1 to 25 of 7,155 AI Jobs in England

solutions architect for Industry 4.0 develops, designs, and oversees the implementation of scalable, reliable, and secure solutions. These systems leverage emerging technologies like the Industrial Internet of Things (IIoT), AI/ML, and cloud computing to improve efficiency, productivity, and decision-making for manufacturing operations. This role translates business requirements into technical blueprints, manages technology integration, and provides technical leadership … transformation journey. Support pre-sales activities, including responding to RFPs/RFIs and delivering solution demonstrations. Innovation & Best Practices: Stay up-to-date with the latest advancements in IIoT, AI, cloud computing, and other Industry 4.0 technologies. Contribute to the development of reusable frameworks, reference architectures, and accelerators to drive innovation and efficiency. Risk Assessment: Identify potential risks and impacts … databases, and real-time data streaming (e.g., Kafka). Understanding of IT/OT network fundamentals, microservices, APIs, and cybersecurity principles. Familiarity with latest technologies such as GenAI, Agentic AI etc. in the context of Industry 4.0. Manufacturing Domain Knowledge: Solid understanding of manufacturing operations, including production planning, scheduling, and quality management processes. Analytical Mindset: Strong problem-solving and analytical More ❯

Data Science & AI Graduate Scheme (Leeds) Your AI era starts now At Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere … driven by data. As a Data Science & AI Graduate, you wont be on the sidelines watching the algorithms run the show. Youll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether youre optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics … live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability. Because your career is more than your day job, youll get stuck More ❯

is a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a … findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. More ❯

and project leads, including on-site. Engineering platforms, databases, and data pipelines as part of broader delivery solutions. Training (inc. transfer learning and feature extraction) and deploying ML/AI models for prediction, detection, classification, etc. Writing or supporting software solutions that implement data science models, tools, and techniques. About the role: As a Senior Data Scientist, you will help … algorithms to transform and interrogate data. Visualise and communicate data and model and algorithm outputs for audiences of different levels of understanding. Use data science techniques, including ML/AI, to design and build solutions to customer problems, and work with software developers, data engineers and testers to implement and assure them. Work with data engineers and platform engineers to … design, implement and test data ingest pipelines. Work with other data scientists and ML and platform engineers to design, train, test and deploy ML/AI models. Test and compare the effectiveness of different mathematical and computational techniques for working with data. Conduct research into the application or development of new data science techniques, potentially collaborating with our expansive academic More ❯

and project leads, including on-site. Engineering platforms, databases, and data pipelines as part of broader delivery solutions. Training (inc. transfer learning and feature extraction) and deploying ML/AI models for prediction, detection, classification, etc. Writing or supporting software solutions that implement data science models, tools, and techniques. About the role: As a Senior Data Scientist, you will help … algorithms to transform and interrogate data. Visualise and communicate data and model and algorithm outputs for audiences of different levels of understanding. Use data science techniques, including ML/AI, to design and build solutions to customer problems, and work with software developers, data engineers and testers to implement and assure them. Work with data engineers and platform engineers to … design, implement and test data ingest pipelines. Work with other data scientists and ML and platform engineers to design, train, test and deploy ML/AI models. Test and compare the effectiveness of different mathematical and computational techniques for working with data. Conduct research into the application or development of new data science techniques, potentially collaborating with our expansive academic More ❯

and project leads, including on-site. Engineering platforms, databases, and data pipelines as part of broader delivery solutions. Training (inc. transfer learning and feature extraction) and deploying ML/AI models for prediction, detection, classification, etc. Writing or supporting software solutions that implement data science models, tools, and techniques. About the role: As a Senior Data Scientist, you will help … algorithms to transform and interrogate data. Visualise and communicate data and model and algorithm outputs for audiences of different levels of understanding. Use data science techniques, including ML/AI, to design and build solutions to customer problems, and work with software developers, data engineers and testers to implement and assure them. Work with data engineers and platform engineers to … design, implement and test data ingest pipelines. Work with other data scientists and ML and platform engineers to design, train, test and deploy ML/AI models. Test and compare the effectiveness of different mathematical and computational techniques for working with data. Conduct research into the application or development of new data science techniques, potentially collaborating with our expansive academic More ❯

