23 artificial intelligence jobs found in London

Details Reference number 414187 Salary £40,661 - £50,472 per annum, pro rata National £40,661 - £46,613 London (Inner) £44,852 - £50,472 A Civil Service Pension with an employer contribution of 28.97% GBP Job grade Senior Executive Officer Contract type Permanent Type of role Architecture and Data Digital Other Working pattern Flexible working, Full-time, Homeworking, Job share, Part-time Number of jobs available 1 Contents Location About the job Benefits Things you need to know Apply and further information Location Birmingham, Leeds, Liverpool, London – Canary Wharf (Core HQs) or Homeworking About the job Job summary We pride ourselves as being an employer of choice, where Everyone Matters promoting equality of opportunity to actively encourage applications from everyone, including groups currently underrepresented in our...

Project overview: DataArt AI Lab is looking for a Senior AI Consultant to join its core team and support a range of initiatives focused on AI-driven transformation. The role involves close collaboration with AI Lab leadership and cross-functional teams to design and implement AI solutions that enhance productivity, enable smarter workflows, and drive innovation across different domains and industries. Position overview: DataArt’s AI Lab helps organizations turn AI from experimentation into transformation — with practical, scalable solutions that drive real business outcomes. We combine strategic advisory, deep engineering, and reusable delivery accelerators through our Connect AI framework to enable smarter operations, faster decision-making, and sustainable growth. As part of our AI & ML team, you’ll lead and contribute to AI strategy and implementation initiatives — from roadmap design and maturity assessments to co-building pilots and reusable solution patterns....

Details Reference number 415383 Salary £55,836 - £66,338 London: £59,450 to £66,338 / National: £55,836 - £62,823. Your salary will be determined by your skills and capability as assessed at interview. A Civil Service Pension with an employer contribution of 28.97% GBP Job grade Grade 7 Contract type Permanent Business area DBT - CS - Digital, Data and Technology Type of role Administration / Corporate Support Analytical Architecture and Data Digital Governance Information Technology Working pattern Flexible working, Full-time, Part-time Number of jobs available 1 Contents Location About the job Benefits Things you need to know Apply and further information Location Belfast, Birmingham, Cardiff, Darlington, Edinburgh, London, Salford About the job Job summary The Department for Business and Trade (DBT) has a clear mission...

DLG is evolving. Across every part of our business, teams are embracing new opportunities and putting customers at the heart of everything they do. Whether you're already part of DLG or thinking about joining us, you'll have the chance not only to be recognised for your skills, but also to build on them and be empowered to do your very best. As part of the CISO team, you will reduce cyber security, privacy and operational resilience risk by providing insightful dashboards and performance metrics that will drive a Security First culture across our organisation. We are dedicated to safeguarding our clients' data and maintaining the highest standards designed to increase our security and improve our cyber security risk posture. The Cyber Security Data Reporting and Performance Analyst is responsible for developing, maintaining, and delivering dashboards and executive reports that support the organisation's cyber security posture. They will provide intuitive data...

Who we are Gartner’s Consulting business is an   extension   of Gartner’s industry-leading IT Research. From CIOs to leaders in business and government, we help Gartner clients across enterprises translate insights into transformational actions and achieve their mission-critical priorities. Leveraging the breadth of Gartner’s resources, Consulting is growing rapidly, with unlimited potential to continue expanding our client base. What we do In our Technology Strategy Consulting business, we help the C-suite make the right decisions based on how technology can transform their businesses. In today’s world, a consulting firm that is “born digital” (with the ability to directly leverage the full power of Gartner’s research and insights) is relevant to the most important strategic decisions any business will make. We deliver value to clients in areas such as IT Strategy Consulting, Benchmarking, Analytics, and Optimization. Typically, this helps Gartner’s clients to...

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities. Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore. WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. Why we're hiring: WPP is at the forefront of the...

Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street. We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters. We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story. We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a...

About the Role At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build the algorithmic products that power the company. We are embedded in product teams, close to the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to run experiments based on these algorithms. ML Engineers at Deliveroo report...

What you will be doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards. Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring. Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors. Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring. Ensure deployed models meet audit, reconciliation, and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data/variable drift over time. Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in...

The Team At Deliveroo we have a world-class data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams to answer some of the most interesting questions out there. For example, how do data and technology help restaurants to grow as consumer habits change? How can we predict what someone wants to order for dinner long before the idea has even crossed their mind? At Deliveroo these are just some of the tough problems we are solving - and there is no challenge that cannot be yours. No solution is owned by a particular team, which means the scope for growth and personal impact is enormous. Data Scientists and ML Engineers at Deliveroo report into our data science management team, and we have a strong, active data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new...

Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. It’s why we’re on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves! We change lives by making it simple to switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey. As the Senior Manager for Machine Learning Engineering, you will lead, scale, and continuously mature a high-performing team delivering high quality machine learning solutions. Drive the long-term technical strategy, delivery excellence, and team development for ML engineering across the organisation. Working closely with Data Science, Product, Technical Capabilities, and wider Engineering leadership, ensure ML products and platforms are robust, secure, scalable, and aligned with strategic business outcomes. Lead by example in embedding engineering best...

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. FactSet, a leading provider of financial information and analytics, helps the world’s best investment professionals outperform. We've been recognized as one of FORTUNE's 100 Best Companies to Work for and a Best Workplace in the United Kingdom and France. Headquartered in Norwalk, CT, with over 9,600 employees worldwide and offices across...

Machine Learning / MLOps Engineer – UK (Hybrid) London/ Leeds Contractor Inside IR35 / FTE | Hybrid (Mostly remote with occasional office visits) UST is hiring a Machine Learning/ MLOps Engineer to join our growing UK-based team in either London/ Leeds, who work on cutting-edge machine learning projects using the latest MLOps tools and cloud platforms (GCP & AWS). The Role: Build and deploy ML models using TensorFlow, PyTorch, Scikit-learn, XGBoost, and more. Automate ML pipelines with Kubeflow, MLflow, Vertex AI, or SageMaker. Work with Docker, Kubernetes, and CI/CD tools (GitHub Actions, Jenkins, etc.). Monitor and improve model performance in production environments. Collaborate with data scientists, engineers, and product teams to deliver impactful solutions. What You’ll Bring: Minimum of 5 years of experience in ML/MLOps roles. Strong skills in  Python , containerization, and cloud deployment...

Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. It’s why we’re on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves! We change lives by making it simple to switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and stable Machine Learning products integrated into production systems that deliver actions and / or actionable insights. 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...

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. This is a role based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab. The role We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team This is an exciting role. You will develop greenfield solutions to meet highly complex ML interdependency requirements. Where off-the-shelf tools fall short, you’ll build custom solutions to define best practice across quantitative research. Future projects include: Implementing best...

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. We're looking to add Senior and Staff Machine Learning Engineers to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle. Want to learn more about our Data Science Team:...

Argus is where smart people belong   and where they can grow. We answer the challenge of illuminating markets and shaping new futures. What   we’re looking for As a Data Scientist (Analytics), you will play a key role in advancing Argus’ automatic machine learning (ML) and artificial intelligence (AI) capabilities, with a specific focus on production-level R Shiny development. You will work on some of the most innovative and impactful data science products in the industry, such as The Argus Data Science Studio. https://www.argusmedia.com/en/products-platforms/argus-platforms/data-science-studio ​ The studio is a powerful new modelling tool that enables our clients to perform advanced analytics, trading, hedging and risk management decisions using our rich and diverse data sets. You will be responsible for leading the development and maintenance of the user interface and functionality of the tool using R Shiny, ensuring a smooth and intuitive user experience. Much...

The ICE Cybersecurity Digital Forensics and Incident Response (DFIR) team is responsible for defending critical financial infrastructure from Global Cyber threats. We leverage an evolving arsenal of controls that require technical proficiency as well as tenacity, professionalism, and strong communication skills. Responsibilities Security Analytics - Efficiently distill actionable information from large data sets for reporting, hunting, and anomaly detection Incident Management – Detect, document, investigate, and resolve security incidents in an efficient manner Endpoint Forensics - Construct meaningful incident timelines from forensic artifact analysis Counter Measures - Ability to design and implement preventative and corrective controls to counteract emerging threats Proactive Threat Hunting - Develop and execute focused plans to discover advanced threats that evade traditional security controls Behavioral Analysis - Develop and implement criteria to identify...

Why join us?: Why should you consider joining us? Well, we're on the lookout for a commercially astute Director of Data & AI to become a pivotal part of our leadership team and drive our business growth through innovative data solutions. This prestigious senior-level role reports directly to our COO and will require close collaboration with our CTO and Head of Transformation. The ideal candidate will possess the ability to manage senior-level relationships effectively, as this role involves working closely with divisional CEOs and other functional leaders. The role demands an individual who can seamlessly blend commercial acumen with technical expertise, with a clear focus on delivering tangible business value. The successful candidate will be entrusted with developing and implementing robust strategies, including defining and embedding appropriate governance, centralizing data management, building a future-proof reporting capability, and optimizing the data assets of...