Artificial Intelligence Engineer

We have partnered with a forward-thinking financial services organisation that is reimagining how AI can be used to power smarter decision-making, enhance customer experience, and unlock new commercial opportunities. From predictive analytics and intelligent automation to LLM-driven insights and generative AI solutions, this business is building a next-generation AI ecosystem that blends innovation with real-world impact.About the role: The AI Engineer will work at the intersection of data science and engineering to design, optimise, and deploy advanced AI models at scale. You'll play a key role in building robust ML pipelines, integrating with Azure AI services, and developing production-ready APIs that bring machine learning into live customer and operational environments.About you:Proven experience as an AI or ML Engineer within financial services or fintechStrong skills in Python, TensorFlow, PyTorch, and MLflowHands-on experience with LLMs, vector databases (e.g. Pinecone, FAISS), and generative AI frameworksDeep understanding of MLOps, containerisation (Docker, Kubernetes), and cloud-based AI platforms (preferably Azure AI or OpenAI services via Azure)Strong problem-solving mindset and ability to work in fast-moving environments

We have partnered with a leading financial institution that is transforming how it uses data and AI to shape products, strategy, and customer experience. The organisation is embedding advanced analytics, machine learning, and generative AI across its ecosystem, from intelligent automation and risk modelling to customer personalisation and next-generation insights.About the role: The Data Scientist will design and deliver analytical and machine learning models that directly influence commercial and operational decisions. You'll work closely with engineering and product teams to explore new data applications, including LLM-driven insights, predictive analytics, AI-powered automation and ensure solutions are scalable across the Azure environment.About you:4-7 years of data science experience, ideally within banking, fintech, or financial servicesStrong proficiency in Python, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch)Familiarity with LLMs, vector databases, and generative AI frameworks is a plusExperience working within cloud data platforms (Azure, AWS, or GCP)Excellent communication skills and proven ability to translate complex data into actionable insights

We have partnered with a financial services client building a next-generation AI and ML infrastructure to power advanced analytics, automation, and customer intelligence across the business. The organisation is scaling its platform around Azure AI tools, MLOps pipelines, and large language model deployment, creating a cloud-first ecosystem designed for innovation and reliability.About the role: The DevOps Engineer will design, automate, and optimise the cloud infrastructure supporting AI and ML workloads. You'll work closely with data science and engineering teams to ensure seamless model deployment, scalability, and performance across environments. This includes implementing CI/CD pipelines, container orchestration, and end-to-end observability for production-grade AI systems.About you:5+ years of DevOps or Cloud Engineering experience, ideally within financial servicesStrong experience with Azure (including Azure Machine Learning, Azure AI Foundry, Cognitive Services, and related AI tools)Strong skills in Python, TensorFlow, PyTorch, and MLflowHands-on experience with LLMs, vector databases (e.g. Pinecone, FAISS), and generative AI frameworksDeep understanding of MLOps, containerisation (Docker, Kubernetes), and cloud-based AI platforms (preferably Azure AI or OpenAI services via Azure)Strong problem-solving mindset and ability to work in fast-moving environments

We have partnered with a major semi-government organisation embarking on a digital transformation programme that will redefine citizen and customer experiences. The Head of Digital Delivery will play a pivotal role in leading programme execution across multiple digital platforms and services.About the role: You'll be responsible for overseeing large-scale digital initiatives, from strategy through delivery, ensuring alignment with business objectives, timelines, and budgets. The role covers delivery governance, vendor management, and coordination across IT, business, and external partners.You will lead a delivery team spanning project managers, business analysts, and technical leads, ensuring projects are executed to the highest standards while maintaining stakeholder confidence and programme visibility.About you: You'll have a proven background in digital transformation delivery within government, semi-government, or large enterprise environments. Experience leading multi-million-dirham projects across digital platforms, mobile apps, and citizen services is essential.You combine strong leadership and governance capability with an ability to manage complex stakeholder environments. A background in technology or consulting would be highly advantageous

We have partnered with a high-growth SaaS company scaling its operations from the UAE. The business provides a B2B platform used by enterprise clients globally, and this role will own the roadmap and end-to-end delivery of key product features.About the role: You'll drive the product vision, balancing customer needs with technical feasibility and business impact. Working closely with engineering, design, and commercial teams, you'll manage the full lifecycle - from discovery and validation to launch and iteration.The Senior Product Manager will take ownership of product performance metrics, using data to guide prioritisation and identify opportunities to improve engagement, retention, and monetisation.About you: You'll bring at least 6-8 years of experience in product management within SaaS or enterprise B2B technology companies. You're comfortable working in fast-moving environments and can translate complex business requirements into simple, scalable product experiences.Strong understanding of product analytics, experimentation, and agile delivery is expected. Experience working on multi-tenant SaaS products or platforms with enterprise integrations will be highly valued.

