150 AI Solutions jobs in London

Overview

AI Solutions Architect role at EXL in London, United Kingdom (flexible hybrid work).nRole

We are looking for a visionary and technically accomplished Generative AI Solutions Architect to lead client-facing initiatives in Generative and Agentic AI. This is a high-impact, senior consulting role combining deep technical expertise, solution architecture, and strategic client advisory. You will work with cross-functional teams to identify opportunities, design and architect robust AI solutions, and lead complex implementations that deliver measurable outcomes. You will help shape EXL’s strategy and market presence as a leader in Generative and Agentic AI innovation.nThis role offers the opportunity to work on pioneering AI projects with a global team, influencing AI strategy across major enterprise clients in industries such as banking, insurance, utilities, and travel. You will be part of a collaborative environment where innovation is encouraged and your contributions are valued.nResponsibilities

Client Advisory & Solutioning:

Engage directly with senior client stakeholders (including C-suite) to understand complex business challenges, identify GenAI and Agentic AI opportunities, and define project scope.nWorkshop Facilitation:

Design, lead, and facilitate high-impact client workshops and strategy sessions to identify and prioritise GenAI use cases and roadmap development.nTechnical Leadership & Architecture:

Design, architect, and oversee development and deployment of scalable GenAI and Agentic AI systems (including multi-agent workflows) for client and internal use.nProjects & Engagement Leadership:

Lead large-scale GenAI/Agentic AI projects from conception to deployment, manage cross-functional teams, and ensure timely delivery with clear success metrics (model performance, business impact, time-to-value).nChange Management & AI Adoption:

Support change management to drive GenAI adoption within client environments, including training and stakeholder enablement.nTechnical Mentorship:

Mentor technical teams in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic systems.nStakeholder Management:

Build and maintain relationships with internal and external stakeholders, communicating complex concepts clearly.nInnovation & IP Development:

Contribute to internal GenAI innovation through accelerators, reusable assets, and thought leadership (whitepapers, prototypes, demos, blogs).nInternal Collaboration:

Evangelise GenAI capabilities with business development and delivery teams to support proposals, PoCs, and capability development.nQuality & Best Practices:

Ensure adherence to software engineering principles, Agile methodologies, and responsible AI practices.nStaying Current:

Maintain deep expertise in GenAI, LLMs, and Agentic AI trends, tools, and technologies; contribute to practice development and delivery playbooks.nProposal Support:

Act as a solution architect in strategic pursuits, helping develop proposals, estimates, and delivery approaches for GenAI opportunities.nQualifications

Programming & Libraries:

Deep proficiency in Python and experience with AI/ML/NLP libraries (e.g., transformers, spaCy, NLTK).nLLM Expertise:

Experience developing applications with state-of-the-art LLMs (e.g., GPT, Llama, Mistral, Claude), including prompt engineering and fine-tuning.nGenAI & Agentic Frameworks:

Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI concepts (AutoGen, CrewAI, LangGraph, multi-agent collaboration).nAI Architecture:

Deep understanding of AI/ML system architecture, including microservices, event-driven patterns, RAG, Graph RAG, and multi-agent systems.nVector Databases & Embeddings:

Experience with embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS).nAdvanced AI Concepts:

Complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for AI systems.nSoftware Engineering:

Strong software engineering principles for scalable, maintainable AI products.nCloud Platforms & MLOps:

Deployment experience on major cloud platforms (AWS, Azure, GCP) and robust MLOps/LLMOps pipelines.nLeadership & Communication

Leadership:

Proven ability to lead diverse, global teams; strong communication skills to explain AI concepts to stakeholders.nProject Management:

Strong program management experience in Agile environments.nEducation & Experience:

Bachelor’s degree in CS/AI/ML or related field; Master’s or PhD preferred. Minimum 10 years in AI/ML/Data Science with at least 5 years in leadership roles; experience in solution architecture and client-facing delivery.nExperience & Delivery:

Track record of architecting and deploying large-scale AI projects, preferably GenAI/Agentic AI in enterprise settings; consulting or tech-provider background is a plus; global collaboration experience.nCompensation & Benefits

A competitive salary with a generous bonus, private healthcare, and life assurance; income protection insurance; and a pension plan.nEXL provides financial well-being solutions and a Cycle Scheme for cycling enthusiasts.nProfessional and personal development opportunities, learning initiatives, online courses, seminars, and workshops.nEXL is an Equal Opportunity Employer and supports diversity; does not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, or disability status.nEmployee stock purchase plan available.nFlexible hybrid working model.nEligibility:

To be considered for this role, you must already be eligible to work in the United Kingdom.nLondon, United Kingdom – London region job; postings show multiple nearby listings.

