101 to 125 of 829 Generative AI Jobs in the UK

Job description We are currently recruiting for an AI Platform Owner to join our London office. DEPARTMENT PURPOSE The core of the global technology departments mission is to provide stable, reliable, and secure platforms and services to our partners, staff and clients and fulfil our regulatory obligations across 30+ countries. To ensure that a consistent and standardized IT … offices to benefit from complete systems integration and economies of scale. We have around 500 technologists based predominantly in the UK, Singapore and increasingly in the US. The AI Platforms team is positioned to partner with the firms global AI leadership to evaluate and operationalize AI use cases in building the law firm of … and simplify the firms key technology building blocks by designing, building and managing the technology platforms which are fundamental to delivering the strategic business goals. ROLE PURPOSE The AI Platform Owner is responsible for defining, building, and evolving the firms AI platform capabilities to accelerate AI innovation across the firm. This role leads the More ❯

GenAI Python Developers x4 Location: Hybrid/London Available as permanent or contract: Contract Rate: £450–£500 per day (Inside IR35, initial 6-9 months) Permanent Salary: £65k–£75k per annum GenAI | Python | Enterprise AI Platform - Build the core of a next-gen Generative AI ecosystem for a global finance services business. If you … re a strong Python engineer who’s genuinely excited by the possibilities of GenAI in real enterprise environments, this is a brilliant opportunity. You’ll be working on a large-scale Generative AI platform that’s reshaping how a major global finance services business builds, deploys, and adopts AI across the business. Expect hands … automate, and operationalise LLM-driven services at scale. What You’ll Be Doing: Building backend services and APIs that give secure, governed access to LLM capabilities Developing Python-based GenAI components, including prompt orchestration and evaluation tooling Integrating LLMs with enterprise systems, observability layers, and security frameworks Designing and maintaining CI/CD pipelines using Azure DevOps Working closely with More ❯

GenAI Python Developers x4 Location: Hybrid/London Available as permanent or contract: Contract Rate: £450–£500 per day (Inside IR35, initial 6-9 months) Permanent Salary: £65k–£75k per annum GenAI | Python | Enterprise AI Platform - Build the core of a next-gen Generative AI ecosystem for a global finance services business. If you … re a strong Python engineer who’s genuinely excited by the possibilities of GenAI in real enterprise environments, this is a brilliant opportunity. You’ll be working on a large-scale Generative AI platform that’s reshaping how a major global finance services business builds, deploys, and adopts AI across the business. Expect hands … automate, and operationalise LLM-driven services at scale. What You’ll Be Doing: Building backend services and APIs that give secure, governed access to LLM capabilities Developing Python-based GenAI components, including prompt orchestration and evaluation tooling Integrating LLMs with enterprise systems, observability layers, and security frameworks Designing and maintaining CI/CD pipelines using Azure DevOps Working closely with More ❯

Generative AI capabilities — and we want you to lead the charge. Generative AI Architect We’re looking for a trailblazing Gen AI Architect to design and deploy next-gen autonomous systems that learn, reason, and make decisions at scale. This is a high-impact role at the intersection of cutting … and enterprise-grade deployment — perfect for someone who thrives in fast-paced, innovation-driven environments. What You’ll Build & Lead AI System Architecture : Architect scalable, modular Gen AI platforms that power real-time intelligence across domains. Foundation Model Engineering : Fine-tune and optimize LLMs, transformers, and diffusion models for enterprise-grade performance. Data Strategy : Lead data … lifecycle — training, evaluation, deployment, monitoring, and retraining. Neural Network Design : Push the boundaries of NLP, computer vision, and recommendation systems with custom deep learning architectures. Enterprise Integration : Embed Gen AI into core business platforms via APIs, microservices, and cloud-native deployments. Responsible AI : Champion ethical, transparent, and bias-aware AI practices across all solutions. More ❯

Head of Artificial Intelligence (AI) Location: Manchester Salary: Excellent Salary + Bonus + Car Allowance + Benefits Shape the Future of AI Join an award-winning, internationally recognised SaaS leader as their Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you … will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance The Role Own the company's AI strategy and identify high-value opportunities Lead AI initiatives from vision through … to production deployment Build business cases that influence senior stakeholders Empower teams to scale AI across the organisation Maintain technology RADAR and manage AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL More ❯

