1 to 25 of 86 Artificial Intelligence Engineering Jobs in London

and consumers than ever before, 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 … deployed. Identify opportunities to optimize methodologies. Contribute to a high performing data science function through coaching data scientists and providing training on writing scalable code and good software engineering practices. Create repeatable, interpretable, dynamic and scalable model training pipelines that are incorporated into analytic data products through cloud web applications and APIs. Define key performance indicators (KPIs) and More ❯

cross-functional teams to integrate AI solutions into existing products Providing technical guidance and mentorship to junior engineers Contributing to the development of best practices and standards for AI engineering Following best practices in leveraging CI/CD tools like Docker, GitHub Actions etc Taking ownership and seeing a project through to completion, asking for help where necessary … A Master's or Ph.D. degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics or related field 3+ years of experience in ML/AI engineering, or software engineering with expertise in NLP Experience with AI/ML infrastructure, distributed training and a track record of building and deploying ML systems at … to solve interesting problems that directly affect our customers Demonstrated critical thinking and problem-solving abilities, excellent communication and written skills Bonus Points If I Have Experience with AI engineering tools and technologies for fine tuning and serving custom LLMs in production and with other Gen AI tools such as, Langchain, LlamaIndex Experience working with Knowledge graphs based More ❯

Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: Minimum of 3 years of experience in AI engineering or a related role. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit … scalability and performance. Innovative Mindset: Passion for staying up-to-date with the latest AI research and emerging technologies, and applying them creatively to solve business challenges. Data Engineering: Familiarity with data pipelines, ETL processes, and working knowledge of databases and big data technologies. Software Development Practices: Experience with version control (eg, Git), containerization (Docker), and CI/ More ❯

of innovation and collaboration. Qualifications Master or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field preferred. Minimum six years of experience in AI engineering, machine learning, or a similar role, preferably within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. More ❯

of innovation and collaboration. Qualifications Master or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field preferred. Minimum six years of experience in AI engineering, machine learning, or a similar role, preferably within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. More ❯

and agentic architecture, and who wants to work at the forefront of AI technology in production use cases. We are looking for Software Engineers who have transitioned into AI Engineering, or who have an interest in making that transition where you will be working on our cutting edge AI agent, Orbital Copilot. While commercial experience in a company … the quality, maintainability, security, and scalability of our applications. You should apply if: ️ You have a background in software engineering and have made the transition into AI Engineering, or are motivated to make that transition. You are excited about the potential of LLMs, AI agents, and agentic architectures. You have in depth experience with full stack … customer feedback and then iterating quickly to improve the product. You have excellent verbal and written communication skills in English. You have proven experience delivering large, complex software engineering systems. It would also be nice if you have: Prior experience with LLMs (OpenAI's GPT-4o, o1, and Claude models from Anthropic) or agentic systems. Prior experience with More ❯

the highest quality customer experience. How will you make an impact? Design and implement models that seamlessly integrate advanced AI technologies into our products. Collaborate with product and engineering teams to translate business goals into scalable, effective AI solutions. Work closely with other AI teams across R&D to build and maintain a unified AI strategy. Drive innovation … to maintain code Experience with CI/CD and Python test suites (e.g. pytest) Experience using generative models, prompting and testing at scale Familiarity with best practices in AI Engineering, to include differences in prompts between major LLM vendors. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to More ❯

Engineer – Build the Future of Language with Us Location: Remote-first (UK or compatible time zones preferred) Type: Full-time | Permanent Salary: Competitive + Equity + Benefits Team: AI & Engineering What if your next role wasn’t just a job—but a mission? We’re on the hunt for a brilliant AI Engineer with a strong software engineering … in CI/CD, testing, and observability for AI systems. Translate complex business needs into elegant, AI-driven solutions. 🌟 What You Bring 5+ years of experience in software engineering and AI/ML development. Deep proficiency in Python and experience building scalable, distributed systems. Hands-on experience with LLMs , ML lifecycle tools (like MLflow, Weights & Biases), and cloud More ❯

