1 to 25 of 616 Google Jobs in England

at meetups, workshops, or industry conferences. Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM application frameworks. Cloud or AI/ML certifications (e.g., AWS Machine Learning Specialty, Google Professional Data Engineer, Azure AI Engineer) are a plus. Benefits Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for More ❯

for reproducibility, experimentation, and responsible AI. Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus. Benefits Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for More ❯

TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract We are seeking two AI Solutions More ❯

and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up More ❯

with SQL, Blazor & Blazor patterns, SignalR, Azure DevOps, PowerShell, Python, MAUI. Experience with database technologies (e.g., MSSQL, MySQL, MongoDB) and ORM frameworks. Experience with cloud services (e.g., Azure, AWS, Google Cloud) and deployment strategies. Hold a full UK Driving Licence with access to your own vehicle. Desirable: Familiarity with containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform). Experience in More ❯

start ups. You have a keen interest the latest in Gen AI and LLMs, algorithms, and technologies (e.g., NLP, computer vision, predictive analytics). Experience with cloud platforms (AWS, Google Cloud, Azure) and experience with microservices, containerisation (Docker, Kubernetes), DevOps and CI/CD pipelines. You have hands on experience with Python, React, Typescript, Kubernetes. Excellent problem solving skills, with More ❯

field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch More ❯

AI/ML Exposure to the open source stack Experience in price modelling techniques Experience in managing a small data team and mentoring Some exposure to behavioural data (eg Google or Adobe analytics) Benefits At Interpath, our people lie at the heart of our business. That's why we provide employees with a competitive and comprehensive reward package including compelling More ❯

to the modern data stack tools (e.g. Snowflake, Databricks). Experience managing P&L, setting go to market strategy or building consulting practices. Exposure to behavioural data sources (eg Google or Adobe analytics). Benefits At Interpath, our people lie at the heart of our business. That's why we provide employees with a competitive and comprehensive reward package including More ❯

AI/ML. Exposure to the open source stack. Experience in price modelling techniques. Experience in managing a small data team and mentoring. Some exposure to behavioural data (eg Google or Adobe analytics). Benefits Benefits At Interpath, our people lie at the heart of our business. That's why we provide employees with a competitive and comprehensive reward package More ❯

scientists, platform engineers, and developers to ensure seamless integration and scalable, production-grade machine learning solutions.You'll be joining an award-winning team, recognised for its pioneering collaboration with Google to deliver the market's first AI-enhanced lead underwriting solution, a milestone that reflects our commitment to innovation, impact, and excellence in applying machine learning to real-world insurance More ❯

Atlassian Suite (Confluence, Jira, Bitbucket) Strong agile background, keen to learn and succeed across multiple teams and adapt where required. Cloud experience and awareness in AWS, Microsoft Azure or Google Cloud Platforms Experience of designing, deploying and administering Linux or Unix based solutions would be advantageous e.g. using virtualisation, containerisation, Infrastructure as Code Experience with performance monitoring tools e.g. Elastic More ❯

Mistral Large, LLaMA 3, Cohere Command R+, DeepSeek Frameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAI Tools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, Humanloop Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Modal Infra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, Redis More ❯

Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model training and deployment. Data Skills: Expertise in data preprocessing, augmentation, and management of large datasets for training purposes. Problem-Solving: Strong analytical and problem-solving More ❯

predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation, and validation. Understanding of data governance principles around quality, security, and compliance. Personal Competencies Collaborative approach with More ❯

predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation, and validation. Understanding of data governance principles around quality, security, and compliance. Personal Competencies Collaborative approach with More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

the customer-focused experiences you create Technology Background Used at Love Finance Languages: Python, TypeScript/JavaScript (Node.js), Dart (Flutter), SQL/MySQL, JSON, REST, GraphQL Cloud and Data: Google Cloud Platform (BigQuery, Cloud Run, Firestore, Pub/Sub) DevOps and Tooling: GitHub, GitHub Actions, Terraform, Docker, Kubernetes Monitoring: Stackdriver, Grafana, Prometheus Security: OAuth2, SSO, IAM, ISO27001 alignment, penetration testing More ❯

Snowflake, Databricks). · Hands-on experience with data modelling tools, data warehousing, ETL processes, and data integration techniques. · Experience with at least one cloud data platform (e.g. AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). · Strong knowledge of data workflow solutions like Azure Data Factory, Apache NiFi, Apache Airflow etc · Good knowledge of stream and batch More ❯

work across teams and translate complex data into simple, actionable insights. Hands-on experience with Power BI and exposure to cloud data platforms like Azure Data Lake, AWS, or Google Cloud. Experience in utilities or financial services is preferred. Knowledge of collections and credit risk is advantageous. A degree (or equivalent experience) in a data-focused subject, with skills in More ❯

Generative AI techniques for text, code, image, and multi-modal use cases using advanced prompt engineering. Utilize modern GenAI toolkits and libraries, including: PyTorch LangChain, LangGraph, Model Context Protocol, Google's Agent Development Kit (ADK), and similar agentic frameworks. Develop experiments for LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent AI workflows . Deliver production-grade Python code More ❯

analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong knowledge of pricing, rebates, and margin analysis . Excellent More ❯

analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong knowledge of pricing, rebates, and margin analysis . Excellent More ❯

d love to hear from you. Apply today to learn more about this opportunity. Desired Skills and Experience Python, Node, Node.js, AWS, Amazon Web Services, Azure, Microsoft Azure, GCP, Google Cloud Platform, VP, VP of Engineering, CTO More ❯