1 to 25 of 35 Remote Artificial Intelligence Engineering Jobs in the UK

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 ❯

Salary: £35,000 - £40,000 About the Company Intellect Group is proud to be partnering with a fast-growing technology start-up at the forefront of Machine Learning and Artificial Intelligence innovation. This dynamic and forward-thinking company is building advanced data-driven solutions that are reshaping industries — from predictive analytics and automation to generative AI applications. As … intelligent systems and eager to contribute to real-world AI challenges. The Role This is an exciting opportunity for a highly motivated graduate to join a cutting-edge AI engineering team. You’ll work alongside experienced data scientists, researchers, and software engineers to design, build, and deploy scalable ML models that drive impactful products. The ideal candidate will … Stay up to date with the latest developments in ML/AI research and apply innovative techniques to product challenges. Requirements Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science , or a related technical field. Strong understanding of core ML concepts (supervised/unsupervised learning, neural networks, NLP, etc.). Hands-on experience with frameworks 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 ❯

with the founders to set the product and technical roadmap 💡 What You’ll Bring 5+ years’ full-stack experience with Python + React/Next.js Proven hands-on AI engineering — RAG systems, embeddings, hybrid search Solid cloud & data skills (AWS, SQL/NoSQL, containerisation) Familiarity with LangChain/LlamaIndex and LLM evaluation tools a bonus Start-up mindset More ❯

onsite twice p/w) 25 days annual leave Health Insurance Matched Pension L&D fund Flex-Hours On-site parking Plus more If you’re passionate about AI Engineering and are keen to work for one of the most exciting and fastest growing FinTechs in the country then please apply right away. 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 ❯

a next-generation, tech-enabled financial crime framework at the forefront of FinTech innovation. You’ll work closely with the senior leadership team, and cross-functional teams-including AI, engineering, and product-to embed scalable controls that strengthen trust, meet regulatory standards, and enhance customer experience. What You’ll Do: Lead the 1st Line Financial Crime function with More ❯

a next-generation, tech-enabled financial crime framework at the forefront of FinTech innovation. You’ll work closely with the senior leadership team, and cross-functional teams-including AI, engineering, and product-to embed scalable controls that strengthen trust, meet regulatory standards, and enhance customer experience. What You’ll Do: Lead the 1st Line Financial Crime function with 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 ❯

Next.js contractor to help us accelerate the delivery of core product features. You'll own key areas of the UI and work closely with our design, backend, and AI engineering teams to bring AIdriven functionality to life - particularly natural-language search, agentic workflows, and intelligent, context-aware components. This role is ideal for someone who can hit the 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 ❯