176 to 200 of 210 Prompt Engineering Jobs in the UK

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 ❯

engineering. A detail-oriented mindset and strong problem-solving skills. Bonus Skills: Experience with big data tools (e.g., Hadoop , Spark ). Exposure to machine learning workflows . Understanding of prompt engineering concepts. Benefits: 25 days annual leave (plus bank holidays). An additional day of paid leave for your birthday (or Christmas eve). Salary sacrifice, matched employer More ❯

maintain flawless on-time delivery and service levels Strong communication abilities, especially in simplifying technical concepts for non-technical users and collaborating across teams Tech-curious mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing tools, or machine learning products 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 ❯

strategies to deploying production-ready solutions that change how businesses operate. As an Applied AI Solution Engineer , you’ll be at the heart of this transformation — combining hands-on engineering with strategic thinking to deliver world-class AI systems. What you’ll do: ✅ Build and deploy AI-powered systems using Python, microservices, distributed systems, and LLMs ✅ Shape AI strategies … stakeholders to bring clarity to complex AI concepts What we’re looking for: 💡 Proven experience delivering scalable, production-grade AI solutions 💡 Deep understanding of LLMs — fine-tuning, training, and prompt engineering 💡 Strong grasp of model optimization, evaluation, and cost management 💡 Expertise in solution architecture and enterprise software development 💡 Confident communicator with both technical and non-technical audiences 💡 Natural More ❯

have the following: • Experience: Minimum of 2 years in AI or automation engineering. • Proficiency with Pardot, Salesforce, Marketo, Hubspot or Klaviyo • Knowledge of language models, machine learning fundamentals, and prompt engineering. • Experience in API integration and implementing data privacy and security measures. • Skills: Strong analytical and problem-solving skills, excellent communication abilities, and a collaborative mindset. If you are More ❯

have the following: • Experience: Minimum of 2 years in AI or automation engineering. • Proficiency with Pardot, Salesforce, Marketo, Hubspot or Klaviyo • Knowledge of language models, machine learning fundamentals, and prompt engineering. • Experience in API integration and implementing data privacy and security measures. • Skills: Strong analytical and problem-solving skills, excellent communication abilities, and a collaborative mindset. If you are More ❯

of AI infrastructure. This isnt just about clean code or strong delivery - its about ownership, product intuition, and building for scale. Youll be part of a lean, high-calibre engineering function where every member contributes to planning, testing, analysis, and execution. What Youll Be Doing: Building and evolving APIs that serve as the backbone for internal systems and customer … systems Solid understanding of infrastructure-as-code and cloud orchestration (AWS, Terraform, Docker) Familiarity with queue management, observability tooling, and shipping in fast-paced environments Awareness of GenAI and prompt engineering, or a keen interest to develop expertise in this area A self-starter attitude, with a strong sense of product ownership and a passion for solving end … user challenges This is a unique opportunity to work on real-world applications of cutting-edge AI, contributing to a platform where engineering excellence and product thinking go hand-in-hand. If you're looking for a role with tangible impact and huge technical scope, wed love to hear from you. Reach out today to start the conversation. More ❯

join a well-established software house with a 6-year average tenure that genuinely values its Developers and is about to rebrand and transform into an AI-focused software engineering powerhouse. This pivotal role offers the opportunity to shape cutting-edge solutions while working on mission-critical systems for high-profile clients. **Your Impact:** You'll drive large-scale … data processing platforms handling millions of daily transactions, develop AI-driven applications, and contribute to our innovative portfolio, including prompt engineering and Salesforce integration projects. This position enables the hands on Technical Director to focus on strategic growth while you take ownership of day-to-day development excellence. A capable full-stack engineer with strong backend expertise, proficient More ❯

join a well-established software house with a 6-year average tenure that genuinely values its Developers and is about to rebrand and transform into an AI-focused software engineering powerhouse. This pivotal role offers the opportunity to shape cutting-edge solutions while working on mission-critical systems for high-profile clients. **Your Impact:** You'll drive large-scale … data processing platforms handling millions of daily transactions, develop AI-driven applications, and contribute to our innovative portfolio, including prompt engineering and Salesforce integration projects. This position enables the hands on Technical Director to focus on strategic growth while you take ownership of day-to-day development excellence. A capable full-stack engineer with strong backend expertise, proficient More ❯

and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and More ❯

and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and More ❯

and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and More ❯

and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and More ❯

and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and More ❯

the Jinna.ai web app using React (Vite) and TailwindCSS • Work closely with Supabase for backend, auth, and database logic • Integrate AI models (Gemini, OpenAI, etc.) into the product — from prompt engineering to prototype testing • Collaborate on product decisions, architecture, and UX flows • Contribute to a modular microservices/event-driven setup on GCP • Maintain clean Git/GitHub More ❯

the Jinna.ai web app using React (Vite) and TailwindCSS • Work closely with Supabase for backend, auth, and database logic • Integrate AI models (Gemini, OpenAI, etc.) into the product — from prompt engineering to prototype testing • Collaborate on product decisions, architecture, and UX flows • Contribute to a modular microservices/event-driven setup on GCP • Maintain clean Git/GitHub More ❯

AI Engineer/Machine Learning Specialist with Data Engineering Experience Outside IR35 and Fully Remote - £300 per day - 6 Month Contract Intially Candidates can be base anywhere in the UK We are seeking a technically strong AI Engineer or Machine Learning Specialist to join a dynamic team working on cutting-edge Gen AI and data science initiatives. The ideal … will have hands-on experience in developing and deploying machine learning models, working with large datasets, and applying AI techniques to solve real-world problems. A background in data engineering is highly advantageous, enabling the candidate to contribute across multiple areas of the project lifecycle. Key Responsibilities Design, build, and deploy machine learning models and Gen AI solutions to … maintain data pipelines and infrastructure to support model training, evaluation, and deployment. Apply best practices in model performance tuning, validation, and monitoring. Contribute to cross-functional projects, leveraging data engineering skills to support data ingestion, transformation, and integration. Stay current with advancements in AI, ML, and Gen AI technologies, and evaluate their applicability to ongoing initiatives. Ideal Candidate Strong More ❯

challenges and deliver measurable impact. Key Responsibilities Design, build, and deploy Python-based AI and ML applications . Research and develop new Generative AI techniques, including fine-tuning and prompt engineering. Develop and maintain LLM-assisted frameworks and automation pipelines. Write clean, maintainable, and well-documented code for scalable deployment. Build and implement testing and evaluation frameworks for AI … Proven experience working with Azure cloud services and Generative AI R&D. Strong understanding of machine learning, data modelling , and natural language processing (NLP) techniques. Experience with fine-tuning , prompt orchestration , and retrieval methods (RAG, knowledge graphs). Familiarity with frameworks such as LangGraph , Azure AI Foundry Agents , and Semantic Kernel Agents . Good understanding of software engineering More ❯

efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