1 to 25 of 1,379 Artificial Intelligence Jobs in the South East

Job Description Salary- 90k-100k, plus 25k bonus Role Overview As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You’ll report directly to the CEO/CTO and own the full lifecycle of our AI roadmap—from research and proof-of-concept to scalable production. We’re looking for a “doer … who can rapidly prototype models, optimize for performance, and mentor junior engineers, all while helping define product strategy. In this role, you will: • Lead AI strategy and execution in a high-ambiguity environment. • Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). • Design infrastructure for data … ingestion, annotation, experimentation, model versioning, and monitoring. • Collaborate closely with product, design, and DevOps to integrate AI features into our platform. • Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront. • Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round. ⸻ Key Responsibilities 1. Architecture & Hands-On Development More ❯

Job Title: Generative AI Architect – Professional Services Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member … of our team, you will architect solutions that learn, reason, and make intelligent decisions , enabling AI to drive efficiency, innovation, and competitive advantage across multiple domains. Key Responsibilities AI Systems Architecture & Business Impact Design and develop scalable AI architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . … Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high More ❯

Optimize workflows and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT security teams to implement secure-by-design … data governance professionals. Foster a culture of innovation, collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to … paced, agile environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work with diverse and More ❯

for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make … you light up inside? If so, we want to hear from you! At 1st Central , we're on an exciting journey with AI and Generative AI - and we're looking for a Senior AI Engineer to help us shape the future. This isn't just about writing code or building models (though there'll be plenty of that too!). … It's about bringing smart ideas to life and making a real impact. You'll be at the heart of our AI strategy - from initial concept and prompt design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data Scientists, Software Engineers More ❯

authority for all digital workspace products and services, with responsibility for supporting the desired architecture, integration, configuration, and lifecycle management across platforms like Microsoft 365, Azure, Intune, and Gen-AI tooling. You'll lead the technical delivery and automation of services across the Digital Employee Experience ecosystem, covering end-user computing, device management, hardware/software provisioning, service desk operations … PowerShell, Graph API, and automation platforms. You'll develop and maintain APIs and integrations across workspace systems (e.g., ServiceNow, JAMF, DEX tools). You'll drive the adoption of AI-based automation and telemetry ingestion for continuous service improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and … employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device and application health. You'll support the definition of architecture for AI-enhanced service desk automation, including copilots, bots, and intelligent knowledge management. You'll implement and fine-tune Digital Experience Monitoring (DEM) tools to measure system health, device usage, and performance. You'll More ❯

relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience deploying AI solutions on Azure Open AI, GCP, and AWS platforms. 2-4 years of experience in data science roles or similar, ideally in CPG or Retail sectors. Experience with SAP MDG … Supply, R&D, and Commercial areas. Communicate analytics capabilities, standards, and processes effectively. Collaborate on technical architecture development with engineers and architects. Expand knowledge in machine learning, data science, AI, and related fields. What can you expect from Mars? Work with diverse, talented teams guided by our Five Principles. Join a purpose-driven company committed to building a better tomorrow. More ❯

About Apexon: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients … to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions … in a business context—from ideation through to production. You will play a pivotal role in shaping and implementing advanced AI-driven insights and personalization strategies that optimize client engagement and campaign performance across digital, CRM, and relationship management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual More ❯

capabilities to help Elanco deliver on customer needs faster than ever before. This role is part of our new enterprise platform engineering team with a specific focus on generative AI capability and their implementation in Elanco. This role will be working on the cutting edge of GenAI capability strategizing, building, and supporting our own implementations in Elanco. This is an … with a diverse team on some of Elanco's most exciting engineering initiatives helping drive secure, reliable, and efficient solutions using the latest technology. Stay abreast of the latest AI research, trends, and technologies, and apply this knowledge to drive continuous improvement and innovation within the team. Look for continuous improvement opportunities in our core ecosystem identifying new ways to … and run responsibilities for GenAI ensuring robust support folding into standard incident processes as the products mature. Help work with distributed teams across the business on how to consume AI/ML capabilities. Hands-on code, build, govern, and maintain. Working as part of a scrum team, deliver high-quality technical deliverables. Designing and building solutions to support the automation More ❯

Senior Data Scientist/AI Engineer Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. If you are … deliver successfully. You can also take the opportunity to author internal and public whitepapers and represent our client at conferences. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills More ❯

Senior Data Scientist/AI Engineer Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. If you are … deliver successfully. You can also take the opportunity to author internal and public whitepapers and represent our client at conferences. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills More ❯

