301 to 325 of 3,854 Artificial Intelligence Jobs in London

will deploy customized IT strategies, digital platforms and architecture in order to leverage the digital potential of our customers with state of the art tools such as cloud computing, AI, blockchain, microservices and containerization. You will evaluate and coach our clients' technology teams, manage quality and risk while maintaining client expectations and escalations. Besides the functional guidance of the project … the following: IT Modernization; Solution & Enterprise Architecture Marketing, Sales & Service Platforms (CRM) Physical & Digital Channels (Including Mobile) ERP (SAP) &Manufacturing Platforms Banking & Insurance Platforms People, HR, Collaboration Platforms Applied Intelligence, Machine Learning, RPA, Chatbots, Blockchain, IOT DevOps & Bimodal IT Data Analytics, Big Data, Data Platforms Cyber Security Strong business acumen; can frame complex problems in appropriate business contexts A More ❯

trends, technologies, and best practices. What we are looking for: Experience leading development teams and/or projects , demonstrating strong technical leadership and organisational skills. A keen interest in Artificial Intelligence and Large Language Models (LLMs) and their potential applications within our products. Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure, including deploying More ❯

fields in technology today - Big Data analytics. You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: • Credit Scoring - FICO Scores are used by 90 of the More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Lead Data Engineer – London – £120,000 Sector: AI Consulting | Client Delivery Type: Full-time | Hybrid Join a tech consultancy at the forefront of applied AI—helping global brands design and deploy intelligent systems that solve real business problems. They combine deep engineering know-how with domain expertise to build the data infrastructure that powers machine learning and generative AI at … scale. 🔍 About the Role As a Lead Data Engineer , you’ll play a critical role in delivering AI-driven solutions for clients—owning the architecture and development of robust, scalable data platforms that feed into machine learning models and intelligent applications. You’ll work closely with Data Scientists, MLOps Engineers, and domain experts to ensure clean, accessible, and production-grade … data pipelines are in place to support experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature More ❯

Lead Data Engineer – London – £120,000 Sector: AI Consulting | Client Delivery Type: Full-time | Hybrid Join a tech consultancy at the forefront of applied AI—helping global brands design and deploy intelligent systems that solve real business problems. They combine deep engineering know-how with domain expertise to build the data infrastructure that powers machine learning and generative AI at … scale. 🔍 About the Role As a Lead Data Engineer , you’ll play a critical role in delivering AI-driven solutions for clients—owning the architecture and development of robust, scalable data platforms that feed into machine learning models and intelligent applications. You’ll work closely with Data Scientists, MLOps Engineers, and domain experts to ensure clean, accessible, and production-grade … data pipelines are in place to support experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature More ❯

position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone … up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and … architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. GDPR). Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in More ❯

position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone … up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and … architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. GDPR). Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in More ❯

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the … usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an ML … Engineer, you’ll work with clients to train ML models to satisfy their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML More ❯

days ago Be among the first 25 applicants Job Title: Engineering Head, AI Solutions Location: London About Elixirr Elixirr is a dynamic and innovative global consulting firm, recognized for delivering transformative solutions to our clients across various industries. As part of our growing AI practice, we are committed to developing enterprise-grade products and accelerators that drive innovation for our … clients and our people. These solutions enable our clients to harness the power of advanced AI technologies, including Retrieval-Augmented Generation (RAG) and inference chatbots, grounded in their proprietary data. About The Role We are seeking a visionary Head of Engineering to lead the development of our enterprise-grade AI solutions. This individual will serve as the product leader, driving … the technical strategy, architecture, and execution of our AI solutions, which integrate agentic workflows to dynamically populate and manage the proprietary content accessed by these systems. The ideal candidate will also have a passion for utilizing AI to enhance engineering processes, enabling our team to perform at scale and deliver impactful solutions efficiently. This role partners deeply with our AI More ❯

teams, often on a global basis, to develop and implement data management frameworks, strategies, and solutions that reduce data risk, drive business value and enhance decision-making capabilities. Our AI & Data team is dedicated to championing the potential and careers of individuals from all walks of life, providing support including flexible working arrangements . The opportunity In this Consulting role … with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. Data Management & Strategy - Supporting our financial services clients manage AI & Data Risk, define AI & Data Strategies, implement Data Product solutions, design Target Operating Models and enable Data Offices to become transformational to their business Support the build of a Data … in communities like Women in Banking and Finance. Your key responsibilities Collaborate within client facing delivery teams on complex data transformation programs in Financial Services, covering roles such as AI & data strategy, data risk and control analysis, solution design, AI governance, and end-to-end implementation management. Assist clients in executing their AI & Data strategy through deployment of modern Data More ❯

