151 to 175 of 2,433 LLM Jobs in England

bring experience in many of these areas: Python Proficiency: Ability to write clean, maintainable and testable production Python code. Foundational AI/LLM Knowledge: Understanding of how LLMs are applied in production settings (agents, RAG, prompt engineering). GenAI Frameworks: Exposure to frameworks like AWS Strands, OpenAI Agents SDK, Google ...

future deployments What We Need 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands‐on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full-stack ...

scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK , with fully remote working available ...

retrieval quality assessment, hallucination and drift detection, robustness testing, benchmarking, bias and fairness assessment, alignment and misalignment analysis, adversarial testing, and red-teaming Strong LLM/GenAI engineering fluency: prompting strategies, retrieval-augmented generation, context and memory design, function/tool calling, guardrails, observability, and failure-mode analysis (e.g., prompt ...

datasets using distributed computing (e.g. spark). Experience working with LLMs to deliver value in a commercial organisation, including how to manage and monitor LLM-based applications to maximise performance. Experience working with cloud technology, ideally Microsoft Azure and/or AWS. Proven track record of development and deployment ...

queues. Hands-on experience building and deploying AI applications in production environments. Experience implementing RAG pipelines , AI agent orchestration , and performance monitoring. Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety. What We Offer You will be reporting directly to the founders, who have ...

preferred. Job Responsibilities Delivery & AI Engineering Oversight End-to-End AI SDLC Delivery: Drive the full lifecycle of complex software programmes incorporating AI (Custom LLM solutions, RAG architectures, Agentic Workflows, and AI-powered SDLC tooling) from discovery to production rollout. AI-Assisted SDLC Transformation: Lead initiatives to integrate AI tools ...

improving platform reliability. Strong understanding of data quality, governance, lineage, security, and auditability. Experience or strong interest in AI, machine learning, MLOps or large language model technologies. Proven ability to influence technical decisions, mentor engineers, and drive engineering best practices. About Ideagen Ideagen is the invisible force behind many things ...

validation frameworks for models and services Experience in regulated industries (e.g. PCI, HIPAA, SOC2), large companies, or mature engineering teams Optional familiarity with LLM tooling/RAG Why Join Us? Impact: Own high-profile ML-backed services that power customer-facing products driving measurable business outcomes Autonomy: Take ...

payments, or a regulated industry environment. Consulting background with a strong delivery track record (strategy firm or Big Four). Experience building or deploying LLM-based solutions, AI agents, or agentic workflows. Familiarity with MLOps practices - model versioning, monitoring, and retraining. Experience working in fast‐moving environments. Exposure to enterprise ...

need to know the concept and be handy with the most common libraries Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. Develop Monitoring Systems: Create and support robust models for monitoring. Support and Innovate: Assist with a long tail of super ...

documented code. Experience developing and deploying machine learning, AI or data‐driven systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/ ...

stakeholders Your Skills Software engineering experience while leading engineering teams Strong hands‐on experience building and deploying AI applications in production Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns Experience with agentic frameworks and autonomous agent architectures Proficiency in Python and modern software development practices (testing, code ...

changing and wants to be at the forefront of that change. Experience with technologies or concepts such as OpenAI, Anthropic Claude, Amazon Bedrock, LLM APIs, coding agents, structured outputs, tool calling, RAG, semantic search, model routing or AI evaluation would be highly relevant. However, we're far more interested ...

scalable Python-based development environments such as PyTorch or TensorFlow Cloud-native machine learning and MLOps environments such as AWS SageMaker Small or large language model development with retrieval-augmented generation Industrial analytics or predictive maintenance Knowledge of construction-related industries and market drivers Commercial awareness to connect technical development ...

stakeholders Your Skills Software engineering experience while leading engineering teams Strong hands‐on experience building and deploying AI applications in production Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns Experience with agentic frameworks and autonomous agent architectures Proficiency in Python and modern software development practices (testing, code ...

on. Bonus points if you have Experience building digital twins or service virtualisations of external systems for agent evaluation environments. Experience with LLM evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/ ...

on. Bonus points if you have Experience building digital twins or service virtualisations of external systems for agent evaluation environments. Experience with LLM evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/ ...

frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands-on proficiency in programming (e.g., Python, JavaScript ...

Proven experience building complex AI systems, with hands‐on expertise in Retrieval‐Augmented Generation (RAG) and AI Agent architectures. Deep, hands‐on experience with LLM APIs and/or fine‐tuning and serving open‐source models. Strong understanding of prompt engineering and context engineering to maximize model relevance and accuracy. ...

/ELT, modern cloud data platforms, Spark/Databricks and data architecture AI & Machine Learning - ML Engineering, MLOps, Python, model deployment, evaluation, LLM/GenAI and production AI Technical Leadership - Senior/Lead engineering roles across Cloud, Platform, Data and AI The organisations vary, but the strongest opportunities tend ...

/ELT, modern cloud data platforms, Spark/Databricks and data architecture AI & Machine Learning - ML Engineering, MLOps, Python, model deployment, evaluation, LLM/GenAI and production AI Technical Leadership - Senior/Lead engineering roles across Cloud, Platform, Data and AI The organisations vary, but the strongest opportunities tend ...

modelling, or large-scale data analysis. Experience developing front-office applications, automation frameworks, or other business-critical software. Experience building AI, machine learning, or LLM-based solutions. Familiarity with financial markets, electronic trading systems, Equities, ETFs, Delta One products, distributed systems, or KDB+/q. About ...

centric AI; model interpretability; model post-training and alignment. Exceptional software engineering skills: Python, deep learning frameworks (e.g., PyTorch), frontier coding agent frameworks, modern LLM tooling, and cloud platforms (e.g., AWS, Azure, GCP). Demonstrated experience translating AI methods into applications that inform clinical and/or biomedical decisions, including ...

systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams and manage complex AI projects. Advanced proficiency in Python , MLOps, and software engineering principles. Experience setting ...