Engineer – Build the Future of Language with Us Location: Remote-first (UK or compatible time zones preferred) Type: Full-time | Permanent Salary: Competitive + Equity + Benefits Team: AI & Engineering What if your next role wasn’t just a job—but a mission? We’re on the hunt for a brilliant AI Engineer with a strong software engineering … in CI/CD, testing, and observability for AI systems. Translate complex business needs into elegant, AI-driven solutions. 🌟 What You Bring 5+ years of experience in software engineering and AI/ML development. Deep proficiency in Python and experience building scalable, distributed systems. Hands-on experience with LLMs , ML lifecycle tools (like MLflow, Weights & Biases), and cloud More ❯

Engineer/Platform Architect London A global leader in strategy and innovation is seeking a Senior AI Software Engineer/Platform Architect to join their advanced data and AI engineering division. You'll be part of a world-class team delivering cutting-edge AI solutions that tackle complex, high-impact business challenges across multiple sectors. The tech build … spanning cloud, data, DevOps, MLOps and LLMOps domains. Contribute to full software development lifecycle with a strong focus on performance and maintainability. Collaborate cross-functionally with consulting and engineering teams to guide best practices. Drive innovation using tools such as Terraform, MLflow, AzureML, LangSmith, and more. Technical Requirements: Advanced proficiency in Python and modern software engineering … Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and infrastructure-as-code. Strong background across at least several of the following areas: Cloud Engineering, Data Platform Architecture, DevOps, MLOps/LLMOps. Ideal Profile: Proven track record designing AI-ready infrastructure and platform components. Enjoys solving complex problems collaboratively and influencing technical strategy. Effective More ❯

Job Title: Platform Engineering Lead Location: Bromley, UK Job Description: Required Skills: 20+ years’ experience in building and maintaining applications with focus on performance, scalability, security, and reliability. 7+ years’ experience overseeing enterprise-grade platform solutions Experience in a highly Agile continuous integration and continuous deployment environment, preferably within a financial domain. Strong experience in Java/J2EE … cloud technologies and platform architecture to build resilient, scalable and maintainable solutions Experience implementing best practices, optimizing performance, ensuring compliance with security standards, and providing leadership to the engineering team Strong verbal and written communication skills with the ability to delve in low level details with a technical audience and explain concepts at a high level to a … non-technical audience. About Us: Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys More ❯

Job Title: Platform Engineering Lead Location: Bromley, UK Job Description: Required Skills: 20+ years’ experience in building and maintaining applications with focus on performance, scalability, security, and reliability. 7+ years’ experience overseeing enterprise-grade platform solutions Experience in a highly Agile continuous integration and continuous deployment environment, preferably within a financial domain. Strong experience in Java/J2EE … cloud technologies and platform architecture to build resilient, scalable and maintainable solutions Experience implementing best practices, optimizing performance, ensuring compliance with security standards, and providing leadership to the engineering team Strong verbal and written communication skills with the ability to delve in low level details with a technical audience and explain concepts at a high level to a … non-technical audience. About Us: Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys More ❯

lives? We're looking for 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 learning models to solve complex More ❯

lives? We're looking for 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 learning models to solve complex More ❯

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 … Kubernetes for containerisation and orchestration of applications. Manage deployments with Helm and configuration in YAML. Develop shell scripts and automation for deployment and operational workflows. Work with Data Engineering to integrate and manage data workflows using Apache Airflow and DAG-based models. Perform comprehensive testing, debugging, and optimization of backend components. Required Skills Bachelor's degree in Computer … Science, Software Engineering, or a related field (or equivalent practical experience). Proven experience as a Backend Engineer or a similar role, with a strong track record of designing and developing robust backend systems. Proficiency in Python and Javascript Familiarity with logging frameworks like Serilog for efficient log capturing and analysis. Experience with containerization tools like Docker and More ❯