Head of Artificial Intelligence (AI) Location: Manchester Salary: Excellent Salary + Bonus + Car Allowance + Benefits Shape the Future of AI Join an award-winning, internationally recognised SaaS leader as their Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you … will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance The Role Own the company's AI strategy and identify high-value opportunities Lead AI initiatives from vision through … to production deployment Build business cases that influence senior stakeholders Empower teams to scale AI across the organisation Maintain technology RADAR and manage AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL More ❯

of a high-performing team supporting the firm on a hugely varied and interesting range of legal and commercial matters. You'll work on cutting-edge matters including Generative AI implementation, large-scale procurement contracts, complex technology agreements, and strategic member firm arrangements across the Deloitte network. We're looking for a talented and experienced lawyer … and initiatives IP matters: Trademark and brand protection Member firm arrangements with other Deloitte firms across the network Regulatory matters relating to commercial arrangements Implementation and use of Generative AI and other new technologies Qualifications Experienced and confident lawyer with a proven ability to work on a wide variety of commercial matters (including non-contentious and … handle sensitive information and situations Alignment and behaviour consistent with our Shared Values In-house experience (some Professional Services or equivalent large complex organisational experience) Experience working on Generative AI or emerging technology matters Hybrid Working Policy You'll be based in London with hybrid working. At Deloitte we understand the importance of balancing your career More ❯

Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with … fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track … record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a More ❯

Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with … fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track … record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a More ❯

Architect with hands-on experience designing and delivering Vertex AI-based solutions. The role focuses on practical architecture, solution design, and guiding engineering teams to build ML, GenAI, and data-driven applications on Google Cloud. You should be strong in GCP fundamentals, comfortable working with AI/ML workflows, and confident in translating business needs into … technical architectures that can be delivered reliably. Responsibilities Design AI/ML and GenAI solution architectures on GCP using Vertex AI , BigQuery, Cloud Run, Cloud Functions, and GCS. Set up and configure Vertex AI components (Workbench, Pipelines, Model Registry, Feature Store, Vector Search, Model Deployment). Work with teams to design ML workflows, including … of Google Cloud Platform architecture: IAM, VPC, networking, compute, logging, monitoring . Hands-on experience with Vertex AI , including model training, deployment, tuning, and pipelines. Experience implementing GenAI/LLM -based solutions (Gemini, RAG, embeddings, vector stores). Knowledge of core machine learning concepts and ability to work with data scientists/ML engineers. Proficiency with Python, ML More ❯

purpose: building tomorrow’s world today. Day by day, we support our customers' development strategies as well as their technological and sustainability transformation. Key Responsibilities 1. Hands-On AI Solution Development in ALTEN Projects Analyse ALTEN Structured Projects to identify AI integration opportunities for productivity, quality, or innovation gains. Design, code, train, and test AI … . Perform effort estimation and model validation and monitor deployment success and cost-performance trade-offs. Collaborate closely with local technical leads while owning the technical delivery of AI capabilities. 2. Technical AI Leadership in Tenders and Bids Assess customer tenders to identify opportunities for AI-driven innovation. Design working AI prototypes … or demos to demonstrate feasibility and value. Contribute precise technical descriptions and implementation plans for inclusion in proposals. Represent ALTEN’s AI capabilities in technical discussions with clients. 3. Pre-Sales AI Support Join business development teams during client meetings to demonstrate working AI use cases and platforms. Co-develop and present tailored AI More ❯

purpose: building tomorrow’s world today. Day by day, we support our customers' development strategies as well as their technological and sustainability transformation. Key Responsibilities 1. Hands-On AI Solution Development in ALTEN Projects Analyse ALTEN Structured Projects to identify AI integration opportunities for productivity, quality, or innovation gains. Design, code, train, and test AI … . Perform effort estimation and model validation and monitor deployment success and cost-performance trade-offs. Collaborate closely with local technical leads while owning the technical delivery of AI capabilities. 2. Technical AI Leadership in Tenders and Bids Assess customer tenders to identify opportunities for AI-driven innovation. Design working AI prototypes … or demos to demonstrate feasibility and value. Contribute precise technical descriptions and implementation plans for inclusion in proposals. Represent ALTEN’s AI capabilities in technical discussions with clients. 3. Pre-Sales AI Support Join business development teams during client meetings to demonstrate working AI use cases and platforms. Co-develop and present tailored AI More ❯

Enterprise AI Lead | Drive AI Transformation Across the Enterprise 📍 Location: Bromley (Hybrid) 🏢 Ascendion 🕒 Full-time About the Role Ascendion is seeking an Enterprise AI Lead to design, build, and scale our enterprise-wide AI operating model — driving how AI, data, and automation come together to transform business outcomes. This is … a strategic yet hands-on leadership opportunity for a technical expert who can define the AI strategy, architecture, and execution roadmap , while guiding teams in deploying scalable, reliable, and ethical AI solutions across the organization. What You’ll Do Define and implement the AI strategy, operating model, and governance structure . 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 More ❯

