1 to 25 of 29 Remote Artificial Intelligence Engineering Jobs in London

opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI … systems that improve audit quality, efficiency, and insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a … culture of collaboration, innovation, and continuous improvement. You will stay at the forefront of AI engineering trends, advocate for modern development methodologies, and drive knowledge-sharing across both the technology and audit domains. Due to the nature of the role significant time may be spent at client sites/KPMG offices. Responsibilities Lead by Example: Lead by example More ❯

opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI … systems that improve audit quality, efficiency, and insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a … culture of collaboration, innovation, and continuous improvement. You will stay at the forefront of AI engineering trends, advocate for modern development methodologies, and drive knowledge-sharing across both the technology and audit domains. Due to the nature of the role significant time may be spent at client sites/KPMG offices. Responsibilities Lead by Example: Lead by example More ❯

to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function . You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools … high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership More ❯

to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function . You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools … high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership More ❯

Director, AI Engineering – Professional and Financial Services Location: London (Hybrid) Employment Type: Full time Our Client Our client is a global leader in transforming organisational performance through safe, impactful and human centric artificial intelligence. With over a decade of success, they partner with leading organisations worldwide, combining AI software, bespoke consultancy, and top-tier talent from their … s leading technology firms, the organisation tackles some of the most complex challenges in applied AI across financial services, professional services, and beyond. The Opportunity As Director of AI Engineering , you will serve as the most senior technical authority for AI solutions across the Professional and Financial Services business unit. This is a high impact leadership role that … A collaborative leader who enjoys mentoring and developing high performing teams Why Join This is an opportunity to join a pioneering AI organisation that is redefining how businesses apply artificial intelligence responsibly and effectively. You will work alongside some of the brightest minds in the field, solving complex, real world challenges and shaping the future of applied AI More ❯

Director, AI Engineering – Professional and Financial Services Location: London (Hybrid) Employment Type: Full time Our Client Our client is a global leader in transforming organisational performance through safe, impactful and human centric artificial intelligence. With over a decade of success, they partner with leading organisations worldwide, combining AI software, bespoke consultancy, and top-tier talent from their … s leading technology firms, the organisation tackles some of the most complex challenges in applied AI across financial services, professional services, and beyond. The Opportunity As Director of AI Engineering , you will serve as the most senior technical authority for AI solutions across the Professional and Financial Services business unit. This is a high impact leadership role that … A collaborative leader who enjoys mentoring and developing high performing teams Why Join This is an opportunity to join a pioneering AI organisation that is redefining how businesses apply artificial intelligence responsibly and effectively. You will work alongside some of the brightest minds in the field, solving complex, real world challenges and shaping the future of applied AI More ❯

Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI-enabled CX transformation projects. Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related discipline (preferred). Preferred/Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX More ❯

Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI-enabled CX transformation projects. Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related discipline (preferred). Preferred/Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX More ❯

Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced … Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required … machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker More ❯

Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced … Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required … machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker More ❯

with the range of teams within the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines. The ideal candidate will bring deep expertise in AWS cloud-native data platforms, Snowflake, and modern data … engineering practices, with proven experience in banking and insurance domains. Key responsibilities: Lead the design and development of data ingestion, integration, and transformation frameworks. Architect and deliver data products that are modular, reusable, and aligned with business domains. Ensure technical accountability for detailed design, engineering quality, and delivery of all data engineering solutions. Drive … integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions More ❯

with the range of teams within the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines. The ideal candidate will bring deep expertise in AWS cloud-native data platforms, Snowflake, and modern data … engineering practices, with proven experience in banking and insurance domains. Key responsibilities: Lead the design and development of data ingestion, integration, and transformation frameworks. Architect and deliver data products that are modular, reusable, and aligned with business domains. Ensure technical accountability for detailed design, engineering quality, and delivery of all data engineering solutions. Drive … integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions More ❯

. Architect and scale AI and ML platforms for enterprise-wide adoption. Lead deployment of LLM, RAG, and Generative AI systems at scale. Partner with business, data, and engineering teams to operationalize AI initiatives. Establish MLOps and LLMOps … frameworks for lifecycle automation, compliance, and monitoring. Champion Responsible AI practices across all stages of development and deployment. What We’re Looking For ✅ 8+ years of experience in AI engineering, data science, or data architecture . ✅ Proven success building and scaling enterprise AI/ML platforms . ✅ Strong expertise in Snowflake and MongoDB for data modeling and integration. … Hands-on experience with Azure, AWS, or GCP cloud ecosystems. ✅ Deep proficiency in PyTorch, TensorFlow, or Scikit-learn . ✅ Understanding of MLOps, LLMOps , and modern data engineering best practices. Why Ascendion? At Ascendion, we combine human creativity and technology excellence to build the future of digital innovation. You’ll join a team that empowers organizations to adopt AI More ❯

retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt engineering, model evaluation, and responsible AI (governance, bias mitigation, safety). Optimise … models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases … and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week More ❯

retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt engineering, model evaluation, and responsible AI (governance, bias mitigation, safety). Optimise … models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases … and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week More ❯

to support autonomous decision-making and communication between agents. Monitor, evaluate, and continuously improve agentic performance and reliability. Skills & Experience Essential: 3+ years in software engineering, AI engineering, or machine learning roles. Strong programming skills (Python preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks, prompt engineering More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI … to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that … high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI … to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that … high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and More ❯

