1 to 25 of 167 Google Jobs in London

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 ❯

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 ❯

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 ❯

helping the organisation become truly data-driven. What you’ll do as the Data Analyst: Develop and maintain Power BI dashboards and reports from multiple sources (SQL Server, Excel, Google Analytics, finance & grant systems). Write and optimise SQL queries to ensure accuracy and integrity of data. Champion best practice in data governance, security, and reporting processes. Present insights and More ❯

time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

personal engineering standards. You lead by example rather than authority. Nice to have Experience with Redis and Celery. Experience scaling multi-tenant SaaS applications. Experience with cloud platforms. (AWS, Google Cloud or Azure). Knowledge of containerisation (Docker or Kubernetes) Familiarity with SOC 2 readiness and security best practices. Experience with observability and monitoring. Background in fintech, lending or other More ❯

skills in Python Experience with AWS or GCP Demonstrated experience and responsibility with data, processes, and building ETL pipelines. Experience with cloud data warehouses such as Amazon Redshift, and Google BigQuery. Building visualizations using tools such as Looker studio or equivalent Experience in designing ETL/ELT solutions, preferably using tools like Airflow or AWS Glue Solid analytical and technical More ❯

Core skills, knowledge and experience required Audio and video processing - Understanding of audio and video processing principles Virtualisation & Cloud Computing - proficiency with virtualisation and cloud computing eg AWS, Azure, Google Cloud platforms. Multiplexing - Proficiency in encoding and multiplexing technologies Diagnostic tools - Proficiency in diagnostic engineering tools and software Analytical and technical problem-solving skills to diagnose and resolve technical issues More ❯

Mesh, Data Fabric, Data Lake etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands-on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps-centric approach Security - having worked in sensitive data environments and ideally have experience facing off to cyber More ❯

and identify automation opportunities. Skills & Experience: Proven experience developing digital or media-focused technology solutions. Strong programming skills (JavaScript, TypeScript, Python, or similar). Experience with cloud platforms (preferably Google Cloud Platform) and serverless architecture. Advanced SQL and data warehousing skills (e.g. BigQuery). Familiarity with front-end frameworks such as React. Experience with ETL/ELT processes and data More ❯

ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with agile development and CI/CD processes Strong understanding of Git/GitHub workflows and DevOps tooling More ❯

A self-starter with an analytical mindset and ability to work autonomously. Experience with Digital/Social Media Data and APIs. Knowledge of Salesforce Sales/Marketing Cloud or Google Analytics. Background in BI tool migration/implementation. What you'll get in return Enjoy hybrid working (one day a week in the office) 25 days holiday (+ bank holidays More ❯

Design and build complex, full-stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich data More ❯

of Tableau is a plus. A resilient work ethic, adaptability, and the ability to think on your feet in dynamic situations. Experience with enterprise digital analytics tools such as Google Analytics or Adobe Analytics. A bachelor's degree in marketing, applied science, statistics, mathematics, economics, or e-commerce. Fluency in English (written and verbal). Impact You'll Make: What More ❯

and AI workflows based on Azure cloud and Databricks. Apply Generative AI techniques for text, code, image, and multimodal use cases. Utilise agentic frameworks such as LangChain, LangGraph, MCP, Google ADK or similar Build solutions for LLM fine-tuning, RAG, and multi-agent AI workflows. Build Python based solutions using key data science and ML libraries (Pandas, NumPy, Scikit-learn More ❯

no flexibility) We're working with a major UK retail group that's rapidly expanding its brand portfolio and investing heavily in digital transformation. They've recently migrated to Google Cloud Platform and are continuing to build out a robust Analytics function. As part of this growth, they're hiring a Senior Digital Product Analyst to join their Product Analytics More ❯

Product Adoption Define and track key performance indicators (KPIs) for AI enabled products, including accuracy, fairness, and user satisfaction Essential Experience: Relevant professional certification or equivalent experience (Microsoft, ITIL, Google analytics, PowerBI, etc) Experience in a Product analyst role with face-to-face support. Experience working with visualisation Software PRINCE2 Foundation or AGILE certification (desireable) Familiarity with Analytics tools AI More ❯

in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are an equal opportunities employer and welcome applications from all suitably More ❯

applications that accelerate drug discovery and enable personalised therapies. The ideal candidate will have strong Python backend development experience, preferably with FastAPI, and be proficient in cloud-native infrastructure (Google Cloud preferred), DevOps practices, and automated testing. While a background in life sciences is a plus, a passion for improving healthcare through technology is essential. The role involves integrating AI More ❯

in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are an equal opportunities employer and welcome applications from all suitably More ❯

warehouses (BigQuery, Snowflake, Redshift, etc.). Skilled in dashboarding tools (Looker, Power BI, etc.). Comfortable working with Marketing/User Acquisition teams. Understanding of advertising platform constraints (Meta, Google, mobile tracking). Excellent stakeholder communication and ability to work autonomously. Interest in data science concepts (e.g., LTV modelling). Why apply? Fully remote, flexible working. Broad remit with real More ❯

version control and building CI/CD/release pipelines. Data Fundamentals: Excellent SQL skills. Nice-to-Have/Desirable Skills DevOps/CICD (Pipeline experience) GCP (Familiarity with Google Cloud Platform) Data Science (Good understanding of math/model fundamentals for optimisation) Familiarity with low-latency data stores (e.g., CosmosDB ). If you have the capability to bring MLOps More ❯

ROI. Candidate Profile 2-4 years' experience in analytics (digital, marketing or consultancy background desirable). Strong SQL and Python skills, with a good grounding in statistics. Experience with Google Analytics or Adobe Analytics. Hands-on dashboarding experience (Looker Studio, Tableau or similar). Comfortable working directly with clients and explaining insights to non-technical stakeholders. 2:1 degree or More ❯

strategy to suit and integrate a wide range of technology/marketing platforms.* Strong project management skills.* An ability to work under tight deadlines.* Experience in analytical tools including Google Analytics and Power BI.* Excellent communication and organisation skills.* An acute eye for detail.* Strong commercial awareness and trading focus.* Have an understanding of segmentation and personalisation and how these More ❯