851 to 875 of 2,594 Remote Machine Learning Jobs

changing business needs of our clients.Enjoy working within diverse and hybrid-located teams.Professional working proficiency in the English language.Preferred: Experience with Generative AI or machine learning applications in a supply chain context, and familiarity with cloud platforms (e.g., AWS, Azure, GCP).Please note as our clients include those ...

changing business needs of our clients.Enjoy working within diverse and hybrid-located teams.Professional working proficiency in the English language.Preferred: Experience with Generative AI or machine learning applications in a supply chain context, and familiarity with cloud platforms (e.g., AWS, Azure, GCP).Please note as our clients include those ...

Azure, GCP, Snowflake, Databricks) to design and deliver enterprise data solutions including toolset selection, effort and cost estimation.Broad knowledge across Cloud architecture, DevOps, Networking, Machine Learning, and SecurityExperience and knowledge of delivering innovative enterprise data management frameworks e.g. Data Mesh, Data Vault.Demonstrate a good understanding of Data/ ...

Strong commercial experience with Python and SQL. Solid experience working on data science or AI projects. Experience with AWS, Azure or GCP Experience with ML and modern LLM/RAG systems. Strong communication skills and ability to collaborate with international teams Experience delivering data-driven solutions in a production environment ...

Software team at CoMind spans the full stack of a regulated medical device company — from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that ...

practical experience is equally valuable.“Nice to Have”Azure, Databricks, Apache Spark or comparable cloud and data platforms.Data pipelines, ETL and workflow-orchestration technologies.Machine-learning methods such as forecasting, prediction or classification.Experience with enterprise platforms such as Salesforce, SAP, ServiceNow or Celonis.Experience developing scalable, user-friendly applications using TypeScript ...

cloud providers Experience working in a technical pre-sales capacity Experience with database programming and data models Experience in data engineering or AI/ML projects Understanding of popular sales methodologies/frameworks such as MEDDPICC/Command of the Message A the company Certification A Cloud Provider Certification What ...

cloud-native architectures, and enterprise integration. Experience leading large technology transformation initiatives. Strong communication and executive presentation skills. Preferred qualifications Experience designing AI/ML platforms or generative AI solutions. Experience with agent frameworks such as Semantic Kernel, Microsoft Agent Framework, LangGraph, AutoGen, or equivalent technologies. Experience with Site Reliability ...

proportion of our sales. Our engineering practice includes 80+ teams, working on everything from Cloud platforms to mobile apps, from e-commerce functionality to machine learning. Take a quick look at our Engineering best practices, hear our engineers talk about their experience and opportunities to learn and grow ...

pharmaceutical industry (e.g. Pharma, CRO, Biotech) and clinical trials.* Proficiency in SAS, R, Python, or similar tools for data manipulation and analysis. AI/ML knowledge is a plus.* Good understanding of industry RWD vendor database.* Experience with RWD data curation, engineering, exploration, and quality control in large-scale datasets. ...

Experience working with trading, risk, pricing, scheduling or middle-office platforms.* Experience with **Actor Model, Event Sourcing and CQRS** architectures.* Experience building AI/ML-enabled applications and agentic systems in production.* Experience developing evaluation, monitoring and observability frameworks for AI applications.* Experience leading or mentoring a squad of engineers. ...

choices, production readiness and handover quality within the scope of each initiative. Skills & Experience: Essential Minimum 4+ years’ experience in software engineering, AI/ML workflow delivery or systems integration, with a demonstrable track record of full-stack delivery in production AI environments. Minimum 2+ years’ operating in a senior ...

Management (ETRM) systems.Experience working with trading, risk, pricing, scheduling or middle-office platforms.Experience with Actor Model, Event Sourcing and CQRS architectures.Experience building AI/ML-enabled applications and agentic systems in production.Experience developing evaluation, monitoring and observability frameworks for AI applications.Experience leading or mentoring a squad of engineers.Experience running business ...

recall against dangerous behaviours nobody has seen yet? These are difficult questions – conceptually and empirically. Day to day this looks like: designing and running ML experiments (including RL and other optimisation-heavy work), building the adversarial attacks that generate the evidence, writing arguments, and arguing them out with the rest … looking for, rather than a list of everything we expect to find in one applicant. Demonstrated ability to design, build and run ML experiments on frontier models, and to work autonomously on complex research projects involving substantial engineering. This includes black-box work (API-based evaluations and attacks) and ideally ...

