platforms such as AWS, Azure, or GCP. ● Experience with Agile development methodologies. ● A strong understanding of ethical considerations in AI/ML. Preferred Qualifications: ○ Experience with deep learning and naturallanguage processing. ○ Experience with MLOps and DevOps practices. ○ Experience with financial regulations and compliance requirements. ○ Degree in Computer Science, Data Science, or a related field. More ❯
platforms such as AWS, Azure, or GCP. ● Experience with Agile development methodologies. ● A strong understanding of ethical considerations in AI/ML. Preferred Qualifications: ○ Experience with deep learning and naturallanguage processing. ○ Experience with MLOps and DevOps practices. ○ Experience with financial regulations and compliance requirements. ○ Degree in Computer Science, Data Science, or a related field. More ❯
are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is More ❯
Out in Science, Technology, Engineering, and Mathematics
and build scalable, fault-tolerant backend services that support real-time AI experiences across Axon devices, mobile apps, and web interfaces. Collaborate with Applied AI teams to integrate large language models and related services into production systems - with a focus on latency, reliability, and observability. Contribute to and lead architecture discussions , including model orchestration, caching strategies, data storage patterns … and performance optimization. Experience with both SQL and NoSQL data stores , caching layers, and observability tooling (e.g., Prometheus, Datadog). Nice to have: Experience deploying or integrating LLMs or NLP models in production systems. Comfortable balancing short-term execution with long-term architectural thinking . Passion for building highly-available systems that power mission-critical experiences. Interest in or exposure More ❯
you to help take the reins of a groundbreaking project at Medpace. We are currently seeking a professional with direct experience interacting with artificial intelligence (AI) tools such as NLP, LLM, IA etc. This professional will be expected to lead the programming and fine-tuning of various AI tools and help IT teams to implement them into new applications. This … support programming and fine-tuning of various AI tools with the IT team to implement them into new applications; Lead the identification and development of AI tools such as NLP, LLM, and IA; Design, develop, and implement artificial intelligence (AI) models and algorithms for various applications; Work on a broad set of tasks encompassing various forms of machine intelligence (e.g. … field; Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the development of highly complex AI models (NLP, LLMs, Deep learning etc); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Excellent communication skills to collaborate effectively with cross-functional More ❯
it to form the hypothesis and validate it using data. • Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. • Developing and implementing machine learning models and deep learning architectures to improve NLP systems. • Collaborate with seasoned Applied Scientists and propose best in class LLM solutions for business requirements … and verbal communication skills - • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - • Master's degree with specialization in ML, NLP or Computer Vision preferred - • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - • Diverse experience will be favored eg. More ❯
multi-modal understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision. Key job responsibilities As an Applied Science Manager, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the More ❯
CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need to be able to demonstrate the core skills for the role, although … in building, deploying, and maintaining ML models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software More ❯
CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need to be able to demonstrate the core skills for the role, although … in building, deploying, and maintaining ML models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software More ❯
. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory More ❯
Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯
Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯
genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯
and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for building innovative and More ❯
and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for building innovative and More ❯
ready data and scalable pipelines. Nice to have Prior experience working in financial services or within a marketing analytics function. Knowledge of customer lifetime value modelling, recommendation systems, or NLP-based content personalization. Exposure to regulatory considerations in marketing data usage (e.g., GDPR, data privacy in finance). More ❯
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 More ❯
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 More ❯
too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! Key job responsibilities Design, develop, and evaluate highly innovative models for NaturalLanguage Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy … categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models. Minimum Qualifications 2+ years of building models for business application experience. PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience. Experience … popular deep learning frameworks such as MxNet and Tensor Flow. Experience building machine learning models or developing algorithms for business application. Experience in building speech recognition, machine translation and naturallanguageprocessing systems (e.g., commercial speech products or government speech projects). Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms. Experience More ❯
about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and NaturalLanguageProcessing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical … study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement More ❯
about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and NaturalLanguageProcessing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical … study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement More ❯
and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of NaturalLanguageProcessing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. … deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing models over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Knowledge … of open source datasets and benchmarks in NLP/Computer Vision Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/implementing pipelines using More ❯
various IT systems? If so, we have an exciting opportunity for you at Medpace. We are currently seeking a professional with experience with artificial intelligence (AI) tools such as NLP, LLM, IA etc. This professional will be programming and fine-tuning various AI tools and helping IT teams to implement them into new applications. This professional will work collaboratively across … Research, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems; Research, develop, and implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep … Proven experience implementing and fine-tuning Large Language Models or interactive AI applications (>1 year post-graduate experience); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization of More ❯
build the most advanced language model in the industry and revolutionize company interactions with AI. We are looking for a creative problem solver with a deep understanding of NLP and ML technologies to help us develop powerful AI applications. As an AI engineer at Writer, you will play a key role in developing and deploying cutting-edge generative AI More ❯
