Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which … we often open-source, like our team's recent Llama 2. We are looking for engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for … language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Responsibilities Design methods, tools, and infrastructure to push forward the state of the art in large language models. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing More ❯
Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms. Strong analytical, mathematical, and coding skills (e.g. More ❯
in the mathematics, statistics and computational techniques which underpin AI/ML. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networkss; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The … candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. NaturalLanguage Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. More ❯
a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form More ❯
Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms. Strong analytical, mathematical, and coding skills (e.g. More ❯
related field (or equivalent industry experience). 7+ years of experience in AI/ML solution development, architecture, and enterprise integration. Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents. Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience More ❯
related field (or equivalent industry experience). 7+ years of experience in AI/ML solution development, architecture, and enterprise integration. Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents. Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience More ❯
related field (or equivalent industry experience). 7+ years of experience in AI/ML solution development, architecture, and enterprise integration. Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents. Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience More ❯
or finance. You're proficient in SQL and Python. You have a strong background in statistical modelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate about leveraging AI and data to improve financial inclusion and access to fair credit. You have excellent communication More ❯
the business. Requirements: 4+ years of experience A degree in STEM field or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled More ❯
the business. Requirements: 4+ years of experience A degree in STEM field or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled More ❯
part of our Group's RAG Initiative, you will collaborate with a cross-functional team to implement self-service AI-driven solutions - ranging from NLP Data Analysis and Data Discovery to other analytics assistants we will be deploying to the business to streamline data access, insights retrieval, and business process … SQL, funnels, user journeys exploration, retention, features active users, attribution, data exploration tool etc. Collaborate with data analysts to enable seamless user experiences for naturallanguage queries and structured analytics and data modelling using dbt. Implement query translation and enhancement techniques to improve LLM accuracy and retrieval quality. … ML integration. Strong knowledge of Python, FastAPI, Flask, or Node.js for backend API development. Experience with LLM-based architectures, retrieval-augmented generation (RAG), and NLP techniques. Proficiency in SQL, Redshift, and data warehousing concepts. Experience integrating structured and unstructured data sources for AI-driven applications. Knowledge of dbt, metadata management More ❯
Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation to model building, evaluation, and visualization. · Proficient in Python programming More ❯
Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation to model building, evaluation, and visualization. · Proficient in Python programming More ❯
skills and a passion for driving measurable business impact. Knowledge of marketing measurement techniques like media mix modelling. Exposure to advanced AI techniques (RNNs, NLP, GenAI, CausalAI, etc.). If this role looks of interest, reach out to Joseph Gregory More ❯
or finance. You're proficient in SQL and Python. You have a strong background in statistical modelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate about leveraging AI and data to improve financial inclusion and access to fair credit. You have excellent communication More ❯
Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. Familiarity with cloud platforms (AWS) and More ❯
problems. Impact driven, work proud and eager to have a real positive influence on Mesh-AI, our customers, and your team. Nice to Have NLP, LLMs, GenAI, time series forecasting, image recognition or deep learning. PySpark, OpenCV, spaCy or DVC. Exposure to MLOps. Why Mesh-AI Fast-growing start-up More ❯
helping people live happier, healthier, and longer. Education Masters Degree About the Role You will design, build, and optimize RAG pipelines that combine large language models (LLMs) with domain-specific retrieval systems, enabling naturallanguage understanding and reasoning over patient data, clinical guidelines, and health records. Your … to date with the latest research in GenAI and health tech applications of LLMs. Requirements 3+ years of experience working in machine learning/NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex More ❯
helping people live happier, healthier, and longer. Education Masters Degree About the Role You will design, build, and optimize RAG pipelines that combine large language models (LLMs) with domain-specific retrieval systems, enabling naturallanguage understanding and reasoning over patient data, clinical guidelines, and health records. Your … to date with the latest research in GenAI and health tech applications of LLMs. Requirements 3+ years of experience working in machine learning/NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex More ❯
discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis. Apply NLP to process biomedical literature and clinical data. Collaborate with cross-disciplinary teams to ensure models meet scientific goals. Continuously monitor and improve model performance. Requirements More ❯
re looking for.. 3+ years relevant industry experience Experience building or utilising end-to-end ML infrastructure and/or building ML models (Primarily NLP Applications) Experience with Cloud Platforms (Ideally AWS) Strong Python & SQL experience Experience in advertising, marketing or YouTube/social media video (Highly Desirable) Experience or More ❯
london, south east england, united kingdom Hybrid / WFH Options
Strativ Group
re looking for.. 3+ years relevant industry experience Experience building or utilising end-to-end ML infrastructure and/or building ML models (Primarily NLP Applications) Experience with Cloud Platforms (Ideally AWS) Strong Python & SQL experience Experience in advertising, marketing or YouTube/social media video (Highly Desirable) Experience or More ❯
GCP, or Azure. Strong written and spoken English skills. Bonus Experience: Experience with big data tools (e.g., Hadoop, Spark) and distributed computing. Knowledge of NLP techniques and libraries. Familiarity with Docker, Kubernetes, and deploying machine learning models in production. Experience with visualization tools like Tableau, Power BI, or D3.js. Understanding More ❯
able to explain complex AI concepts to non-technical teams. Desirable: Knowledge of data engineering, big data, and ML Ops best practices. Experience with NLP, forecasting, recommendation systems, or computer vision. Track record of leading AI projects from idea to production. Understanding of AI ethics and bias mitigation. Familiarity with More ❯
