26 to 50 of 435 LLM Jobs in England

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 ❯

governance for autonomous decision-making.What We're Looking For:Experience in pre-sales support within consulting or product-driven environments.Deep understanding of AI/ML techniques (RL, planning algorithms, LLM-based agents).Proven track record in building production-ready agentic systems, including multi-agent coordination and decision-making frameworks.Strong grasp of SDLC and software best practices.Familiarity with frameworks like LangChain More ❯

Deep understanding of AI technologies, algorithms, and frameworks . Proficiency in programming languages (Python, R, C/C++, Java) and secure coding practices. Hands-on experience with ML/LLM frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Expertise in DevOps/CI/CD security and cloud-native architectures (containers, Kubernetes, Git). Strong knowledge of AI/ML-specific More ❯

Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test Developing observability for new and existing ML applications and GenAI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo) Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models Being responsive to incidents regarding More ❯

exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work More ❯

phases of client projects, ensuring the delivered solution meets the design specifications and business requirements. Continuous Learning: Maintain a deep understanding of the rapidly evolving AI landscape, including new LLM capabilities, agentic frameworks, and industry best practices, and integrate this knowledge into solution designs. Required Qualifications & Skills Experience: 8+ years of experience in a technical role such as Solution Architecture More ❯

entire ML lifecycle-from data processing and model training to evaluation and deployment. You will collaborate with cross-functional teams to create reusable, efficient solutions tailored for large-scale LLM projects. Our client is a global leader renowned for pioneering innovations in computer software, personal computers, and mobile tablets, transforming the tech landscape. The team uses advanced machine learning frameworks More ❯

Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys,Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid working or a remote position in the UK, Poland or More ❯

effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid or a remote position in the UK, Poland or Portugal. More ❯

Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines. Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following More ❯

Insurance or Healthcare Cash Plan Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or More ❯

Next.js (preferred), with flexibility for other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub, CI/CD, Docker AI & Automation: LLM APIs, vector databases, agentic workflow tools, n8n, Claude Code, Cursor What were looking for We know no one ticks every box, but proven experience in leading engineering teams and building More ❯

and thrive. What you'll need Experience developing or supporting AI and ML models, including the commonly used python libraries for machine learning and data pre-processing. Awareness of LLM methods and skills in prompting or fine-tuning are beneficial but not mandatory. Strong analytical and research skills with the ability to interpret complex data Familiarity with the theory and More ❯

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 ❯

a hands-on, globally distributed group tackling innovative R&D challenges that directly impact customers. Our Technology Stack: Python Agentic tools (Autogen, Semantic Kernel, LangChain) SQL MongoDB Third-party LLM APIs LiteLLM MLflow Google Cloud Platform Docker PyTorch Hugging Face Transformers SPARQL Kubernetes WHAT YOU WILL BE DOING AT BEAMERY Strategic AI Leadership Define and implement the company's AI 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 ❯

Jira, Notion, Figma) Awareness of data privacy and compliance challenges in enterprise products Nice to have Background in AI/ML products, analytics platforms, or workflow tools Experience with LLM applications, knowledge graphs, or enterprise AI integrations Exposure to regulated or high-security industries (finance, maritime, healthcare, logistics More ❯

Bachelor's degree or higher (ideally in a technical field such as computer science or engineering). PREFERRED QUALIFICATIONS MBA or other relevant advanced degree. Experience with Generative AI, LLM and ML models Proven track record of defining and building highly trusted brands visible to millions of customers in an eCommerce environment. Our inclusive culture empowers Amazonians to deliver the More ❯

for data applications. Familiarity with serverless/event-driven architectures. Experience designing scalable, low-latency data services. Exposure to Datadog or CloudWatch monitoring tools. Nice to Have: Experience with LLM-powered applications or OpenAI APIs . Professional experience in a similar environment or high-scale system. Key Roles and Responsibilities: Own Data Solutions – Design, build, and operate cloud-native, high More ❯

Kafka, Flink, and/or Pulsar Strong background in event-driven architectures, streaming pipelines, and data lakes Hands-on experience with AI/ML production systems, including prompt-based LLM integrations Expert-level Java development skills, with a polyglot mindset (comfortable in Python, React, or other languages as needed) Proven experience working in multi-team, global environments with strong collaboration 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 ❯

advancements, finance industry regulations, and AI risk trends. Required Qualifications 10+ years in enterprise technology, consulting, or solution architecture roles, with 3+ years hands-on experience in GenAI or LLM-based solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama More ❯

advancements, finance industry regulations, and AI risk trends. Required Qualifications 10+ years in enterprise technology, consulting, or solution architecture roles, with 3+ years hands-on experience in GenAI or LLM-based solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama More ❯

Next.js (preferred), with flexibility for other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub, CI/CD, Docker AI & Automation: LLM APIs, vector databases, agentic workflow tools, n8n, Claude Code, Cursor What were looking for We know no one ticks every box, but proven experience in leading engineering teams and building More ❯

Generative AI experience Proven experience with language-based Generative AI eg. LangChain, LangSmith, LangGraph, RAG, Proficiency in Python, data science libraries such as numpy, Pandas, scikit-learn Experienced in LLM frameworks such as LangChain Ability to build and create prototypes in a fast-paced environment BSc/MSc in Computer Science, Physics, Mathematics, Engineering, or similar field Why Join Our More ❯