We have partnered with a growing FinTech as they continue to scale their data and AI capabilities across the region. This is a newly created role to lead the Data & AI function, shaping strategy, delivery, and adoption across the organisation.About the role: The Head of Data & AI will define and implement the companies' data and AI roadmap, ensuring data integrity, analytics maturity, and the integration of AI across key business areas. This includes building scalable data platforms, leading data science initiatives, and partnering with technology and business teams to drive value from data.You'll lead a cross-functional team covering data engineering, data science, and analytics, with a focus on enabling decision intelligence, predictive modelling, and GenAI applications that enhance customer experience and operational efficiency.About you: You will have a strong background in data leadership within banking or fintech, with proven experience building data strategies, platforms, and teams. You bring a mix of technical depth and commercial understanding, and have delivered measurable impact through AI and machine learning initiatives.Experience working with modern cloud-based data stacks (e.g. AWS, Azure, GCP) and analytics platforms is essential. Previous exposure to regulatory data governance within financial services will be an advantage.

AI/ Machine Learning Engineer (NLP / LLM) - ContractDuration: 6 monthsRate: Up to £500 per dayIR35: OutsideLocation: Fully Remote (occasional ad-hoc travel to office)The Role:A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability.Experience Requirements:Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch.Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5).Solid background in data science and machine learning, including model development, training, evaluation, and deployment.Experience building and deploying chatbots or conversational AI systems.Knowledge of MLOps tools and pipelines for model versioning and deployment.If you are available and interested in a 6-month Outside IR35 contract, please apply in the first instance and you will be contacted to discuss the position further.

Senior Data EngineerRate: up to £450/day Outside IR35Contract Length: 6 Months (with likely extension)Location: Hybrid - 1 day per week onsite in Central LondonWorking hours: 9am - 5pm - Monday - FridayAn established international organisation is seeking a Senior Data Engineer to join their growing Data & Middleware function, driving innovation and excellence across complex data ecosystems. This is a fantastic opportunity to shape the future of a large-scale data transformation programme, working on high-impact projects that enable data-driven decision-making.Responsibilities for the Senior Data Engineer:Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standardsLeverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insightsLead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps and CI/CD best practices within the data functionContribute to the evolution of a modern event-sourcing architecture, enabling efficient data modelling, streaming, and transformation across platformsCollaborate with cross-functional teams - including Business Analysts, Product Owners, and fellow Senior Data Engineers - to translate business needs into robust technical solutionsChampion data governance, privacy, and security best practices, ensuring compliance and protection of customer dataContinuously improve existing systems, introducing new technologies and methodologies that enhance efficiency, scalability, and cost optimisationEssential Skills for the Senior Data Engineer:Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streamingStrong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelinesAdvanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions)Managing and querying data lakes or Lakehouse'sExcellent communication skills with the ability to explain complex technical concepts clearly and persuasivelyDesirable Skills for the Senior Data Engineer:Experience with event sourcing, dbt, or related data transformation toolsFamiliarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric)Understanding of machine learning model enablement and operationalisation within data architecturesExperience working within Agile delivery environmentsIf you are an experienced Senior Data Engineer with strong expertise in Databricks, Azure, and data architecture design, looking for a hands-on role where you can influence technical direction and drive meaningful change, please apply in the immediate instance. Data Engineer, Senior Data Engineer

Senior DevOps Engineer - £600 per day (Inside IR35) - Contract Location: Hybrid / LiverpoolIR35: InsideDuration: 6 monthsThe role:A leading Public Sector client are seeking a Senior DevOps Engineer. The role involves shaping and maintaining a modern cloud infrastructure that supports critical applications across customer, supplier, and internal platformsThis is an initial 6-month contract, requiring up to 2 days per week in Liverpool.Experience Requirements:Cloud Platforms: Proven experience with AWS and Azure.Infrastructure as Code: Advanced proficiency with Terraform.Containerisation & Orchestration: Deep understanding of Docker and Kubernetes (ECS / EKS).Continuous Integration / Delivery: Skilled in managing CI/CD pipelines using Jenkins and GitHub Actions.Programming: Working knowledge of Go, Python, and JavaScript for automation and tooling.Responsibilities:Lead the development and operational support of secure, scalable web services.Champion automation across deployment, configuration, and monitoring processes.Govern and optimise multi-environment infrastructure using code-driven approaches.Develop robust internal tools and frameworks to enhance infrastructure reliability and performance.Collaborate with cross-functional teams to embed DevOps principles and promote a culture of continuous improvement.If available and interested, please apply in the first instance and you will be contacted to discuss the position further