IaC) using Terraform or AWS CDK. Exposure to data streaming platforms like Kafka is a bonus. Background in performance optimization, scalability, and security best practices. Desired Skills: Knowledge of AI and Emerging Technologies (Good to have) Understanding of how AI capabilities can be integrated into enterprise applications to enhance user experience, decision-making, and automation. Exposure to modern AI application … LLMs with domain-specific knowledge. Prompt engineering and fine-tuning for tailoring model behavior to business-specific contexts. Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search) to support semantic search and recommendation systems. Building intelligent features like AI-powered chatbots , assistants , and question-answering systems using LLMs and conversational agents. Awareness of agentic AI concepts …/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain , Semantic Kernel , or Azure OpenAI . Appreciation for ethical AI considerations including data privacy , security , and bias mitigation . Eagerness to explore emerging technologies and collaborate with AI/ML teams to bring intelligence into real-world business workflows. More ❯

and are committed to developing and growing our staff. Leidos is a global science and technology solutions leader working to solve the world's toughest challenges in the defence, intelligence, homeland security, civil, and health markets. The company's 33,000 employees support vital missions for government and commercial customers. Your Role and Responsibilities: As a result of some … Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is More ❯

Risk, Analyst, Risk Analyst, AI, Artificial Intelligence, ML, Machine Learning, IS Services, Data, LLM, Python, SQL, London, Insurance, Financial Services. We are seeking a highly skilled Risk expert in Artificial Intelligence and Machine Learning to join a Security Risk Management team. This role will focus on performing enhanced risk assessments of new projects and proof of … concepts where artificial intelligence (AI) is being utilised and deemed to be a material risk to the company. The ideal candidate will have a strong background in machine learning, large language models (LLMs), and deep learning. This position will require the ability to assess risks effectively and propose appropriate compensatory controls. Responsibilities: The Senior Risk Analyst will work … of the Head of IS Services and Risk Management reporting to the Information Security Specialist. The responsibilities of the role will be to conduct enhanced risk assessments on new AI solutions being implemented. You must have a strong IT background and deep understanding of Artificial Intelligence (LLM and Deep learning model development and deployment), IT and potentially Information More ❯

and technical/business/data analysis. Able to communicate effectively and clearly in writing and verbally, including drafting correspondence and documents and good presentation skills. Experience with business intelligence and reporting tools like Tableau, PowerBI or similar. Experience with version control systems (e.g. Git) Ability to work in an Agile environment Experience with Microsoft SQL. Experience with ETL … complex databases Experience in system support, monitoring & troubleshooting. Experience of working in environments with high information security standards to meet needs of ISO27001, SOC2 and GDPR etc Experience with AI and/or Machine Learning Project planning and management experience. Experience with finance systems i.e. Sage, Qube, IRIS or similar. Experience with CRMs such as HubSpot or similar. More ❯

AI/ML Data Science Developer Location: Hybrid Hertfordshire (preferred) or London Start Date: August 2025 Contract Length: 6 Months Initially (TBC) Rate: Competitive DOE, inside IR35 Are you passionate about pushing the boundaries of AI and Machine Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation … through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and reinforcement learning models. Carry out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with … cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ML and data science development. Proficient in Python, R, and relevant ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit More ❯

As the Lead Enterprise Architect for Data & AI, you will be responsible for defining and driving an enterprise-wide data and information architecture strategy. Your role will ensure data platforms, governance frameworks, and information assets are fully aligned with the needs of business domains such as Commercial, Finance, Supply Chain, Product, and Regulatory. You will lead the design of a … scalable, trusted, and connected data architecture that enables AI/ML, advanced analytics, digital transformation, and regulatory compliance. This is a critical leadership role in advancing the organization’s data-driven enterprise vision. Core Responsibilities of the Enterprise Architect Role: Bridge alignment between business and IT across a federated technology environment. Build strong stakeholder relationships with business and IT leaders. … lifecycle management policies at the enterprise level. Champion enterprise taxonomies, data product strategies, and federated governance. Stay informed on and assess innovations such as data mesh, lakehouse, and generative AI for enterprise applicability. Key Decision Areas: Defining the balance between centralized vs. federated data ownership and governance models. Selecting appropriate architecture patterns (e.g., data lakehouse vs. warehouse) for enterprise-wide More ❯

and modern backend architectures. Familiarity with event-driven or microservice-based patterns is a plus. The team are also looking for someone who can bring experience or interest in AI Engineering to build intelligent services and working alongside Data Scientists to deploy scalable AI-driven features and applications. A familiarity with cloud-based AI/ML services in Snowflake Cortex … or DOMO AI would be a strong advantage. Key Reponsibilities Design and implement robust, scalable backend systems using Python as the primary language. Apply object-oriented principles and design patterns to maintain clean, maintainable code. Leverage cloud-native services (primarily AWS) including Aurora, Load Balancer, Security Groups, and serverless compute options. Build and maintain CI/CD pipelines using industry More ❯

