solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and largelanguagemodel (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and … product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state-of-the-art NLP methodologies and largelanguagemodel approaches to drive product innovation and develop new functionalities. LLM Agents & Multi-Agent Systems: Design, develop, and deploy LLM agents and multi-agent systems to automate complex legal workflows … to non-technical stakeholders. Proactivity & Continuous Improvement: Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems. LLM Agents & Multi-Agent Systems: Proven experience in designing, deploying, and scaling largelanguagemodel (LLM) agents and multi-agent systems to enhance NLP capabilities and automate complex workflows. Nice to More ❯
learning frameworks (e.g. TensorFlow, PyTorch). Proficiency in programming languages such as Python, SQL and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Experience with LLM application design and deployment. Strong software engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn More ❯
BigQuery Desirable Skills Familiarity with MLOps, model monitoring, and production deployment Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus Hands-on experience with LLM stacks (e.g., Mistral, LangChain, Chroma, Hugging Face Transformers) Interest in staying current with AI trends and contributing to internal R&D or innovation initiatives Additional Information Publicis Groupe operates a More ❯
metrics to evaluate and guide the improvement of existing ML solutions Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and large-scale data workflow orchestration platforms ( Airflow) to build software artifacts for ETL, integrating diverse data formats and storage technologies, and incorporate them into robust data More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret More ❯
in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret More ❯
internal and client projects. You will be involved in: Applying data science best practices and standards across projects. Assisting in the design and implementation of Generative AI applications, including LLM workflows, RAG architectures, and prompt engineering. Collaborating with stakeholders to identify opportunities where GenAI can streamline tasks, automate insights, or improve decision-making. Gathering, processing, and managing data from disparate More ❯
cases in the context of intelligent file protection and the broader cybersecurity landscape. Validate feasibility with stakeholders, ensuring solutions are viable without reliance on cloud-based AI inferencing or LLM endpoints. Gather and elicit model requirements from defined use cases to enable agile development, rapid feedback loops, and continuous iteration across the delivery lifecycle. Collaboration with Data Science and Engineering More ❯
guiding us to deliver impact how and where it mattersmost . Connect to your opportunity Key Responsibilities: Solution Architecture: Define and design end-to-end AI/ML/LLM solution architectures, encompassing data ingestion, processing, model training, deployment, and monitoring. Technical Leadership: Provide technical guidance and mentorship to AI project teams, ensuring the adoption of best practices and the More ❯
AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Bring your deep-dive software engineering expertise Thrive in a results-driven environment, where flexibility fuels impact Be a game More ❯
understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and Initiatives Include: 25 days annual leave in addition to bank holidays - increasing by one additional day after 6 years, up to a maximum More ❯
SaaS and/or platform companies, including 5+ years in AI and data-intensive environments Proven track record of launching enterprise capabilities leveraging AI/ML workflows including modern LLM, SLM, LAM, Reasoning, Multi-Modal based generative approaches Experience designing and scaling data platforms (batch and real-time), data pipelines, and systems that power enterprise-grade AI solutions; preferably leveraging More ❯
Docker, Infrastructure as Code(CloudFormation, Terraform), CI/CD (Jenkins,GitHub Actions), Observability(AWS, Grafana) Development tools: GitHub, Jira, Notion, ChatGPT,Gemini,LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. WHAT WE OFFER YOU A front-row seat in a fast scaling, early stage startup. Working on cutting edge problems withbrand new technologies. Join a passionate and More ❯
providing insights and recommendations on platform strategy and execution. Proactively identifying, managing, and communicating platform level risks and issues. Define and implement best practices for AI/ML/LLM operations. Drive automation and cost efficiency across cloud resources. Ensure platform governance, compliance, security and data privacy. Lead Platform Proofs of Concept (PoCs) and evaluate emerging technologies. Champion collaboration across More ❯
Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which More ❯
Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys,LargeLanguage Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid working or a remote position in the UK, Poland or More ❯
effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, LargeLanguage Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid or a remote position in the UK, Poland or Portugal. More ❯
models that run on limited hardware to complex multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in largelanguagemodel architectures and substantial experience in fine-tuning optimization. You will adopt a hands-on, research-driven approach to developing, testing, and implementing new fine-tuning techniques and algorithms. Your More ❯
Excellent communication skills, adept at making measurement engaging, accessible, and actionable for diverse audiences; measurement storytelling. Experience in B2B marketing analytics and marketing intelligence, or B2B consulting Experience with LLM, Gen-AI techniques Experience with CRM platform technology and data structures Experience working directly with engineering and technical teams Experience using python, SQL or similar querying language Suggested Skills Stakeholder More ❯
Azure and AWS. A self-starter who takes ownership, enjoys learning and sharing knowledge, and has a practical, down-to-earth approach. Nice to have Experience testing AI/LLM-based solutions, including model accuracy, correctness, and performance validation. Familiarity with Azure OpenAI Service, AWS Bedrock, or similar AI platforms. Experience testing OfficeJS applications or add-ins. Background in the More ❯
Infrastructure as Code (CloudFormation, Terraform), CI/CD (Jenkins, GitHub Actions), Observability (AWS, Grafana). Development tools: GitHub, Jira, Notion, ChatGPT, Gemini, LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. Test automation: Cypress (E2E), Postman (API), Jest (frontend unit), PHPUnit (backend unit), JUnit (Android), XCTest (iOS). WHAT WE OFFER YOU A front-row seat in a More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Omnis Partners
frameworks LoRA fine-tuning, RLHF, or vLLM AWS (SageMaker, EKS), Docker, or speech-to-text systems 🌟 What You Get: 100% remote role (UK or Spain) Work on real-world LLM deployments in an agile, experimental environment £1,000 annual L&D budget + optional Spanish/English classes 25 days holiday, birthday off, and wellness day A culture that values More ❯
frameworks LoRA fine-tuning, RLHF, or vLLM AWS (SageMaker, EKS), Docker, or speech-to-text systems 🌟 What You Get: 100% remote role (UK or Spain) Work on real-world LLM deployments in an agile, experimental environment £1,000 annual L&D budget + optional Spanish/English classes 25 days holiday, birthday off, and wellness day A culture that values More ❯
C-level executives. D esirable ("nice to have") Skills: Experience with programming, databases, and IoT security. Exposure to CI/CD security, Docker/container security, and AI/LLM testing. Hands-on experience with Red Teaming tools (e.g., Cobalt Strike) and social engineering. Familiarity with bug bounty platforms and vulnerability disclosure best practices. Benefits: Competitive salary with regular performance More ❯
financial setting. Key Responsibilities: Design and develop modern, responsive front-end applications from the ground up using React, TypeScript, and Next.js. Build secure, performant user interfaces that integrate with LLM APIs (e.g., Gemini, Azure OpenAI) and internal systems. Implement advanced front-end security features, including token handling, session management, data masking, and audit logging. Translate UX/UI designs into More ❯