105 open jobs on The Stack list Machine learning as a key skill. They come from 48 companies in 15 countries, and 105 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Machine learning in its key skills. We do not guess skills from the job title.
What you'll do: Develop and evaluate a software prototype that combines historical TEM system data with service knowledge to suggest likely causes and diagnostic checks. Assess data sources, compare approaches (structured search, rules, and an LLM-based…
What they ask for: Enrollment in an HBO/WO Software Engineering program for a graduation project; programming experience in C# or Python; solid understanding of software design, testing, and version control; ability to work independently and communicate in…
What you'll do: Design, build, and deploy machine learning models to detect fraud and assess risk in financial services. Transform ambiguous business problems into measurable ML solutions and partner with Product, Engineering, and Operations to…
What they ask for: Minimum 5+ years of experience in Data Science, ML, Software Engineering, or related fields. Strong Python skills and experience with large-scale datasets, plus a track record of developing and deploying ML models in production. Ability to…
What you'll do: Apply data science, machine learning and AI techniques to transform complex datasets into actionable insights and predictive models; develop, evaluate and operationalise analytical models and AI-driven solutions; collaborate with…
What they ask for: Experience applying data science, AI or advanced analytics to real-world problems, strong analytical and communication skills, and ability to work in multidisciplinary teams. Candidates must be able to obtain and maintain (or already hold)…
What you'll do: Translate scientific strategies from research teams into robust, scalable software components and optimize compute-intensive code for cloud infrastructure. You will also co-lead the architecture of the scientific computing stack and…
What they ask for: Requires an MSc or PhD in computer science, applied mathematics, or a related quantitative field with a background in computational chemistry or molecular simulation. Candidates must have 5+ years of software engineering experience, strong…
What you'll do: Design and optimize machine learning models for 3D point cloud data, including filtering, registration, and surface reconstruction. Manage end-to-end 3D data pipelines and integrate these solutions into production workflows.
What they ask for: Requires an MS or PhD in a relevant field and 5-7+ years of hands-on experience in machine learning and 3D data processing. Candidates must possess strong Python skills and a solid theoretical foundation in geometry and deep learning…
What you'll do: You will develop and lead AI, machine learning, and advanced analytics solutions while collaborating with cross-functional teams to deliver customer value. Additionally, you will mentor junior team members and work closely with functional…
What they ask for: Candidates must have strong Python scripting skills, experience with version control systems like Github, and the ability to develop maintainable code. A valid UK Security Clearance is mandatory for this position.
What you'll do: You will lead the functional definition and technical implementation of a new end-to-end Anti Financial Crime platform. You will also collaborate with cross-functional teams to ensure all product launches are resilient against financial…
What they ask for: The role requires solid product management experience, ideally within fintech, regulatory environments, or data engineering. You must possess strong analytical skills and the ability to translate complex regulatory requirements into…
What you'll do: Own the UK SanTalk product vision, roadmap, delivery, rollout, and ongoing improvement for customer-facing AI across contact centres, chat, and digitally assisted channels. Lead multidisciplinary teams and collaborate with UK and Group…
What they ask for: Requires 6–8 years of experience in data science, applied AI, or advanced analytics, including leading complex AI solutions from concept to production, and an undergraduate degree in a relevant field or equivalent experience. Candidates…
What you'll do: Own focused machine learning projects end to end, from framing customer problems and selecting build-versus-buy approaches to shipping features in production. Evaluate and monitor performance, investigate failures, gather user feedback…
What they ask for: Requires at least two years of hands-on experience building and shipping machine-learning products, with strong experience in PyTorch or an equivalent framework such as TensorFlow or JAX. Candidates should be able to fine-tune vision or…
What you'll do: Build and ship practical machine learning and data science solutions in an early-stage startup environment. Utilize agentic AI coding tools to maintain a high pace of execution while working with ambiguous data.
What they ask for: Requires five or more years of relevant technical experience with a strong quantitative foundation. Candidates must have experience in a zero-to-one startup environment and proficiency with AI coding tools.
What you'll do: The Senior AI Engineer will own the technical delivery of internal machine learning automation projects, from design through deployment. They will integrate agentic AI tools with various business and development platforms while maintaining…
What they ask for: Candidates must have 7+ years of professional Python software development experience and 2+ years of practical experience with GCP. Proficiency in LLM application development, including prompt engineering and RAG, is required along with…
What you'll do: You will work with subject matter experts to clean, analyze, and model datasets to provide practical solutions for clients. Additionally, you will contribute to prototypes and communicate findings through charts and presentations.
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with strong communication skills.
