1 to 25 of 139 Google Jobs in the City of London

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

Exposure to the insurance industry. * Experience with traditional data science techniques in Python. * Experience building solutions using generative AI (particularly Gemini). * Experience working with Azure and/or Google Cloud Platform (GCP). * Ability to understand and interpret technical design documents. * Strong communication skills, with the ability to work effectively with diverse stakeholders across disciplines. * Experience in Agile methodologies. More ❯

with business storytelling. Leadership and mentoring capability within cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure, or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree More ❯

. Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes, APIs, and database management. Experience with analytics tools (e.g., Google Analytics, Tableau, Power BI) and CRM systems. Familiarity with data privacy regulations (e.g., GDPR, CCPA) and best practices in data governance. Excellent problem-solving, communication, and project management skills. What 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 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender More ❯

PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender More ❯

and maintaining Python-based web applications. Generative AI & LLMs – understanding and working with large language models (LLM) and GenAI datasets. Also integrating ML into applications. Cloud infrastructure – experience with Google Cloud (Cloud Run preferred) and core web app infrastructure. DevOps tools – familiarity with Git/GitHub, CI/CD, and deployment practices - I wouldn't put that in search string More ❯

Senior Data Engineer (GCP BigQuery Python SQL) London/WFH to £85k Are you a tech savvy Data Engineer with Google Cloud expertise combined with client facing skills? You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role. As a Senior Data Engineer you More ❯

Basic qualifications: Demonstrated experience of Python backend development (e.g. using FastAPI) Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential Strong skills in Python Unit testing experience (e.g. pytest) Knowledge of agile practices and able to perform in More ❯

or advisory, preferably in private equity, financial services, or consulting. Strong knowledge of financial services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging More ❯

with FS clients. Deep understanding of financial services data ecosystems, including regulatory, operational, and technical aspects. Hands-on experience designing and implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn More ❯

issue tracking. Knowledge of CI/CD pipelines, version control systems (e.g., Git), automated testing at various levels (unit, integration, system). Experience with test libraries like Pytest or Google Test. Exposure to front-end stacks—HTML, CSS, JavaScript, TypeScript, Node.js—is a plus. Experience with AI-assisted development tools is advantageous. Additional Skills That Would Be Beneficial: Experience using More ❯

issue tracking. Knowledge of CI/CD pipelines, version control systems (e.g., Git), automated testing at various levels (unit, integration, system). Experience with test libraries like Pytest or Google Test. Exposure to front-end stacks—HTML, CSS, JavaScript, TypeScript, Node.js—is a plus. Experience with AI-assisted development tools is advantageous. Additional Skills That Would Be Beneficial: Experience using More ❯

Data Engineering experience including design and data modelling skills You have advanced SQL and NoSQL database knowledge You can code with Golang, Python or Scala You have experience with Google BigQuery You have a good knowledge of event-driven architectures and messaging systems (Pub/Sub, Kafka) You have experience of deploying and managing services in cloud environments, GCP preferred More ❯

A typical working day will involve a 20 minute catch up call to kick off the day, reviewing requirements and/or bug reports, coding, discussing over Slack and Google Hangouts, creating a Github PR, getting the PR reviewed and seeing your code get to production to make a difference for our clients. Overloop is a UK based company, and More ❯

Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the More ❯

Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the More ❯

re at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team of 40+ Researchers More ❯

re at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team of 40+ Researchers More ❯