376 to 400 of 3,407 Remote Artificial Intelligence Jobs

university Ideal/Bonus Experience in data science, analytics, or engineering (or ability to work closely with technical teams) Familiarity with early-stage or high-growth startups Interest in AI/ML and emerging technology landscapes Experience preparing materials for board meetings, investors, or commercial partners Experience supporting fundraising or M&A processes Offer Competitive salary Employee stock options in More ❯

Ready to contribute to help and build our growing story? As a Databricks Engineer you will be involved in: Making use of best practices in Databricks; Big Data and AI projects Having conversations with the customer to correctly identify the data needs; Developing data pipelines (ELT and ETL); Combining data from multiple sources in an efficient and performant manner; Developing More ❯

come. You’ll join at a particularly transformative time, as the business builds a next-generation forecasting platform — utilising the latest advancements in data science, cloud computing, machine learning, AI, Monte Carlo simulation, and big data analytics to create more accurate and insightful forecasts than ever before. Key Responsibilities: Lead delivery of short, medium, and long-term passenger forecasts, leveraging More ❯

data pipelines using Azure Data Platform tools such as Databricks (PySpark), Data Factory, and Data Lake Gen2. Develop curated data layers (bronze, silver, gold) optimised for analytics, reporting, and AI/ML, ensuring they meet performance, governance, and reuse standards. Translate business needs into defined data products by collaborating with product owners, analysts, and stakeholders defining metrics, rules, and transformations. More ❯

data pipelines using Azure Data Platform tools such as Databricks (PySpark), Data Factory, and Data Lake Gen2. Develop curated data layers (bronze, silver, gold) optimised for analytics, reporting, and AI/ML, ensuring they meet performance, governance, and reuse standards. Translate business needs into defined data products by collaborating with product owners, analysts, and stakeholders defining metrics, rules, and transformations. More ❯

Team: Backend Location: Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £59.5–76.5k Base Salary + 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US More ❯

Team : Backend Location : Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US More ❯

Team : Backend Location : Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US More ❯

Team : Backend Location : Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US More ❯

Team : Backend Location : Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US More ❯

Team : Backend Location : Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US More ❯

Team : Backend Location : Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US More ❯

Team : Backend Location : Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US More ❯

Team : Backend Location : Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US More ❯

Team : Backend Location : Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US More ❯

Team : Backend Location : Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US More ❯

more development languages such as SQL, .NET, HTML, Java, XML, C++, C#, PHM, Python, etc. Broad Experience of a range of technology solutions including ERP, CRM, ESB, Azure, Cloud, AI, IoT, RPA, etc. Experience of one or more software/technical development delivery approaches such as Waterfall, SDLC, Agile, Scrum, DevOps, etc. Experience of analysing business requirements, documenting system design More ❯

customer-driven partnerships, and rich ecosystem, insurers are empowered to future-proof their organizations with operational excellence in a rapidly changing marketplace. We help insurers harness the power of AI and advanced automation to support core solutions for property and casualty, workers’ compensation, and life insurance, including reinsurance, financial & compliance, data & analytics, digital, and decision management. Sapiens boasts a longtime More ❯

Qualities: Good knowledge of Python, data analytics libraries, REST/RESTful APIs, Google Cloud Platform (GCP), BigQuery, Relational databases is a plus Familiarity with current trends in Analytics, Ecommerce, AI Search, LLMs, Marketing would be desirable Consistent and a proactive contribution to improve the user experience and ecommerce sales would be highly appreciated Salary is £30,000 - £35,000 Hybrid More ❯

maintained. You will have the opportunity to work on the latest cutting edge cloud technologies, use modern delivery processes and work on innovative projects, some including the use of AI and ML. Working alongside experts in their fields you will have the opportunity to make valuable contributions without compromising on quality. You will need the appetite to learn new technologies More ❯

peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join KPMG Data and AI Team We are looking for a skilled and proactive Data Engineer with strong expertise in the Microsoft Azure data ecosystem , including Microsoft Fabric , Synapse Analytics , and Delta Lake . This More ❯

based approaches and technologies. Understanding of the principles of data modelling and data flows with ability to apply this to design of data solutions. Experience of supporting and enabling AI technologies. Experience implementing data flows to connect operational systems, data for analytics and BI systems. Experience documenting source-to-target mappings. Experience translating business requirements into solution design and implementation. More ❯

Python). Familiarity with Salesforce, Dynamics 365, or similar enterprise systems. Excellent communication, collaboration, and stakeholder management skills. Nice-to-Haves Knowledge of Kafka, Snowflake, or Databricks. Experience with AI in data (e.g., real-time forecasting, visualisation). Background in advisory or consulting roles within data strategy. Ability to thrive in ambiguous, fast-paced environments. Confidence in storytelling with data More ❯

and familiarity with clients in industries such as finance, automotive, or technology is advantageous. Previous experience consulting, working as a freelancer or within an agency environment. Familiarity with building AI/ML features. To apply for this role please email with your CV and links to any other appropriate references e.g. Github. Thank you. You're closer than you think More ❯

in the Spring boot, cloud, and other API development frameworks Strong Hands on ETL frameworks like ADF/AWS Glue or Pyspark and basic knowledge of the bigdata/AI-ML technologies Must have experience and knowledge of one of the following relational databases: Oracle/DB2/MS SQL, and one of the no SQL databases like Scylla/ More ❯