51 to 75 of 121 Prompt Engineering Jobs in the UK excluding London

libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI More ❯

libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI More ❯

Python and SQL, with frameworks such as Streamlit and FastAPI, plus cloud orchestration Build reusable components and templates to accelerate future delivery Integrate LLMs into production use cases, including prompt engineering, RAG pipelines and agentic patterns where appropriate Work directly with investment professionals, turn ambiguous asks into scoped problems, and iterate in short sprints Lead hands-on sessions More ❯

Python and SQL, with frameworks such as Streamlit and FastAPI, plus cloud orchestration Build reusable components and templates to accelerate future delivery Integrate LLMs into production use cases, including prompt engineering, RAG pipelines and agentic patterns where appropriate Work directly with investment professionals, turn ambiguous asks into scoped problems, and iterate in short sprints Lead hands-on sessions More ❯

to mentor junior team members, fostering a culture of continuous learning and innovation. Familiarity with LLM evaluation techniques, output scoring, and validation frameworks. Understanding of key concepts such as prompt engineering, RAG, model orchestration, and hallucination detection. Experience in testing for accuracy, relevance, and consistency of AI model predictions/generations. Defining performance metrics for AI services and More ❯

to mentor junior team members, fostering a culture of continuous learning and innovation. Familiarity with LLM evaluation techniques, output scoring, and validation frameworks. Understanding of key concepts such as prompt engineering, RAG, model orchestration, and hallucination detection. Experience in testing for accuracy, relevance, and consistency of AI model predictions/generations. Defining performance metrics for AI services and More ❯

Microsoft Fabric and modern data architecture. Familiarity with CI/CD and DevOps for data engineering. A detail-oriented mindset and strong problem-solving skills. Degree in Computer Science , Engineering , or a related field. Bonus Skills: Experience with big data tools (e.g., Hadoop , Spark ). Exposure to machine learning workflows . Understanding of prompt engineering concepts. Benefits More ❯

infrastructure Own technical risk management and ensure delivery success Key skills: Strong experience with Azure cloud services Proficiency in Terraform, PowerShell, Bash, or Python Expertise in generative AI, including prompt engineering and model optimisation (e.g. GPT, BERT) Deep knowledge of AI/ML deployment in secure, scalable environments Confident leading cross-functional teams and engaging senior stakeholders Nice … to-haves: MSc or PhD in Computer Science, AI, or Engineering Advanced certifications in AI/ML, cloud, or data engineering Please apply if interested More ❯

infrastructure Own technical risk management and ensure delivery success Key skills: Strong experience with Azure cloud services Proficiency in Terraform, PowerShell, Bash, or Python Expertise in generative AI, including prompt engineering and model optimisation (e.g. GPT, BERT) Deep knowledge of AI/ML deployment in secure, scalable environments Confident leading cross-functional teams and engaging senior stakeholders Nice … to-haves: MSc or PhD in Computer Science, AI, or Engineering Advanced certifications in AI/ML, cloud, or data engineering Please apply if interested More ❯

infrastructure Own technical risk management and ensure delivery success Key skills: Strong experience with Azure cloud services Proficiency in Terraform, PowerShell, Bash, or Python Expertise in generative AI, including prompt engineering and model optimisation (e.g. GPT, BERT) Deep knowledge of AI/ML deployment in secure, scalable environments Confident leading cross-functional teams and engaging senior stakeholders Nice … to-haves: MSc or PhD in Computer Science, AI, or Engineering Advanced certifications in AI/ML, cloud, or data engineering Please apply if interested 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 ❯

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 ❯

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 ❯

Azure AD, and integration services (e.g., Logic Apps, API Management). Strong knowledge of enterprise architecture, solution design, and system integration. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Desirable Certifications: Microsoft Certified: Azure Solutions Architect Expert Microsoft 365 Certified: Enterprise Administrator Expert TOGAF or other architecture frameworks (optional but valuable) Technical Skills: Expertise … Copilot Studio and building custom Copilot agents or plugins. Familiarity with REST APIs, JSON, OAuth, and integration patterns with enterprise systems (e.g., CRM, ERP, data lakes). Understanding of prompt engineering, grounding techniques, and responsible AI principles. Soft Skills: Strong communication and stakeholder engagement skills, with the ability to explain complex technical concepts to non-technical audiences. Proactive More ❯

