Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation Guide the technical direction for statistical modeling, NLP, computer vision, and LLM-based solutions where applicable Partner with engineering teams to ensure data science solutions are scalable, production-grade, and cost-efficient across cloud platforms Establish and enforce standards for model reproducibility … management skills, with the ability to influence decision-making across technical and non-technical teams Desirable skills Familiarity with real-time model serving, monitoring, and performance optimization Experience with LLM frameworks (e.g., LangChain, Hugging Face, Chroma, Mistral) and generative AI applications Domain expertise in areas like operations, personalization and marketing Passion for AI research, R&D, and exploring innovative applications More ❯
We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse, extract and generate knowledge from complex biomedical data such as experimental protocols More ❯
performance and stability. This role is ideal for a hands-on engineer who is passionate about building robust, scalable, and automated systems for machine learning, particularly for cutting-edge LLM-powered applications. What you'll be doing Design, build, and maintain our MLOps infrastructure, establishing best practices for CI/CD for machine learning, including model testing, versioning, and deployment. … Develop and manage scalable and automated pipelines for training, evaluating, and deploying machine learning models, with a specific focus on LLM-based systems. Implement robust monitoring and logging for models in production to track performance, drift, and data quality, ensuring system reliability and uptime. Collaborate with Data Scientists to containerize and productionize models and algorithms, including those involving RAG and … Amazon Bedrock is a significant plus. Strong familiarity with containerization (Docker) and orchestration (Kubernetes). Experience with Infrastructure as Code (e.g., Terraform, CloudFormation). Experience in deploying and managing LLM-powered features in production environments. Bonus : experience with monitoring tools (e.g., Prometheus, Grafana), agent orchestration, or legaltech domain knowledge. Working for Opus 2 Opus 2 is a global leader in More ❯
About us: We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated More ❯
About us: We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated More ❯
Senior Machine Learning Scientist - Search page is loaded Senior Machine Learning Scientist - Search Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 22 Days Ago job requisition id JR4886 Company Description Depop is More ❯
interest) and suggest proactive funding strategies Open-Banking & ERP Integrations: Securely connect to bank APIs and accounting platforms for seamless data ingestion AI-Driven Insights: Experiment with NLP/LLM features to automate anomaly detection, categorize transactions, and deliver contextual recommendations Skills and Experience Ownership Mindset: You own problems end to end, from customer needs to solution delivery Solid Engineering …/MySQL, and Redis. Microservices & DevOps : Solid grasp of microservices, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Jenkins) AI/ML Foundations : Familiarity (or eagerness to learn) LLM libraries, vector stores, and RAG paradigms Sector specific knowledge: Experience with financial data systems or forecasting models Communication & Collaboration : Skilled at articulating technical concepts, driving consensus, and working cross-functionally More ❯
Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing More ❯
The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making More ❯
Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. Its why were on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a More ❯
Company Description With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at the centre of all we do. More ❯
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our More ❯
recognition and search in videos and images; vision-language multimodal self-labeling and self-supervised learning; human-in-the-loop hard negative mining for model incremental learning; LLM (LargeLanguageModel) driven image data generation and data distribution augmentation; and uncertainty quantification for label noise minimization. WHAT YOU'LL NEED Minimum qualifications: PhD degree or equivalent algorithm testing and coding More ❯
Product Sprints: You're comfortable working in rapid, iterative cycles with weekly releases Prompt Engineering: Able to craft, test, and refine prompts for outputs like chat, image, or video LLM + Vector Tools: Experience with embeddings, Pinecone/Weaviate, and building RAG-style pipelines Why Join Magic Group? No red tape. Just build, launch, and scale A small, senior team More ❯
opportunity to join from the ground up, own key parts of the solution, and help shape the foundation of a technically ambitious product. Key Responsibilities: Design, optimise, and evolve LLM prompts for complex multi-agent reasoning workflows Translate structured and unstructured data into prompt-ready inputs and memory chains Implement prompt chaining, context injection, and result validation patterns Use vector More ❯
market while ensuring compliance and maintaining the highest standards of performance. Your Experience Must have: 4+ years of industry experience in applied ML with recent experience in AI/LLM systems Strong proficiency with Python, and familiarity with Scala, Go, or Rust Cloud platform expertise with AWS, GCP, or Azure, including AI-specific services (SageMaker, Vertex AI, Azure AI) Databricks … evaluation, and deployment across diverse AI workloads Orchestrate seamless deployment of models, AI agents, and inference endpoints with automated testing and rollback capabilities Build and maintain infrastructure for largelanguagemodel inference, fine-tuning, and serving at scale Implement comprehensive monitoring for model performance, drift detection, AI safety metrics, and responsible AI compliance Evolve operational processes to support both traditional More ❯
teams, building strong client relationships, providing technical guidance, ensuring successful project outcomes, consistently meeting deadlines, and budget constraints. You must have deep technical expertise in AI/ML/LLM, enterprise-grade architectural strategies, and a passion for solving complex business challenges. You'll also contribute to the growth of our practice, supporting business development efforts and staying abreast of … AI, contributing to Deloitte's thought leadership and knowledge sharing initiatives. Connect to your skills and professional experience Technical Proficiency: Proven experience delivering production-ready AI/ML/LLM solutions, including model training, optimization, and deployment. Specific project examples required. Generative AI expertise: Experience leading the delivery of AI and LLMs in the financial service industry including: Retrieval-Augmented More ❯
Senior ML Platform Engineer (London) - Artificial Intelligence Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We More ❯
Senior Machine Learning Scientist page is loaded Senior Machine Learning Scientist Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 10 Days Ago job requisition id JR4917 Company Description Depop is the community More ❯
Senior Machine Learning Scientist - Recommendations page is loaded Senior Machine Learning Scientist - Recommendations Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 22 Days Ago job requisition id JR4885 Company Description Depop is More ❯
Job description At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious start-up, youll work directly with our founder and a core team of talented … engineers to drive innovation. What Youll Do Design & Deploy production-grade LLM pipelines - from model training and evaluation through continuous monitoring and scaling. Build & Optimise AI models in Python: fine-tune state-of-the-art architectures on our in-house GPU cluster. Orchestrate Workflows with Apache Airflow: schedule, monitor, and maintain complex data and model pipelines. Engineer Cloud Services on More ❯
future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. In this role you will: Define and Deliver Customer … with teams and senior architects to define strategies for AI solutions, ensuring alignment with client needs for impactful and effective implementations. Shape AI strategy and oversee the delivery of LLM-based solutions that enhance customer and marketing outcomes. Lead Generative AI Innovation and Prototyping Architect early-stage generative AI initiatives, directing proof-of-concept (PoC) and prototype development in collaboration … and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment. Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices More ❯
AI Engineer (Python Specialist) Remote (UK-based preferred) Salary: Competitive + Benefits/Contract options available Start Date: Flexible About the Role We're hiring a remote AI Engineer with strong Python skills to help build intelligent systems across domains More ❯
Senior Marketing Data Analyst We are looking for a Senior Marketing Data Analyst in our Data team. As a Senior Marketing Data Analyst, you will be expected to develop in depth knowledge of Funding Circle's Marketing activities and products. More ❯
Ideas People Trust We're BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today's changing world. We work with the companies that are Britain's economic engine - ambitious, entrepreneurially-spirited More ❯
