1,553 AI Engineers jobs in the United Kingdom

AI Solutions Engineers x2

£75,000-£100,000 + Benefits Depending on Experience

Fully Remote, Offices in London, Glasgow, Bristol

We are seeking two AI Solutions Engineers to design, build, and deliver cutting-edge customer-facing AI solutions for a leading Consultancy who specialises on CX and Contact Centre solutions.

Sitting at the intersection of technology, product, and customer experience, you will rapidly prototype and iterate on AI-powered experiences that demonstrate business value, inspire customers, and inform our product roadmap.

Any experience applying Agentic solutions within Consulting, Customer Experience or Contact Centres is a advantage.

Key Responsibilities

• Design and deliver AI-driven prototypes and proof-of-concepts for customer-facing use cases.
• Collaborate closely with Product, Engineering, and Sales teams to shape solution design and delivery.
• Engage with customers to understand their pain points, goals, and success metrics.
• Build business cases and ROI models to quantify solution impact.
• Provide technical guidance on LLMs, prompt design, and orchestration techniques.
• Translate business requirements into data flows, process maps, and AI-enabled journeys.
• Document learnings, patterns, and best practices to support reuse and scaling.
• Promote ethical, safe, and transparent AI practices across projects.

Key Skills & Experience

• Strong programming ability, ideally with Python.
• Hands-on experience with Generative AI tools, frameworks, and orchestration techniques.
• Background in customer experience or service design, including journey mapping.
• Experience in ROI modelling and business case development.
• Ability to collaborate across sales, product, and engineering teams.
• Excellent communication and storytelling skills, especially using data.
• Awareness of ethical AI principles and responsible AI practices.

Critical Thinking

• Analyse complex problems and identify AI-driven solutions.
• Evaluate trade-offs between technical feasibility, scalability, and user impact.

Creativity & Innovation

• Apply AI creatively to solve real-world challenges.
• Contribute to ideation and experimentation across use cases.

Collaboration

• Work cross-functionally with Product Managers, Engineers, and Sales.
• Share insights and feedback between internal and external teams.

Communication

• Translate technical concepts into clear, actionable insights.
• Document learnings, use cases, and best practices for internal reuse.

Customer-Centric Mindset

• Understand customer pain points and business goals.
• Design solutions that deliver measurable value and impact.

Curiosity & Continuous Learning

• Stay up to date with AI trends, tools, and frameworks.
• Experiment with new approaches and share findings with the team

• Design, develop, train, and deploy machine learning models for various applications.
• Implement and optimize ML algorithms using Python and popular ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Collaborate with data scientists and domain experts to understand business requirements and translate them into ML solutions.
• Build and maintain robust data pipelines for model training and evaluation.
• Develop scalable and efficient ML systems for production environments.
• Perform data analysis and feature engineering to improve model performance.
• Stay current with the latest advancements in machine learning and artificial intelligence research.
• Contribute to code reviews, documentation, and knowledge sharing within the team.
• Evaluate and select appropriate ML models and techniques for specific problems.
• Monitor and maintain deployed ML models, ensuring optimal performance and reliability.

• Master's degree or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• 5+ years of experience in machine learning engineering or a similar role.
• Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, Keras, or scikit-learn.
• Strong understanding of core ML concepts, algorithms (e.g., regression, classification, clustering, deep learning), and statistical modelling.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Solid software engineering skills, including experience with version control (Git).
• Excellent analytical and problem-solving abilities.
• Strong communication and collaboration skills, comfortable working in a remote setting.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.

• Assist in the design, coding, and implementation of AI models and algorithms.
• Support the development and testing of AI-powered software applications.
• Collaborate with senior engineers and researchers on research and development projects.
• Write clean, efficient, and well-documented code.
• Participate in code reviews and contribute to team discussions.
• Analyze data and assist in the training and evaluation of AI models.
• Contribute to the documentation of software designs and processes.
• Learn and apply new technologies and methodologies in AI and machine learning.
• Assist in the integration of AI components into existing systems.
• Troubleshoot and debug software issues.

• Recent graduate with a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• Strong foundation in programming languages such as Python, Java, or C++.
• Understanding of AI concepts, machine learning principles, and data structures.
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities, suitable for remote collaboration.
• Eagerness to learn and adapt to new technologies.
• Self-motivated with the ability to work independently and manage time effectively.
• A keen interest in Artificial Intelligence and its applications.

• Assisting in the design, development, and testing of AI and machine learning models.
• Writing clean, efficient, and well-documented code in languages such as Python, Java, or C++.
• Collaborating with senior engineers to implement AI solutions for various applications.
• Participating in code reviews and contributing to the improvement of software development processes.
• Researching and evaluating new AI technologies and frameworks.
• Analyzing and processing large datasets to train machine learning models.
• Contributing to the documentation of AI algorithms and software components.
• Working effectively within a distributed team using agile methodologies and remote collaboration tools.
• Learning and applying best practices in software engineering and AI development.
• Presenting findings and project progress to the team.

• A recent graduate (or soon-to-be graduate) with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• Strong programming skills in at least one object-oriented programming language (e.g., Python, Java, C++).
• Familiarity with AI/ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• A solid understanding of data structures, algorithms, and software development principles.
• Excellent problem-solving abilities and a keen analytical mindset.
• Strong written and verbal communication skills, essential for remote collaboration.
• Proactive attitude, eagerness to learn, and ability to work independently in a remote environment.
• Experience with version control systems (e.g., Git) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous.

