23 of 23 Prompt Engineering Jobs in the South East

direction. Work across a family of apps, enabling real-time content optimisation and distribution. Collaborate with cross-functional partners and engineers to improve content prompt engineering workflows. Provide recommendations on release strategies and help enhance scaled content across digital platforms. Opportunity to engage in GenAI prompt engineering … Self-starter with strong attention to detail, proactive mindset, and the ability to juggle 2–3 projects at once. Familiarity with Sequel and GenAI prompt engineering is a plus Day-to-Day Snapshot: Join working sessions with the team to review and improve content guidelines. Assess real-time More ❯

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 … 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 More ❯

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. … 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 More ❯

frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs. Experience working with healthcare or sensitive data (HIPAA/GDPR compliance awareness). More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. • Data Management & Integration: Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development. Help integrate AI models with existing data pipelines and systems, ensuring … such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake. • Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. • Familiarity with AI/ML algorithms and model deployment in cloud environments. • Experience with version control tools (e.g., Git), and … but significant experience in designing and deploying AI/ML solutions, please consider applying • Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus. To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile More ❯

AI adoption, battery technology and other real world problems. As an AI Engineer you will develop backend code and APIs, with a focus on prompt engineering and LLMs, collaborating with the Technical Architect to develop robust and highly performant solutions. You'll work alongside a talented team contributing … skills You are a passionate technologist, keep up to date with the latest innovations and learn new things You have solid knowledge of software engineering principles, Agile practices, CI/CD and ideally have experience within a cloud environment (AWS preferred) You are a bright, proactive individual and a More ❯

and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using … and testing AI models before full-scale deployment. Skills & experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity … Ability to balance long-term AI research with short-term business impact. Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & culture At Zellis we create AI-enabled HR, workforce management and payroll products More ❯

for data modelling, integration, and automation Hands-on experience with APIs and tools like Postman Familiarity with AI technologies including LLMs, AI agents, and prompt engineering for enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data More ❯

for data modelling, integration, and automation Hands-on experience with APIs and tools like Postman Familiarity with AI technologies including LLMs, AI agents, and prompt engineering for enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data More ❯

minimum experience preferably) • Strong programming skills in Python • Expertise with SQL databases, cloud equivalent such as Amazon RDS(PostgreSQL, MySQL) • Experience utilizing LLMs and prompt engineering • Familiarity with GenAI services and frameworks such as AWS Bedrock, LangGraph • Familiarity with RAG Pipeline and Vector database • Design and develop RESTful … solving skills with the ability to quickly process complex information and present it clearly and simply. • Provide technical excellence (whilst adhering to Agile software engineering practices such as DRY, TDD, CI) and leadership/mentorship. • Wanting to unleash their inner self-starter and work in an environment that fosters More ❯

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 AI-enhanced problem-solving . The nice-to-haves Experience in full-stack development (Node.js, Next.js, 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 . … product development, enterprise apps, or high-growth startups . 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 More ❯

for an AI Engineer to help lead the application of artificial intelligence across the business. This person will explore and implement AI tools—from prompt design to agent building and predictive models—to improve newsroom workflows, support commercial teams, and drive product innovation. Working at the intersection of editorial … the business and its audience. Responsibilities AI Tool Development : Build and test intelligent systems to enhance editorial efficiency, commercial performance, and user-facing features. Prompt Design & Testing : Experiment with generative AI to support summarisation, content recommendations, and workflow improvements. Agent-Led Automation : Develop AI-powered systems that can automate … explore how emerging technologies can push boundaries in digital media. Key Skills Solid experience developing and deploying AI/ML solutions Familiarity with LLMs, prompt engineering, and generative AI use cases Hands-on experience with AI agent frameworks and automation Strong communication skills and cross-functional collaboration experience More ❯

for an AI Engineer to help lead the application of artificial intelligence across the business. This person will explore and implement AI tools—from prompt design to agent building and predictive models—to improve newsroom workflows, support commercial teams, and drive product innovation. Working at the intersection of editorial … the business and its audience. Responsibilities AI Tool Development : Build and test intelligent systems to enhance editorial efficiency, commercial performance, and user-facing features. Prompt Design & Testing : Experiment with generative AI to support summarisation, content recommendations, and workflow improvements. Agent-Led Automation : Develop AI-powered systems that can automate … explore how emerging technologies can push boundaries in digital media. Key Skills Solid experience developing and deploying AI/ML solutions Familiarity with LLMs, prompt engineering, and generative AI use cases Hands-on experience with AI agent frameworks and automation Strong communication skills and cross-functional collaboration experience More ❯

roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or … Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. … market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. We lead transformation at the heart of our clients; re-engineering the core of our clients' organisations, helping to unleash growth, and creating better futures for their customers, citizens and employees. Our hybrid working policy More ❯

developing and optimising production-grade AI systems, particularly with transformer-based architectures Impeccable history of academic achievement within secondary education Proven track record in prompt engineering for complex use cases, with demonstrable examples of novel applications that pushed boundaries Deep expertise in fine-tuning and optimising multi-LLM More ❯

an AI-first platform, enabling foundation models like Gemini Pro to analyze multimodal data at scale. You'll work closely with the founders and engineering leadership to design robust, high-performance architectures that drive AI adoption at enterprise levels. Responsibilities Architect and scale backend systems for multi-tenant AI … Haskell, etc.). Cloud infrastructure expertise (AWS, Terraform) with experience at scale. Deep understanding of distributed systems, orchestration, and observability. Knowledge of GenAI and prompt engineering is a plus. Passion for early-stage startups, small-team collaboration, and a customer-centric mindset. Perks & Benefits Top 15% equity options More ❯

and company culture Enjoy the freedom and challenge of working across the stack, from intuitive UX and robust API design to AI architectures and prompt engineering Believe AI is fundamentally reshaping the world - and want to be part of it Sound like your kind of adventure? Let’s More ❯

project workflows Strong command of data tools (Google Sheets, Excel) Additional fluency in Spanish, Portuguese, or Hindi is required Bonus: Experience with coding or prompt engineering Next steps to apply: Apply now with word document CV for immediate review. The CV deadline is Monday 28th of April do More ❯

role in shaping the roadmap, feature development, and user experience of our GenAI-powered legal solutions. You’ll collaborate with cross-functional partners across engineering, design, legal SMEs, and go-to-market teams—including close coordination with Product Marketing— to bring transformative legal tech products to life. Key Responsibilities … strategies align with product capabilities. AI-Driven Innovation • Design and validate GenAI-driven features for legal workflows including drafting, summarization, and search. • Collaborate with engineering to apply agentic frameworks and adaptive logic in product experiences. • Identify and test new applications of AI/ML that enhance legal productivity, insight … grooming, and day-to-day product execution with agile squads. • Write clear user stories and product requirements that enable rapid iteration. • Coordinate closely with engineering and QA to ensure timely, high-quality product releases. • Leverage formal frameworks such as Lean Product Management to guide decision-making and iteration. • Manage More ❯