showcase high-impact AI opportunities, developing proof of concepts to validate feasibility and demonstrate real-world value. Explore, collect, clean, and prepare datasets for promptengineering, model training and evaluation (Data Engineering). Design and create robust data pipelines (Data Engineering). Develop, test and iterate … prompts to optimise performance across relevance, accuracy, consistency and other areas (PromptEngineering). Select, train, and fine-tune AI models based on need, leveraging appropriate techniques (e.g. LLMs, Retrieval-Augmented Generation (RAG), Vector Databases, Embeddings, Multi-modal AI, Agentic Workflows) (Model Development). Integrate and deploy scalable … track record leveraging Generative AI to build/enhance products with real user adoption. Experience in developing and fine-tuning Gen AI models, including promptengineering, model fine tuning and deployment. Knowledge and use of LLM and statistical evaluation techniques such as G-Eval, Bleu, Perplexity and/ More ❯
showcase high-impact AI opportunities, developing proof of concepts to validate feasibility and demonstrate real-world value. Explore, collect, clean, and prepare datasets for promptengineering, model training and evaluation (Data Engineering). Design and create robust data pipelines (Data Engineering). Develop, test and iterate … prompts to optimise performance across relevance, accuracy, consistency and other areas (PromptEngineering). Select, train, and fine-tune AI models based on need, leveraging appropriate techniques (e.g. LLMs, Retrieval-Augmented Generation (RAG), Vector Databases, Embeddings, Multi-modal AI, Agentic Workflows) (Model Development). Integrate and deploy scalable … track record leveraging Generative AI to build/enhance products with real user adoption. Experience in developing and fine-tuning Gen AI models, including promptengineering, model fine tuning and deployment. Knowledge and use of LLM and statistical evaluation techniques such as G-Eval, Bleu, Perplexity and/ More ❯
Role: Data Scientist – GenAI, Python, NLP, LLMs, & PromptEngineering Location: Remote Contract – 3-6 Months Rate - £450/Day Outside IR35 Job Overview: We are seeking a highly skilled and creative Data Scientist with deep expertise in Python programming , Natural Language Processing (NLP) , and Large Language Models (LLMs … . This role demands hands-on experience in promptengineering , designing intelligent conversational flows, managing context windows, and interfacing with APIs such as OpenAI’s Chat Completions API . The ideal candidate should be capable of designing, evaluating, and optimizing AI systems that generate high-quality, context-aware … long, multi-turn dialogues. Architect sequential, step-by-step task flows for complex LLM workflows. Evaluate and analyze AI-generated responses to iteratively improve prompt quality and outcome accuracy. Collaborate with product, design, and engineering teams to deploy and monitor LLM-based features. Conduct experiments and fine-tune More ❯
Role: Data Scientist – GenAI, Python, NLP, LLMs, & PromptEngineering Location: Remote Contract – 3-6 Months Rate - £450/Day Outside IR35 Job Overview: We are seeking a highly skilled and creative Data Scientist with deep expertise in Python programming , Natural Language Processing (NLP) , and Large Language Models (LLMs … . This role demands hands-on experience in promptengineering , designing intelligent conversational flows, managing context windows, and interfacing with APIs such as OpenAI’s Chat Completions API . The ideal candidate should be capable of designing, evaluating, and optimizing AI systems that generate high-quality, context-aware … long, multi-turn dialogues. Architect sequential, step-by-step task flows for complex LLM workflows. Evaluate and analyze AI-generated responses to iteratively improve prompt quality and outcome accuracy. Collaborate with product, design, and engineering teams to deploy and monitor LLM-based features. Conduct experiments and fine-tune More ❯
direction. Work across a family of apps, enabling real-time content optimisation and distribution. Collaborate with cross-functional partners and engineers to improve content promptengineering workflows. Provide recommendations on release strategies and help enhance scaled content across digital platforms. Opportunity to engage in GenAI promptengineering … Self-starter with strong attention to detail, proactive mindset, and the ability to juggle 2–3 projects at once. Familiarity with Sequel and GenAI promptengineering is a plus Day-to-Day Snapshot: Join working sessions with the team to review and improve content guidelines. Assess real-time More ❯
direction. Work across a family of apps, enabling real-time content optimisation and distribution. Collaborate with cross-functional partners and engineers to improve content promptengineering workflows. Provide recommendations on release strategies and help enhance scaled content across digital platforms. Opportunity to engage in GenAI promptengineering … Self-starter with strong attention to detail, proactive mindset, and the ability to juggle 2–3 projects at once. Familiarity with Sequel and GenAI promptengineering is a plus Day-to-Day Snapshot: Join working sessions with the team to review and improve content guidelines. Assess real-time More ❯
are a passionate and innovative problem-solver with a deep fascination for the potential of Large Language Models. You possess a strong understanding of promptengineering principles and are eager to experiment with cutting-edge techniques. You thrive in a fast-paced environment and are comfortable with the … Artificial Intelligence, or a related field. Proven experience in working with Large Language Models (LLMs) such as Gemini, LaMDA, or similar. Strong understanding of promptengineering principles and techniques. Excellent analytical and problem-solving skills, with a focus on evaluating LLM outputs. Proficiency in Python and experience with More ❯
frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with promptengineering, prompt tuning, and evaluation of generative model outputs. Experience working with healthcare or sensitive data (HIPAA/GDPR compliance awareness). More ❯
frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with promptengineering, prompt tuning, and evaluation of generative model outputs. Experience working with healthcare or sensitive data (HIPAA/GDPR compliance awareness). More ❯
automation opportunities Work with our account management team to identify and prioritise opportunities to add the most value to our customers Design and implement promptengineering solutions using our system, including: Data extraction from complex property leases and documents Workflow automation for a variety of intensive processes, like … from them. You're explicitly up for long hours, tight deadlines, and moments of heroism A good understanding of genAI fundamentals Semi-pro at promptengineering with a deep passion for it-you've got the bug If you can also tick off any of the below bonus … points (don't worry if it's some or none though!) Some software engineering experience-vibe level, not necessarily writing production code Start-up or scale-up experience-you know what it means to wear multiple hats Real estate, law, or other relevant industry expertise International experience or language More ❯
