101 to 125 of 241 LLM Jobs in Central London

finance services business builds, deploys, and adopts AI across the business. Expect hands-on engineering, real problem solving, and plenty of collaboration as you help architect, automate, and operationalise LLM-driven services at scale. What You’ll Be Doing: Building backend services and APIs that give secure, governed access to LLM capabilities Developing Python-based GenAI components, including prompt orchestration … CI/CD pipelines using Azure DevOps Working closely with platform leads, architects, and SRE teams to ensure stable, scalable operations Supporting benchmarking, evaluation, and experiment tracking to measure LLM performance and cost Contributing to RAG implementations and vector-driven retrieval patterns Helping shape platform patterns, reusable components, and clear documentation Troubleshooting performance issues across distributed systems and cloud services … What You’ll Bring: 5+ years of backend engineering experience, with strong Python at the core Hands-on exposure to GenAI technologies and Large Language Models Practical understanding of LLM evaluation, prompt handling, and operational complexities A DevOps-first approach with experience in CI/CD, observability, and automation (Azure DevOps preferred) Confidence working in regulated enterprise environments with tight More ❯

Software Engineering Technical Lead - Series A/B FinTech Scale-Up This is a fantastic opportunity to join a fast-growing, well-funded fintech and be part of our journey as we continue to develop and scale our distributed financial More ❯

If you need support in completing the application or if you require a different format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100/+44 204 520 2575 with the More ❯

from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based … clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/impact ranking, de‐noising, suppression/cool‐downs, routing, and feedback loops. 25% Architect & scale Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines … Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework ( ADK preferred ). Proven track record shipping AI agents and building RAG pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‐on with time‐series analysis (forecasting, change‐point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS More ❯

streamline workflows. Collaborate with product and engineering teams to integrate prompting strategies into user-facing features and backend systems. Stay current with the latest advancements in prompt engineering techniques, LLM capabilities, and conversational AI research. Play a key role in building and maintaining a centralized library of best-in-class prompts and interaction patterns to ensure consistency and reusability. Person … ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications, with a strong portfolio of examples. Python Proficiency: Strong command of Python and its use in interacting with APIs and building applications. Collaborative Development: Experience using collaborative coding environments More ❯

language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI … frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation package Competitive salary and performance-based bonus. Opportunities for professional growth and career advancement. Contribution pension scheme. A collaborative and innovative work environment. More ❯

modern fintech platform. What You’ll Be Doing: Designing, training, and deploying machine learning and deep learning models for financial analytics, credit/risk scoring, and portfolio insights Building LLM-powered tools (e.g. using GPT-class models) that assist with data extraction, document understanding, investor reporting, and internal decision-support Implementing end-to-end AI pipelines: data ingestion, cleaning, feature … and features Collaborating with product and domain experts to translate fintech and capital-markets workflows into well-scoped AI problems and measurable targets Contributing to internal R&D on LLM evaluation, retrieval-augmented generation (RAG), and methods for improving reliability and explainability of models in financial contexts What We’re Looking For: A recently completed AI-focused Master’s degree … e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Experience training, tuning, and evaluating models using real datasets (not just toy examples), including careful validation and error analysis Familiarity with modern LLM tooling and workflows (e.g. using APIs, building simple RAG or prompt-based systems) is highly advantageous Comfortable working in Linux-based development environments, using Git, testing, and basic CI practices More ❯

and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud … have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take More ❯

and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud … have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take More ❯

and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud … have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take More ❯

We are working with Atmospheric AI , a London-based AI company bringing radical visibility to global supply chains, creating a technology that will eliminate supply chain unknowns to drive down costs, achieve carbon targets, and strengthen supply chain resilience. We More ❯

We are looking for an experienced Service Operations Engineer . Responsibilities: • Responsible for planning the server or rack, arranging the server mounting or rack installation, and following up the installation of the server operating system • Responsible for the daily maintenance More ❯

