20 of 20 Remote Prompt Engineering Jobs in the UK excluding London

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 ❯

computing, 5G communications, automotive, aerospace industrial and health. Job Title: Sr Principal Software Engineer Location: Cambridge, United Kingdom OR Cork, Ireland Reports to: Software Engineering Group Director Job Overview: We are seeking a Sr Principal Software Engineer (Team Lead) to join our team responsible for developing and maintaining AI … future of Cadence's innovative solutions. Job Responsibilities: Lead and mentor a team of software engineers working on infrastructure that supports, for example, inference, prompt engineering, fine-tuning, and model quantization. Collaborate with product managers and cross-functional teams to deliver software systems and libraries to deliver AI … technologies in AI and machine learning. Foster an environment of continuous learning, innovation, and technical excellence. Job Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming More ❯

consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. Job Title: Software Engineer II Location: Cambridge, United Kingdom OR Cork, Ireland Reports to: Engineering Group Director Job Overview: We are seeking a Junior Software Engineer to join our team responsible for developing and maintaining AI infrastructure across Cadence … helping to shape the future of Cadence's innovative solutions. Job Responsibilities: Contribute to the development of AI infrastructure that supports, for example, inference, prompt engineering, fine-tuning, and model quantization. Assist in developing software systems and libraries to deliver AI-driven functionality across the whole Cadence organization. … technologies in AI and machine learning. Document technical processes and developments for knowledge sharing across teams. Job Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming More ❯

for senior business stakeholders, translating business needs into technical requirements. Manage and mentor a team of AI/ML engineers, fostering innovation and best engineering practices. Architect and implement scalable AI agent systems leveraging LLMs, RAG, reinforcement learning, and autonomous decision-making. Ensure seamless integration of AI agents with … enterprise applications and existing tech stacks. Drive experimentation, rapid prototyping, and iterative development of AI-driven solutions. Requirements Extensive experience in software engineering, including leading AI/ML initiatives. Expertise in LLM-driven architectures, prompt engineering, and fine-tuning. Strong hands-on experience with AI frameworks like … AI infrastructure. Excellent stakeholder management and communication skills. Ability to work cross-functionally with product managers, engineers, and business leaders. Experience leading and mentoring engineering teams. Strong problem-solving and decision-making skills. Benefits 34 days holiday plus your birthday off (inclusive of bank holidays) Share options - we believe More ❯

a dent in the universe bigger than ourselves. About the role At Matillion, we're redefining what's possible in the world of data engineering by embedding cutting-edge AI into every layer of our platform. Our Data Science team-part of the Product organisation-is dedicated to two … language inputs. Advance AI Evaluation : Evolve our testing frameworks to better measure quality, reliability, and usability of generative outputs. Drive Real Impact : Collaborate with engineering teams to expand the reach of AI features and prepare for AI-to-AI interaction scenarios. Explore & Innovate : Stay ahead of research trends and … a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI API. Prompt-Savvy : Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems. Experimentation First : Experience (or interest) in fine-tuning, instruction More ❯

Document processes and methodologies to support knowledge sharing and transparency, reproducibility, and knowledge sharing across teams. What You Need A degree in Computer Science, Engineering, Statistics, or a related field (Master's or Ph.D. preferred but not essential). Strong understanding of machine learning algorithms and NLP techniques, with … TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced NLP methods, including Prompt Engineering, Parameter-Efficient Fine-Tuning (PEFT), and Direct Preference Optimization (DPO). Strong problem-solving skills and the ability to work independently or More ❯

skilled Python and AI Engineer to help drive this transformation—both by developing new capabilities and maintaining existing systems. This is a hands-on engineering role where you’ll work across the full software lifecycle—from development and deployment to ongoing optimisation and support. You’ll join a collaborative … closely with data engineers, analysts, and product teams to align technology with business needs. Contribute to architectural planning, code reviews, and ongoing improvements to engineering practices. Ensure alignment with cybersecurity, data privacy, and governance standards. Technical Skills: 5+ years of experience in software engineering, including 3+ years of … SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in version control, CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. More ❯

