76 to 100 of 215 Machine Learning Jobs in Central London

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

delivery of complex AI projects across global teams Mentor engineers and data scientists and drive best practice Key requirements Strong background in AI, machine learning or data science Deep experience with LLMs and modern GenAI frameworks Experience designing AI architectures such as RAG and agent-based systems Strong ...

these processes to link datasets, develop ETL pipelines and identify transactions of potential concern Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis. Has experience of using data visualisation tools such as PowerBI Has experience with general ledger/ ...

love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. ...

business stakeholders to accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery Design, build, and deploy production‐grade AI/ML solutions , including: LLM‐enabled applications (RAG, agents, copilots) Predictive models and intelligent automation AI services embedded into modernised platforms Own end‐to‐end AI lifecycle : discovery ...

security best practices, monitoring, and incident response. Familiarity with DevSecOps and compliance frameworks (ISO 27001, SOC 2, GDPR). Exposure to big data processing, ML pipelines, or simulation workflows. Bonus: Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; Experience with high-performance ...

enabled products and solutions using modern architectures including: LLM-based applications RAG pipelines AI orchestration layers agent-based systems Work closely with data scientists, ML engineers, and data engineers to move ideas from concept to implementation. Evangelism & Thought Leadership Act as an internal and external advocate for practical AI adoption … roles Strong understanding of generative AI ecosystems and large language models Exposure to modern AI architectures and system design Experience shaping or delivering AI, machine learning, or advanced analytics initiatives Ability to move from strategic conversation to practical implementation Strong communication and stakeholder engagement skills Technical Awareness Candidates ...

site selection event on 5 May 2026. Desired Skills and Experience: Experience with ReactJS. Familiarity with geospatial data science or remote sensing. Knowledge of machine learning techniques and automation workflows. Interest in energy markets, commodities trading or environmental analytics. Exposure to satellite imagery analysis, AI applications or alternative … your development. You’ll also benefit from: Full‐time, hands‐on experience working directly with one of our leading clients Access to the Udemy learning platform Ongoing support and regular check‐ins from the Aubay team The potential to be considered for a future direct role with the client ...

Knowledge of APIs, system integration, and microservices Client-facing experience or delivery-focused roles Strong problem-solving and communication skills Desirable: Exposure to AI, ML, or data platforms DevOps, CI/CD, or infrastructure as code experience Consulting or technical delivery background Location: UK Hybrid, with occasional client visits ...

across real assets, sustainability, and essential services . What you'll do Build and enhance our cloud platforms and data infrastructure Deploy AI/ML and GenAI solutions into production Drive automation and operational efficiency using AI and RPA Support development of client-facing digital platforms and dashboards Modernise systems ...

Knowledge of CI/CD, automated testing (TDD/BDD), and DevOps practices Cloud certifications (or equivalent hands-on experience) Exposure to AI/ML tools and techniques Key Skills: Cloud platforms (GCP preferred) Containers & serverless (Kubernetes, Docker, Functions) Data & analytics tools (SQL, distributed data systems) Languages: Java, Python, JavaScript ...

microservices, and backend systems. Solid understanding of software architecture, cloud infrastructure (AWS and/or Azure), and modern DevOps practices. Hands-on experience integrating ML models into production systems (LLMs via APIs, fine-tuning, RAG, embeddings, agents). Ability to move fast without compromising on code quality, testing, and operational ...

will define data models, storage patterns, pipelines, and governance frameworks that support machine learning and analytics. Working closely with data engineers and ML engineers, you will ensure data is well-structured, accessible, secure, and scalable for AI use cases. Key Responsibilities Design and maintain data models and schemas … multiple sources. Establish data governance, quality, security, privacy, and compliance standards. Implement metadata management and data lineage for transparency and traceability. Collaborate with data, ML, and analytics teams to deliver AI-ready datasets and features. Monitor, optimise, and scale data platforms for performance, cost efficiency, and growth. Required Qualifications Bachelors ...

Software Engineer (Python/Django) About the role: We are working with an early-stage, AI-driven technology company building advanced platforms that leverage machine learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly ...

communication between agents. Monitor, evaluate, and continuously improve agentic performance and reliability. Skills & Experience Essential: 3+ years in software engineering, AI engineering, or machine learning roles. Strong programming skills (Python preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks, prompt engineering ...

innovation and continuous learning. Communicating complex technical concepts clearly to non-technical stakeholders and project teams. Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment. ABOUT YOU We value people who can think analytically and creatively ...

Actions Work with Data Engineering team to implement robust and trustworthy data to support high-performance Kafka streams and predictive models Deploy and maintain machine learning models as APIs for use in our live environments Employ a variety of languages and tools (e.g. scripting languages) to develop ...

outcomes . Core Responsibilities Translate business requirements into Azure‐native AI solution architectures Design end‐to‐end architectures using Azure OpenAI, Azure AI Search, ML, data platforms, compute, networking, and identity Select and define architecture patterns (RAG, agentic workflows, streaming vs batch, hybrid approaches) Define non‐functional requirements : security, scalability ...

first stack including: Agent Frameworks: MCP (Model Context Protocol), agent-to-agent systems, emerging agent tooling Frontend: TypeScript, React, Next.js Backend: Python, Node.js Data & ML Platform: Databricks Infrastructure: AWS, Docker, Kubernetes Why This Role Build production AI systems at scale (not just experimentation) Work on agentic/LLM-first products ...

data pipelines and analytical tools (Pandas, NumPy, scikit‐learn). Build automated workflows to streamline data ingestion, validation, transformation, and reporting. Apply AI/ML techniques (forecasting, anomaly detection, NLP, classification models) to improve trading insight and operational processes. Support traders with real‐time and historical analysis of metals markets … making speed. Create dashboards, visual analytics, and data‐driven summaries for stakeholders across the business. Skills & Experience Required Strong proficiency in Python (Pandas, NumPy; ML frameworks beneficial). Experience building automated data workflows , pipelines, or ETL processes. Exposure to machine learning, AI, or advanced analytics (time‐series, anomaly ...

Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models ...

Market making, systematic execution, or electronic trading in energy or commodity derivatives Asian options, barrier structures, or path-dependent exotics common in commodity markets Machine learning applied to vol forecasting, regime detection, or execution cost optimisation Open-source quant library contributions, published research, or CQF/MFE/ ...

landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing teams. ...

across Europe (EMEA exposure essential) Ability to engage both technical and business stakeholders Excellent presentation and communication skills Highly Desirable: Exposure to AI/ML/data-driven platforms in financial services Knowledge of cloud architectures (AWS, Azure, GCP) Experience with modernisation/core transformation programmes Fluency in an additional ...

derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow and exotic products in one or more asset classes Strong programming skills (e.g. C++, Rust, Python) and familiarity with software development ...