Architect with hands-on experience designing and delivering Vertex AI–based solutions. The role focuses on practical architecture, solution design, and guiding engineering teams to build ML, GenAI, and data-driven applications on Google Cloud. You should be strong in GCP fundamentals, comfortable working with AI/ML workflows, and confident in translating business needs into … technical architectures that can be delivered reliably. Responsibilities Design AI/ML and GenAI solution architectures on GCP using Vertex AI, BigQuery, Cloud Run, Cloud Functions, and GCS. Set up and configure Vertex AI components (Workbench, Pipelines, Model Registry, Feature Store, Vector Search, Model Deployment). Work with teams to design ML workflows, including … understanding of Google Cloud Platform architecture: IAM, VPC, networking, compute, logging, monitoring. Hands-on experience with Vertex AI, including model training, deployment, tuning, and pipelines. Experience implementing GenAI/LLM-based solutions (Gemini, RAG, embeddings, vector stores). Knowledge of core machine learning concepts and ability to work with data scientists/ML engineers. Proficiency with Python, ML More ❯

SVP of Data Science & AI (FS AI Innovation) Relocate to Dubai/Abu Dhabi Tax Free Salary: 70-80k AED p/m circa $400,000 AUD p/y + benefits We're hiring a SVP of Data Science & AI to lead the AI and data innovation strategy within a … high-impact, enterprise-level AI Innovation Hub for one of the regions biggest banks. This is a senior leadership opportunity where you'll shape and deliver transformative AI solutions across multiple business units. What You’ll Be Doing: Lead the Data Science vertical for a large-scale AI Innovation Hub Build and mentor multidisciplinary … teams of data scientists and ML experts Develop and deploy AI use cases that solve real commercial problems Design and implement scalable machine learning, NLP, and deep learning models Work cross-functionally with product, tech, and business stakeholders to drive data-first decision making Build data pipelines, predictive models, and advanced analytics frameworks to accelerate data maturity Own More ❯

SVP of Data Science & AI (FS AI Innovation) Relocate to Dubai/Abu Dhabi Tax Free Salary: 70-80k AED p/m circa $400,000 AUD p/y + benefits We're hiring a SVP of Data Science & AI to lead the AI and data innovation strategy within a … high-impact, enterprise-level AI Innovation Hub for one of the regions biggest banks. This is a senior leadership opportunity where you'll shape and deliver transformative AI solutions across multiple business units. What You’ll Be Doing: Lead the Data Science vertical for a large-scale AI Innovation Hub Build and mentor multidisciplinary … teams of data scientists and ML experts Develop and deploy AI use cases that solve real commercial problems Design and implement scalable machine learning, NLP, and deep learning models Work cross-functionally with product, tech, and business stakeholders to drive data-first decision making Build data pipelines, predictive models, and advanced analytics frameworks to accelerate data maturity Own More ❯

Senior Generative AI Engineer London (2 days per week on-site) Up to £110,000 + bonus + benefits Permanent, hybrid (2 days in London) Method has partnered with a UK technology consultancy pushing the boundaries of applied generative AI-scaling agentic, goal-driven systems into production. We build intelligent agents that More ❯

Head of AI Logistics Company (Up to £180,000 per annum + Equity) London (3 days per week in office) La Fosse has partnered with an ambitious AI-driven logistics company that’s redefining how supply chains operate. They are seeking a Head of AI to lead the next stage of their technical innovation. … This is a hands-on leadership role where you’ll define the AI vision, drive research and production initiatives, and deliver intelligent systems that create measurable impact across logistics operations. What you’ll be doing: Lead the design and deployment of next-generation AI systems across Generative AI, Computer Vision, Forecasting, and … Optimisation. Build and lead a world-class team of data scientists and ML engineers, setting technical direction and best practices across the company. Oversee the full AI lifecycle from experimentation and model development to robust ML deployment on Azure. Explore cutting-edge approaches in foundation models, agentic AI, and multimodal learning to enhance decision-making and More ❯

Head of AI Logistics Company (Up to £180,000 per annum + Equity) London (3 days per week in office) La Fosse has partnered with an ambitious AI-driven logistics company that’s redefining how supply chains operate. They are seeking a Head of AI to lead the next stage of their technical innovation. … This is a hands-on leadership role where you’ll define the AI vision, drive research and production initiatives, and deliver intelligent systems that create measurable impact across logistics operations. What you’ll be doing: Lead the design and deployment of next-generation AI systems across Generative AI, Computer Vision, Forecasting, and … Optimisation. Build and lead a world-class team of data scientists and ML engineers, setting technical direction and best practices across the company. Oversee the full AI lifecycle from experimentation and model development to robust ML deployment on Azure. Explore cutting-edge approaches in foundation models, agentic AI, and multimodal learning to enhance decision-making and More ❯

