1 to 25 of 58 Permanent LLM Jobs in Cambridge

ability to build production-grade systems. Strong proficiency in Python, plus experience with C/C++ or another systems language. Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers ...

responsibilities of the role? Design and build full stack web applications to support end-to-end automation and test infrastructure Integrate AI capabilities including LLM-driven experiences in existing and new toolsets Develop APIs and microservices to support test and quality workflows Deploy, scale, and monitor services in cloud environments ...

agent helping you. What are the responsibilities of the role? Design and build full stack web applications using React and Node.jsIntegrate AI capabilities including LLM-driven experiences where appropriateDevelop APIs and microservices that connect tools, data, and platform workflowsDeploy, scale, and monitor services in cloud environments using KubernetesBuild robust, highly ...

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 prospective ...

data-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 prospective ...

also valued Demonstrated experience delivering AI, machine learning, or generative AI solutions in real-world settings Strong understanding of modern AI tooling, including LLM application patterns, orchestration frameworks, automation platforms, evaluation approaches, and model limitations Ability to balance experimentation with sound engineering discipline, including security, reliability, and maintainability Strong communication ...

control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management, problem management, demand forecasting, and production readiness ...

professional development of other engineers through coaching, mentoring and role modelling. We are looking for people with skills matching the team’s focus on LLM‐based AI. Experience in some or all of the following areas would be an advantage: Cloud infrastructure (especially AWS), infrastructure as code, and service management ...

programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies. Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation. Prior experience working with omics data and familiarity with oncology drug development. Excellent communication skills ...

code with confidence. Hands-on experience building agentic systems using frameworks such as LangGraph, Microsoft Agentic Framework, or MCP, with a solid understanding of LLM capabilities and risks. Experience designing and running experiments to validate ideas quickly, using technical prototypes, customer feedback, and lean startup principles to test assumptions ...

MIAME, etc.) Track record scaling data governance or data stewardship programs across multiple labs, studies, or organizations Familiarity with agentic AI, machine learning, or LLM-driven automation in data/science workflows Familiarity with biomarker platform companies (e.g., Guardant Health, Foundation Medicine, Tempus) or research consortia (e.g., NCI's SEQC ...

end. The role will focus primarily on model development, data pipelines and system performance. What You'll Do • Design and implement end-to-end LLM training pipelines • Source and, where appropriate, preprocess datasets for training and evaluation • Fine-tune and optimise open weight models (LLMs, vision or traditional ML) • Build ...

with Data Engineers to improve data quality, lineage and governance. Support the development of AI-enabled data solutions, including areas such as RAG and LLM integrations. Gather stakeholder feedback and continuously improve solutions based on business needs and adoption Your Profile Experience in Data Analytics, Business Intelligence, Data Visualisation ...

Postgres. AWS, or another cloud (ECS/Fargate, Lambda, SQS, S3, or the equivalents). Docker. Infrastructure as code (Pulumi, Terraform, or similar). LLM and AI integrations, or event-driven pipelines. A plus, not a must. It\'s also a plus if you\'re someone comfortable working with customers ...

architectures Experience with OpenTelemetry, Prometheus, Grafana, Loki, Tempo, or structured logging Comfort with Docker, Kubernetes, Helm, Terraform, GitHub Actions, or release automation Exposure to LLM infrastructure, model routing, embeddings, GPU workers, or ML platform systems Experience with SOC 2/ISO 27001 readiness, audit trails, secrets handling, or production compliance ...

Healx in Cambridge is seeking an Agentic AI Engineer to design and build LLM-agentic workflows that power our drug discovery platform. You’ll work with scientists to translate questions into agent designs and integrate them with our knowledge graph and literature sources. You’ll join a cross-functional team ...

Roku Entertainment Assistant team deliver reliable, high-quality conversational experiences at scale. You will own production systems across ranking, model delivery, evaluation and LLM-agent behaviour, working closely with machine-learning, product, data and platform partners. This is a hands-on engineering role for someone who can move comfortably between … doing? Own fulfilment-ranking pipelines from training orchestration and quality gates through deployment and online validation. Build and operate an offline-evaluation platform, combining LLM-as-judge harnesses with deterministic checks for answer quality. Develop the Roku Entertainment Assistant's LLM agent, including tool routing, retrieval, guardrails and answer caching. ...

seeking a Senior Software Engineer to strengthen the Entertainment Assistant team. You will own production ML and infrastructure across ranking, model delivery, evaluation and LLM behavior, collaborating with ML, product, data and platform partners. This hands-on role spans software architecture, ML lifecycle decisions and production operations to improve training ...

Healx, a Cambridge-based AI-powered biotech company, seeks an Agentic AI Engineer to build LLM-agentic workflows powering its drug discovery platform. You will design and refine agents that reason over a knowledge graph, literature and proprietary methods to generate testable hypotheses for rare diseases, collaborating with scientists across ...

Healx is seeking an Agentic AI Engineer to design and build LLM-agentic workflows powering its drug discovery platform. You will work with scientists to define problems, architect agents that reason over data sources, and integrate with a knowledge graph and proprietary methods. The role sits in a hybrid setup ...

Zendesk, and JIRA, or close equivalents Experience with version control using Git Experience with change-managed delivery workflows Ability to work with AI/LLM tooling, preferably Claude Code Prompt design and evaluating AI output quality Clear written communication and documentation skills Prior experience in a regulated environment such ...

The AI Enablement Team is the catalyst for internal transformation and product acceleration across Actian. In the modern data landscape, AI is not a siloed experimental lab; it is a core capability that must be ...

A leading software company in Cambridge is seeking a Machine Learning Research Engineer to research cutting-edge machine learning concepts. This role requires a Ph.D. in a related field and a strong background in NLP ...

AVEVA is creating software trusted by over 90% of leading industrial companies. Position: Senior Software Engineer, AI ServicesLocation: Cambridge, United Kingdom (hybrid)Employment Type: Full-Time The job We are looking for passionate and seasoned ...

firmware, UI, product) to identify high-impact opportunities for AI-driven automation and intelligent tooling Stay at the forefront of agentic AI research — including LLM orchestration, RAG, function calling, and autonomous code generation — and bring those advances into our platform Mentor engineers across the team on AI-first development practices … scalable applications in production environments Strong software engineering foundation with a track record of shipping reliable, performant systems at scale Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development ...