Scientist
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🏢 Company: Intellect Group
📍 Location: London Area, United Kingdom
🖥 Work Type: 🏢 On-site
Posted: 2026-06-08

📋 About the Role:
Job Title: Graduate Data ScientistLocation: London, UK (Hybrid)Salary: £35,000 – £40,000About the OpportunityIntellect Group is partnering with a fast-growing organisation in the business services and technology space to hire a talented, analytically drivenGraduate Data Scientist.This is an excellent opportunity for a graduate with a Master’s degree in Mathematics, Data Science, Statistics, or a related field to play a key strategic role in shaping the company’s future direction through the power of data.Role OverviewThe successful candidate will analyse both internal and external datasets to uncover market trends, emerging industry patterns, and new commercial opportunities. Working closely with stakeholders and senior leadership, you will translate complex data into clear, actionable insights that influence business strategy, product innovation, and potential new verticals.Key ResponsibilitiesAnalyse complex datasets to identify trends, patterns, risks, and opportunities across relevant markets.Build models, forecasts, and dashboards to support strategic planning and commercial decision-making.Carry out market and competitor analysis to highlight potential growth areas and …

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🤖 AI / ML Engineer
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🏢 Company: Ventula Consulting
📍 Location: Greater London, England, United Kingdom
🖥 Work Type: 🏢 On-site
Posted: 2026-06-16

📋 About the Role:
AI / ML Engineer - AI Startup - London - £80k - £120kA newly established Voice AI startup with multi-million funding, is looking to hire an AI / ML Engineer to focus on their ML pipelines which process very high-volume events at scale.Our client is looking for an individual with significant experience as either an AI Engineer or Machine Learning Engineer with clear evidence of shipping LLM powered ML productsTo be suitable for this role you will require the below:Key RequirementsBachelor’s degree in Computer Science, Machine Learning, or a related fieldExcellent experience as a, ML, or AI Engineer, with evidence of shipping production systemsStrong Python skills and experience with FastAPIExperience working modern MLOps tools, ideally KubeflowStrong experience working closely with LLMs (including fine-tuning, RAG, prompt engineering)Strong problem-solving skills and ability to communicate technical trade-offs clearlyCollaborative mindset with experience working across technical and non-technical teamsThis position is a permanent role, based in London, with 3-4 days a week in the company's officeThe role offers a salary between £80,000 - £120,000

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🤖 AI/Data Scientist
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🏢 Company: MAGIC AI
📍 Location: London, England, United Kingdom
🖥 Work Type: 🏢 On-site
Posted: 2026-01-20

📋 About the Role:
About MAGIC AIMAGIC AI is an elegant in-home health coach that utilises computer vision, connected weights, and cameras to provide personalised training sessions led by world-renowned athletes. We have gained recognition and exposure, being stocked in Selfridges, featured on Good Morning Britain, and listed as one of Fast Company's World's Most Innovative Companies of 2024. With just a small team, our company achieved a substantial revenue rate during its first financial year.MAGIC AI is the pioneer in offering users the opportunity to perform exercises in front of an intelligent hologram mirror. Our cutting-edge proprietary computer vision software enables real-time form correction, rep counting, and live feedback, resulting in a fully customised workout experience. We have also collaborated with top athletes to create exclusive workout content, revolutionising the way users can be trained in sports, strength training, yoga, dance, and more. With us, individuals can benefit from personalised tracking and feedback, as if being privately coached and corrected by the world's best, without the hefty fees typically associated with personal training.We have secured venture capital …

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🤖 Machine Learning Engineer
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🏢 Company: Duku AI
📍 Location: London, England, United Kingdom
🖥 Work Type: 🏢 On-site
Posted: 2026-06-10

📋 About the Role:
Change Software ForeverMost ML roles optimise models in isolation. This one builds the intelligence layer that determines whether AI-generated software can actually be trusted in production.Why this matters nowAI is rewriting how software gets built. But shipping still breaks on testing. Engineering leaders are desperate to release faster without dropping quality, and they can't get there with manual QA or brittle test automation.Here's the bigger shift: as AI writes more of the code, the bottleneck moves from generating software to trusting it. Nobody owns that trust layer yet. Duku is building it, autonomous agents that simulate real users, catch critical failures before production, and self-heal as the product evolves.Backed by experienced operators and investors, we're building what we believe will become a core layer of the modern software stack. We're looking for an exceptional Machine Learning Engineer to help build it. Not someone to tune existing models. Someone to design new ones.You're not joining a QA team. You're joining a mission to make broken software a thing of the past.At Duku AI, we're building the next generation of autonomous testing agents — systems smart …

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🤖 Machine Learning Engineer
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🏢 Company: Persistent Systems
📍 Location: Glasgow, Scotland, United Kingdom
🖥 Work Type: 🏢 On-site
Posted: 2026-06-08

📋 About the Role:
About the CompanyWe are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were …

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🤖 Data Scientist
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🏢 Company: Kroo Bank
📍 Location: London, England, United Kingdom
🖥 Work Type: 🏢 On-site
Posted: 2026-06-19

📋 About the Role:
Kroo Bank is charting the future of banking through technology, data, and innovation. As a digital first bank, we use data science to help us make smarter decisions, improve customer outcomes, and build products that customers trust and love.The rapid pace of change within fintech creates exciting opportunities to apply advanced analytics, machine learning, and experimentation to real business challenges. As a Data Scientist, you will play a key role in helping Kroo use data more effectively across a wide range of business areas, partnering with teams across Product, Risk, Operations, Compliance, and Engineering.This role is responsible for building, evaluating, and deploying data science solutions that support strategic decision making and improve customer experiences. You will work on high impact initiatives across areas such as credit risk, fraud prevention, customer engagement, and operational efficiency, helping the business make informed decisions through robust analysis, experimentation, and modelling.How you'll contribute:Build and iterate on statistical and machine learning models to solve business problems across areas such as credit risk, fraud, customer engagement, and …

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