26 to 50 of 463 LLM Jobs in England

with the latest developments in AI APIs and tooling, and continuously assess potential opportunities. What We’re Looking For Proven experience integrating AI/LLM APIs into software systems or workflows. Strong experience in prompt engineering and chaining logic for AI-based tasks. Background in backend engineering (Python, NodeJS ...

Cloud provider Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground-floor opportunity to shape the product and the codebase from day one. ...

optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson ...

Applications are reviewed on an ongoing basis, and all candidates must have the right to work in the UK. AI Engineer, Machine Learning Engineer, LLM Engineer, Artificial Intelligence, Python, LangChain, LangGraph, DSPy, AWS, Remote Jobs UK, EdTech Jobs, AI Start-up, Auto Assessment, NLP, Multimodal AI, Evaluation Frameworks, ML Engineering ...

learning and statistical models using Python and PySpark. •Design and implement automation tools which can help dynamically adapt our products to external changes •Integrate LLM tooling into pipelines to aid with automation •Deploy monitoring tools and models using AWS infrastructure. •Investigate and troubleshoot anomalies in the data pipeline. •Promote data ...

business workflows Lead complex AI implementations, ensuring solutions deliver measurable value Evaluate and select appropriate models, frameworks, orchestration tools and platforms Architect and scale LLM-powered applications including chatbots and agent-based systems Produce thought leadership content and contribute to go-to-market propositions Maintain strong awareness of emerging technologies ...

unique datasets collaborating with data scientists and software engineers to build greenfield solutions. What You'll Do: Build and optimise Machine Learning pipelines Develop LLM-powered solutions and apply responsible AI practices Transition experiments into production-ready solutions Implement experiment tracking and monitoring Collaborate with data scientists and engineers What ...

Staff Machine Learning Engineer - Fully Remote LLM & NLP required We are hiring for a Staff MLE to join a large global organisation delivering advanced language and AI solutions to clients. The Role Lead and architect large-scale machine learning projects Build and deploy scalable ML models, pipelines, and systems Mentor ...

guardrails, and evaluation tools across text, audio, and video modalities. Build and test: Prompt-level guardrails. Safety classifiers Behaviour-shaping or reward-modelling components. LLM and multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets ...

Lead AI Engineer Tech Focus: Agentic AI/Agent Orchestration/Data Science/LLM/Gen AI Salary: Circa £100,000 + 20% Bonus + 20% Employer Pension Contribution Location: London – Hybrid This is an exciting opportunity for a Lead AI Engineer to join a prestigious financial organisation ...

predicting user engagement, building AI-based search engines, recommender systems, or similar large-scale ranking models. Generative AI & Technical Proficiency: Hands-on experience with LLM fine-tuning, Python, modern NLP frameworks, and familiarity with AWS SageMaker, Docker, and Airflow. Strong mathematical and statistical foundation. Ethical Drive: Commitment to ethical ...

scale. It is already a mature, revenue-generating platform, but is now entering a significant growth phase as search evolves beyond traditional engines into LLM-driven experiences. AI and automation are embedded into both the product and the way engineering teams operate, creating a genuinely forward-thinking environment. ...

INSIDE IR35 Umbrella What You'll Do Red-Teaming: Lead adversarial campaigns to identify system gaps using automated frameworks and LLM-as-a-judge. System Alignment: Use Preference Tuning, automatic prompt optimization, and context engineering to align models with safety policies. Data Engineering: Query and manage complex datasets to produce ...

decision-making under ambiguity Node.js, React, and TypeScript Python for AI workflows and automation Microservices and distributed system design Experience with AI/LLM frameworks (e.g. LangChain, OpenAI API, Vertex, LiteLLM) GCP experience and DevOps best practices (monitoring, observability, CI/CD) PostgreSQL and relational data modelling Event-driven systems ...

operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 3-6+ years building production backends/services ...

design. 6-month rolling contract, paying up to £1000 per day, depending on experience. Experience and skills required for the Data Scientist, Advanced SQL, LLM, RAG, Machine Learning, Python, Java Development experience in one or more object-oriented programming languages (e click apply for full job details ...

with considerable in-depth knowledge in implementing solutions using AWS. Practical cloud-native experience, specifically with AWS. Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. ...

Process: 1. Virtual Interview2. Virtual (technical) interview3. In-person interview KEYWORDS Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain. ...

stakeholders to turn questions into robust data assets Contribute to engineering standards, best practice, and reusable frameworks Support responsible AI tooling, including programmatic LLM workflows where appropriate What you’ll bring 2+ years’ experience in data engineering within a modern data stack Strong SQL, solid foundations in data modelling Python ...

stakeholders to turn questions into robust data assets Contribute to engineering standards, best practice, and reusable frameworks Support responsible AI tooling, including programmatic LLM workflows where appropriate What you’ll bring 2+ years’ experience in data engineering within a modern data stack Strong SQL, solid foundations in data modelling Python ...

stakeholders to turn questions into robust data assets Contribute to engineering standards, best practice, and reusable frameworks Support responsible AI tooling, including programmatic LLM workflows where appropriate What you’ll bring 2+ years’ experience in data engineering within a modern data stack Strong SQL, solid foundations in data modelling Python ...

willingness to learn fast Experience with FastAPI, Flask or similar Basic networking knowledge (ports, tunnels, proxies) SQL or NoSQL experience Preferred Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers ...

Experience * Strong programming expertise with Python.* Hands on experience working with Large Language Models (LLMs).* Experience with cloud services - AWS preffered* Knowledge of LLM evaluation, testing and prompt optimisation.* Excellent communication skills with the ability to influence stakeholders and work effectively in cross functional teams.* Experience mentoring and developing ...

Mitigation: Advise clients on emerging AI risks such as prompt injection, model poisoning, data leakage, and adversarial attacks. Architecture Design: Recommend secure architectures for LLM-based systems, automation workflows, and decision-support platforms. Policy & Governance: Develop security standards and guidelines for responsible AI use, aligned with emerging regulatory frameworks. Collaboration ...

facing products and internal platforms Establish best practices for experimentation, model governance, performance measurement and ethical AI use Define and oversee evaluation frameworks for LLM and GenAI outputs, ensuring accuracy, consistency, bias mitigation and alignment with Chambers standards Provide strategic leadership and oversight for Business Intelligence capabilities, including tool implementation ...