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 … Kubernetes for containerisation and orchestration of applications. Manage deployments with Helm and configuration in YAML. Develop shell scripts and automation for deployment and operational workflows. Work with Data Engineering to integrate and manage data workflows using Apache Airflow and DAG-based models. Perform comprehensive testing, debugging, and optimization of backend components. Required Skills Bachelor's degree in Computer … Science, Software Engineering, or a related field (or equivalent practical experience). Proven experience as a Backend Engineer or a similar role, with a strong track record of designing and developing robust backend systems. Proficiency in Python and Javascript Familiarity with logging frameworks like Serilog for efficient log capturing and analysis. Experience with containerization tools like Docker and More ❯

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 … Kubernetes for containerisation and orchestration of applications. Manage deployments with Helm and configuration in YAML. Develop shell scripts and automation for deployment and operational workflows. Work with Data Engineering to integrate and manage data workflows using Apache Airflow and DAG-based models. Perform comprehensive testing, debugging, and optimization of backend components. Required Skills Bachelor's degree in Computer … Science, Software Engineering, or a related field (or equivalent practical experience). Proven experience as a Backend Engineer or a similar role, with a strong track record of designing and developing robust backend systems. Proficiency in Python and Javascript Familiarity with logging frameworks like Serilog for efficient log capturing and analysis. Experience with containerization tools like Docker and More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence … . • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: − Bachelor’s or Master’s degree in computer science/engineering/Math/Physics, plus one or more of the following: − Proficiency in programming languages such as Python, Java, or Scala. − Strong experience with SQL and database technologies (incl. …/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence … . • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: − Bachelor’s or Master’s degree in computer science/engineering/Math/Physics, plus one or more of the following: − Proficiency in programming languages such as Python, Java, or Scala. − Strong experience with SQL and database technologies (incl. …/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence … . • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: − Bachelor’s or Master’s degree in computer science/engineering/Math/Physics, plus one or more of the following: − Proficiency in programming languages such as Python, Java, or Scala. − Strong experience with SQL and database technologies (incl. …/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week More ❯

Machine Learning & AI Engineering Lead | London (Hybrid) Join Mars on a mission to use data and AI to shape a better world—for people and pets alike. We’re looking for a “ Machine Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play a pivotal role in … capability forward 💡 What you’ll bring: 5–7 years in AI/ML roles (bonus if it’s in CPG, retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication More ❯

Machine Learning & AI Engineering Lead | London (Hybrid) Join Mars on a mission to use data and AI to shape a better world—for people and pets alike. We’re looking for a “ Machine Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play a pivotal role in … capability forward 💡 What you’ll bring: 5–7 years in AI/ML roles (bonus if it’s in CPG, retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication More ❯

global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM solutions based … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and More ❯

Job Title: Data Engineer (with AI Engineering Experience) Location: Hybrid (UK-based) Outside IR35 Contract role - 6 months rolling Industry: Energy/Wholesale Markets & Trading We’re looking for a skilled Data Engineer with Artificial Intelligence (AI) experience to join a cutting-edge team within one of the UK’s leading energy companies. This role sits … productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best practices and ensure adherence to standards across ingestion, transformation, storage, and governance. Skills & Experience Proven experience delivering complex data solutions in a technical data engineering role … regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in More ❯

Job Title: Data Engineer (with AI Engineering Experience) Location: Hybrid (UK-based) Outside IR35 Contract role - 6 months rolling Industry: Energy/Wholesale Markets & Trading We’re looking for a skilled Data Engineer with Artificial Intelligence (AI) experience to join a cutting-edge team within one of the UK’s leading energy companies. This role sits … productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best practices and ensure adherence to standards across ingestion, transformation, storage, and governance. Skills & Experience Proven experience delivering complex data solutions in a technical data engineering role … regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in More ❯