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Our client is a cutting-edge technology firm based in the heart of London, England, UK , seeking an experienced Lead AI Solutions Architect to drive the design and implementation of next-generation artificial intelligence solutions. This hybrid role requires a visionary leader with a deep understanding of machine learning, deep learning, natural language processing, and related AI technologies. You will be instrumental in shaping the company's AI strategy, translating business needs into robust technical architectures, and guiding a team of talented engineers.

Responsibilities:

• 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.

Qualifications:

• 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.

This hybrid position offers a blend of remote flexibility and in-office collaboration, providing an ideal work-life balance. You will have the opportunity to work on groundbreaking projects at the forefront of AI innovation.

Our client, a cutting-edge technology consultancy focused on Artificial Intelligence and Emerging Technologies, is seeking a Lead AI Solutions Architect to design and deliver transformative AI-driven solutions for their diverse clientele. This role offers a hybrid working arrangement, allowing for significant remote work alongside essential collaborative sessions at our prestigious **London, England, UK** office. You will be instrumental in defining AI strategies, architecting robust and scalable AI platforms, and guiding development teams to implement intelligent systems that solve complex business problems.

Responsibilities:

• 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.

Qualifications:

• 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.

This is a unique opportunity to shape the future of AI solutions with a forward-thinking firm. If you are a visionary architect passionate about leveraging AI to drive business transformation, we encourage you to apply.

Our client is seeking a dynamic and innovative AI Solutions Engineer to join their cutting-edge team focused on emerging technologies in London, England, UK . This role operates on a hybrid basis, offering a stimulating office environment combined with the flexibility of remote work. As an AI Solutions Engineer, you will be instrumental in designing, developing, and deploying advanced artificial intelligence and machine learning solutions to address complex business challenges. You will work with state-of-the-art AI/ML frameworks and tools, experimenting with novel approaches and translating research into practical applications. Your responsibilities will include building and training AI models, developing AI-powered systems, and integrating these solutions into existing infrastructure. You will collaborate closely with data scientists, software engineers, and product managers to define project roadmaps, architect AI solutions, and ensure successful implementation. A key aspect of this role involves staying at the forefront of AI research and development, evaluating new technologies, and identifying opportunities for innovation. The ideal candidate will possess a strong foundation in machine learning algorithms, deep learning, natural language processing, and computer vision. Proven experience with AI/ML platforms (e.g., TensorFlow, PyTorch, scikit-learn) and cloud environments (AWS, Azure, GCP) is essential. Excellent problem-solving skills, a creative mindset, and the ability to communicate complex technical concepts to diverse audiences are paramount. You will be expected to contribute to the strategic direction of AI initiatives and mentor junior team members. This is a unique opportunity to work on transformative AI projects and shape the future of technology.

Key Responsibilities:

• 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.

Qualifications:

• 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.

Join our client's pioneering team and contribute to groundbreaking AI innovations.