We have partnered with a forward-thinking financial services organisation that is reimagining how AI can be used to power smarter decision-making, enhance customer experience, and unlock new commercial opportunities. From predictive analytics and intelligent automation to LLM-driven insights and generative AI solutions, this business is building a next-generation AI ecosystem that blends innovation with real-world impact.About the role: The AI Engineer will work at the intersection of data science and engineering to design, optimise, and deploy advanced AI models at scale. You'll play a key role in building robust ML pipelines, integrating with Azure AI services, and developing production-ready APIs that bring machine learning into live customer and operational environments.About you:Proven experience as an AI or ML Engineer within financial services or fintechStrong skills in Python, TensorFlow, PyTorch, and MLflowHands-on experience with LLMs, vector databases (e.g. Pinecone, FAISS), and generative AI frameworksDeep understanding of MLOps, containerisation (Docker, Kubernetes), and cloud-based AI platforms (preferably Azure AI or OpenAI services via Azure)Strong problem-solving mindset and ability to work in fast-moving environments

We have partnered with a leading financial institution that is transforming how it uses data and AI to shape products, strategy, and customer experience. The organisation is embedding advanced analytics, machine learning, and generative AI across its ecosystem, from intelligent automation and risk modelling to customer personalisation and next-generation insights.About the role: The Data Scientist will design and deliver analytical and machine learning models that directly influence commercial and operational decisions. You'll work closely with engineering and product teams to explore new data applications, including LLM-driven insights, predictive analytics, AI-powered automation and ensure solutions are scalable across the Azure environment.About you:4-7 years of data science experience, ideally within banking, fintech, or financial servicesStrong proficiency in Python, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch)Familiarity with LLMs, vector databases, and generative AI frameworks is a plusExperience working within cloud data platforms (Azure, AWS, or GCP)Excellent communication skills and proven ability to translate complex data into actionable insights

We have partnered with a financial services client building a next-generation AI and ML infrastructure to power advanced analytics, automation, and customer intelligence across the business. The organisation is scaling its platform around Azure AI tools, MLOps pipelines, and large language model deployment, creating a cloud-first ecosystem designed for innovation and reliability.About the role: The DevOps Engineer will design, automate, and optimise the cloud infrastructure supporting AI and ML workloads. You'll work closely with data science and engineering teams to ensure seamless model deployment, scalability, and performance across environments. This includes implementing CI/CD pipelines, container orchestration, and end-to-end observability for production-grade AI systems.About you:5+ years of DevOps or Cloud Engineering experience, ideally within financial servicesStrong experience with Azure (including Azure Machine Learning, Azure AI Foundry, Cognitive Services, and related AI tools)Strong skills in Python, TensorFlow, PyTorch, and MLflowHands-on experience with LLMs, vector databases (e.g. Pinecone, FAISS), and generative AI frameworksDeep understanding of MLOps, containerisation (Docker, Kubernetes), and cloud-based AI platforms (preferably Azure AI or OpenAI services via Azure)Strong problem-solving mindset and ability to work in fast-moving environments

We have partnered with a major semi-government organisation embarking on a digital transformation programme that will redefine citizen and customer experiences. The Head of Digital Delivery will play a pivotal role in leading programme execution across multiple digital platforms and services.About the role: You'll be responsible for overseeing large-scale digital initiatives, from strategy through delivery, ensuring alignment with business objectives, timelines, and budgets. The role covers delivery governance, vendor management, and coordination across IT, business, and external partners.You will lead a delivery team spanning project managers, business analysts, and technical leads, ensuring projects are executed to the highest standards while maintaining stakeholder confidence and programme visibility.About you: You'll have a proven background in digital transformation delivery within government, semi-government, or large enterprise environments. Experience leading multi-million-dirham projects across digital platforms, mobile apps, and citizen services is essential.You combine strong leadership and governance capability with an ability to manage complex stakeholder environments. A background in technology or consulting would be highly advantageous

We have partnered with a high-growth SaaS company scaling its operations from the UAE. The business provides a B2B platform used by enterprise clients globally, and this role will own the roadmap and end-to-end delivery of key product features.About the role: You'll drive the product vision, balancing customer needs with technical feasibility and business impact. Working closely with engineering, design, and commercial teams, you'll manage the full lifecycle - from discovery and validation to launch and iteration.The Senior Product Manager will take ownership of product performance metrics, using data to guide prioritisation and identify opportunities to improve engagement, retention, and monetisation.About you: You'll bring at least 6-8 years of experience in product management within SaaS or enterprise B2B technology companies. You're comfortable working in fast-moving environments and can translate complex business requirements into simple, scalable product experiences.Strong understanding of product analytics, experimentation, and agile delivery is expected. Experience working on multi-tenant SaaS products or platforms with enterprise integrations will be highly valued.

