10 of 10 Artificial Intelligence Engineering Jobs in the South East

Artificial Intelligence Engineer We are partnering with a forward-thinking consulting firm that is seeking an AI Engineer to join their expanding Data & Analytics team. This is an exciting opportunity to work on innovative AI-driven projects, leveraging cutting-edge technology to solve complex business challenges across various … impactful solutions. Build and deploy AI models using industry-leading frameworks and cloud platforms (Azure, AWS, GCP). Apply MLOps principles and software engineering best practices to develop scalable AI applications. Work alongside cross-functional teams to integrate AI solutions into business operations. What You’ll Need: A … and familiarity with AI frameworks and libraries such as Pandas, NumPy, PyTorch, Scikit-Learn, Streamlit, and SciPy. Strong understanding of software development principles, AI engineering, and MLOps. Experience working with cloud-based AI solutions on platforms like Microsoft Azure, AWS, or GCP. Excellent problem-solving skills, with the More ❯

transformation. Call it what you want, but this is a critical role for someone who can bridge the gaps between data science, data engineering and software engineering, ensuring AI/ML models are successfully built, deployed and scaled. You will work on real-world machine learning … strong benefits package Location : London-based HQ + flexible remote working options Future Growth : Opportunity to progress into a more rounded Head of AI Engineering very quickly. Or, move into wider architecture type positions. There's plenty that this can lead to, and the firm will support this … from the off. Key skills desired/what you will be doing: Develop and deploy AL/ML artificial intelligence/machine learning models for large-scale business applications. Build and maintain high-performance data pipelines, integrating structured and unstructured data sources. Take AI models from prototype to More ❯

high-calibre team SKILLS AND EXPERIENCE Required PhD/MSc from top academic institution in STEM related subject + experience in AI/Engineering Proficiency in Python Then experience in some of: Computer Vision (2D or 3D), GenAI, LLM (Agents and Fine tuning), Machine Learning Actively looking to More ❯

Machine Learning and AI Engineering Lead - London Mars is a family-owned business with more than $35 billion in global sales. We produce some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT®, 5™, SKITTLES®, BEN … and unlocking efficiencies and automation across our End-To-End Value Chain. Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The … Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization's mission of leveraging advanced technologies to drive innovation and efficiency across the organisation. More ❯

help shape the architecture and future of our AI-driven platform, working across backend systems, DevOps pipelines, and data engineering, and AI engineering projects. As an integral team member, you’ll have the opportunity to touch multiple products—from backend services to full-stack applications and … data storage. Implement DevOps Best Practices: Build and maintain CI/CD pipelines, streamline deployments, and ensure reliable and scalable infrastructure. Lead Data Engineering Efforts: Design and execute data pipelines to support analytics and product enhancements. What We’re Looking For: Product mindset – We value engineers who focus … on building solutions that genuinely improve user experiences. You should be excited about tackling real customer needs Ownership – As one of our early engineering hires, you’ll have the autonomy to shape entire product features. We look for people who can navigate ambiguous challenges, propose creative solutions, and More ❯

an experienced Senior Machine Learning Engineer to join an exciting team that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine More ❯

DevSecOps best practices. Cloud-Native & Serverless Computing : Utilize AWS serverless frameworks to enhance scalability and efficiency. Collaboration & Leadership : Work closely with software and AI engineering teams while mentoring junior engineers. Legacy Workflow Integration : Manage ArgoCD, Airflow, Jenkins, Bitbucket, and Bamboo pipelines. Technical Ownership : Act as a tech owner … Continuous Learning : Stay updated with cloud and AI advancements, driving innovation and modern architecture solutions. Qualifications: Bachelor in Science or better in Computer Engineering or related field. Certifications in AWS Solutions Architect Professional and Kubernetes . Knowledge of publisher IT environments. Preferred Licenses & Certifications (One or More a More ❯

Senior Engineering Recruitment Consultant/Headhunter At Search Technology, we are the preferred partner to world-leading AI startups, and technology-driven hedge funds with a primary focus on London, Europe, New York, and San Francisco. Our day-to-day involves working with many of the world's … retreats, and highly competitive commissions. We are looking for people who have expertise in hiring the best people in the world for software engineering or research domains such as Deep Learning, NLP, Computer Vision and Speech. Our core values Accuracy We embody accuracy and precision in every facet More ❯

fine-tuned, and proprietary models to deliver the best outcomes Collaborating cross-functionally to turn ideas into usable, scalable features Helping shape the AI engineering culture from the ground up What They’re Looking For: Strong experience building and shipping NLP or LLM-based systems Deep understanding of … how to work with large language models responsibly and effectively Engineering focus—robustness, scalability, and performance are second nature Ability to work across ambiguity and move from 0→1 quickly A product mindset: curious about the user, not just the model Nice to Have: PhD or MSc in More ❯

that integrate workflow orchestration systems (like Airflow, Temporal, AWS Step Functions) with real-world business processes and data pipelines Strong background in integration engineering and data modelling Exceptional Python skills for building … APIs, services, and data processing pipelines Experience with cloud infrastructure (AWS) and infrastructure-as-code (Terraform) including implementing monitoring and observability Knowledge of AI engineering workflows - particularly understanding how to build reliable systems around LLMs Problem-solving mindset and ability to navigate the challenges of creating a reliable More ❯