Our client, an innovative AI startup bringing frontier technology to the adult social care sector, have developed cutting-edge products to enhance the quality and efficiency of care services. They are now seeking a talented entrepreneurial Engineer to join in More ❯

you an AI engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with global clients across … across full-stack delivery, from architecture to production deployment, collaborating with cross-functional teams and mentoring other engineers. Key Responsibilities Build and deploy scalable AI tools using Python and LLM APIs Design end-to-end agentic and RAG-based solutions for enterprise use Own delivery from proof-of-concept through to production Work with cloud-native architectures (e.g. AWS Lambda More ❯

** you must be SC cleared and hold a valid SC certificate*** Senior AI Engineer Inside IR35 | Up to £750 per day | SC Cleared Required Contract until 31/03/2026 Hybrid: 1 day into Glasgow Office per week. We More ❯

We are looking for a Junior Server Operations Engineer . Responsibilities: Responsible for planning the server or rack, arranging the server mounting or rack installation, and following up the installation of the server operating system Responsible for the daily maintenance More ❯

Orchestration, your central challenge will be solving the “cumulative latency” puzzle. You will be singularly responsible for orchestrating a best-in-class, “buy, don't build” AI stack (STT → LLM → TTS) to deliver a seamless, natural, and responsive voice-to-voice (V2V) experience, targeting a sub-1000ms latency from the moment a caller stops speaking to the moment our AI … Core Logic Own the end-to-end backend architecture for the Personal Welcome Manager, our flagship conversational AI product. Design, build, and optimize the core AI orchestration pipeline (STT → LLM → TTS) to meet our < 1000ms V2V latency target. Serve as the technical lead for our "Buy, Don't Build" AI strategy, integrating, managing, and evaluating third-party AI services from More ❯

Senior DevOps Engineer (MLOps/LLMOps) Clearance: Eligible for BPSS Start: ASAP Work pattern: Hybrid (London) Work type: 12 month FTC (Competitive Salary) We’re working with a major UK government initiative that’s shaping the future of how citizens More ❯

My client is a London-based PropTech startup (founded 2024) building an agentic AI platform that automates property management workflows. They're tackling the UK's heavily regulated property market with AI that handles compliance, maintenance coordination, and tenant communications More ❯

AI Solutions Specialist -Presales Salary + Benefits to be discussed over a call London - Hybrid Options Available Are you passionate about how AI can transform customer engagement? We’re looking for a creative, commercially minded AI Solutions Specialist to join More ❯

AI Solutions Specialist The AI Solutions Specialist is a key technical leader within the Pre-sales function, driving the design and delivery of enterprise-scale AI and CX solutions. You will act as a trusted advisor to clients, leading discovery More ❯

Software Engineer (Python) - BioTech AI Start Up London, 5 days onsite Up to £130k I’m partnering with an AI BioTech start up who are looking for a Backend Engineer to join their lean, high-impact team and help scale More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by More ❯

AI/Machine Learning Engineer – Agentic AI & LLM Systems We’re partnered with a pioneering AI organisation pushing the boundaries of Agentic AI — building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , you’ll design the frameworks, tools, and data loops that allow intelligent agents to think, plan, and improve … themselves — transforming raw model power into adaptive, high-performing AI systems. What You’ll Do: Build Agentic Systems – Develop and optimise LLM-based agents that can reason, plan, and execute multi-step tasks autonomously. Enhance LLM Reasoning – Apply reinforcement learning, tool use, and reflection techniques to strengthen decision-making and contextual understanding. Design Scalable Frameworks – Create data pipelines, annotation tools … production-grade systems that extend the autonomy and reliability of agents. Run Experiments End-to-End – Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation. What You’ll Bring: 4+ years’ experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in More ❯

has fuelled rapid growth in the team and we are looking for Senior AI Engineers of different experience levels to join us in building the business by developing end2end LLM products for our clients. What we’re looking for: We’re looking for people that have experience building production ready AI solutions, to design, build and deploy AI solutions in … AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc The role is hybrid, with adhoc More ❯