751 to 775 of 2,605 Remote/Hybrid Machine Learning Jobs

marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation. Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data. Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely ...

working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, your work will directly influence how we harness data ...

marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation.· Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data· Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely ...

cross-functional collaboration skills.Experience working within Agile or SAFe delivery environments.Nice To HaveMaster’s degree or PhD in Computational Linguistics, Speech Science, Artificial Intelligence, Machine Learning, or a related field.Experience with Google Conversational AI technologies (CCAI, Dialogflow CX, Agent Assist, Speech-to-Text, Text-to-Speech) and migrating ...

ambiguous, high-impact technical and commercial problems. Willingness to travel to client sites when required. Bachelor's or Master's degree in Computer Science, Machine Learning or a related technical discipline. Desirable Experience The following would be advantageous: Experience within healthcare, life sciences, pharmaceuticals or biotech , including clinical ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes‐based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well‐structured datasets. Participate in code reviews and internal knowledge‐sharing sessions. Provide guidance to junior engineers where ...

enabling our teams to be involved in different and varied projects and audit analytics delivery including bespoke and standardised data analytics, governance, advanced (AI-ML) analytics, end-user tools development and support, as well as robotic process automation (RPA) services. About The Role The role of an auditor ...

Robotics, or a related STEM subject 5+ years' experience developing computer vision algorithms in industry or research Strong understanding of computer vision, image processing, machine learning, and deep learning Experience taking algorithms from concept through testing, validation, and deployment Strong Python and C++ programming skills Experience with ...

projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key.Right now, our Data Scientists are working on several … expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore ...

sports data into real-time insights, personalised experiences and entirely new ways for fans to engage with sport. We're looking for a Principal ML Engineer to help lead that journey. Role/Team overview : You'll join a team building AI that understands sport, not another recommendation engine. … readiness. • Build credibility through deep technical expertise rather than line management responsibility. What you'll bring: Essential criteria: • Deep expertise in Computer Vision, Deep Learning and production machine learning systems. • Experience operating at Lead, Staff or Principal Engineer level, with a track record of technical ownership ...

OpportunityThe Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate …/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. Deep understanding of the GenAI landscape and agentic ...

automation scripts, and spatial data pipelines for ArcGIS Pro, ArcGIS Enterprise, and SDE environments. Integrate deep learning frameworks (e.g. PyTorch or TensorFlow) and ML libraries (such as scikit-learn or Hugging Face) into geospatial workflows to solve client-specific problems at scale. Lead technical delivery on GeoAI project workstreams … clear focus on Python development and automation. Strong Python skills: ArcPy, ArcGIS API for Python, geopandas, shapely, rasterio, GDAL. Practical experience applying AI/ML to geospatial problems (e.g. object detection, image classification, feature extraction, or spatial prediction). Working knowledge of at least one deep learning framework (PyTorch ...

automation scripts, and spatial data pipelines for ArcGIS Pro, ArcGIS Enterprise, and SDE environments. Integrate deep learning frameworks (e.g. PyTorch or TensorFlow) and ML libraries (such as scikit-learn or Hugging Face) into geospatial workflows to solve client-specific problems at scale. Lead technical delivery on GeoAI project workstreams … clear focus on Python development and automation. Strong Python skills: ArcPy, ArcGIS API for Python, geopandas, shapely, rasterio, GDAL. Practical experience applying AI/ML to geospatial problems (e.g. object detection, image classification, feature extraction, or spatial prediction). Working knowledge of at least one deep learning framework (PyTorch ...

automation scripts, and spatial data pipelines for ArcGIS Pro, ArcGIS Enterprise, and SDE environments. Integrate deep learning frameworks (e.g. PyTorch or TensorFlow) and ML libraries (such as scikit-learn or Hugging Face) into geospatial workflows to solve client-specific problems at scale. Lead technical delivery on GeoAI project workstreams … clear focus on Python development and automation. Strong Python skills: ArcPy, ArcGIS API for Python, geopandas, shapely, rasterio, GDAL. Practical experience applying AI/ML to geospatial problems (e.g. object detection, image classification, feature extraction, or spatial prediction). Working knowledge of at least one deep learning framework (PyTorch ...

