1 to 25 of 64 Prompt Engineering Jobs in the South East

record of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability More ❯

record of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability More ❯

record of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability More ❯

ML team as we scale beyond our seed round. ⸻ Key Responsibilities 1. Architecture & Hands-On Development • Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. • Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. • Productionize models in cloud/on-prem environments (AWS … learning models (e.g., CNNs, Transformers, graph neural networks) in real-world applications. • Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). • Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). • Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). … Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). • Leadership & Communication: • Proven ability to lead cross-functional teams in ambiguous startup settings. • Exceptional written and verbal communication skills—able to explain complex concepts to both technical and non-technical stakeholders. • Experience recruiting and mentoring engineers More ❯

etc Annual Leave 23 days rising to 27 with length of service Sick Pay Increasing with length of service The Role: Senior AI Engineer Overview of role AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support AI R&D efforts by applying advanced data warehousing, data science … and data engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives. Collaboration: Work in tandem with the AI Product Owner and other team members to create, curate, and maintain high-quality AI assets. Ensure alignment of data architecture and data models across different products and platforms. Hands-on Involvement … Engage in data engineering tasks as required to support the team and the projects. Conduct and own external data collection efforts - including state-of-the-art prompt engineering techniques to support the construction of state-of-the-art AI models. Stay up-to-date with new technologies and best practices in data engineering, advancements in generative More ❯

our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to hear from you! At 1st Central , we … too!). It's about bringing smart ideas to life and making a real impact. You'll be at the heart of our AI strategy - from initial concept and prompt design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data … can simplify processes, enhance experiences, or save time-and you know how to turn those ideas into working solutions. What's involved: Lead the design and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure OpenAI and Azure Cognitive Services More ❯

To build and run a data platform which can create and deliver analytics to colleagues and deliver regulatory reporting Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets To create a self service BI platform, enabling colleagues across Rentokil Initial to get value from data To build AI models and … a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support Rentokil's AI R&D efforts by applying advanced data warehousing, data science, and data … engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives. Collaboration: Work in tandem with the AI team to collect, create, curate, and maintain high-quality AI datasets. Ensure alignment of data architecture and data models across different products and platforms. Hands-on Involvement: Engage in data engineering tasks More ❯

Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based … non-technical stakeholders. Mandatory Qualifications & Skills Bachelor's or master's degree in Computer Science, AI, Data Science, or related fields . Expertise in large language models (LLMs) and prompt engineering for business applications. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep … understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms More ❯

new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Location: UK, Hook (Hybrid) Team: Software Engineering & Platforms Supervisor: IT Engineering Director Career Progression: Engineering, Architecture, Analyst Over the past 4 years Elanco IT has been on an incredibly exciting journey. Separating from our … opportunity to build a modern technology stack free of the burden of large-scale technical debt. We are now looking to take this one step further, leveraging newly established engineering capabilities to help Elanco deliver on customer needs faster than ever before. This role is part of our new enterprise platform engineering team with a specific focus on … implementations in Elanco. This is an incredibly exciting opportunity to not only work on cutting edge technology but to contribute to the continued growth of a new highly skilled engineering organization. To be successful in an engineering role in Elanco requires a highly motivated individual, with an innovative mindset and a willingness to drive tangible outcomes. The individual More ❯

or life sciences environment Deep understanding of the clinical trial lifecycle and operations (e.g., clinical operations, site monitoring). Strong technical fluency in AI/ML concepts, including, LLMs, prompt engineering, and agent orchestration Demonstrated ability to lead cross-functional teams and deliver products in regulated envioronments Excellend communication and stakeholder management skills Bonus Points: Advanced degree in More ❯

