8 of 8 Part-Time Prompt Engineering Jobs in the City of London

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 ❯

Fully remote within the UK, with hybrid options in London. Open annual leave policy Company socials Responsibilities Design, fine-tune, and optimize transformer-based LLMs and multimodal models. Implement prompt engineering, instruction tuning, and RLHF for high-quality outputs. Apply model compression, quantization, and distillation for low-latency inference. Develop multi-step reasoning agents and autonomous workflows powered … on GPUs/TPUs using DeepSpeed, Ray, or Horovod. Implement mixed-precision training, model sharding, and checkpointing strategies for high-performance inference. Requirements 5+ years in AI/ML engineering or applied research, with deep experience in LLMs, generative AI, or autonomous AI agents. Strong programming skills in Python, PyTorch, TensorFlow, or JAX. Hands-on experience with agentic AI 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 ❯

Python and SQL, with frameworks such as Streamlit and FastAPI, plus cloud orchestration Build reusable components and templates to accelerate future delivery Integrate LLMs into production use cases, including prompt engineering, RAG pipelines and agentic patterns where appropriate Work directly with investment professionals, turn ambiguous asks into scoped problems, and iterate in short sprints Lead hands-on sessions 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 ❯

with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track record of delivering ML projects from idea production with measurable impact. Deep hands … on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isnt just another job - its a chance to be the Principal Engineer More ❯

systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to optimise ad performance and bidding logic Applying modern LLM techniques from prompt engineering to retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What theyre looking for: 13 years experience in … applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why youll love it: Real More ❯

end helping people focus on higher-value creative and strategic work. Backed by top-tier investors, weve 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 … work side-by-side to push the boundaries of whats possible with AI. About the Position Were hiring a Founding Fullstack Software Engineer whos excited about blending solid product engineering with applied AI research. Youll work closely with product and research teams to design, prototype, and launch intelligent automation tools and AI-driven products. This position offers a front … intelligence with intuitive, user-focused interfaces. What Youll 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 ❯