What you'll do: You will build and ship end-to-end AI services, including data pipelines, model development, and asynchronous REST APIs. Additionally, you will maintain training pipelines, implement retrieval systems, and mentor junior engineers to ensure…
What they ask for: Candidates must hold a bachelor's degree in a relevant field and possess at least 3 years of backend development experience with machine learning applications. Strong proficiency in Python, FastAPI, and containerized environments like…
What you'll do: You will lead an engineering team by setting technical direction, hiring top talent, and overseeing end-to-end delivery. You will also contribute code directly while collaborating with product teams to scale systems and solve complex…
What they ask for: The ideal candidate has 8+ years of software engineering experience with a strong background in distributed systems and scaling enterprise-level products. You must have proven experience in leadership roles within high-growth startup…
What you'll do: You will architect high-load B2B systems and optimize cross-border logistics using machine learning and AI agents. You will drive business impact by developing innovative, scalable solutions that improve user experience and operational…
What they ask for: You must have a proven track record of building complex, reliable systems with deep full-stack expertise. You should be proficient in leveraging modern AI tools to accelerate development and possess a data-driven approach to…
What you'll do: You will work with subject matter experts to clean, explore, and analyze datasets while building statistical or machine learning models. Additionally, you will contribute to prototypes and communicate findings through charts and…
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with a strong grounding in statistics and…
What you'll do: You will collaborate with subject matter experts to define analytical approaches and deliver data science and AI solutions for diverse client projects. This involves preparing and analyzing data, developing models, and presenting findings…
What they ask for: Candidates should have hands-on experience in Python, SQL, and statistical modeling, along with a strong understanding of machine learning and large language models. A relevant degree or equivalent practical experience in a quantitative…
What you'll do: Integrate machine learning models into production applications and develop AI agents for embedded Linux devices. Design and maintain backend services, APIs, and inference pipelines while ensuring performance and reliability.
What they ask for: Strong proficiency in Python and experience with backend services and REST APIs are required. Practical knowledge of Linux, ML inference lifecycles, and embedded systems development is essential.
What you'll do: You will design and develop techniques to compress Large Language Models using quantum-inspired technologies and build LLM-based applications like RAG and AI agents. Additionally, you will conduct performance evaluations, fine-tune models…
What they ask for: Candidates must hold a degree in a relevant field and possess at least 5 years of hands-on experience in training or fine-tuning deep learning models. Proficiency in Python, transformer libraries, and a strong understanding of GPU…
What you'll do: You will take full responsibility for the end-to-end lifecycle of data science services, from conceptualization to production. Additionally, you will work on projects such as pricing prediction and elasticity models while mentoring…
What they ask for: You possess a long track record of implementing large-scale ML services and have extensive knowledge of classic machine learning algorithms. You are also experienced with modern infrastructure tools like Kafka, Kubernetes, and GCP, and are…
What you'll do: You will manage the end-to-end lifecycle of data science services, from conceptualization to production, while ensuring high performance and reliability. You will also collaborate with cross-functional teams to develop innovative ML and…
What they ask for: You must have extensive experience with the data science toolbox, including Python, SQL, and cloud infrastructure like GCP, Kubernetes, and Kafka. Additionally, you should possess specific expertise in either ML classifiers, NLP, AdTech…
What you'll do: Prepare, clean, combine, and explore datasets; develop and compare statistical or machine learning models; and contribute to prototypes, including language-model applications where appropriate. Evaluate results and limitations, document…
What they ask for: Applicants should have hands-on data science experience through work, research, an internship, or substantial projects, along with Python experience and a grounding in statistics and common machine learning methods. A relevant degree or…
What you'll do: Work with clients and subject matter experts to define analytical problems, prepare and analyse data, and develop and evaluate statistical, machine learning, forecasting, or language-model solutions. Present findings and limitations…
What they ask for: Candidates need hands-on Python and SQL experience, a sound grounding in statistics and machine learning, and practical familiarity with using large language models responsibly. They should be able to take ambiguous questions through to…
What you'll do: Develop and deploy machine learning and data science solutions to address operational challenges in retail supply chains. Build complex forecasting and optimization models while utilizing agentic AI coding tools in a fast-paced startup…
What they ask for: Requires 5 to 10+ years of technical experience with a strong quantitative background and a rigorous degree. Candidates must be comfortable working in a zero-to-one startup environment and possess production-focused technical skills.