remarkable people who thrive on making an exceptional contribution. We now have an exciting opportunity for a Senior Data Scientist to play a key role in our Data and AI team. If making a difference gets you out of bed in the morning, then this could be the perfect opportunity and the start of something incredible! What will you be … doing? As a Senior Data Scientist, you will be a technical expert in a multidisciplinary team developing advanced AI and analytics solutions for the Insurwave platform. You’ll take full ownership of complex machine learning initiatives, from problem framing and algorithm selection to scalable deployment and monitoring. You will work across the full machine learning lifecycle, designing sophisticated models, experimenting … cutting edge techniques and building robust, production-ready pipelines. You will also contribute to the technical architecture, champion best practices in MLOps, and guide the strategic direction of our AI capabilities. This is a hands-on role for someone who enjoys both deep technical work and cross-functional collaboration—driving forward innovation while ensuring reliability, performance, and business value Responsibilities More ❯

transform lives, communities and nations. We provide inspirational leadership to power this transformation, having fun and showing the passion for doing what we love. We are expanding our Data & AI team and are looking for a Senior Data Scientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor more junior members of More ❯

constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java, and CMDB or asset integrations in ServiceNow. Knowledge of SAML, Active Directory, or LDAP. More ❯

best practice and ensure software is delivered to schedule. There's a host of new features and development work and you'll also help to drive the adoption of AI within the business, introducing things like chat bots and exploring the use of AI to make process improvements. This is an impactful role where you'll act as an "innovation … on highly scalable systems You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns You have experience with, or a strong interest in Artificial Intelligence and are keen to explore the possibilities further, ChatGPT knowledge You have strong analysis and problem solving skills alongside organisation and planning abilities You have business acumen More ❯

use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it? Position Summary We are hiring a AI & Data Science Lead to head our AI Centre of Excellence. This role consolidates responsibilities across Generative AI (GenAI) , traditional Machine Learning (ML) , and early-stage Data Science . You will … shape and deliver the technical strategy for our AI initiatives, while also acting as a hands-on engineer, mentor, and leader. You will be responsible for delivering high-impact GenAI use cases, establishing core AI platform capabilities, supporting a Machine Learning Engineer on classical ML projects, and building the foundation for a future Data Science function. You will also define … LLMOps and MLOps practices and ensure the infrastructure is in place to support long-term AI success across the business. Key Responsibilities: Strategy & Leadership Collaborate over the AI roadmap across GenAI, ML, and Data Science. Lead the AI Centre of Excellence, managing a growing team of AI engineers. Represent AI in senior product, engineering, and vendor forums. Generative AI Delivery More ❯

looking for a highly motivated individual who is a recent graduate with an honour's degree (2:1 and above) in Computer Science (or other relevant Data Science or AI degree) to join thier expanding data and analytics team. The ideal candidate will be proactive, keen to learn new skills, have a fundamental understanding of multiple programming languages, a self … team to build clean and robust data pipelines. Develop and test machine learning models to help aid in business decisions. To work with other team members to understand how artificial intelligence could be harnessed by the business to improve efficiency. To work alongside the data analysts to carry out ad-hoc data requests when required. Organise the data More ❯

looking for a highly motivated individual who is a recent graduate with an honour's degree (2:1 and above) in Computer Science (or other relevant Data Science or AI degree) to join thier expanding data and analytics team. The ideal candidate will be proactive, keen to learn new skills, have a fundamental understanding of multiple programming languages, a self … team to build clean and robust data pipelines. Develop and test machine learning models to help aid in business decisions. To work with other team members to understand how artificial intelligence could be harnessed by the business to improve efficiency. To work alongside the data analysts to carry out ad-hoc data requests when required. Organise the data More ❯

company to the next level—fast-tracking humanity and the planet toward purpose, protection, and prosperity. Role: We are looking for a highly skilled Mathematical Modeller with expertise in AI, data analytics, and sustainability to develop and implement advanced modeling frameworks. This role requires deep expertise in mathematical modeling, predictive analytics, and computational intelligence to analyze complex systems, support … Develop advanced mathematical and statistical models to support data-driven insights and decision-making. Design and implement predictive and prescriptive analytics frameworks to assess and forecast key trends. Apply AI and machine learning techniques to enhance data-driven methodologies. Conduct real-time analytics to track ongoing trends and develop automated monitoring systems. Perform scenario analysis and simulation modeling to evaluate … Collaborate with data scientists, engineers, and domain experts to integrate analytics into broader decision-making processes. Develop interactive data visualization tools to communicate insights effectively. Stay updated on emerging AI techniques, sustainability challenges, and regulatory frameworks to enhance analytical methodologies. Qualifications and Skills: Master’s or Ph.D. in Mathematics, Data Science, Statistics, Environmental Science, AI, Computational Modeling, or a related More ❯