301 to 325 of 671 Remote Machine Learning Jobs

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

re Looking For Data & Analytics Understanding: While you won’t be hands-on building solutions, you should have a strong understanding of how data platforms, analytics, and AI/ML capabilities drive business value. Familiarity with Microsoft’s Intelligent Data Platform stack (Azure Data Services, Fabric/Synapse) and Databricks is highly desirable. Business Analysis Expertise: Demonstrable experience in business More ❯

infrastructure. Excellent communication and collaboration skills in English. Massive bonus if you have: Good understanding of Event Sourcing and exposure to event-driven development. Experience in applying AI/ML to solve customer problems. About Us Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Founded in 2009, we are headquartered in London More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world; a More ❯

causal inference techniques to solve business problems. Work with cross-functional stakeholders in determining requirements for building a world-class experimentation platform. Key Requirements A postgraduate degree in statistics, machine learning, or similar … OR demonstrable experience with the data science lifecycle - i.e. from problem definition to model deployment and beyond (monitoring and improvement). In-depth knowledge of statistical hypothesis testing and ML modeling techniques. Experience in using Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn). Significant experience in using SQL. Ability to communicate effectively with audiences of More ❯

user experience. This is a unique opportunity to join a team working across a wide range of technology stacks to enable effective software development for the next wave of ML centric compute on Arm. Responsibilities: Collaborate within a diverse team to design, deliver and refine the tools and workflows required to accelerate development on the next generation of Arm powered … ML capable, hardware. Engage with our agile development processes to help deliver high quality results at pace. Support and connect with internal and external customers to ensure alignment and delivery of multi-faceted end to end solutions. Strengthen Arm's software ecosystem by upstreaming contributions and identifying opportunities to open source internal projects. Required Skills and Experience: Demonstrable proficiency in … of visualising datasets or creating rich, performant and accessible user interfaces. Experience curating external customer facing developer workflows. Experience developing for and on Arm architectures. Experience profiling or debugging ML workloads. Experience designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT or HuggingFace Transformers. Experience collaborating closely with product or design teams. In More ❯

Zachary Piper Solutions is looking for an AI/ML Engineering Manager to lead a team of AI software engineers who are focused on building core AI/ML products and infrastructure for national security and defense customers. The team you will lead will be delivering backend systems, distributed platforms, and ML tooling used by our public sector partners. In … public sector compliance requirements and frameworks • Design and implement scalable backend systems for Federal customers, leveraging modern and cloud-native AI infrastructure • Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI More ❯

technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and … Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud More ❯

technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and … Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud More ❯

public holidays), with buy/sell options. Flexible Benefits: Life assurance, gym memberships, health plans. Work-Life Balance: 37.5-hour week + up to 2 TOIL days per month. Learning & Development: TechX Academy, unlimited e-learning, career mobility. If you want to work on real-world systems, close to the mission, and in a role where your code … transportation. What Makes Us Different: Purpose:you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration:having flexibility to More ❯

and spot opportunities to inform continual improvements Build strong relationships with stakeholders and be the business facing member of a highly technical team. Gather business requirements Develop AI/ML modelling using Python in DataBricks for forecasting, outlier analysis and Next Best Action Design and develop MI tools and reporting systems capable of capturing required data, outputting relevant MI and … SQL or Python, writing code which is clean and easily interpreted Outstanding visualisation skills (we use Tableau) Demonstrable ability to extract and transform data for use in modelling and machine learning Experience in customer focused insight is our ideal, with any exposure to call centre environments being a big plus. Any DataBricks experience is highly advantageous What’s More ❯

to working prototypes You're comfortable working with experimental technologies, incomplete documentation, and beta tools You can write production-quality code in Python and work with modern AI/ML frameworks You have experience with multiple AI technologies including LLMs, traditional ML, and emerging architectures You're inherently curious about cutting-edge developments and can make informed predictions about technology … small team environments where your individual contributions have immediate, visible impact Bonus Points Experience with talent acquisition, workforce analytics, or marketplace technologies Background in distributed systems and massive-scale machine learning Track record of identifying and successfully implementing emerging technologies before widespread adoption Experience in client-facing or consulting role What's In It For You Invisible is More ❯

Any prospective candidate will need a strong understanding of a range of different data science techniques and be comfortable working at a research level solving problems and often rapidly learning on the job. They should also have a firm grasp of an OO language (Ideally Python) in which they are able to implement and test these data science related … stack and different connection protocols. (DNS, SSL, TCP, UDP) Core knowledge of data science techniques for analysing data. And comfortable working with statistical measures Desirable Qualifications Any experience with Machine learning techniques. Experience with Jira work flows. Good understanding of how web technologies operate on a theoretical level (servers, websites. Proxies, VPNs, IP stack) Some good extra data More ❯

a Kubernetes/OpenShift Operator and associated software for orchestrating deployment of Llama Stack. In this role, you'll contribute directly to Red Hat's rapidly growing AI/ML family of products and will be responsible for the design, development, and refinement of software adding features that enables Llama Stack to achieve Enterprise readiness.The ideal candidate will have a … will be considered a plus: Experience with Security (FIPS, FedRAMP, CVE Management), Observability, Performance or Scale Understanding of DevOps methodology, scrum, and/or Jira. Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow. Bachelor's degree in computer science or related discipline. Remote means living elsewhere More ❯

experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). … Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football More ❯

Blazor (web) REST APIs, microservices, Docker CI/CD pipelines, DevOps, Terraform Organised, detail-oriented, and comfortable with deadlines Excellent communication and problem-solving skills Bonus Skills Interest in Machine Learning/AI Familiarity with OsiSoft PI , ArcGIS , or cloud platforms Experience with real-time systems or data-driven optimisation Why Join? Work on globally used software with More ❯

ID/Azure AD/Group Policy. And become Familiar with Imperva WAF/DDoS, Menlo, Cisco security, KnowBe4, Digicert, patching tools, web application scanners, and Kali Linux, AI, Machine Learning You could gain: Security certifications (CISM, MS Security, OSCP preferred). Financial services/SOC/pentesting background desirable. Strong communication and problem-solving skills. Location & Hours More ❯

experience of SQL along with experience working with large databases and data warehouses. You'll be proficient in Python, R, or other relevant programming languages and have Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition you'll be an expert in statistical modelling, predictive More ❯

outbound sales execution and CRM-driven pipeline management (HubSpot, Salesforce, etc.). Strong track record of engaging enterprise clients and closing high-value deals. Interest or experience in AI, machine learning, or data science applied to product innovation or consumer behavior. International mindset with experience working across cultures and time zones. Executive presence and excellent written and verbal More ❯

video editing tools. Strong problem-solving and written communication skills. Ability to simplify complex information for diverse audiences. Understanding of data protection and digital safeguarding. Awareness of AI and machine learning concepts. Knowledge of design software, particularly Adobe software Key Deliverables Reliable digital products and solutions that meet business and user needs. Increased engagement across digital platforms. Responsive More ❯

and statistical methods to the challenges of business growth and product development. In this role, you will You will be expert with SQL, Python or R. Any other major machine learning programming language is a nice to have. You will design complex experiments and apply common methods such as linear and non-linear aggression, multivariate analysis. You will More ❯

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

candidates are reviewed on the basis of their skill and potential to succeed. Experience in cybersecurity or physical security, with a keen interest in applying cutting-edge AI and machine learning to solve critical, real-world problems. A strategic thinker who can define a compelling product vision and roadmap, translating complex ideas into actionable plans and measurable business More ❯

applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview More ❯

applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview More ❯