What you'll do: Develop and maintain design systems and product interfaces that connect operations users with AI agents and data sources. Create human-in-the-loop workflows for reviewing and acting on agent outputs, and use stakeholder research to improve…
What they ask for: Requires one to seven years of frontend engineering experience, strong TypeScript and React skills, and proficiency with Tailwind CSS. Candidates should have experience with design systems, workflow-driven interfaces, AI or…
What you'll do: You will define the product vision and strategy for search, ranking, and personalisation to improve buyer discovery and conversion. You will lead cross-functional teams to execute experiments and scale machine learning-driven solutions…
What they ask for: The role requires at least five years of product management experience, preferably in consumer ecommerce or marketplaces. Candidates must have a strong background in search, ranking, or machine learning products and the ability to…
What you'll do: You will lead and develop teams of data engineers to design and deliver scalable data solutions for complex business challenges. You will also provide technical direction for data pipelines and infrastructure while collaborating with…
What they ask for: The role requires at least 4 years of data engineering experience and proven leadership capabilities in complex environments. Candidates must possess strong Python skills, experience with Apache Spark, and proficiency in cloud-based data…
What you'll do: Lead the team in iterating on L2 driving performance by diagnosing on-road issues and resolving them through data and model architecture changes. You will balance hands-on technical development with team leadership to scale the driving…
What they ask for: You must be highly technical with hands-on experience in Python and delivering production-grade machine learning models, preferably in robotics or autonomous vehicles. The role requires a strong focus on production-level iteration and the…
What you'll do: Lead the development and deployment of machine learning models to improve product performance and risk management. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
What they ask for: Requires a proven track record of deploying models from scratch and solid knowledge of Python and data processing technologies. Candidates should have experience with large datasets and the ability to collaborate effectively with…
What you'll do: You will build and maintain the infrastructure required to transition AI models from experimental phases to dependable production systems. This includes managing model access, tracing, evaluation, fine-tuning, and high-throughput serving.
What they ask for: Candidates must have a Bachelor's degree or higher in Computer Science or AI and strong backend engineering fundamentals with Python. Proven experience in scaling self-service AI platforms and deploying ML systems with high reliability and…
What you'll do: You will design and develop creative analytics frameworks and bidding signal optimization models to improve marketing ROI. You will collaborate with cross-functional teams to define success metrics and implement data-driven solutions for…
What they ask for: The role requires proficiency in Python, SQL, and distributed frameworks like Spark, along with experience in marketing or attribution data. Candidates should possess strong skills in advanced modeling, causal inference, and experiment…
What you'll do: Lead the development and deployment of machine learning models to improve product performance and risk management. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
What they ask for: Requires a proven track record of deploying models from scratch and solid knowledge of Python. Candidates should have experience with large datasets and the ability to collaborate effectively with engineering and risk teams.
What you'll do: You will collaborate with subject matter experts to clean and analyze datasets, build statistical or machine learning models, and develop prototypes. Additionally, you will communicate findings through charts and presentations to support…
What they ask for: Candidates should have hands-on experience in data science through projects or employment, including proficiency in Python and a grounding in statistics and machine learning. A relevant degree in a quantitative or social science field is…
What you'll do: You will collaborate with subject matter experts to define analytical problems and deliver data science and AI solutions for diverse client projects. This involves preparing and analyzing data, developing models, and presenting findings to…
What they ask for: Candidates must have hands-on experience in Python, SQL, and statistical modeling, along with a strong understanding of machine learning and large language models. A relevant degree or equivalent practical experience in a quantitative…
What you'll do: The Senior Data Scientist will act as the UK Product Owner for SanTalk, setting the product vision, strategy, and roadmap for AI solutions across contact centers and digital channels. They will lead multidisciplinary teams to deliver, roll…
What they ask for: Candidates must have 6-8 years of experience in data science or applied AI, with a proven track record of leading complex AI solutions from concept to production. An undergraduate degree in a relevant field such as Computer Science, Data…
What you'll do: Lead the design and delivery of data and analytics applications, platforms, and services to support the Bank's strategic objectives. Partner with stakeholders to define IT strategy, implement data architecture, and apply advanced AI/ML…
What they ask for: Requires a bachelor's degree and over six years of relevant experience in data and analytics engineering. Candidates must possess strong technical skills in data modeling, database querying, software development, and stakeholder management.
What you'll do: Develop and productionize large-scale machine learning models to optimize sponsored search, ad allocation, and user engagement. Collaborate cross-functionally with product and engineering teams to conduct A/B experiments and improve ad…
What they ask for: Requires expertise in machine learning techniques such as NLP, information retrieval, or deep learning with a track record of deploying production systems. Candidates must be able to write maintainable code and lead projects from design…
What you'll do: Develop practical data science and AI solutions using quantitative and engineering skills. Take ownership of technical workflows in a fast-paced, early-stage startup environment.
What they ask for: Requires five or more years of technical experience with a strong mathematical or engineering background. Candidates must be comfortable working in a high-intensity, ambiguous startup setting.
