737 AI Solutions jobs in the United Kingdom

Job Title: AI Solutions Engineer

Location: Norwich
Salary: Excellent
Reports to: IT Director & Chief Marketing Officer (CMO)

Job Type: Full-time, Permanent (office based)

Galaxy Personnel is partnering with an exciting growing company, who are hiring a dedicated AI Solutions Engineer . You will be involved in design and implement custom AI-powered solutions by writing clean, production-ready code that integrates directly with APIs. This is a hands-on position where you’ll act as the sole AI expert, responsible for designing, building, and deploying the systems that define how we use AI.

This could be the role for you!

Key Role Objectives

• Custom AI Development: Write backend code to integrate AI services into business workflows and customer-facing applications.
li>API Integration: Build robust, secure integrations with third-party APIs using backend languages.
• System Design: Architect workflows and services that are maintainable, scalable, and secure.
• Deployment & Maintenance: Package and deploy solutions in production (Docker, AWS Lambda, server less platforms, or equivalent).

What you will need:

• Strong backend development skills in Python, Node.js, or a similar language (this is mandatory).
• Proven experience with API consumption, authentication, and integration.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Ability to design and implement production-grade backend services.
• Solid understanding of software engineering practices: version control, testing, CI/CD, monitoring.

Desirable Skills

• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
• Experience with speech and voice AI APIs (Eleven Labs, Whisper).
• Knowledge of chatbot/voicebot design for customer service or sales.
• DevOps experience (Docker, Kubernetes, and CI/CD pipelines).

If this is a role you would be interested in and want to hear more

Contact David Steel  (phone number removed)

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

Principal AI Solutions Consultant - UK Remote

We are seeking a Principal AI Consultant to lead the design and delivery of AI solutions for our enterprise customers. You will bridge customer strategy and technical execution — turning real-world problems into scalable AI outcomes using our platform, models, blueprints, and services.

This is a customer-facing role requiring deep AI/ML expertise, solution architecture experience, and the ability to lead engagements from discovery to delivery. You’ll work across pre-sales, POVs, training, and deployment — ensuring every customer extracts value from the product stack.

Key Responsibilities

• Act as lead technical advisor to enterprise customers on their AI strategy and architecture
• Translate business goals into AI blueprint solutions using our platform and services
• Lead proof-of-value engagements, model deployments, and customer enablement
• Design fine-tuning, inference, and integration workflows using our AI infrastructure and tools
• Collaborate with Product, Platform Engineering, and Customer Success to ensure solution fit and deployment success
• Contribute to reusable use cases and blueprint libraries
• Represent us in technical discussions with stakeholders, partners, and industry forums

Required Qualifications

• 8+ years in AI/ML consulting, applied data science, or AI solution architecture
• Strong Python, ML frameworks (e.g. PyTorch, TensorFlow), and orchestration tools (e.g., MLflow, Ray, Kubeflow)
• Experience delivering enterprise AI projects — including LLMs, classification, recommendation, or optimization workloads
• Hands-on knowledge of GPU-based training and inferencing pipelines
• Excellent communication and workshop facilitation skills with senior business and technical stakeholders

Success Metrics

• Number of successful POV-to-production conversions
• Time-to-value on delivered AI use cases
• Customer NPS and satisfaction from technical leadership
• Reusability of delivered architectures in industry blueprints

Why Join Us

• Deliver transformational AI in sovereign and sustainable environments
• Build the reference use cases shaping UK enterprise AI
• Collaborate with experts in infrastructure, carbon, and enterprise AI
• Competitive comp, equity, and deep customer impact

• Architect end-to-end AI solutions, encompassing data pipelines, model development, deployment, and monitoring.
• Collaborate with stakeholders to understand business requirements and identify opportunities for AI implementation.
• Design and develop robust, scalable, and efficient AI models and algorithms.
• Select and implement appropriate AI tools, frameworks, and platforms (e.g., TensorFlow, PyTorch, Scikit-learn, cloud AI services).
• Oversee the data acquisition, preparation, and feature engineering processes for AI model training.
• Develop strategies for model deployment, integration with existing systems, and ongoing performance optimisation.
• Ensure the ethical and responsible application of AI technologies, considering bias, fairness, and transparency.
• Evaluate emerging AI technologies and trends, providing recommendations for adoption.
• Lead technical discussions, present complex AI concepts to both technical and non-technical audiences.
• Mentor junior data scientists and engineers, fostering best practices in AI development.
• Document architectural designs, technical specifications, and deployment guides.
• Contribute to the continuous improvement of AI development processes and methodologies.

• A Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
• A minimum of 8 years of experience in AI/ML development, with at least 3 years in a solutions architecture or lead engineering role.
• Proven experience in designing and deploying production-level AI/ML systems.
• Expertise in programming languages such as Python, and proficiency with AI/ML libraries and frameworks.
• Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Exceptional communication, presentation, and interpersonal skills, crucial for remote collaboration.
• Ability to work independently and manage complex projects in a fully remote environment.
• Experience with MLOps principles and practices is highly desirable.

• Extensive experience in designing and implementing AI/ML solutions.
• Strong knowledge of machine learning algorithms, deep learning, and natural language processing.
• Proficiency in programming languages like Python and relevant AI/ML libraries/frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Solid understanding of data engineering, MLOps, and software architecture principles.
• Excellent analytical, problem-solving, and strategic thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field is highly preferred.
• Proven ability to lead technical teams and drive innovation in a remote setting.

• Design and architect end-to-end AI/ML solutions, from data ingestion and processing to model deployment and monitoring.
• Collaborate with stakeholders to define AI strategy and identify opportunities for leveraging AI/ML.
• Evaluate and select appropriate AI/ML tools, platforms, and frameworks.
• Develop proof-of-concepts and prototypes to demonstrate the value of AI solutions.
• Provide technical leadership and guidance to data scientists and engineers throughout the project lifecycle.
• Ensure the scalability, performance, and security of AI solutions.
• Translate complex business requirements into technical specifications for AI systems.
• Stay abreast of the latest advancements in AI, machine learning, deep learning, and related technologies.
• Develop and maintain documentation for AI solutions and architectures.
• Present AI solution designs and recommendations to technical and non-technical audiences.

• Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of experience in AI/ML development or architecture.
• Proven experience designing and implementing AI/ML solutions in production environments.
• Strong understanding of various ML algorithms, statistical modeling, and data mining techniques.
• Proficiency with cloud platforms such as AWS, Azure, or Google Cloud, and their AI/ML services.
• Experience with programming languages like Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to effectively engage with clients and technical teams.
• Experience with big data technologies and MLOps practices is a plus.
• Ability to lead technical discussions and influence decision-making.