We have partnered with a growing FinTech as they continue to scale their data and AI capabilities across the region. This is a newly created role to lead the Data & AI function, shaping strategy, delivery, and adoption across the organisation.About the role: The Head of Data & AI will define and implement the companies' data and AI roadmap, ensuring data integrity, analytics maturity, and the integration of AI across key business areas. This includes building scalable data platforms, leading data science initiatives, and partnering with technology and business teams to drive value from data.You'll lead a cross-functional team covering data engineering, data science, and analytics, with a focus on enabling decision intelligence, predictive modelling, and GenAI applications that enhance customer experience and operational efficiency.About you: You will have a strong background in data leadership within banking or fintech, with proven experience building data strategies, platforms, and teams. You bring a mix of technical depth and commercial understanding, and have delivered measurable impact through AI and machine learning initiatives.Experience working with modern cloud-based data stacks (e.g. AWS, Azure, GCP) and analytics platforms is essential. Previous exposure to regulatory data governance within financial services will be an advantage.

AI/ Machine Learning Engineer (NLP / LLM) - ContractDuration: 6 monthsRate: Up to £500 per dayIR35: OutsideLocation: Fully Remote (occasional ad-hoc travel to office)The Role:A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability.Experience Requirements:Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch.Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5).Solid background in data science and machine learning, including model development, training, evaluation, and deployment.Experience building and deploying chatbots or conversational AI systems.Knowledge of MLOps tools and pipelines for model versioning and deployment.If you are available and interested in a 6-month Outside IR35 contract, please apply in the first instance and you will be contacted to discuss the position further.

Senior Data EngineerRate: up to £450/day Outside IR35Contract Length: 6 Months (with likely extension)Location: Hybrid - 1 day per week onsite in Central LondonWorking hours: 9am - 5pm - Monday - FridayAn established international organisation is seeking a Senior Data Engineer to join their growing Data & Middleware function, driving innovation and excellence across complex data ecosystems. This is a fantastic opportunity to shape the future of a large-scale data transformation programme, working on high-impact projects that enable data-driven decision-making.Responsibilities for the Senior Data Engineer:Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standardsLeverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insightsLead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps and CI/CD best practices within the data functionContribute to the evolution of a modern event-sourcing architecture, enabling efficient data modelling, streaming, and transformation across platformsCollaborate with cross-functional teams - including Business Analysts, Product Owners, and fellow Senior Data Engineers - to translate business needs into robust technical solutionsChampion data governance, privacy, and security best practices, ensuring compliance and protection of customer dataContinuously improve existing systems, introducing new technologies and methodologies that enhance efficiency, scalability, and cost optimisationEssential Skills for the Senior Data Engineer:Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streamingStrong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelinesAdvanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions)Managing and querying data lakes or Lakehouse'sExcellent communication skills with the ability to explain complex technical concepts clearly and persuasivelyDesirable Skills for the Senior Data Engineer:Experience with event sourcing, dbt, or related data transformation toolsFamiliarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric)Understanding of machine learning model enablement and operationalisation within data architecturesExperience working within Agile delivery environmentsIf you are an experienced Senior Data Engineer with strong expertise in Databricks, Azure, and data architecture design, looking for a hands-on role where you can influence technical direction and drive meaningful change, please apply in the immediate instance. Data Engineer, Senior Data Engineer

Senior DevOps Engineer - £600 per day (Inside IR35) - Contract Location: Hybrid / LiverpoolIR35: InsideDuration: 6 monthsThe role:A leading Public Sector client are seeking a Senior DevOps Engineer. The role involves shaping and maintaining a modern cloud infrastructure that supports critical applications across customer, supplier, and internal platformsThis is an initial 6-month contract, requiring up to 2 days per week in Liverpool.Experience Requirements:Cloud Platforms: Proven experience with AWS and Azure.Infrastructure as Code: Advanced proficiency with Terraform.Containerisation & Orchestration: Deep understanding of Docker and Kubernetes (ECS / EKS).Continuous Integration / Delivery: Skilled in managing CI/CD pipelines using Jenkins and GitHub Actions.Programming: Working knowledge of Go, Python, and JavaScript for automation and tooling.Responsibilities:Lead the development and operational support of secure, scalable web services.Champion automation across deployment, configuration, and monitoring processes.Govern and optimise multi-environment infrastructure using code-driven approaches.Develop robust internal tools and frameworks to enhance infrastructure reliability and performance.Collaborate with cross-functional teams to embed DevOps principles and promote a culture of continuous improvement.If available and interested, please apply in the first instance and you will be contacted to discuss the position further