A Senior ML Research Engineer is sought to join an innovative AI research team in Surrey, contributing to the development of advanced AI models and algorithms for speech, audio, and generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning and audio/speech processing, learning from peers and senior … while applying best practices in research, software development, and deployment to mobile platforms. This may include implementing and optimising deep learning models, designing evaluation pipelines, and working on generative AI technologies. Responsibilities include: Work with researchers and engineers to define AI model requirements and project specifications. Design, implement, and maintain machine learning models and algorithms, primarily for speech and audio … documentation for models, algorithms, and workflows. Support internal teams with technical queries and contribute to infrastructure/tools development for research projects. Key skills & experience: MSc/PhD in Artificial Intelligence, Computer Science, Electrical Engineering, Mathematics, or related discipline. Professional experience with Python; C++, Java, or Kotlin is a plus. Strong expertise in machine learning and deep learning, including training More ❯

Data Science and AI Industrial Placement (Leeds) Your AI era starts now At Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice … everywhere, driven by data. On our Data Science & AI Industrial Placement, you wont be on the sidelines watching the algorithms run the show. Youll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether youre optimising performance, unlocking insight or making predictions, everything you do will be rooted in data … and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, youll get More ❯

Data Science and AI Industrial Placement (Bristol) Your AI era starts now At Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice … everywhere, driven by data. On our Data Science & AI Industrial Placement, you wont be on the sidelines watching the algorithms run the show. Youll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether youre optimising performance, unlocking insight or making predictions, everything you do will be rooted in data … and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, youll get More ❯

Technically sharp AI Prompt Engineer Youll design and optimize prompts, build LLM-powered applications, and deploy scalable GenAI solutions that connect people and intelligent systems in new ways. ?? What Youll Do Design, test, and refine prompts for leading LLMs (GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of … Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices for scalable AI deployment. Use AI-powered dev tools like GitHub Copilot, Cursor, and Codeium to speed up iteration. Apply MLOps/LLMOps practices with MLflow, Weights & Biases … and collaboration skills. Curious, adaptable, and passionate about staying at the edge of Generative AI. ?? Nice to Have Experience with PromptOps tools (PromptLayer, Humanloop, LangFuse). Knowledge of ethical AI, bias mitigation, responsible AI principles. Bachelors or Masters degree in Computer Science, AI/ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere More ❯

month contract - Inside IR35 - Investment Banking Our leading investment banking client is looking for a AI Risk intern to join the team on a contract, bsaed out of the London office with a 50% office presence required. Team Overview: The role sits within the local RISK ALMT team , which: Reports directly to UK Risk Senior Management in London. Has a … Northern Europe Hub , one of three European hubs within the global RISK ALMT organisation, providing comprehensive risk coverage for these entities. Role Purpose: The intern will work primarily on AI use cases related to RISK ALMT responsibilities, collaborating with stakeholders to automate and industrialise tasks where relevant. Key Responsibilities: Develop and implement AI-driven solutions for risk management processes. Collaborate … model development for risk assessment. Required Skills & Experience: Technical Skills: Strong knowledge of Python , data science , and machine learning . Hands-on experience with Large Language Models (LLMs) and AI chatbots . Domain Knowledge: Good understanding of risk management principles. Familiarity with financial products is a plus. Ideal Candidate Profile: Analytical mindset with problem-solving skills. Masters level degree in More ❯

