132 AI Consultant jobs in London

• Design end-to-end AI/ML solutions, including data pipelines, model training, deployment, and monitoring.
• Architect scalable and resilient machine learning infrastructure on cloud platforms (AWS, Azure, GCP).
• Evaluate and select appropriate AI/ML algorithms and frameworks for specific business problems.
• Collaborate with data scientists to operationalize machine learning models into production environments.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Develop proofs-of-concept and prototypes to validate AI/ML solution designs.
• Translate business requirements into technical specifications and architectural blueprints.
• Stay abreast of the latest advancements in AI, machine learning, deep learning, and related technologies.
• Communicate complex technical concepts and solutions effectively to both technical and non-technical stakeholders.
• Contribute to the development of best practices and standards for AI/ML development and deployment.

• Master's or PhD degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
• Minimum of 7 years of experience in software development or solutions architecture, with at least 4 years focused on AI/ML.
• Proven experience designing and implementing production-grade ML systems.
• Strong understanding of various machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and their applications.
• Hands-on experience with AI/ML platforms and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in cloud computing environments (AWS, Azure, GCP) and associated AI/ML services.
• Excellent programming skills in Python and experience with related data science tools.
• Strong understanding of data engineering principles and MLOps practices.
• Exceptional problem-solving, analytical, and communication skills.
• Experience working in London, England, UK is advantageous, but the role offers hybrid flexibility.

McGregor Boyall have partnered with a Logistics company who are seeking support to identify, design, and create AI-driven solutions that can drive operational efficiency and foster innovation across their organization.

This is a contract role - negotiable day rate.

We're looking for a someone who can assist with the following key responsibilities:

• Identifying and prioritizing high-impact AI use cases.

WHJS1_UKTJ

• Lead the design and architecture of AI and machine learning solutions for clients across various industries.
• Understand client business requirements and translate them into technical specifications and architectures.
• Evaluate and recommend appropriate AI technologies, platforms, and tools for client engagements.
• Develop proof-of-concepts (POCs) and technical prototypes to demonstrate the feasibility of proposed solutions.
• Collaborate closely with data scientists, ML engineers, software developers, and project managers.
• Provide technical leadership and guidance throughout the project lifecycle, from discovery to deployment.
• Ensure solutions are scalable, secure, reliable, and meet performance objectives.
• Stay abreast of the latest advancements in AI, ML, data science, and cloud technologies.
• Develop best practices and reusable architectural patterns for AI solutions.
• Present technical solutions and strategies to client stakeholders, including C-level executives.
• Contribute to pre-sales activities, including proposal writing and client presentations.
• Mentor junior architects and engineers, fostering a culture of technical excellence.
• Assess existing client infrastructures and provide recommendations for AI integration.
• Drive innovation and identify new opportunities for leveraging AI within client organizations.
• Ensure compliance with industry standards and regulatory requirements.

• Master's or PhD in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Minimum of 7 years of experience in solution architecture, with a significant focus on AI/ML and cloud technologies.
• Proven experience designing and implementing complex AI/ML solutions in production environments.
• Deep understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and NLP.
• Extensive experience with major cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong knowledge of data engineering, data warehousing, and big data technologies.
• Excellent communication, presentation, and interpersonal skills, with the ability to engage with technical and business stakeholders.
• Demonstrated ability to lead technical teams and drive consensus.
• Experience with containerization (Docker, Kubernetes) and microservices architecture.
• Familiarity with MLOps principles and practices.
• Strategic thinking and the ability to align technical solutions with business objectives.
• Experience in consulting or client-facing roles is highly desirable.
• Knowledge of data privacy and ethical AI considerations.

• Architect and design scalable, reliable, and performant AI systems and platforms.
• Collaborate with stakeholders across product, engineering, and business teams to define AI requirements and roadmaps.
• Lead the technical design and development of machine learning models and algorithms.
• Evaluate and select appropriate AI/ML tools, frameworks, and technologies.
• Oversee the end-to-end lifecycle of AI solutions, from data ingestion and model training to deployment and monitoring.
• Mentor and guide junior AI engineers and data scientists.
• Stay abreast of the latest advancements in AI and machine learning, and identify opportunities for innovation.
• Ensure the ethical and responsible development and deployment of AI systems.
• Develop best practices for AI development, deployment, and MLOps.
• Present complex technical concepts and strategies to both technical and non-technical audiences.

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 7+ years of experience in AI/ML development, with at least 3 years in a lead or architectural role.
• Proven experience in designing and deploying large-scale AI solutions.
• Deep expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling.
• Strong programming skills in Python and experience with relevant libraries (e.g., scikit-learn, pandas).
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Excellent understanding of data engineering principles and MLOps practices.
• Strong leadership, communication, and interpersonal skills.
• Ability to think strategically and translate business problems into technical solutions.
• Experience with distributed computing frameworks (e.g., Spark) is a plus.

