1 to 25 of 1,054 Google Jobs in the UK

Strong expertise in SQL Server, Oracle, PostgreSQL, MySQL, or other enterprise databases. SQL is the main skill set we require. Experience in cloud database platforms (AWS RDS, Azure SQL, Google Cloud SQL). Hands-on experience with database performance tuning, security, and backup strategies. Knowledge of infrastructure technologies such as storage, networking, and containerized environments. Experience in database migration, automation More ❯

Proficiency in Python-including pandas, scikit learn, TensorFlow/PyTorch, LightGBM/XGBoost-and experience with SQL. Hands on experience with cloud ML platforms (AWS SageMaker, Azure ML, or Google AI Platform). Solid understanding of software engineering fundamentals: version control, code reviews, automated testing, and containerization. Familiarity with FX markets, risk management concepts, or financial forecasting. Excellent problem solving More ❯

Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, or Azure) with enthusiasm for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS More ❯

building data pipelines effectively Data Architecture – knowledge of data architecture, and must work with data architect to optimise solutions Cloud Computing - proficiency in cloud platforms like AWS, Azure, or Google Cloud is necessary to deploy and manage data solutions in the cloud More ❯

building data pipelines effectively Data Architecture – knowledge of data architecture, and must work with data architect to optimise solutions Cloud Computing - proficiency in cloud platforms like AWS, Azure, or Google Cloud is necessary to deploy and manage data solutions in the cloud More ❯

building data pipelines effectively Data Architecture – knowledge of data architecture, and must work with data architect to optimise solutions Cloud Computing - proficiency in cloud platforms like AWS, Azure, or Google Cloud is necessary to deploy and manage data solutions in the cloud More ❯

adaptable, and a willingness to handle constantly changing priorities with continued enthusiasm Azure certifications (e.g., Azure DevOps Engineer Expert, Azure Solutions Architect) Experience with other cloud platforms (e.g., AWS, Google Cloud) Knowledge of Agile methodologies and practices The Where and When This is a full-time role (35 hours per week) based in either our Manchester or Milton Keynes office. More ❯

relevant deep learning packages. GPU Computing Experience: Hands-on experience with effectively leveraging GPU hardware for training and inference. DevOps and Cloud Computing Proficiency: Experience with AWS, Azure, or Google Cloud Platform, Docker, Kubernetes, and CI/CD pipelines. Problem-Solving Skills: Strong analytical and problem-solving abilities. Communication and Leadership: Excellent communication skills and demonstrated leadership experience. Location/ More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages More ❯

and Spring boot Strong knowledge in one of Cassandra, Oracle, MS SQL and RDBMS database concepts Experience with distributed computing environments, cloud computing platforms (Amazon Web Services/AWS, Google Cloud, Microsoft Azure) and Kubernetes Strong programming skills in one of scripting languages: Groovy, BASH, Shell, Python GO Strong working knowledge of modern development technologies and tools such Agile, CI More ❯

automation, API-driven solutions, and creating user-centric experiences. Desirable Skills Experience with AI/ML integration for lead scoring or customer segmentation. Knowledge of additional cloud platforms (e.g., Google Cloud, Azure) or containerisation (Docker, Kubernetes). Familiarity with Ideal Postcodes API or similar geolocation services. Previous work with encrypted data pipelines in a regulated industry. Excellent package on offer More ❯

efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and More ❯

popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute More ❯

Prometheus, Grafana). Automation with Terraform, Ansible or similar. Programming in Python, Java, GoLang. Desirable Financial services or regulated industry experience. AWS/GCP certifications (e.g., AWS Solutions Architect, Google Professional Cloud Engineer). Knowledge of cryptography. If you are a skilled Senior Software Engineer with strong cloud, DevOps, and software development expertise, and youre looking for your next challenge More ❯