876 to 900 of 2,927 Machine Learning Jobs in London

strong track record of hands-on execution and delivery in complex data environments. Deep practical understanding of the database ecosystems that power AI and machine learning infrastructure (e.g., Vector databases, NoSQL, and Document stores). Hands-on experience building, scaling, and shipping large-scale data platforms in production. ...

. Advanced knowledge of software applications and technical processes with considerable in‐depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Ability to tackle design and functionality problems independently with little to no oversight. Experience in Computer Science, Computer Engineering ...

Engineering, Building Engineering, Data Science, Artificial Intelligence, or a related discipline. You will have experience in BIM and digital construction, digital twins, AI and machine learning, cloud computing, IoT integration, or data analytics and visualisation, together with strong programming skills in Python, JavaScript, C#, or similar languages. ...

seeking an experienced Data Science consultant to join our Digital & Data team. The role involves advanced analytics and machine learning to support data‐centric decision making in public and private sector organisations. Responsibilities Work to agile best practices and collaborate cross‐functionally with multiple teams and stakeholders, applying ...

strongly preferred, whether thats Wealth Management, Banking, Insurance or another regulated financial organisation. Where AI fits You dont need to be an AI or Machine Learning Engineer. The business is increasing its investment in AI, including Azure AI Foundry, and wants its engineers to become increasingly comfortable using ...

engineers on safe, compliant adoption within delivery practices. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Practical experience in cloud computing. Knowledge of network protocols and technologies such as TCP/IP, DNS, DHCP ...

mitigating security risk in a dynamic, global Agile environment alongside innovative colleagues. Be part of an exciting role evolution from data scientist and machine learning engineer to AI engineer. Your Impact Data Architecture: Develop and implement data architecture to store, process, analyze, and visualize large, high-volume datasets. ...

Payments, FinTech, or digital assets domain knowledge. Workflow automation (n8n, Zapier, or similar) and reverse ETL. Not required Data engineering, data science, streaming infrastructure, machine learning, or software engineering. Background 4+ years in analytics engineering or a comparable role. Degree subject matters far less than how you reason. ...

Comfortable working in regulated data environments with sensitive personal and litigation data. Excellent stakeholder management and communication skills. Desirable Experience Exposure to predictive analytics, machine learning operationalisation or AI platforms. Experience working with Dynamics CRM, case management platforms such as VisualFiles, and finance systems such as Elite ...

tech stack, moving forwards. Depending on the candidate’s interests, there will be room to work with our other developers on the application of machine learning tools to extract and model data (e.g. PyTorch, TensorFlow). Minimum Qualifications We are looking for a candidate with at least ...

prompting. An understanding of point in time data is a strong plus Also desirable: experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant or similar); machine learning experience (PyTorch, TensorFlow, XGBoost/LightGBM) for building, maintaining and extending existing models; Bloomberg API integration to Python; data science/statistics ...

build scalable infrastructure while creating seamless developer experiences? Here at Neo4j, we are building a high-performance cloud platform for graph algorithms and machine learning to help the world make sense of data—from detecting financial fraud and driving real-time recommendations to powering cutting-edge knowledge graphs. ...

months) hands‐on delivery of LLM-based/generative AI solutions Relevant cloud or AI certifications desirable (e.g. Azure AI Engineer Associate, AWS Certified Machine Learning – Specialty) Experience contributing to technical architecture and vendor decisions, ideally within logistics, supply chain or a similar fast‐paced sector Comfortable taking ...

work collaboratively in a team environment. Ability to communicate complex ideas effectively, both verbally and in writing A strong software engineering background with machine learning expertise to understand how the user facing product will tie into backend and architectural decisions Nice to Have Experience with FHIR ...

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. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about ...

tests or feature rollouts Have worked with a behavioural analytics tool such as Mixpanel, Amplitude or GA4 alongside a data warehouse Have experience with machine learning models, including understanding how their performance and accuracy are evaluated The hiring process: (All interviews are held remotely) Initial chat with hiring ...

advanced analytics solutions into production. Strong Financial Services experience across banking, insurance or capital markets. Technical credibility across data engineering, data platforms, ML or Generative AI. Experience leading and developing high-performing technical/consulting teams. Strong consulting and commercial experience, including business development and selling work. Experience engaging senior ...

Startup Mindset: Proactive, resourceful and comfortable taking ownership in a fast-moving engineering environment. Bonus : with Apache Airflow, real-time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial-market systems. Benefits An Ambitious, Collaborative Culture: Join a close-knit team with the pace, openness and shared ...

Experience delivering Agentic AI or RAG-based enterprise solutions Familiarity with regulated environments and security-driven designs GCP Professional certifications (Cloud Architect, Data Engineer, ML Engineer) Gemini Agent Development or Deployment skill badges #J-18808-Ljbffr ...

familiarity with CI/CD and source control best practice. Desirable : More Data Science leaning background or want to explore in this role: ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture ...

development SQL, databases & data platforms Data pipelines & ETL/ELT APIs & backend engineering CI/CD & production systems Analytics & modern data platforms AI/ML and emerging AI technologies It's a strong opportunity for someone early in their career who wants to develop into a well-rounded Full Stack ...

code quality tools (e.g., SonarQube) Experience working on public sector or accessible digital services Strong communication and stakeholder collaboration skills Exposure to AI/ML-enabled development, including LLMs, context and guardrails‐style validation/testing, and model deployment/maintenance concepts Strong communication skills and ability to work effectively ...

architecture reviews. Knowledge of AI security, prompt engineering, guardrails, and reliability engineering practices. Relevant cloud and AI certifications (Google Cloud, Kubernetes, Generative AI, or ML certifications). Due to the volume of applications received, unfortunately we cannot respond to everyone. If you do not hear back from us within ...

Tech Lead level, with the ability to be both highly technical and an effective people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience ...

with solution architecture, including creating architecture diagrams, data models, and technical specifications. Broad technical knowledge across analytics platforms, data engineering tools, and AI/ML technologies. Tool-agnostic mindset with ability to evaluate and recommend appropriate technologies for specific use cases. Excellent communication skills, with ability to explain complex technical ...