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the … usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an ML … Engineer, you’ll work with clients to train ML models to satisfy their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML More ❯

opportunities for Quantitative Research to leverage data and analytics to enhance the Sales business. Innovate and evolve core predictive models using diligent data analysis, traditional statistical reasoning, and advanced AI/ML techniques. Architect and manage the evolution of the code base, ensuring data quality and integrity, and collaborate with other teams to maximize scale and leverage across the organization. … of post-graduate professional experience. Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e., Mathematics, Physics, Statistics, Economics, Computer Science, etc.). Demonstrated experience applying AI/ML techniques, preferably in the financial industry. Advanced Python programming skills, including code architecture. Ability to manipulate and analyze complex, large-scale, high-dimensionality data from varying sources. Autonomy … excellent communication, and strong motivation. Preferred Qualifications, Capabilities, and Skills: 3+ years of experience working in a quantitative group applying AI/ML and data science to investment and/or trading businesses. Experience working with Equity products and investment strategies. #J-18808-Ljbffr More ❯

we do. We move fast, with precision, and always execute with privacy at the forefront. We're looking for a Software Engineering Manager, Backend to join the Consumer Generative AI team at Snap! What you’ll do: Lead a team of backend Software Engineers to evolve Snap’s consumer-facing Gen AI products, including Image AI Lenses, Video AI Lenses … and Gen AI features for Snapchat+ Collaborate with Product, Machine Learning, Engineering, Research, Data Science teams , and executive stakeholders to iterate on existing Gen AI products and launch new ones Facilitate technical planning, code reviews, and ensure high-quality code and operational standards across projects Evaluate the technical tradeoffs of major decisions and be a strong technical mentor Manage and … quick-to-market environment Hire, grow and retain high-performing team members Knowledge, Skills & Abilities: Experience setting the direction for customer-facing product teams leveraging Machine Learning/Generative AI Track record of delivery high availability ML-based backend products at scale in rapidly changing, highly collaborative, multi-stakeholder environments Strong management and mentorship skills, fostering a collaborative and innovative More ❯

KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and … data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions … learning techniques (e.g., reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and More ❯

KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and … data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing … AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries More ❯

we do. We move fast, with precision, and always execute with privacy at the forefront. We're looking for a Software Engineering Manager, Backend to join the Consumer Generative AI team at Snap! What you'll do: Lead a team of backend Software Engineers to evolve Snap's consumer-facing Gen AI products, including Image AI Lenses, Video AI Lenses … and Gen AI features for Snapchat+ Collaborate with Product, Machine Learning, Engineering, Research, Data Science teams , and executive stakeholders to iterate on existing Gen AI products and launch new ones Facilitate technical planning, code reviews, and ensure high-quality code and operational standards across projects Evaluate the technical tradeoffs of major decisions and be a strong technical mentor Manage and … quick-to-market environment Hire, grow and retain high-performing team members Knowledge, Skills & Abilities: Experience setting the direction for customer-facing product teams leveraging Machine Learning/Generative AI Track record of delivery high availability ML-based backend products at scale in rapidly changing, highly collaborative, multi-stakeholder environments Strong management and mentorship skills, fostering a collaborative and innovative More ❯

we do. We move fast, with precision, and always execute with privacy at the forefront. We're looking for a Software Engineering Manager, Backend to join the Consumer Generative AI team at Snap! What you’ll do: Lead a team of backend Software Engineers to evolve Snap’s consumer-facing Gen AI products, including Image AI Lenses, Video AI Lenses … and Gen AI features for Snapchat+ Collaborate with Product, Machine Learning, Engineering, Research, Data Science teams , and executive stakeholders to iterate on existing Gen AI products and launch new ones Facilitate technical planning, code reviews, and ensure high-quality code and operational standards across projects Evaluate the technical tradeoffs of major decisions and be a strong technical mentor Manage and … quick-to-market environment Hire, grow and retain high-performing team members Knowledge, Skills & Abilities: Experience setting the direction for customer-facing product teams leveraging Machine Learning/Generative AI Track record of delivery high availability ML-based backend products at scale in rapidly changing, highly collaborative, multi-stakeholder environments Strong management and mentorship skills, fostering a collaborative and innovative More ❯