**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.In this role, you will lead a data science team charged with revolutionizing customer support by bringing state-of-the-art Generative AI and advanced AI capabilities to scale support for billions of users worldwide. This is a unique opportunity to shape the future of AI-driven customer experiences, working at the forefront of AI innovation in a company dedicated to pushing the boundaries of technology. You will lead a high impact team of data scientists and AI experts, collaborate with cross-functional leaders, and influence product strategy to deliver transformative AI-first solutions.We are looking for an experienced AI-native Data Science leader to help Meta bring state-of-the-art GenAI capabilities to our customer support area. We have a bold vision to scale customer support to billions of customers with AI-first offerings. Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted thought partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager, Customer Support AI Solutions Responsibilities:
1. Lead Strategic AI Initiatives: Define and drive the vision for applying advanced AI and Generative AI solutions to innovate and scale Meta's Customer Support experiences
2. Build and Inspire a High-Impact Team: Recruit, mentor, and develop a world-class team of data scientists and AI specialists, fostering a high-performance and collaborative environment
3. Deliver Impact at Scale: Ensure AI solutions are robust, scalable, and measurable, delivering clear business value and personalized customer experiences
4. Foster Cross-Functional Collaboration: Partner with product managers, engineers, operations, and leadership across Meta to integrate AI-first solutions that address critical business challenges
5. Champion Growth and Innovation: Advocate for ongoing learning, experimentation, and adoption of new AI approaches within your team and the broader Meta community
**Minimum Qualifications:**
Minimum Qualifications:
6. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
7. A minimum of 7 years of work experience (3+ years with a PhD) in applied quantitative field, including 2+ years of experience managing analytics teams
8. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
9. Experience communicating both in low-level technical details as well as high-level strategies
10. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
11. Experience with driving product roadmap and execution
**Preferred Qualifications:**
Preferred Qualifications:
12. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
13. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
14. 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space
15. A minimum of 2 years of experience working on consumer facing products
16. Prior experience deploying GenAI applications at scale with advanced working knowledge evaluating and measuring these systems
**Industry:** Internet

Senior IT Sales Executive - Retail & Consumer Goods (Data & AI Solutions)
Location:  UK Remote / London
Salary: £100,000 - £30,000 base + double OTE (uncapped)

My client, a leading global technology consultancy , is looking for a Senior Sales Executive to drive growth in the Retail & Consumer Goods sector . This is a high-impact IT/software sales role where you’ll be selling data and AI-powered solutions to some of the biggest names in retail and consumer goods.

This is an individual contributor role focused on new logo hunting . You’ll leverage your retail industry network to build relationships, win new clients, and deliver digital transformation through advanced data, analytics, and AI.

What you’ll do

• Develop and execute sales strategies for retail and consumer goods clients, with a focus on AI, analytics, and digital transformation.
li>Build strong, trusted relationships with senior decision-makers (CIOs, CDOs, business unit leaders).
• Identify and win new business opportunities, creating a robust sales pipeline.
• Lead full sales cycles from prospecting through to proposal, negotiation, and deal closure.
• Represent my client at key industry events, showcasing thought leadership in Retail & Consumer Goods technology.
• Stay ahead of industry trends such as customer personalisation, omnichannel commerce, AI-driven supply chains, and digital consumer engagement.

What you’ll bring

< i>Must-have: Proven experience in Retail & Consumer Goods sales – selling IT/software or consulting services into this industry. < i>A strong and stable career history with success driving long, complex sales cycles and closing high-value deals.
• 10+ years in enterprise technology sales or IT consulting business development.
• Excellent consultative selling, presentation, and negotiation skills.
• Established relationships across retail/CPG – ideally with senior executives (CIO, CDO, VPs).
< i>Strategic thinker, self-motivated, and entrepreneurial, with a passion for driving client transformation through technology.

Package

• £100,000 - £ 0,000 base salary + double OTE (uncapped).
< i>25 days holiday + bank holidays.
• Life Assurance + WeCare, private health insurance, wellness reimbursement, pension, Cycle to Work, season ticket loan.

If you’re a retail technology sales specialist with a track record of success and the network to deliver results, we’d love to hear from you.

Apply today and be part of a global consultancy shaping the future of Retail & Consumer Goods with Data & AI.

Senior IT Sales Executive - Retail & Consumer Goods (Data & AI Solutions)
Location:  UK Remote / London
Salary: £100,000 - £30,000 base + double OTE (uncapped)

My client, a leading global technology consultancy , is looking for a Senior Sales Executive to drive growth in the Retail & Consumer Goods sector . This is a high-impact IT/software sales role where you’ll be selling data and AI-powered solutions to some of the biggest names in retail and consumer goods.

This is an individual contributor role focused on new logo hunting . You’ll leverage your retail industry network to build relationships, win new clients, and deliver digital transformation through advanced data, analytics, and AI.