how AI is used across the business. Responsibilities Lead the development of GenAI solutions including LLMs, embeddings, and retrieval-based systems Design, build, and support internal platforms that help engineering teams adopt AI effectively Guide the adoption of classical machine learning models that address practical business problems Write high-quality, maintainable code in TypeScript and Python Drive excellence in … Coach and mentor junior engineers and contribute to the overall strategy of the AI platform What You Will Need Hands-on experience with Generative AI technologies such as LLMs, prompt engineering, and vector-based search Strong foundation in traditional ML techniques such as regression, classification, and clustering Proficiency in both TypeScript and Python for building robust applications and … architecture, including API-first design and service-oriented patterns Background in AI safety, model evaluation, or secure model deployment This role is for someone who can combine strong software engineering skills with deep AI knowledge to build products that drive impact. If that sounds like you, we would love to hear from you. More ❯

the future of marketing by rapidly translating strategic requirements into intelligent, scalable solutions. Key Responsibilities Solution Architecture: Design scalable, modular architectures for AI-driven marketing applications and microservices. Requirements Engineering: Gather, analyse, and translate business and marketing requirements into detailed technical specifications. AI-Assisted Development: Leverage AI coding tools (GitHub Copilot, GPT-driven tools) to rapidly prototype and develop … architectures, solutions, and systems. Continuous Learning: Stay abreast of evolving AI technologies and frameworks to maintain our competitive advantage. Required Skills & Experience 5+ years in solution architecture or software engineering, with strong proficiency in modern programming languages (Python, JavaScript, TypeScript, Java, Go). Proven experience with AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer) and integrating large language … and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need More ❯

building and iterating using AI-first coding environments (Cursor, VS Code Studio, Copilot, etc.). Solution Architecture: Design scalable, modular architectures for AI-driven marketing applications and microservices. Requirements Engineering: Translate business and marketing needs into detailed technical specifications. AI-Assisted Development: Rapidly prototype and develop applications using AI coding tools. Integration Framework: Implement and optimise Model Context Protocol … Documentation: Create comprehensive technical documentation for systems and solutions. Continuous Learning: Stay ahead of evolving AI technologies and frameworks. Required Skills & Experience 5+ years in solution architecture or software engineering, with strong proficiency in modern programming languages (Python, JavaScript, TypeScript, Java, Go). Proven experience with AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer) and integrating large language … and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need More ❯

building and iterating using AI-first coding environments (Cursor, VS Code Studio, Copilot, etc.). Solution Architecture: Design scalable, modular architectures for AI-driven marketing applications and microservices. Requirements Engineering: Translate business and marketing needs into detailed technical specifications. AI-Assisted Development: Rapidly prototype and develop applications using AI coding tools. Integration Framework: Implement and optimise Model Context Protocol … Documentation: Create comprehensive technical documentation for systems and solutions. Continuous Learning: Stay ahead of evolving AI technologies and frameworks. Required Skills & Experience 5+ years in solution architecture or software engineering, with strong proficiency in modern programming languages (Python, JavaScript, TypeScript, Java, Go). Proven experience with AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer) and integrating large language … and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need More ❯

intelligence and machine learning techniques: Proficiency in supervised/unsupervised/semi-supervised learning, neural networks, SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud architecture (Azure, AWS, or similar … application and talk to you about this job or others at Kantar. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Market Research Referrals increase your chances of interviewing at Kantar by 2x Get notified about new Senior Data Scientist jobs in Reading, England, United Kingdom More ❯

intelligence and machine learning techniques: Proficiency in supervised/unsupervised/semi-supervised learning, neural networks, SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud architecture (Azure, AWS, or similar More ❯

users to prototype AI-driven tools for research automation, portfolio construction, and decision support. This R&D-focused role involves experimenting with Python, LangGraph (or similar), vector databases, and prompt orchestration to explore possibilities—then handing off validated concepts to engineering teams for scaling. Open to data scientists or engineers with strong Python and AI experience. Comfortable working … to learn and engage with senior stakeholders is essential. Key experience includes: Python for AI/ML, automation, or backend work Hands-on experience with LLMs, agent frameworks, or prompt engineering Exposure to investment data or quick learning ability AWS (or similar cloud) and rapid prototyping mindset Front-end exposure (e.g., React) is a nice-to-have but More ❯

