1 to 25 of 29 Remote Prompt Engineering Jobs in London

LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research — we give … Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI More ❯

LLM-based applications in secure, production-ready environments Integrate front-end components with AI models and back-end logic to deliver seamless, end-to-end functionality Perform data and prompt engineering to optimize model performance and outputs Optimize applications for performance, scalability, and security Collaborate cross-functionally with engineering, product, and AI teams to deliver high-impact … databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with … LLM applications that deliver measurable business value Maintain low latency, high system uptime, and strong performance across APIs and AI services Drive fast, iterative collaboration across product, design, and engineering teams Continuously improve the platform through testing, research, and integration of modern AI and software practices Why Join Us? Join a mission-driven, high-growth AI startup shaping the More ❯

LLM-based applications in secure, production-ready environments Integrate front-end components with AI models and back-end logic to deliver seamless, end-to-end functionality Perform data and prompt engineering to optimize model performance and outputs Optimize applications for performance, scalability, and security Collaborate cross-functionally with engineering, product, and AI teams to deliver high-impact … databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with … LLM applications that deliver measurable business value Maintain low latency, high system uptime, and strong performance across APIs and AI services Drive fast, iterative collaboration across product, design, and engineering teams Continuously improve the platform through testing, research, and integration of modern AI and software practices Why Join Us? Join a mission-driven, high-growth AI startup shaping the More ❯

Advantage are recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies.They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to … be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted … with stakeholders, project managers, and architects to gather requirements, plan project scopes, and deliver projects within agreed timelines. Candidate Requirements Experience and understanding of modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. Strong knowledge of Python programming for developing and debugging AI models. Excellent communication skills and a collaborative mindset with the ability More ❯

Advantage are recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates … to be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI … with stakeholders, project managers, and architects to gather requirements, plan project scopes, and deliver projects within agreed timelines. Candidate Requirements Experience and understanding of modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. Strong knowledge of Python programming for developing and debugging AI models. Excellent communication skills and a collaborative mindset with the ability More ❯

skills in Python, JavaScript, or similar languages. LLM & Agent Expertise: Hands-on experience with LLMs (OpenAI, Anthropic, Mistral) and agent frameworks. Advanced Tools: Familiarity with vector databases, RAG pipelines, prompt engineering, REST APIs, cloud deployment, and containerization (Docker/Kubernetes). Domain Knowledge: Experience in one or more business domains such as finance, housing, operations, or customer service. More ❯

to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … Hybrid working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering , and More ❯

to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … Hybrid working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering , and More ❯

to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … Hybrid working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering , and More ❯

to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … Hybrid working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering , and More ❯

data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you … need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering More ❯

data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you … need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering More ❯

data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you … need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering More ❯

data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you … need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering More ❯

LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed … 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, FastAPI More ❯

a Product Manager and Developers to organise and deliver work effectively. Contributing to decisions on application design, testing strategies, and technical direction, including Generative AI solutions involving RAG and prompt engineering. Maintaining documentation and Agile project processes. Assisting with new feature development in sentiment analysis, data ingestion, and synthetic audience creation. As a member of the Disability Confident Scheme More ❯

mixed ability. Bonus points for: Experience with NLP/LLMs, Computer Vision or Generative AI Formal teaching qualification or EPA assessor experience Hands-on exposure to responsible AI or prompt engineering Why join? You'll be part of a mission-driven organisation known for making cutting-edge technology understandable and exciting. Learning culture: Dedicated learning calendar and quarterly More ❯

business reports and dashboards Create ad-hoc reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI-generated responses for accuracy More ❯

business reports and dashboards Create ad-hoc reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI-generated responses for accuracy More ❯

business reports and dashboards Create ad-hoc reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI-generated responses for accuracy More ❯

business reports and dashboards Create ad-hoc reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI-generated responses for accuracy More ❯

As a Product Manager at The Stepstone Group, youll collaborate closely with other Product Managers, Product Directors, Designers, Researchers, Data Scientists and Analysts, and in partnership with our Software Engineering teams, deliver products that contribute significantly to our company mission: make successful hires happen. You will be part of a team that has a 'user first' approach and consequently … building and scaling up high traffic products. 2+ years working on technology-powered products as a Product Manager. Demonstrated ability to learn multiple functional areas of business e.g marketing, engineering, design, finance, sales, etc. AI-Specific Requirements:? We are looking for Product Managers that are also Product Builders: you have hands-on experience building user experience- or data- product … are proficient in at least one of the following areas: User-centric AI : hands-on experience with prototyping user experiences using platforms like Figma, Lovable or similar. Comfortable with prompt engineering and AI workflow design. AI assisted coding: experience with prototyping backend data products via assisted code writing, using agents or integrations like Claude Code, Cursor, Copilot, etc. More ❯

with excellent communication and stakeholder engagement skills. Strong understanding of Microsoft 365 and related technologies. Familiarity with AI tools such as Azure AI Services, large language models (LLMs), or prompt engineering (desirable). Customer-focused mindset with the ability to deliver solutions that drive measurable business value. Clear and persuasive presentation skills, with the confidence to work directly More ❯

with excellent communication and stakeholder engagement skills. Strong understanding of Microsoft 365 and related technologies. Familiarity with AI tools such as Azure AI Services, large language models (LLMs), or prompt engineering (desirable). Customer-focused mindset with the ability to deliver solutions that drive measurable business value. Clear and persuasive presentation skills, with the confidence to work directly More ❯

collaborate closely with product owners, asset designers, instructional designers and contractors to develop materials to support both synchronous and asynchronous learning, ranging from two year apprenticeships in AI Product Engineering to training for short burst skills training for first time managers. They should be fascinated by the potential for AI to make learning personalised, whilst recognising the need for … defining how the new content will be delivered and used. Influence and manage cross-functional teams. Apply advanced communication strategies to build consensus and secure buy-in from product, engineering, and delivery teams to ensure the end-to-end learning product is harmonised with the AI-driven approach. What you'll bring: Curriculum Design Expertise: Significant experience applying backward … AI and workflow automation tools. The ability to translate pedagogical rules into a technical rule set that can be executed by an AI machine. Solid understanding and application of prompt engineering principles for effective interaction with AI models. Project Management: Honed skills in leading content development teams, managing risks and time, developing schemes of work, and ensuring learning More ❯