in the Nottingham area , with regular in-office collaboration. Salary: £60,000 - £75,000 The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal … ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and system behaviour Contribute to system architecture and infrastructure for scale, observability, and performance Explore and implement LLMs, prompt engineering, and AI orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade More ❯

assess the best fit: AI Stack: Python, SQL, mathematics and statistics essential Generative AI & LLMs: Designing and fine‑tuning foundation‑model solutions; RAG patterns; prompt‑engineering & evaluation MLOps/LLMOps: CI/CD for models, feature stores, experiment tracking (MLflow, SageMaker, Azure ML, Vertex, etc.) Cloud‑Native Delivery … Building scalable AI pipelines on AWS or Azure; Terraform/IaC familiarity Python Excellence: Clean, testable code; performance optimisation; packaging & dependency management Data Engineering for AI: Streaming & batch pipelines (Spark/Databricks), vector databases, metadata & lineage Leadership: Proven experience guiding multi‑disciplinary teams and influencing C‑suite stakeholders Nice 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 ❯

fast, iterate, and make an impact. Key Responsibilities: Own end-to-end product features across frontend and backend Collaborate with design, product, and legal engineering to deliver polished, AI-native workflows Help architect and evolve our codebase for performance, scale, and developer experience Contribute to shaping engineering practices … its best practices-and you love helping define them. Bonus: Experience working on internal legal tools, legal ops software, or compliance platforms. Curiosity around prompt engineering, user intent modeling, or AI reasoning is also a plus. More ❯

centric MarTech demand generation experience preferably within an industrial global software company AI Tool Mastery Deep hands-on experience with LLMs (e.g., ChatGPT, Claude), prompt engineering, and generative content platforms. Data Orientation Comfort with SQL, Python or low-code/no-code ML for building and evaluating predictive More ❯

in Microsoft Azure Data & AI solutions. You’ll play a pivotal role in leading the design, development, and delivery of advanced analytics and data engineering solutions, while also driving client engagement and contributing to the strategic growth of the consultancy. You’ll be a trusted advisor to clients and … this role will be hands on technical work during the first 1-2 years of this role! Professional Skills Required Strong expertise in data engineering, modelling, and real-time data pipelines. Proficiency in tools such as Azure Data Factory, Synapse, SQL, Databricks, Power BI, Microsoft Fabric. Programming experience with … understanding of cloud data architecture, governance, and performance optimisation. Business domain knowledge across at least two industries (e.g. finance, retail, healthcare). Familiarity with prompt engineering and emerging AI/ML frameworks is a plus. Excellent client-facing communication, leadership, and delivery skills. Leadership & Commercial Focus Lead project 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 ❯

NestJS, Prisma, PostgreSQL Experience with Azure Proven background working in startup environments Nice-to-Haves: Experience scaling infrastructure for growth Familiarity with LLMs or prompt engineering Why This Role Stands Out Be part of a meaningful, mission-driven product Hybrid working flexibility in a central London location Competitive 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 ❯

Data Scraping Proficiency: Utilise platforms such as Clay for AI lead enrichment, data scraping, and campaign creation to maximise ROI. Leverage AI models and prompt engineering to enhance campaign targeting and messaging. Key Performance Indicators (KPIs): Positive Replies: Weekly/Monthly targets. Meetings Booked: Monthly/Quarterly targets. More ❯

Data Scraping Proficiency: Utilise platforms such as Clay for AI lead enrichment, data scraping, and campaign creation to maximise ROI. Leverage AI models and prompt engineering to enhance campaign targeting and messaging. Key Performance Indicators (KPIs): Positive Replies: Weekly/Monthly targets. Meetings Booked: Monthly/Quarterly targets. More ❯

Hybrid) Salary: £100,000–£120,000 Overview Join our London team as an AI Solution Engineer and drive impactful client solutions! Blend your software engineering expertise with AI prompt design and client project ownership. Collaborate with a small, dynamic team, mentor mid-level engineers, and align cutting-edge … level team members to success. Collaboration: Work with product teams to design solutions and manage tasks. Skills & Qualifications Strong coding skills; experience with AI prompt engineering. Ability to understand client needs and manage delivery. Proven mentorship and project ownership. Strong communicator, team player, and problem-solver. London-based or More ❯