22 of 22 Prompt Engineering Jobs in Berkshire

Job Title: Prompt Engineer/AI Engineer Location: London About GIMO: Global Interactive Marketing Online (GIMO) Global Interactive Marketing Online (GIMO) is a London-based leading independent marketing agency and software developer within the iGaming industry. GIMO works in close partnership with leading global gaming brands such as NetBet, 777, and betFIRST. About Netbet Brand: Since 2006, NetBet has … line with the rules and regulations of each jurisdiction and that players receive the best possible service. Role Overview: We are seeking an innovative and detail-oriented mid-level Prompt Engineer & AI Engineer to enhance our AI-driven applications. This role is crucial for designing, testing, and refining the prompts that power our large language models (LLMs) and for … Design, build, test, and refine high-quality prompts to steer LLMs toward desired outputs and behaviors for key business applications. Conduct thorough analysis of model responses and perform iterative prompt engineering to improve accuracy, tone, and overall performance. Develop, test, and maintain Python scripts and applications, particularly within collaborative platforms like Replit, to support AI systems and streamline More ❯

that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software Solutions You'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You'll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI/ML Engineer, you will: Build & Deploy AI-Driven Software Solutions You'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You'll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software Solutions You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You’ll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history 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 … 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 ❯

Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java … experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g. … MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. More ❯

experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience … deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested More ❯

with cloud platforms and services, such as Azure, AWS and GCP . Excellent communication, collaboration, and stakeholder management skills. Certified in data science, AI, or cloud technologies. Expertise in prompt engineering . Desirable Prior experience with ethical AI practices and data privacy is highly desirable. Deliverables: Responsibilities but not limited to: Coding particular Dev Ops stipulated user stories. 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 ❯

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 ❯

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 ❯

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 ❯

with LLMs Prototyping and iterating to demonstrate business value quickly Advising on best practices for responsible AI adoption Candidate Profile Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering Hands-on integration with tools such as LangChain, LlamaIndex, or similar Proficiency in Python or JavaScript for building prototypes and integrations Familiarity with automation platforms (UiPath, Power More ❯

Change Software Forever QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity. Duku AI is ending that era. We’re building autonomous agents that think like engineers: they run every critical user journey, catch failures before users do, and self-heal as the codebase evolves. Real AI teammates, not test scripts that break … re Looking For Relentless drive: You execute fast, adapt faster Startup scar tissue : You’ve shipped product with no safety net Fluency with AI/LLMs : LangChain, vector stores, prompt engineering Full-stack firepower : Frontend, backend, infra, no silos Product obsession : You care more about outcomes than outputs Experimental instinct: You build → test → learn → repeat Ideal Background There 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 ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both 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 ❯

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 ❯

helping people focus on higher-value creative and strategic work. Backed by top-tier investors, we’ve experienced rapid growth over the past year and are now scaling our engineering team to power the next wave of innovation. Our culture values hands-on collaboration, experimentation, and fast iteration. We operate fully in-office from our Shoreditch HQ , where engineers … side to push the boundaries of what’s possible with AI. About the Position We’re hiring a Founding Fullstack Software Engineer who’s excited about blending solid product engineering with applied AI research. You’ll work closely with product and research teams to design, prototype, and launch intelligent automation tools and AI-driven products. This position offers a … with intuitive, user-focused interfaces. What You’ll Do Design, build, and iterate on fullstack systems that power AI-driven automation. Explore and evaluate new approaches in AI orchestration, prompt design, and model integration. Collaborate with product and design teams to improve user experience for technical and non-technical users. Contribute to team-wide learning through documentation, technical reviews More ❯