years of experience/exposure of AI-powered automation platforms, agentic AI, and enterprise search solutions. Job Description of Role* (RNR) Ideal candidate profile : • 1-3 years experience in prompt engineering for optimized AI interactions. • Min 1 year of exposure to NLP (Natural Language Processing) technologies. • 1-2 years of experience in AI adoption in corporate environments. … to introduce, train, and facilitate AI adoption, ensuring alignment with company goals. • GenAI Discussion & Support: Engage stakeholders in conversations about AI applications, benefits, and challenges, promoting informed decision-making. • Prompt Engineering & Optimization: Assist users in refining AI-generated prompts for improved relevance and business impact. • AI-Driven Process Automation: Collaborate with teams to develop and customize AI-powered More ❯

years of experience/exposure of AI-powered automation platforms, agentic AI, and enterprise search solutions. Job Description of Role* (RNR) Ideal candidate profile : • 1-3 years experience in prompt engineering for optimized AI interactions. • Min 1 year of exposure to NLP (Natural Language Processing) technologies. • 1-2 years of experience in AI adoption in corporate environments. … to introduce, train, and facilitate AI adoption, ensuring alignment with company goals. • GenAI Discussion & Support: Engage stakeholders in conversations about AI applications, benefits, and challenges, promoting informed decision-making. • Prompt Engineering & Optimization: Assist users in refining AI-generated prompts for improved relevance and business impact. • AI-Driven Process Automation: Collaborate with teams to develop and customize AI-powered More ❯

vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value. Requirements You We are looking for someone who is as excited … who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company. For this particular role, we need a proactive software engineering expert who is familiar with using AI tooling and prompt engineering, and who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills … in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if: Have strong Python and engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes Have an understanding More ❯

principles Proficiency in Python and SQL Curiosity, self-motivation, and a proactive approach to problem-solving Strong communication and teamwork skills Desirable Extras Familiarity with large language models and prompt engineering Experience presenting technical findings to senior teams Why Apply? Use your academic skills in a practical, business-focused environment Enjoy autonomy and flexibility in your approach to More ❯

Benifex Southampton, England, United Kingdom Join or sign in to find your next job Join to apply for the Engineering Manager role at Benifex Benifex Southampton, England, United Kingdom 2 days ago Be among the first 25 applicants Join to apply for the Engineering Manager role at Benifex Get AI-powered advice on this job and more exclusive … that’s where you come in. Why should you apply? People: play a pivotal role in nurturing and upskilling our talented engineers Impact: help us build a world class engineering culture and organisation where engineers can thrive and we build exceptional products Variety: a role that has a wide reaching level of influence across engineering culture, delivery, people … of each month! ️ Private Medical Insurance (Bupa) Role Overview On our mission to power how the world delivers exceptional employee experience we are investing heavily in our Product and Engineering organisation. This year we will be adding further squads and leadership roles to give us the foundations to scale our products globally. We are seeking a talented Engineering More ❯

in development cycles, research discussions, and cross-functional knowledge-sharing sessions. Required Qualifications Bachelor's or Master’s degree in a quantitative discipline (e.g., Computer Science, Finance, Economics, Statistics, Engineering). 3+ years of professional experience in Data Science or Quantitative roles within finance. Proficiency in Python and SQL with exp. in data processing libraries such as pandas/… pipelines and workflows. Excellent problem-solving skills and the ability to communicate complex ideas clearly to both technical and non-technical audiences. Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, or other NLP methodologies. Strong curiosity and motivation to explore new technologies and methodologies in data science and AI Strong understanding of macroeconomics, financial markets, and investment More ❯

linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and Python. Familiarity with large language models and prompt engineering would be beneficial. Self-educating, curious and pragmatic, solution-oriented mind-set. More ❯

linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and Python. Familiarity with large language models and prompt engineering would be beneficial. Self-educating, curious and pragmatic, solution-oriented mind-set. Participates as a team member, creating effective and professional working relationships with colleagues across multiple More ❯