with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track record of delivering ML projects from idea → production with measurable impact. Deep hands … on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isn’t just another job - it’s a chance to be the More ❯

with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track record of delivering ML projects from idea → production with measurable impact. Deep hands … on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isn’t just another job - it’s a chance to be the More ❯

experience leading large, enterprise data science functions. A strong track record of delivering production-grade AI/ML solutions and driving adoption at scale. Deep expertise in GenAI (LLMs, prompt engineering, RAG) as well as classical ML and experimentation. Hands-on knowledge of MLOps, cloud (AWS/Azure), and modern data science tools. Exceptional stakeholder skills - able to 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 ❯

and Machine Learning initiatives. What youll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest … LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. If you want to lead Machine Learning innovation from concept to More ❯

coding tools daily and has experience building applications with advanced technology under the hood . This is an opportunity to be part of a team that's pioneering modern engineering practices, from assisted coding workflows to intelligent automation in app development. If you're an engineer who is always experimenting with the latest tools and has a passion for … designers . A mindset of experimentation, automation, and AI-enhanced problem-solving . The nice-to-haves Experience in full-stack development , , or serverless architectures) . Familiarity with AI prompt engineering techniques . Experience with iOS/Android development (React Native, Swift, Kotlin) . Exposure to design systems and modular UI frameworks . Prior experience in SaaS product … development, enterprise apps, or high-growth startups . Why join us? At ASquared, we're building the next generation of digital products by embracing AI-first engineering . You'll work in an environment where AI isn't just a buzzword—it's deeply integrated into how we code, ship, and innovate. Flexible hybrid working (Tuesdays & Fridays in-office More ❯

Azure AI Engineer (Contract) to lead the design, development, and deployment of next-generation Agentic AI solutions built on Microsoft Azure AI Foundry . This is a hands-on engineering role, ideal for someone passionate about building secure, compliant, and scalable AI systems that drive real operational value. You’ll be part of a collaborative team shaping how AI … AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent communication skills and stakeholder collaboration experience. Desirable Microsoft Certified: Azure AI Engineer Associate . For More ❯

Azure AI Engineer (Contract) to lead the design, development, and deployment of next-generation Agentic AI solutions built on Microsoft Azure AI Foundry . This is a hands-on engineering role, ideal for someone passionate about building secure, compliant, and scalable AI systems that drive real operational value. You’ll be part of a collaborative team shaping how AI … AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent communication skills and stakeholder collaboration experience. Desirable Microsoft Certified: Azure AI Engineer Associate . For More ❯

Azure AI Engineer (Contract) to lead the design, development, and deployment of next-generation Agentic AI solutions built on Microsoft Azure AI Foundry . This is a hands-on engineering role, ideal for someone passionate about building secure, compliant, and scalable AI systems that drive real operational value. You’ll be part of a collaborative team shaping how AI … AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent communication skills and stakeholder collaboration experience. Desirable Microsoft Certified: Azure AI Engineer Associate . For More ❯

re partnering with a stealth-mode deep tech AI lab based in London that’s building foundation models from the ground up . This isn’t fine-tuning or prompt engineering, it’s genuine model pre-training, post-training, and large-scale systems research. The company secured substantial funding in early 2025 from top-tier institutional VCs and … Megatron, FSDP, or similar . Understanding of distributed training, parallelism strategies , and scaling laws . Familiarity with post-training methods (RLHF, RLAIF, DPO, or alignment optimisation). Solid software engineering fundamentals - version control, CI/CD, and production-grade model deployment. Experience working in cloud-native or high-performance compute environments (AWS, GCP, Docker, Kubernetes). A curiosity for More ❯

re partnering with a stealth-mode deep tech AI lab based in London that’s building foundation models from the ground up . This isn’t fine-tuning or prompt engineering, it’s genuine model pre-training, post-training, and large-scale systems research. The company secured substantial funding in early 2025 from top-tier institutional VCs and … Megatron, FSDP, or similar . Understanding of distributed training, parallelism strategies , and scaling laws . Familiarity with post-training methods (RLHF, RLAIF, DPO, or alignment optimisation). Solid software engineering fundamentals - version control, CI/CD, and production-grade model deployment. Experience working in cloud-native or high-performance compute environments (AWS, GCP, Docker, Kubernetes). A curiosity for More ❯