• Lead the design and architecture of end-to-end AI solutions, encompassing machine learning models, data pipelines, and deployment strategies.
• Collaborate with clients to understand their business challenges and translate them into innovative AI-driven solutions.
• Evaluate and recommend appropriate AI/ML technologies, frameworks, and platforms.
• Oversee the development and implementation phases, ensuring solutions are robust, scalable, and secure.
• Provide technical leadership and mentorship to AI/ML engineers and data scientists.
• Stay abreast of the latest advancements in AI, machine learning, and deep learning research and industry best practices.
• Develop proof-of-concepts (PoCs) and prototypes to demonstrate the value of AI solutions.
• Ensure the integration of AI solutions with existing IT infrastructure and business processes.
• Contribute to the company's intellectual property through research and development.
• Present technical strategies and solutions to clients and internal stakeholders.
• Manage project timelines and deliverables, ensuring successful project completion within scope and budget.

• Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 8 years of experience in AI/ML development, with at least 3 years in a solutions architecture or lead role.
• Deep understanding of various machine learning algorithms, statistical modelling, and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proven experience in designing and deploying scalable AI/ML systems in cloud environments (AWS, Azure, GCP).
• Strong programming skills in Python, R, or similar languages.
• Experience with big data technologies (e.g., Spark, Hadoop) and MLOps practices.
• Excellent communication, presentation, and client-facing skills.
• Ability to work effectively in a hybrid environment, managing remote collaboration and in-office engagements.
• Experience in consulting or client-facing roles is highly desirable.
• Must be able to attend our **London, England, UK** office for key meetings and collaborative work.

• Design, develop, and deploy AI and Machine Learning models and solutions.
• Implement and optimize AI algorithms for various applications.
• Collaborate with data scientists and engineers to build robust AI systems.
• Integrate AI solutions into existing business processes and platforms.
• Evaluate and adopt new AI/ML technologies and frameworks.
• Conduct research and development in cutting-edge AI fields.
• Translate business requirements into technical AI strategies.
• Ensure the performance, scalability, and ethical deployment of AI solutions.
• Present AI project findings and recommendations to stakeholders.
• Mentor junior engineers and contribute to knowledge sharing within the team.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven experience (5+ years) in developing and deploying AI/ML solutions.
• Strong expertise in machine learning algorithms, deep learning, NLP, and computer vision.
• Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras) and libraries (e.g., scikit-learn, Pandas).
• Experience with cloud AI services (e.g., AWS SageMaker, Azure ML, Google AI Platform).
• Solid understanding of software development best practices and programming languages (e.g., Python).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation abilities.
• Ability to work effectively in a hybrid team environment.

AI / Machine Learning Technical Consultant

Location: Weybridge, Surrey

Contract: 12 Months Fixed Term

Salary: £60,000 – £70,000 (depending on experience)

Please note my client will not sponsor visa's and you will need to have at least 2 years on your visa or be able to transfer to one that will take you over two years.

About the Role

We’re looking for an experienced AI / Machine Learning Technical Consultant with 3–5 years of industry experience to design, implement, and advise on intelligent AI/ML solutions that deliver real business value.

This is a chance to work at the cutting edge of AI innovation with one of the world’s most exciting and well-known electronics companies, helping shape how advanced technologies are applied globally. You’ll collaborate with international teams to build scalable AI systems, prototype new use cases, and push the boundaries of what’s possible in enterprise AI adoption.

Key Responsibilities

• Design and refine AI solutions including LLMs, retrieval-augmented generation (RAG), fine-tuning, and prompt engineering.
• Develop and integrate ML models into production systems across cloud and on-premise environments.
• Assess business processes and recommend AI opportunities aligned with strategic goals.
• Prototype, test, and optimise AI applications for performance and scalability.
• Stay at the forefront of emerging AI frameworks and evaluate their real-world potential.
• Work with cross-functional and international teams to define AI strategy and roadmaps.
• Translate complex AI capabilities into clear business value for stakeholders.

What We’re Looking For

Essential:

• Strong expertise in Generative AI, NLP, and Machine Learning.
• Proven hands-on experience with LLMs/SLMs (training, fine-tuning, optimisation).
• Skilled in Python, Java, and SQL/NoSQL databases.
• Experience with APIs, data integration, and web scraping/crawling.
• Practical exposure to open-source AI frameworks (e.g. Hugging Face, LangChain) and on-premise deployments.
• Strong consulting and communication skills.

Nice to Have:

• Experience with cloud AI platforms (AWS, Azure, GCP).
• Knowledge of solution architecture and ML algorithms.
• Previous consulting or advisory work with international teams.

What’s on Offer

• 25 days’ annual leave
• Discretionary performance-based bonus
• Defined contribution pension scheme
• Health and life assurance cover
• Private medical insurance
• Flexible benefits allowance (e.g. dental, travel insurance, gym)

If you want to help a global technology leader harness the power of AI, and you’re ready to make a real impact on how advanced solutions are built and deployed worldwide — we’d love to hear from you. Apply now.