/London Rate: £500–£520 per day (Inside IR35) React | Python | AI-driven SDLC - Shape the future of software delivery. Build the front-end of an AI-led engineering platform. Are you a seasoned React developer who enjoys pairing elegant UI with smart back-end services? Fancy working on a platform that uses AI to strip away manual … two experienced Full Stack React Developers with Python capability to help bring this vision to life. You’ll be part of a tight-knit team focused on improving engineering productivity and delivering an intuitive, intelligent user experience. What You’ll Be Doing: Building responsive, modular React applications that sit at the heart of an AI-driven SDLC platform … reusable components and libraries that accelerate development across the team Keeping quality high through modern testing, performance tuning, and CI/CD practices Working closely with product, UX, AI engineering, and DevOps teams to align front-end features with real user needs Taking part in architectural discussions around dashboards, visualisation, and real-time feedback loops What You’ll More ❯

challenge, and want to make a real difference, you'll fit right in. We'd love you to be part of our journey: As a Senior Software Engineer (AI Engineering), you'll take a leading role in designing and implementing agent-ready systems and developer tools. You'll build production-grade software that enables safe, scalable, and AI … augmented engineering, while mentoring and guiding engineers to raise the bar across the team. Some Of The Great Things You'll Do Lead the design and development of services that support AI agent interaction Drive the application of GenAI to modernise, refactor, and accelerate legacy systems Define and implement APIs, contracts, and metadata aligned with the Model Context … quality, maintainable code that meets business needs Takes ownership of complex problems end-to-end, from design through deployment Rapidly learns, applies, and advocates for emerging AI-native engineering patterns Raises the bar for technical excellence, system simplicity, and agent-readiness Actively contributes to the growth and effectiveness of the wider engineering team Why Compare the More ❯

AI Engineering Manager Salary: £100,000 - £125,000 + bonus Location: London/Hybrid Data Idols are working with a major UK brand embarking on an exciting transformation to embed AI at the heart of its technology strategy. This is a brand-new role, a chance to build and lead an AI Engineering function from the … ground up within an established enterprise. The Opportunity You'll set the strategy and lead delivery for a new AI Engineering area, responsible for developing practical AI solutions, from intelligent agents and automation tools to advanced operational AI systems. This is not a research role, it's about turning AI into real-world impact. You'll consolidate existing … ML and AI Ops teams under one function, shaping how the organisation scales AI delivery across the business. Skills and Experience Proven leadership experience within data, ML, or AI engineering Hands-on technical understanding of modern AI tooling, MLOps, and model deployment Commercial mindset, experience bringing AI use cases into production Strong communication skills and the ability to More ❯

speech enhancement. Responsibilities: Lead the design, training, and optimisation of ML models for speech separation and noise reduction. Provide technical leadership and mentorship to a small, high-performing engineering team. Bridge research and production — ensuring scalable, low-latency model deployment. Collaborate cross-functionally with software and product teams to integrate ML systems into live products. Contribute to the … s long-term AI strategy and technical roadmap. Requirements: MSc or PhD in Computer Science, Machine Learning, or Signal Processing. Proven experience in leading or mentoring ML/AI engineering teams. Deep understanding of digital signal processing and speech/audio modelling . Proficiency with Python , PyTorch/TensorFlow , and modern ML frameworks. Track record of delivering production More ❯

speech enhancement. Responsibilities: Lead the design, training, and optimisation of ML models for speech separation and noise reduction. Provide technical leadership and mentorship to a small, high-performing engineering team. Bridge research and production — ensuring scalable, low-latency model deployment. Collaborate cross-functionally with software and product teams to integrate ML systems into live products. Contribute to the … s long-term AI strategy and technical roadmap. Requirements: MSc or PhD in Computer Science, Machine Learning, or Signal Processing. Proven experience in leading or mentoring ML/AI engineering teams. Deep understanding of digital signal processing and speech/audio modelling . Proficiency with Python , PyTorch/TensorFlow , and modern ML frameworks. Track record of delivering production More ❯

a cohesive, high-performing community. Drive the development and delivery of cutting-edge data science, ML, and AI products, ensuring best practices and robust governance. Work closely with engineering, platform, and AI teams to deliver impactful solutions. Champion a culture of experimentation, learning, and resilience—where innovation is encouraged and calculated risks are embraced. Directly and indirectly manage … non-negotiable) Salary: £140,000 + bonus Requirements: Proven hands-on data science leadership (recent coding not essential, but strong Python knowledge required). Deep understanding of ML, AI engineering, solution architecture, and the full development lifecycle. Experience building teams, setting standards, and delivering measurable outcomes. Comfortable managing large, multidisciplinary teams and collaborating across functions. Insurance or financial More ❯

a cohesive, high-performing community. Drive the development and delivery of cutting-edge data science, ML, and AI products, ensuring best practices and robust governance. Work closely with engineering, platform, and AI teams to deliver impactful solutions. Champion a culture of experimentation, learning, and resilience-where innovation is encouraged and calculated risks are embraced. Directly and indirectly manage … non-negotiable) Salary: £140,000 + bonus Requirements: Proven hands-on data science leadership (recent coding not essential, but strong Python knowledge required). Deep understanding of ML, AI engineering, solution architecture, and the full development life cycle. Experience building teams, setting standards, and delivering measurable outcomes. Comfortable managing large, multidisciplinary teams and collaborating across functions. Insurance or More ❯