AI Automation Engineer | Hybrid 3 days a week in office | London | Permanent A leading financial services client in London is seeking a talented AI Automation Engineer to join their team. Please see below for key details. Role Overview: Analyse and optimise business processes for automation whilst designing, building, and deploying intelligent automation solutions using BPA platforms … Appian), Machine Learning, and Generative AI to drive operational efficiency and innovation. Key Characteristics: Process Analysis & Optimisation - Expert in analysing existing business processes through stakeholder interviews, process mapping, and workflow documentation to identify automation opportunities. Skilled in creating process flow diagrams, conducting time-motion studies, identifying bottlenecks and inefficiencies, and redesigning processes to be machine-readable … training and deployment. Understanding of model governance, explainability, and compliance requirements. Solution Architecture & Technical Design - Ability to design end-to-end automation architectures that combine multiple technologies (BPA, ML, GenAI, APIs) into cohesive solutions. Experience creating technical design documents, system architecture diagrams, assessing build vs. buy decisions, estimating effort and complexity, and presenting technical recommendations to both technical and non More ❯

AI Automation Engineer | Hybrid 3 days a week in office | London | Permanent A leading financial services client in London is seeking a talented AI Automation Engineer to join their team. Please see below for key details. Role Overview: Analyse and optimise business processes for automation whilst designing, building, and deploying intelligent automation solutions using BPA platforms … Appian), Machine Learning, and Generative AI to drive operational efficiency and innovation. Key Characteristics: Process Analysis & Optimisation - Expert in analysing existing business processes through stakeholder interviews, process mapping, and workflow documentation to identify automation opportunities. Skilled in creating process flow diagrams, conducting time-motion studies, identifying bottlenecks and inefficiencies, and redesigning processes to be machine-readable … training and deployment. Understanding of model governance, explainability, and compliance requirements. Solution Architecture & Technical Design - Ability to design end-to-end automation architectures that combine multiple technologies (BPA, ML, GenAI, APIs) into cohesive solutions. Experience creating technical design documents, system architecture diagrams, assessing build vs. buy decisions, estimating effort and complexity, and presenting technical recommendations to both technical and non More ❯

AI Automation Engineer Hybrid 3 days a week in office London Permanent A leading financial services client in London is seeking a talented AI Automation Engineer to join their team. Please see below for key details. Role Overview:Analyse and optimise business processes for automation whilst designing, building, and deploying intelligent automation solutions using BPA platforms … Appian), Machine Learning, and Generative AI to drive operational efficiency and innovation. Key Characteristics: Process Analysis & Optimisation- Expert in analysing existing business processes through stakeholder interviews, process mapping, and workflow documentation to identify automation opportunities. Skilled in creating process flow diagrams, conducting time-motion studies, identifying bottlenecks and inefficiencies, and redesigning processes to be machine-readable … training and deployment. Understanding of model governance, explainability, and compliance requirements. Solution Architecture & Technical Design- Ability to design end-to-end automation architectures that combine multiple technologies (BPA, ML, GenAI, APIs) into cohesive solutions. Experience creating technical design documents, system architecture diagrams, assessing build vs. buy decisions, estimating effort and complexity, and presenting technical recommendations to both technical and non More ❯

AI Automation Engineer | Hybrid 3 days a week in office | London | Permanent A leading financial services client in London is seeking a talented AI Automation Engineer to join their team. Please see below for key details. Role Overview:Analyse and optimise business processes for automation whilst designing, building, and deploying intelligent automation solutions using BPA platforms … Appian), Machine Learning, and Generative AI to drive operational efficiency and innovation. Key Characteristics: Process Analysis & Optimisation- Expert in analysing existing business processes through stakeholder interviews, process mapping, and workflow documentation to identify automation opportunities. Skilled in creating process flow diagrams, conducting time-motion studies, identifying bottlenecks and inefficiencies, and redesigning processes to be machine-readable … training and deployment. Understanding of model governance, explainability, and compliance requirements. Solution Architecture & Technical Design- Ability to design end-to-end automation architectures that combine multiple technologies (BPA, ML, GenAI, APIs) into cohesive solutions. Experience creating technical design documents, system architecture diagrams, assessing build vs. buy decisions, estimating effort and complexity, and presenting technical recommendations to both technical and non More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools … LangChain, Azure OpenAI, Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills 2–4 years in production-level AI/ML delivery. Legal/professional … services experience is a plus. AI/ML frameworks: PyTorch, TensorFlow, LangChain. Cloud: Azure (preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools … LangChain, Azure OpenAI, Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills 2–4 years in production-level AI/ML delivery. Legal/professional … services experience is a plus. AI/ML frameworks: PyTorch, TensorFlow, LangChain. Cloud: Azure (preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. More ❯