Supporting practice development through offering development, recruitment, campaign development, internal think‐tanks, whitepapers, operational excellence and capability building across Data, AI and Agentic AI. Learning & Development - Continuously developing your own expertise in emerging data and AI technologies and consulting leadership through training, certifications and applied innovation, while fostering … culture of continuous learning across the practice. YOUR PROFILE We are looking for a T‐shaped leader: broad enough to run an enterprise programme end to end, and deep enough in data and AI to be a genuine peer to the engineers and architects you lead. What matters most ...

Zaizi is seeking a Machine Learning Engineer to research, evaluate and apply ML models within UK government projects. You’ll work with a small team to translate research into practical AI capabilities, keeping pace with advances and sharing knowledge. Strong Python experience and ML frameworks are required, along … with containerisation (Docker) and version control (Git). Hybrid working in the UK is supported, with a culture of learning and collaboration. #J-18808-Ljbffr ...

looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow … Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience operating in complex hybrid environments, spanning public cloud, private cloud and on‐premise platforms. Experience building automation and engineering tooling using Python, Go, or similar ...

RedTech Recruitment is seeking a Machine Learning Research Engineer specializing …/LLM for a Cambridge-based role. You will explore and prototype advanced AI concepts, evaluating new approaches to NLP and related ML problems. The role demands a Ph.D. with strong NLP/ML background, publications, and hands-on experience with PyTorch, TensorFlow, and large datasets. 3 days in office ...

management, and embedded/inference optimisation. Establish scalable practices: Planning cadences, governance, KPIs and dashboards, escalations and operational reviews. Align cross-functionally: Work with ML/research, infrastructure, embedded/on-vehicle, and engineering teams (and cloud/vendor partners); manage dependencies, risk, and trade-offs. Connect to outcomes … experience. Essential 8+ years in platform/infrastructure: Deep, hands-on experience delivering platform or infrastructure programs as a technical program manager - compute, ML infra, developer tooling, training or inference systems - including people and process leadership. You've built or scaled a program function and you get things done with ...

firm to have a dedicated AI department. Since then, we have been experimenting with a broader range of ML techniques, extending those tools already in use, and productionising new ones through our growing data science & engineering teams. We believe that we are well positioned to leverage Fletchers’ unique legal-medical … building backends and data environments completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers 35 hours working week Bonus scheme (subject to targets being met) 35 days holiday ...

large language models (LLMs) - such as training, fine‐tuning, evaluation, or safety research. A demonstrated track record of peer‐reviewed publications in top‐tier ML conferences or journals. Ability and experience writing clean, documented research code for machine learning experiments, including experience with ML frameworks like PyTorch … adjacent sciences. Growth & autonomy If you’re talented and driven, you’ll own important problems early. 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. Freedom to pursue research bets without product pressure. Opportunities to publish and collaborate externally. Life & family ...

years of experience as a Computer Programmer, Software Engineer or other closely related work experience doing software maintenance, data science, and/or machine learning. Alternate Qualifications: Masters in Data Science or Machine Learning/AI Special Skills/Certifications: Demonstrated proficiency and working knowledge ...

focus on linear algebra, vector spaces, metric spaces, and multi-dimensional decision frameworks. Co-author and review peer-reviewed research papers targeting top AI, ML, and fairness venues. Advise on statistical and probabilistic modelling approaches — including drift detection, composite scoring, and distributional analysis across large interaction datasets. Review and validate … engineering team. Desirable/Nice to Have A PhD in a relevant discipline, or an active research profile with peer-reviewed publications in AI, ML, or mathematics. Background in knowledge graph embeddings, geometric deep learning, or representation learning. Familiarity with multi-criteria decision analysis (MCDA) or social choice theory. ...

seeking a Staff AI/ML Engineer – Controllable Biology to apply machine learning to biological networks and large-scale omics data. You will drive models from concept to production, shaping AI/ML products while balancing safety and reliability in a biotech context. The role is hybrid, requiring ...

drive operational transformation in areas such as procurement, demand forecasting, and sales & operations planning (S&OP).Develop strategies to integrate advanced analytics and ML into clients' operational frameworks, enabling data-driven decision-making and long-term value creation.Oversee the implementation of large-scale operations transformation programs, ensuring seamless integration … ML-driven solutions into existing processes.Manage program governance, stakeholder alignment, and change management to deliver measurable outcomes.Act as a trusted advisor to senior executives, providing insights on how actions can be pragmatically implemented to optimise supply chain and operational performance.Build strong relationships with PE funds and corporate clients, aligning transformation ...