AI Evangelist - Financial Services (12-Month Contract) Location: Blackfriars, London (Onsite, 5 days per week) Contract: Inside IR35 Rate: £800 per day Duration: 12 months Role Overview We are seeking an AI Evangelist with strong financial services experience to lead the adoption and integration of advanced AI solutions across banking, trading, and insurance environments. This role combines technical leadership, strategic … advisory, and thought leadership to deliver AI-driven transformation in highly regulated, mission-critical settings. Key Responsibilities Financial AI Solutions: Design and implement AI-powered applications for investment banking, trading platforms, and insurance workflows. Business Translation: Convert complex AI concepts into actionable insights for technical teams and senior executives in financial contexts. Enablement & Training: Deliver workshops and training sessions focused … on AI adoption within banking and insurance operations. Thought Leadership: Produce technical blogs, white papers, and internal documentation showcasing AI's impact on financial innovation. Strategic Advisory: Advise C-level executives and heads of engineering/architecture on AI strategy aligned with financial regulations. Industry Engagement: Represent the organization at finance-focused conferences and forums to promote responsible AI adoption. More ❯

AI Evangelist - Financial Services (12-Month Contract) Location: Blackfriars, London (Onsite, 5 days per week) Contract: Inside IR35 Rate: £800 per day Duration: 12 months Role Overview We are seeking an AI Evangelist with strong financial services experience to lead the adoption and integration of advanced AI solutions across banking, trading, and insurance environments. This role combines technical leadership, strategic … advisory, and thought leadership to deliver AI-driven transformation in highly regulated, mission-critical settings. Key Responsibilities Financial AI Solutions: Design and implement AI-powered applications for investment banking, trading platforms, and insurance workflows. Business Translation: Convert complex AI concepts into actionable insights for technical teams and senior executives in financial contexts. Enablement & Training: Deliver workshops and training sessions focused … on AI adoption within banking and insurance operations. Thought Leadership: Produce technical blogs, white papers, and internal documentation showcasing AI's impact on financial innovation. Strategic Advisory: Advise C-level executives and heads of engineering/architecture on AI strategy aligned with financial regulations. Industry Engagement: Represent the organization at finance-focused conferences and forums to promote responsible AI adoption. More ❯

hackajob is collaborating with EY to connect them with exceptional tech professionals for this role. Senior Consultant, Data Engineer, AI&Data, UKI, London(1654633) Data Engineer Senior Consultant - Job Specification Location: London Position Overview We are seeking a highly skilled Data Engineer Senior Consultant with hands-on experience designing, building, and optimizing data solutions that enable advanced analytics and AI … finance, supply chain, energy, and commercial operations. Your Client Impact Design, develop, and deploy end-to-end data pipelines for complex business problems, supporting analytics, modernising data infrastructure and AI/ML initiatives. Design and implement data models, ETL/ELT workflows, and data integration solutions across structured and unstructured sources Collaborate with AI engineers, data scientists, and business analysts … technical data engineering solutions, including architecture decisions and technology selection. Contribute to proposals, technical assessments, and internal knowledge sharing. Data preparation, feature engineering, and MLOps activities to collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions Essential Qualifications Degree or equivalent certification in Computer Science, Data Engineering, Information Systems, Mathematics, or related quantitative field. Essential Criteria More ❯

hackajob is collaborating with EY to connect them with exceptional tech professionals for this role. Senior Consultant, Data Engineer, AI&Data, UKI, London(1654633) Data Engineer Senior Consultant - Job Specification Location: London Position Overview We are seeking a highly skilled Data Engineer Senior Consultant with hands-on experience designing, building, and optimizing data solutions that enable advanced analytics and AI … finance, supply chain, energy, and commercial operations. Your Client Impact Design, develop, and deploy end-to-end data pipelines for complex business problems, supporting analytics, modernising data infrastructure and AI/ML initiatives. Design and implement data models, ETL/ELT workflows, and data integration solutions across structured and unstructured sources Collaborate with AI engineers, data scientists, and business analysts … technical data engineering solutions, including architecture decisions and technology selection. Contribute to proposals, technical assessments, and internal knowledge sharing. Data preparation, feature engineering, and MLOps activities to collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions Essential Qualifications Degree or equivalent certification in Computer Science, Data Engineering, Information Systems, Mathematics, or related quantitative field. Essential Criteria More ❯

succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI Product Manager - Job Specification Grade – Senior Consultant Level Position Overview We are seeking an exceptional AI Product Manager to join our consulting practice, driving the development and deployment of cutting … edge AI solutions for our clients across consumer products, retail, health, life sciences, and energy sectors. This role requires a unique blend of technical depth, business acumen, and stakeholder management excellence to transform complex business challenges into scalable AI products. Client Impact Identify opportunities for AI/ML applications that deliver measurable business value Develop product roadmaps that balance innovation … actionable technical specifications Collaborate with data scientists, ML engineers, and architects to define technical solutions Write detailed user stories, acceptance criteria, and technical requirements documents Make informed decisions on AI/ML approaches, model selection, and technology stack by working closely with data scientists and ML engineers Evaluate and integrate emerging AI technologies and frameworks Manage product backlogs, sprint planning More ❯

succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI Product Manager - Job Specification Grade – Senior Consultant Level Position Overview We are seeking an exceptional AI Product Manager to join our consulting practice, driving the development and deployment of cutting … edge AI solutions for our clients across consumer products, retail, health, life sciences, and energy sectors. This role requires a unique blend of technical depth, business acumen, and stakeholder management excellence to transform complex business challenges into scalable AI products. Client Impact Identify opportunities for AI/ML applications that deliver measurable business value Develop product roadmaps that balance innovation … actionable technical specifications Collaborate with data scientists, ML engineers, and architects to define technical solutions Write detailed user stories, acceptance criteria, and technical requirements documents Make informed decisions on AI/ML approaches, model selection, and technology stack by working closely with data scientists and ML engineers Evaluate and integrate emerging AI technologies and frameworks Manage product backlogs, sprint planning More ❯

an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and … successful delivery of projects. Contribute to the development of internal tools and infrastructure to support research and development efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding … practical, production-ready solutions. Desirable Skills Experience with in generative AI, particularly in the context of audio/speech technologies. A strong publication record in top-tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR). Experience with open-source speech processing toolkits More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We're Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We're Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

definition of organisational data assets, and manipulating and linking different data sets across business units. This is a newly created department which focussed on driving transformation by leveraging analytics, AI and data science. Working with the latest technology stack, you will be involved in high profile projects and initiatives. We currently offer a flexible, hybrid working approach. What youll be … data-driven solutions. Act as a trusted advisor on data matters, providing guidance on best practices for data analysis and reporting. Actively support in future proofing the business applying AI, statistical and machine learning techniques to create predictive models that help anticipate client needs and enhance service offerings. Identify trends, patterns, and opportunities within complex datasets related to wealth management More ❯

automation. Engineer scalable analytical frameworks and reusable ML assets, integrating Python-based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation and model delivery. Collaborate with Data Architecture and Engineering to operationalise models through containerised MLOps environments (Kubernetes, CI/CD), enabling continuous learning, automated retraining, and … such as Actuarial Science, Mathematics, Statistics, Computer Science, or Data Science. Professional designation desirable: FIA, CFA, FRM, or equivalent quantitative credential. Continuous learning mindset — staying current with advances in AI, machine learning, and actuarial modelling practices. A strong quantitative foundation — ideally in Actuarial Science, Mathematics, Statistics, or Data Science, with experience applying it in insurance, reinsurance, or financial services. A More ❯

automation. Engineer scalable analytical frameworks and reusable ML assets, integrating Python-based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation and model delivery. Collaborate with Data Architecture and Engineering to operationalise models through containerised MLOps environments (Kubernetes, CI/CD), enabling continuous learning, automated retraining, and … such as Actuarial Science, Mathematics, Statistics, Computer Science, or Data Science. Professional designation desirable: FIA, CFA, FRM, or equivalent quantitative credential. Continuous learning mindset — staying current with advances in AI, machine learning, and actuarial modelling practices. A strong quantitative foundation — ideally in Actuarial Science, Mathematics, Statistics, or Data Science, with experience applying it in insurance, reinsurance, or financial services. A More ❯

behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to More ❯

behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to More ❯