End-to-end ownership: Engage directly with customers to close feedback loops and shape the product. - Modern DevOps culture: Deploy microservices multiple times per day with confidence. - Work with AI and expand your skills into Python and other emerging technologies. - Be part of a collaborative, forward-thinking team building the next generation of microservices platforms. - Continuous learning, we believe, ongoing … training is key to success. Our Tech Stack - Frontend: React - Backend: Nest.js, Python/fastapi, LangChain Test Automation: Pact, Jest, Cypress, and Pytest (including AI test automation) - Infrastructure: AWS ECS, PostgreSQL, Kafka (migrating from RabbitMQ) - Infrastructure as Code: Terraform (using native AWS services where possible) - CI/CD: GitHub-based tooling Our Engineering Culture - We believe speed comes from quality … a hole, stop digging. About Us We're a well-funded, early-stage London-based startup on a mission to revolutionize compliance for banks and fintechs with cutting-edge, AI-powered regtech solutions. We're building a product and engineering team to drive the platform in an agile way, using AI and ML at its core, enabled by microservices running More ❯

As a Staff Machine Learning Engineer, you’ll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Market’s most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, you’ll help define how models are developed, deployed, and maintained in production—reliably and responsibly. This is a high … engineering to lead delivery of complex ML systems. You’ll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive … to production with clear interfaces and robust engineering • Lead cross-team technical design sessions and architectural reviews • Provide mentorship, pair programming, and code reviews for other engineers across the AI function Innovation & Culture • Stay ahead of developments in MLOps, LLM infrastructure, and AI engineering best practices • Influence long-term strategic direction for ML tooling and delivery across the organisation • Help More ❯

and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of … our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders … across the business to expand the understanding and impact of machine learning and AI throughout Trainline. The Role We are looking for a MLOps Engineering Manager to join our team and help shape the future of train travel. You will be part of a highly innovative AI and ML team working alongside engineers, scientists and product managers to tackle complex More ❯

As a Staff Machine Learning Engineer, you’ll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Market’s most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, you’ll help define how models are developed, deployed, and maintained in production—reliably and responsibly. This is a high … engineering to lead delivery of complex ML systems. You’ll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive … to production with clear interfaces and robust engineering Lead cross-team technical design sessions and architectural reviews Provide mentorship, pair programming, and code reviews for other engineers across the AI function Innovation & Culture Stay ahead of developments in MLOps, LLM infrastructure, and AI engineering best practices Influence long-term strategic direction for ML tooling and delivery across the organisation Help More ❯

Integration Framework. Your work will enable seamless data retrieval and transformation from a variety of third-party sources, facilitating efficient data handling for our customers. Experience or enthusiasm for AI technologies, especially Large Language Models (LLMs), generative AI, or agentic coding tools, is strongly preferred. Key Responsibilities: Drive the migration and modernization of existing C#/.NET-based integration services … team members, ensuring adherence to best practices in software development and architecture. Participate actively in agile processes and foster a collaborative and innovative team culture. Integrate and experiment with AI technologies, leveraging generative AI and Large Language Models to enhance data integration capabilities. Skill & Experience Requirements: Bachelor's degree in Computer Science or related field; Master's preferred. 9+ years … of software development experience, particularly in integration and data transformation. Proven ability in migrating legacy systems to modern technology stacks. Practical experience or strong enthusiasm for AI and generative technologies. Strong experience with both C#/.NET and modern web technologies (TypeScript, NodeJS, React). Proficiency in relational databases (MS SQL) and data integration methodologies. Experience developing APIs and working More ❯

enterprise technology with CFO priorities, driving financial transformation through architecture. You design and govern modern finance platforms-covering GL, AP/AR, Consolidation, Tax, Treasury, FP&A, Risk, and AI forecasting-ensuring compliance, cost optimization, and data-driven decision-making. Client Details The client is a UK provider of goods, across many industries. Description Finance Enterprise Architect - Role Overview As … enterprise technology with CFO priorities, driving financial transformation through architecture. You design and govern modern finance platforms-covering GL, AP/AR, Consolidation, Tax, Treasury, FP&A, Risk, and AI forecasting-ensuring compliance, cost optimization, and data-driven decision-making. Key Responsibilities Finance Systems Strategy (70%) Define target architectures for core finance functions (ERP, EPM, Treasury). Lead ERP/… experience. 8+ years in strategy, business analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies More ❯