• Developing and implementing comprehensive AI ethics principles, policies, and governance frameworks.
• Conducting thorough ethical impact assessments for new AI products and features.
• Advising product and engineering teams on ethical considerations in AI design, development, and deployment.
• Researching emerging ethical challenges and best practices in AI and machine learning.
• Fostering a culture of responsible AI development within the organization through training and awareness programs.
• Collaborating with external stakeholders, including researchers, policymakers, and industry bodies, on AI ethics initiatives.
• Interpreting and applying relevant regulations and standards related to AI and data privacy.
• Communicating complex ethical issues to diverse audiences, including technical and non-technical stakeholders.
• Contributing to the company's thought leadership in the field of responsible AI.

• Lead the planning, execution, and delivery of sophisticated AI and machine learning projects.
• Define project scope, goals, and deliverables that support business objectives, in collaboration with senior management and stakeholders.
• Develop detailed project plans, including timelines, resource allocation, and budget management.
• Manage and motivate cross-functional project teams, fostering a collaborative and high-performance culture.
• Implement and oversee agile project management methodologies, ensuring iterative development and continuous improvement.
• Identify, assess, and mitigate project risks and dependencies.
• Facilitate effective communication among project stakeholders, including technical teams, product owners, and executive leadership.
• Track project progress, milestones, and key performance indicators (KPIs), reporting regularly to senior management.
• Ensure the quality and integrity of project deliverables, adhering to industry best practices and company standards.
• Manage vendor relationships and third-party integrations as required.

• Conduct cutting-edge research on AI ethics, bias, fairness, transparency, and accountability.
• Develop and implement frameworks, policies, and best practices for responsible AI development and deployment.
• Collaborate closely with AI/ML engineers, data scientists, and product managers to integrate ethical considerations into system design and implementation.
• Perform ethical risk assessments for new and existing AI systems.
• Advise on regulatory compliance and industry standards related to AI ethics.
• Contribute to public discourse and thought leadership on AI ethics through publications, presentations, and workshops.
• Develop training materials and conduct workshops for internal teams on AI ethics principles.
• Monitor evolving societal and technological trends to anticipate future ethical challenges in AI.
• Engage with external stakeholders, including academics, policymakers, and civil society organisations.

• Advanced degree (PhD preferred) in Computer Science, Philosophy, Law, Social Sciences, or a related field with a specialization in AI ethics or responsible AI.
• Demonstrated experience in conducting research and publishing in the field of AI ethics.
• Strong understanding of AI/ML technologies and their societal implications.
• Excellent analytical, critical thinking, and problem-solving skills.
• Proven ability to translate complex ethical concepts into actionable guidelines.
• Exceptional written and verbal communication skills.
• Experience in policy development or ethical review processes is a plus.
• Ability to work effectively in a multidisciplinary and fast-paced research environment.

About SAP Fioneer 

At SAP Fioneer, innovation drives everything we do. Spun out from SAP, we combine agility, cutting-edge delivery, and financial services expertise to build the next generation of banking software. 

Our mission: Enable banks to achieve speed, scalability, and cost-efficiency through digital innovation, cloud-native technology, and solutions that cover core banking processes end-to-end. With rapid global growth, a lean structure, and a collaborative culture, SAP Fioneer is the place to accelerate your career. 

The Role 

We are seeking a (Gen)AI Development Lead (m/f/d) to spearhead AI feature development for our banking products. You’ll be the central driver of our GenAI strategy—designing, coding, and deploying production-grade features that integrate into our core banking software. 

This is a hands-on technical leadership role. You will build prototypes, deliver production-ready code, and define the technical vision for AI within SAP Fioneer. You will also grow and mentor a dedicated AI development team and ensure best practices for scalable, secure AI solutions. 

What You’ll Do 

• Lead the technical design, development, and deployment of (Gen)AI-powered features for our banking products 

• Be part of the complete innovation process for AI capabilities – all the way from rapid prototypes and demos to production-grade solutions that can be deployed at large banks globally 

• Work closely with core banking solutions and data – enabling AI agents to interact with transaction data, automate business processes, and generate insights as well as recommendations for our banking customers and their clients 

• Lead and further grow a high-performing AI development team, setting technical direction and mentoring developers 

• Collaborate with product managers, solution leads, and our customers to ensure AI features meet requirements and deliver tangible business value 

• Provide architectural and technical guidance to implementation teams, including where AI features touch SAP/ABAP components 

Requirements

What You Bring 

Technical expertise 

• 7+ years of software development with a track record of delivering AI/ML solutions in production 

• Deep understanding of different approaches to integrate LLMs into enterprise solutions
• Hands-on experience with LangChain, LangGraph, LlamaIndex or similar frameworks 

• Strong programming skills (e.g. Python, Java, JavaScript, C++, R) 

• Cloud-native development experience (Azure, AWS, or Google Cloud) with containerization/orchestration (Docker, Kubernetes)  

• Proven ability to integrate AI into enterprise-grade systems; SAP/ABAP exposure and experience is a strong plus 

• Experience in leading and scaling development teams 

• Skilled at translating business requirements into scalable AI architectures 

Why Join Us? 

• Shape the future of AI in banking – Lead the creation of AI capabilities embedded in mission-critical systems 

• Hands-on innovation – Own the full lifecycle from prototype to production 

• Team-building impact – Build and mentor a new AI development team from the ground up 

• Global collaboration – Work with colleagues and clients across continents 

• Flexibility – Remote-first with occasional travel for high-value interactions 

Benefits

We offer a comprehensive benefits package that includes occupational pension provisions, support for health and wellbeing, various mobility options like bike leasing and transportation allowances, as well as additional perks such as celebration rewards, meal programs, jubilee recognition, and relocation reimbursement.