101 to 125 of 1,932 LLM Jobs in London

Candidate: • Strong Experience managing Knowledge bases and working with AI. • Strong experience managing multiple workstreams and teams and working within budgets. • Experience in Gen LLM tool platforms and process - Databricks Mosaic AI preferably, Co-Pilot, Open AI are nice to haves. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit More ❯

and align the business to the target operating model. Projects may include Intelligent Automation, Data Transformation, Data Visualization, Data Digitization, Artificial Intelligence (such as LLM, NLP, & Gen AI) and various other initiatives. The role provides the opportunity to innovate through cutting edge technologies while partnering with operations, product and technology More ❯

with your recruiter to learn more. Base pay range Direct message the job poster from NearTech Search Multilingual Senior Recruitment Consultant | Machine Learning | NLP | LLM | MLOps Python Engineer - London | Hybrid - £60,000 - £75,000 Looking to make your mark in the Ad-Tech space? Our client, a trailblazer in data More ❯

reasonable accommodation for any part of the application or hiring process can email recruiting-operations@li.me for assistance. Use of artificial intelligence or an LLM such as ChatGPT during the interview process will be grounds for rejection of your application. #J-18808-Ljbffr More ❯

etc). Develop robust evaluation benchmarks to track improvements in production models Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies Build tooling which allows cooperation between clients/users of the machine learning models and MLEs (data pipelines, automated evaluation More ❯

as PyTorch/TensorFlow. Experience in building and optimising systems for performance, scalability, and reliability. Strong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges (prompt engineering, latency, cost optimisation). Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform). Familiarity and hands-on More ❯

owned end-to-end product development before. You've defined, shipped and then owned product features yourself. Extensive experience with Python and proficiency in LLM libraries (e.g., Langchain, LLMFlows). Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Be ambitious More ❯

experience with frontend and backend systems. Proficient in C# or Python to build, maintain, and execute automated test suites. Experience working on AI/LLM projects such as testing model accuracy, correctness, completeness, and performance is a plus. Experience with Azure OpenAI Service, AWS Bedrock, and/or AWS Sagemaker More ❯

knowledgeable engineer with a proven ability to turn ambiguous problems into deployed, high-quality code quickly. You thrive on making things happen. Hands-On LLM/AI Experience: You have demonstrable experience building and shipping meaningful projects (at work or independently) using modern AI tools and techniques (e.g., OpenAI, Anthropic More ❯

deliver robust, production-grade AI capabilities. Responsibilities Design and implement secure, cloud-native microservices and APIs using Python for data and AI services. Architect LLM-integrated systems (e.g., RAG pipelines) leveraging LangChain, vector databases, and GenAI providers (e.g., AWS Bedrock, OpenAI). Automate infrastructure and CI/CD workflows using More ❯

such as Hadoop, Spark, or Kafka - advantage − Familiarity with data warehousing solutions and cloud data platforms. − Background in building applications wrapped around AI/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered More ❯

such as Hadoop, Spark, or Kafka - advantage − Familiarity with data warehousing solutions and cloud data platforms. − Background in building applications wrapped around AI/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered More ❯

such as Hadoop, Spark, or Kafka - advantage − Familiarity with data warehousing solutions and cloud data platforms. − Background in building applications wrapped around AI/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered More ❯

AWS, GCP, Azure) Valuable Additional Skills: Experience with data analytics and visualization tools Familiarity with vector databases and AI/ML integration Experience with LLM orchestration frameworks (LangChain, LangGraph, etc.) Financial domain knowledge or fintech experience Experience with API design and microservices architecture Background in data engineering or ETL processes More ❯

AWS, GCP, Azure) Valuable Additional Skills: Experience with data analytics and visualization tools Familiarity with vector databases and AI/ML integration Experience with LLM orchestration frameworks (LangChain, LangGraph, etc.) Financial domain knowledge or fintech experience Experience with API design and microservices architecture Background in data engineering or ETL processes More ❯

hosting, and technical architecture. Knowledge of industry trends, opportunities, and threats. Experience with GenAI, predictive analytics, and automation workflows. Familiarity with NLP frameworks and LLM fine-tuning techniques. ITIL and/or AI/ML certifications (AWS, Google Cloud). Experience with scripting web services, Java, and CMDB or asset More ❯

access to the law should be a basic utility in society. Our AI lawyer Lawrence is built on top of our own fine-tuned LLM who has passed the Solicitors Qualifying Exams (SQE). We have backing from leading US and UK VC funds including Google Ventures, Balderton Capital and More ❯

Company Insight: The company is a world leading investment manager with offices throughout North America, Europe and Asia. They are at the forefront of developing advanced hardware and software, utilizing proprietary prediction algorithms for autonomous trading of the markets. This More ❯

and containerization (e.g. Docker). Interest in or experience with building microservices , APIs, or distributed systems. Prior work with data processing, prompt engineering, or LLM evaluation. Enthusiasm for learning, experimentation, and applying new AI tools to real-world problems. Strong communication skills and a collaborative mindset. Competitive salary and EMI More ❯

data lakes, and data quality tooling. You have experience with Microsoft services such as Databricks and Azure Services. You are experienced in working with LLM and Prompt Engineering. You have experience working with RESTful APIs and microservices. FE fundinfo is a leading investment management technology and data company connecting asset More ❯

AI Experiences team. Key initiatives include: Developing Retrieval-Augmented Generation (RAG) systems, curating data, and building evaluation frameworks for continuous improvement. Designing tools for LLM-powered search agents to handle complex queries and scaling solutions for thousands of users. Prototyping and maintaining high-performing, client-facing search and streaming applications More ❯

for Gemma and Gemini APIs. Conduct technical consultation and brainstorming sessions with strategic partners to guide them in developing innovative solutions using Google's LLM Models via AI Studio. Develop and share technical resources, sample code, and best practice documentation to accelerate partner adoption. Collaborate closely with Product Managers/ More ❯

that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including More ❯

that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including More ❯

include: Deliver solutions end to end that meet the needs of our customers - understanding user pain points, scoping product specs, and designing and building LLM-powered software Benchmarking the model or help write evals for customers to identify model weaknesses Improve model performance by system prompt tuning or fine tuning More ❯