26 to 50 of 248 Remote LLM Jobs

changes before launch Conduct statistical investigations into customer behaviour and funnel performance (e.g. search abandonment, filter usage, session patterns) Run literature reviews and research spikes on emerging techniques-e.g. LLM-assisted retrieval, hybrid recommenders, contrastive learning Collaborate with ML engineers to move promising prototypes into production Design and analyse AB tests to evaluate impact on discovery metrics (e.g. conversion, engagement More ❯

communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field More ❯

finish Preferred Experience 3+ years of professional software engineering experience Familiarity with GraphQL, gRPC, REST API design Experience with relational databases such as MySQL or PostgreSQL Exposure to AI, LLM integrations, or symbolic/neural hybrid systems Background in enterprise SaaS delivery or platform engineering More ❯

Looking For Proven experience delivering impactful AI/ML projects. Expertise in frameworks such as TensorFlow or PyTorch, and proficiency in Python. Familiarity with AI-first approaches and large language model integration. Some data engineering experience is a strong plus. Strong analytical and problem-solving skills. Excellent communication skills and ability to work effectively in a fully remote, multi-time More ❯

Looking For Proven experience delivering impactful AI/ML projects. Expertise in frameworks such as TensorFlow or PyTorch, and proficiency in Python. Familiarity with AI-first approaches and large language model integration. Some data engineering experience is a strong plus. Strong analytical and problem-solving skills. Excellent communication skills and ability to work effectively in a fully remote, multi-time More ❯

data science/ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch More ❯

data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch More ❯

data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch More ❯

and mobbing techniques in programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV More ❯

and mobbing techniques in programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV More ❯

and mobbing techniques in programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV More ❯

problem statement, articulating the root cause in a structured way. Expert knowledge : Demonstrate an understanding of the unique challenges of building with LLMs, such as managing hallucinations and evaluating LLM performance. Discovery : Identify and use a range of confidence-building methods to understand how users will interact with AI chat products, how to integrate AI into their workflows, and how More ❯

enterprise environment Any experience of these would be really useful Experience testing applications hosted in cloud native environments and containerised solutions Experience working with and testing against AI/LLM models Strong understanding of DevOps testing principles and different testing capabilities (SAST/DAST, SCA etc.) Any relevant cloud or cyber security certifications (CCSP, CISM, CISSP etc.) Experience in developing More ❯

services , model versioning, and advanced fine-tuning (LoRA, QLoRA, etc.). Qualifications Solid Python skills (3.9+) with deep knowledge of async, OOP, and performance tuning. Hands-on experience with LLM fine-tuning , image processing, and ML libraries. Experience building and maintaining cloud-native AI/ML services . Familiarity with Agile development , TDD, and infrastructure-as-code. Bonus: experience with More ❯

versioning, and advanced fine-tuning (LoRA, QLoRA, etc.). AI Engineer requirements: Solid Python skills (3.9+) with deep knowledge of async, OOP, and performance tuning. Hands-on experience with LLM fine-tuning , image processing, and ML libraries. Experience building and maintaining cloud-native AI/ML services . Familiarity with Agile development , TDD, and infrastructure-as-code. Bonus: experience with More ❯

of agentic experiences where AI and humans work in true partnership. You will define and deliver products that go beyond simple agent assist, creating Agent Copilot, Knowledge AI, and LLM-powered capabilities that empower agents to act with autonomy, intelligence, and empathy.The ideal candidate has a proven track record of bringing AI-driven innovation to market, leading cross-functional teams More ❯

in AI workflow automation ? Join a profitable, fast-growing startup building cutting-edge GenAI solutions for the legal and compliance sector. As a Solutions Engineer/AI Engineer/LLM Engineer , you'll work directly with clients, design POCs and production-ready solutions , and deliver impact using LLMs, LangChain, Python, and Azure . With 3+ years' experience, excellent communication skills More ❯

YTY Extensions (Potential Temp-to-Hire) Charlotte, NC 28206 Hybrid Onsite 3 Days per week Required Skills: Design and deliver AI solutions within MS Fabric Power Automate CoPilot, studio LLM technologies, Azure OpenAI Rest APIs and external data Hyperscaler AI services (any) Key Responsibilities: Design and deliver end-to-end automation and AI agent solutions using Microsoft Power Platform (Power More ❯

and deploy Python-based AI applications for internal use Conduct R&D on generative AI techniques including fine-tuning, prompt engineering, and retrieval-augmented generation Build agentic systems and LLM-assisted frameworks using modern orchestration tools Collaborate with cross-functional teams to deliver production-ready solutions Maintain high standards of code quality, documentation, and testing Develop evaluation pipelines and ensure More ❯

and deploy Python-based AI applications for internal use Conduct R&D on generative AI techniques including fine-tuning, prompt engineering, and retrieval-augmented generation Build agentic systems and LLM-assisted frameworks using modern orchestration tools Collaborate with cross-functional teams to deliver production-ready solutions Maintain high standards of code quality, documentation, and testing Develop evaluation pipelines and ensure More ❯

for innovation, and ensure solutions are scalable and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and More ❯

for innovation, and ensure solutions are scalable and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and More ❯

best work of their careers. About You Experience in B2B SaaS Product Management experience, ideally in fintech or investor-related industries . Experience with data science, machine learning, or LLM-based teams – ideally early-stage discovery work. Strong road mapping and prioritisation skills , with a track record of shipping products using Agile. Data-driven mindset – confident tracking metrics, running experiments More ❯

infrastructure. What we’re looking for Experience leading or mentoring technical specialists. Hands-on background in AI methods such as NLP, machine learning, deep learning, and statistical modelling (large language model experience a bonus). Proficiency in software engineering , with a strong grasp of algorithms and data structures. Excellent communication skills, comfortable engaging both technical and non-technical audiences. Track More ❯

productivity. Aveni is an award winning technology company. We useadvanced AI to enable scalable efficiency for financial services companies,combining world-leading Natural Language Processing (NLP) and Large LanguageModel (LLM) expertise with deep financial services domain experience to driveenterprise-wide productivity. Aveni harnesses the power of voice to driveunprecedented efficiency and oversight. We're using the latest in AI toautomate More ❯