What you’ll do

• Develop and execute sales strategies for retail and consumer goods clients, with a focus on AI, analytics, and digital transformation.
li>Build strong, trusted relationships with senior decision-makers (CIOs, CDOs, business unit leaders).
• Identify and win new business opportunities, creating a robust sales pipeline.
• Lead full sales cycles from prospecting through to proposal, negotiation, and deal closure.
• Represent my client at key industry events, showcasing thought leadership in Retail & Consumer Goods technology.
• Stay ahead of industry trends such as customer personalisation, omnichannel commerce, AI-driven supply chains, and digital consumer engagement.

What you’ll bring

< i>Must-have: Proven experience in Retail & Consumer Goods sales – selling IT/software or consulting services into this industry. < i>A strong and stable career history with success driving long, complex sales cycles and closing high-value deals.
• 10+ years in enterprise technology sales or IT consulting business development.
• Excellent consultative selling, presentation, and negotiation skills.
• Established relationships across retail/CPG – ideally with senior executives (CIO, CDO, VPs).
< i>Strategic thinker, self-motivated, and entrepreneurial, with a passion for driving client transformation through technology.

Package

• £100,000 - £ 0,000 base salary + double OTE (uncapped).
< i>25 days holiday + bank holidays.
• Life Assurance + WeCare, private health insurance, wellness reimbursement, pension, Cycle to Work, season ticket loan.

If you’re a retail technology sales specialist with a track record of success and the network to deliver results, we’d love to hear from you.

Apply today and be part of a global consultancy shaping the future of Retail & Consumer Goods with Data & AI.

Job Description:

Royal Canin is undergoing a significant Digital Transformation journey. Our ability to solve the most critical problems across Mars in a User Centric way through Data & Analytics is fundamental to our growth ambition and transformation. Significant early success in this journey, and the introduction of many critical foundational capabilities, means that we are looking to accelerate our ability to solve problems and ultimately drive value for Mars Inc.

The opportunities are significant for Mars, and the opportunities for those working in this space are both hugely exciting and rewarding. Connecting and deriving break-through insight from our Royal Canin and Petcare data ecosystems, leveraging the rapidly growing world of external data to get closer to our customers and consumers than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain.

Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda.

The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization's mission of leveraging advanced technologies to drive innovation and efficiency across the organisation. The role will work closely with the Data Science Lead to develop and execute an AI and ML roadmap aligned with business goals and requirements.

What will be your key responsibilities?nServe as the technical lead for Generative AI and machine learning model deployment within RC D&A.nCollaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators.nDesign, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation.nDevelop and oversee the implementation of an MLOps and LLMOps strategy. Align and contribute towards the wider Petcare MLOps strategy.nReview code developed by the data science team to ensure solution can be deployed. Identify opportunities to optimize methodologies.nContribute to a high performing data science function through coaching data scientists and providing training on writing scalable code and good software engineering practices.nCreate repeatable, interpretable, dynamic and scalable model training pipelines that are incorporated into analytic data products through cloud web applications and APIs.nDefine key performance indicators (KPIs) and implement monitoring systems for deployed products to ensure continuous operational performance. Define strategy to handle incident management.nEngage with RC D&A Platform Lead and Platform Product Owner to scope, plan and implement accelerators.nStay updated with the latest advancements in MLOps. Apply relevant techniques into projects. Educate D&A on technological advancements in this area.nDocumentation: Maintain comprehensive documentation for model training pipelines, deployment processes, and code.nPartner with the Product Management squad model and provide advice on how inflight projects can utilise ML and AI to generate additional value.nWhat are we looking for?n5-7 years of experience working in a quantitative role preferably in the CPG, or retail industry.nProven track record of delivering value through AI/ML/Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively.nPartner with business leadership across functions and data science teams to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions.nEagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful teamnA strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and usenStrategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities.nEnsure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics.nAbility to translate business needs into analytical frameworks & superior verbal and written communication skillsnWorking understanding of ML Ops and DevOps frameworksnFamiliarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, DatabricksnWhat can you expect from Mars?nWork with diverse and talented Associates, all guided by the Five Principles.nJoin a purpose-driven company where we're striving to build the world we want tomorrow, today.nBest-in-class learning and development support from day one, including access to our in-house Mars University.nAn industry-competitive salary and benefits package, including company bonus.n#TBDDT

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.n#J-18808-Ljbffrn