What you'll do: You will define the long-term vision and execution strategy for the core Machine Learning platform to support critical banking operations. This involves leading multi-squad initiatives to scale MLOps infrastructure and ensuring models meet…
What they ask for: The role requires 7+ years of product management experience with at least 4 years focused on building and scaling ML platforms or data infrastructure. Candidates must possess deep technical literacy in MLOps, predictive methodologies, and…
What you'll do: Define and execute the multi-year roadmap for the central Machine Learning platform to support high-volume banking operations. Lead cross-functional teams to scale MLOps infrastructure while ensuring compliance with financial governance…
What they ask for: Requires 7+ years of product management experience with at least 4 years focused on building and scaling machine learning platforms. Candidates must possess deep technical literacy in MLOps, predictive modeling, and experience working in…
What you'll do: Analyze and evaluate machine learning model performance to identify inefficiencies and provide actionable recommendations for the Data Science team. Design and execute A/B tests while building dashboards to communicate model performance…
What they ask for: Requires a degree in a quantitative field and 5+ years of experience in data analytics, product analytics, or data science. Candidates must be proficient in SQL, Python or R, and possess a strong understanding of statistical…
What you'll do: You will architect, operate, and optimize large-scale GPU clusters to support the training of foundation models for humanoid robots. Additionally, you will collaborate with AI engineers to maximize hardware utilization and improve training…
What they ask for: Candidates must have a degree in Computer Science, Electrical Engineering, or Software Engineering along with significant industry experience. Proficiency in Python, PyTorch, and distributed training concepts, as well as hands-on…
What you'll do: You will build and maintain backend infrastructure for permissions, auditability, and observability while managing deployment architectures. Additionally, you will partner with product teams to deliver high-quality features using AI-native…
What they ask for: The role requires one to six years of professional backend experience with TypeScript, NestJS, PostgreSQL, and Prisma. Candidates must also have experience with infrastructure-as-code tools and a practical understanding of AI or machine…
What you'll do: You will develop and maintain design systems and UX patterns while building interfaces that connect users with AI agents. Additionally, you will create workflows for reviewing agent outputs and conduct user research to refine product…
What they ask for: The role requires one to seven years of professional frontend engineering experience with proficiency in TypeScript, React, and Tailwind CSS. Candidates must have a track record of building workflow-driven interfaces and experience with AI…
What you'll do: You will own the machine-learning models in production that detect AI-enabled threats and analyze their performance for customers. You will also design low-latency models and collaborate with security engineers to translate new attack…
What they ask for: Candidates must have 5+ years of experience in applied machine learning or data science with models shipped to production. Proficiency in Python, PyTorch, and hands-on experience with NLP and LLM techniques is required.
What you'll do: You will own the machine-learning models in production that detect AI-enabled threats and analyze their performance for customers. You will also design low-latency models and build evaluations to turn new attack patterns into training data.
What they ask for: Candidates must have 5+ years of experience in applied machine learning or data science with models shipped to production. Strong proficiency in Python, PyTorch, and hands-on experience with NLP and LLM techniques is required.
What you'll do: You will build end-to-end data and model pipelines, including sourcing, training, and validating datasets for production. Additionally, you will optimize model performance through compression, distributed training, and reinforcement…
What they ask for: Candidates must hold a Bachelor's degree in a technical field and possess up to 2 years of hands-on experience. Strong programming skills in Python, familiarity with modern ML stacks, and experience with containerized workflows are…
What you'll do: The Data Scientist will own end-to-end machine learning projects from exploration to deployment, focusing on financial crime prevention and credit risk. They will collaborate with cross-functional teams to deliver customer value while…
What they ask for: Candidates must hold a Bachelor’s or Master’s degree in a quantitative field and possess 2–4 years of practical experience in developing production-ready machine learning solutions. Proficiency in Python, SQL, and various modelling…
What you'll do: You will own end-to-end data science projects from exploration to deployment while contributing to financial crime prevention and credit risk solutions. Additionally, you will collaborate with cross-functional teams and support junior…
What they ask for: Candidates must hold a bachelor's or master's degree in a quantitative field and possess 2-4 years of practical experience in machine learning. Proficiency in Python, SQL, and various modeling techniques is required, along with the ability…
What you'll do: Lead a cross-functional team of engineers, designers, and data scientists to define and execute the product roadmap. Own the product lifecycle from ideation and development through to launch, growth, and maintenance.
What they ask for: Requires at least 2 years of experience working on technical products and a STEM degree or equivalent engineering background. Candidates must possess strong analytical skills and excellent written communication abilities.
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