based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases. The ideal candidate has a strong foundation in machine learning and NLP, with hands‐on experience in modern GenAI tools and frameworks such as OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock … LLMs, transformers, and GenAI architecture. Qualifications and experience we consider to be essential for the role: 5+ years of experience in Data Science/ML, with 1+ year hands‐on in LLMs/GenAI projects. Strong Python programming skills, especially in libraries such as Transformers, LangChain, scikit-learn, PyTorch ...

production deploymentBuild and foster external collaborations with academic and industrial partnersFollow scientific and technical standards for experimentation, reproducibility, and model evaluationCollaborate deeply with Engineering, ML Platform, and HPC teams to deliver robust and reliable model updates to usersQualities we look forWe’re looking for a scientist with a deep technical … Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus.A track record of leading self-directed research projects that go well beyond academic exercises and deliver tangible results.Expertise in deep reinforcement ...

skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual … sell up to 5 days Flexible hybrid working arrangements Continuous professional development including incentives Access to online Udemy training facility to support grade specific learning pathways Electric car scheme Bike to work scheme Private health care About Us: Synoptix was formed in 2011 to provide engineering solutions across various ...

full lifecycle of your work, from data collection and modelling through prototyping, coding, and delivery to production. You’ll apply both classical ML and modern LLMs to the problem and develop new methods to address it. You’ll work closely with product, other engineering teams, and customer-facing teams … shipping models that made it to production and stayed there. Deep understanding of machine learning fundamentals. Hands-on experience with both classical ML and modern LLMs. Experience with noisy, real-world data. Solid software engineering fundamentals. Experience with software processes in a multi-developer environment: requirements, demos, source ...

government client is looking for candidates who have at least one production AI/ML implementation, recent experience with AWS data services, Terraform, CI/CD, Python, and SQL. Candidates should have more than five years of overall experience and meet the other requirements outlined in the attached JD. Inside … data from various sources into the data infrastructure. Optimize data processing and storage for performance and cost-effectiveness. AI: Develop and deploy AI/ML models into production environments. Build scalable inference pipelines and AI APIs. Implement MLOps workflows for model versioning, monitoring, and retraining. Collaborate with data scientists ...

foster external collaborations with academic and industrial partners Follow scientific and technical standards for experimentation, reproducibility, and model evaluation Collaborate deeply with Engineering, ML Platform, and HPC teams to deliver robust and reliable model updates to users Qualities we look for We’re looking for a scientist with a deep … Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus. A track record of leading self-directed research projects that go well beyond academic exercises and deliver tangible results. Expertise ...

products and services. Working alongside Platform, Data and Product teams, you'll help deliver scalable, secure and high-performance data solutions that enable analytics, machine learning and AI across the business. If you enjoy solving complex technical challenges, working with modern cloud technologies and building robust data platforms … service, plus an extra day off for your birthday! We also operate summer hours so you can make the most of the sunshine. Learning & Development - Access a vast range of courses through our learning platform and benefit from structured career progression plans to support your growth. Health & Wellbeing ...

have a significant level of influence on the product and technical direction of security and code review products at GitHub. We value learning, introspection and reflection, and we’re always looking for ways to improve as a team and as individuals, so candor and a culture that values safety … operate and automate software lifecycle, such as Continuous Integration pipelines, release automation and Continuous Deployment, offline evaluation tools, CLI tools, or IDE extensions. OR Machine learning and AI applied to understanding source code, specifically building systems that use large language models (LLMs) to generate or reason about code ...

projects Excellent communication and presentation skills with ability to influence and advise executive stakeholders up to C-level Deep expertise in artificial intelligence, machine learning and generative AI applications with strong knowledge of MLOps and LLMOps lifecycles Advanced understanding of cloud-scale data platforms such as AWS, Azure … pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program ...

professional services firms. Our Artificial Intelligence & Data (AI&D) team at Deloitte is at the forefront of transforming our clients’ industries through advanced analytics, machine learning, and artificial intelligence. Our clients include some of the largest and most well-known organisations, brands and public bodies. We partner with … develop solutions that leverage the latest AI & Data technologies.At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting next ...