content Develop and maintain scalable content guidelines Collaborate with teams to improve user experience Analyse data and deliver actionable insights Support AI training and promptengineering initiatives Shifts: Mon-Fri, 9am-6pm Tue-Sat, 9am-6pm What You'll Bring: Experience in social media content strategy Excellent editorial … judgement and analytical skills Proficiency in Google Sheets/Excel Self-starter with strong organisational skills Bonus: Coding or promptengineering experience This role is open for a limited time. Next steps will be shared with shortlisted candidates ASAP. Due to the high volume of applicants, we may More ❯
product lifecycle. About the Job: As a member of the Capco Technology Delivery Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As an AI Engineer, you'll play an integral role using your experience and skills to contribute to the quality and implementation … to support complex, real-world tasks Create robust agentic workflows enabling AI agents to interact autonomously with data sources and external APIs using advanced promptengineering and retrieval-augmented generation (RAG) Fine-tune and optimize pre-trained large language models and multi-modal models for targeted use cases … and low latency in production. Implement distributed training and scalable MLOps pipelines for continuous model improvement Collaborate with cross-functional teams-research, product, and engineering-to embed AI capabilities into products and services Evaluate and select appropriate AI frameworks (e.g., LangChain, LlamaIndex) to integrate agent components seamlessly with enterprise More ❯
A bachelor's or master's degree or equivalent in computer science, Artificial Intelligence, or related field. Experience with large language models (LLMs) and prompt engineering. Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python More ❯
A bachelor's or master's degree or equivalent in computer science, Artificial Intelligence, or related field. Experience with large language models (LLMs) and prompt engineering. Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
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 promptengineering techniques. Proficient in version control, CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. More ❯
london, south east england, United Kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
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 promptengineering techniques. Proficient in version control, CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. More ❯
in GenAI technologies, including LLM fine-tuning and serving, and contribute to strategic initiatives. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in MLOps, DevOps, or related roles, focusing on ML and AI. Proven expertise in deploying and … team members Fluency in written and spoken English Preferred Qualifications: Experience with large-scale distributed training and fine-tuning of GenAI models. Familiarity with promptengineering and model optimization techniques. Contributions to open-source projects in the MLOps or GenAI space. Familiarity with PySpark for distributed data processing. More ❯
to be successful AI and Machine Learning: Experience integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, promptengineering and understanding to validate the quality of AI products. Full Stack/Backend: Proficiency in TypeScript, React, and Node.js with a solid More ❯
statistical models, machine learning) using modern data science tools (Notebooks, Clouds). Design and implementation of machine learning models, metrics, and application of feature engineering techniques applied to customer problems. Support pre-sales in business opportunities and the engineering teams in the implementation of production-ready solutions involving … models to help test hypotheses. Communicate findings effectively to an audience of engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics or other related quantitative areas. Advanced oral and written communication skills in English. Ability to understand mathematical models and algorithms … of the best frameworks for machine learning pipelines, data visualization, manipulation and transforming, models training and evaluation, and models deployment. Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning. Experience with Natural Language Processing (NLP and NLU). Experience using Generative AI systems More ❯
from Architecture, Product Management, and Operations to design, develop, test, and release features. Community Contributes to standards, patterns, and best practices that improve the engineering community. Provides perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements. Minimum Requirements … AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, PromptEngineering, DialogFlow, Python. Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) or Back More ❯
statistical models, machine learning) using modern data science tools (Notebooks, Cloud platforms). Design and implement machine learning models, develop metrics, and apply feature engineering techniques tailored to customer problems. Support pre-sales efforts and assist engineering teams in deploying production-ready machine learning solutions. Evaluate hypotheses and … segmentation, using machine learning models to test hypotheses. Communicate findings effectively to engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics, or related quantitative fields. Proficiency in English, both oral and written. Ability to understand and implement mathematical models and algorithms … progress updates to the team. Proficiency in Python or R, SQL, and relevant frameworks for machine learning, data visualization, and deployment. Experience with feature engineering and machine learning algorithms for Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Experience with Natural Language Processing (NLP and NLU). Experience More ❯
deployment of GenAI across Google is as easy and as fast as possible. Responsibilities Build the platform that incorporates fine-tuning, multi-agent systems, promptengineering, model optimization, etc. into the Google product development lifecycle. Develop and maintain our products, written in C++ and Python, conforms with Google 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 promptengineering 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Client Server
AI adoption, battery technology and other real world problems. As an AI Engineer you will develop backend code and APIs, with a focus on promptengineering 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 ❯
practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS 5+ years of building machine learning models or developing algorithms for business application experience Master's … degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Knowledge of programming languages such as C/C++, Python, Java or Perl Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences) PREFERRED … QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Working knowledge of generative AI and hands on experience in promptengineering, deploying and hosting Large Foundational Models Hands on experience building models with deep learning frameworks like Tensorflow More ❯
