851 to 875 of 5,557 Artificial Intelligence Jobs in England

data analytics driven products. Responsible for the delivery of data-driven insights of the investment processes. Explore the use of ESG data generated with AI powered solutions. Ideal Candidate: Relevant work experience extracting, structuring and analysing data to deliver data-driven insights. Working knowledge of VBA, SQL, Python, R and More ❯

validation Leadership & Project Delivery Managing software development projects Leading small to medium-sized teams Agile, Scrum, CI/CD, DevOps methodologies Advanced Software & Simulation AI-driven decision-making and automation Virtual environments and software modelling Simulation tools and data-driven optimisation More ❯

developing robust backend services and infrastructure, working closely with cloud technologies and infrastructure-as-code tools. While the team works on a number of AI/ML projects, this is not a machine learning role - though an interest or past experience in the space is definitely a bonus! They're More ❯

are continuing to expand their team with the hire of another Senior Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment More ❯

ML environments (GCP preferred). Excellent stakeholder management skills—able to bridge technical and business teams. A proactive problem-solver with a passion for AI and innovation. Experience deploying large language models in a business setting. Background in personal lines insurance (health or life). Experience with Google Cloud ML More ❯

are continuing to expand their team with the hire of another Senior Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment More ❯

own a roadmap of insight across customer, product, digital, and brand. Experience with tools like Fospha and a passion for unlocking the potential of AI in retail analytics are a big plus. SKILLS + EXPERIENCE Strong SQL experience and exposure to Python needed Any data visualisation tools – Looker, Tableau, Power More ❯

Strong SQL knowledge and experience Strong Python experience (ETL and Libraries) Git (or equivalent VCS) AWS experience Desirable Skills/Experience Agile methodology experience AI/Machine learning experience Data cleansing experience Exposure to the FS industry Relevant IT/Data related degree Applicants must be based within a commutable More ❯

is revolutionising the industry by embedding intelligent lending solutions into the customer journey. Backed by tier-one investors and experiencing rapid growth, they combine AI-powered credit assessment with a modern, mission-driven approach to lending. THE ROLE As Head of Data Science, your day-to-day responsibilities include but More ❯

with software engineers to enable them to understand and improve code performance. Build software tools for the most advanced HPC (High Performance Compute) and AI platforms in the world. Innovate in production software environments continuously striving to optimize the workflow. PREFERRED EXPERIENCE: Programming experience using C/C++ and/ More ❯

s or Master's degree in Computer Science, Engineering, or related field • Minimum of 3 years of experience working with emerging technologies such as AI, machine learning, blockchain, Internet of Things (IoT), or virtual/augmented reality • Strong understanding of software development principles and experience working with programming languages such More ❯

new compliance and transaction monitoring platform from the ground up. This is a greenfield project with a long-term roadmap, including upcoming integration of AI, ML, and global expansion features. What You’ll Be Doing: Taking the lead on frontend development using React and TypeScript , creating modular and accessible components More ❯

that align with RevOps objectives. Ability to translate business needs into technical solutions , ensuring alignment with global RevOps initiatives. Strong grasp of automation and AI-driven insights to optimize workflows and revenue operations. Soft Skills & Problem-Solving Strong problem-solving and troubleshooting skills to resolve technical and business challenges. Excellent More ❯

delivering a next-generation compliance platform designed for global financial operations. This is a greenfield project with long-term backing and exciting plans for AI and ML integration in future development phases. What You’ll Be Doing: Building a brand-new cloud-native platform with modular architecture for transaction monitoring More ❯

proptech and technology sectors, promoting continuous learning. Champion the selection, implementation, and maintenance of cutting-edge technologies. Identify opportunities for integration and innovation in AI, machine learning, RPA, NLP, computer vision, and other relevant technologies. Collaborate with stakeholders across product, operations, sales, and customer teams to address business needs. Develop More ❯

Conducting research on competitors, market trends, and emerging technologies to shape strategy and guide decision-making. Developing scalable strategies for managing technology risks, governing AI, and ensuring compliance with regulatory developments. Contributing to the Architecture function by developing standards, patterns, and best practices. The skills you'll need You'll More ❯

complex pricing problems in an extremely agile environment. This role will have the opportunity to learn and work on the most cutting edge generative AI solutions. Key job responsibilities Research the problem domain and come up with various approaches to solve the problem. Be willing to experiment quickly and fail More ❯

certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer pension scheme 25 days holiday + 8 bank holidays, with More ❯

certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer pension scheme 25 days holiday + 8 bank holidays, with More ❯

needed and freedom to explore. It’s the perfect step for someone who wants to move fast, own their growth, and help shape impactful AI solutions in a cross-disciplinary setting. HOW TO APPLY Interested? Apply via the link on this page with your CV. More ❯

Senior Infrastructure Engineer you will earn a competitive package: Salary to £130k + bonus Pension and Private Healthcare Impactful role working on cutting edge AI technology Excellent career growth opportunities Apply now to find out more about this Senior Infrastructure Engineer (Windows) opportunity. At Client Server we believe in a More ❯

needed and freedom to explore. It’s the perfect step for someone who wants to move fast, own their growth, and help shape impactful AI solutions in a cross-disciplinary setting. HOW TO APPLY Interested? Apply via the link on this page with your CV. More ❯

About You Strong expertise in a broad range of data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing More ❯

driven HealthTech company to find a talented Full-Stack Engineer. This role offers the chance to contribute to the development of a cutting-edge AI platform that transforms patient care through predictive analytics. As a key member of a collaborative engineering team, you'll work across the stack—building secure More ❯

messages for technical, creative, and client audiences Nice-to-Have: Experience with marketing data, customer-level modelling, or decision science (e.g. uplift, attribution, causal AI, optimization) Familiarity with MLOps tooling (MLflow, FastAPI, Airflow, etc.) Experience designing and interpreting A/B tests or other experimental frameworks Background in consulting, agency More ❯