51 to 75 of 130 Artificial Intelligence Engineering Jobs in the UK

Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced … Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required … machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker More ❯

Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced … Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required … machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker More ❯

critical technical and professional skills needed for a successful career in data and AI. The curriculum includes: AI & Data Essentials Data Wrangling and Pipelines Large Language Models Responsible AI Engineering AI Solutions Building Agents AI & Analytics Agentic Orchestration Consultancy Skills Key Programme Information Locations: Roles with our clients are available across the UK, including London, Stevenage, Bristol, Norwich More ❯

Experience in underwriting, claims, policy admin, or customer services is a plus. Key Interfaces You’ll collaborate with senior business unit leaders, product owners, agile coaches, data and AI engineering teams, and external suppliers. You’ll also work closely with our AI Hub, procurement, and people functions. Why Join Us? Be part of a global leader in insurance More ❯

a next-generation, tech-enabled financial crime framework at the forefront of FinTech innovation. You’ll work closely with the senior leadership team, and cross-functional teams-including AI, engineering, and product-to embed scalable controls that strengthen trust, meet regulatory standards, and enhance customer experience. What You’ll Do: Lead the 1st Line Financial Crime function with More ❯

a next-generation, tech-enabled financial crime framework at the forefront of FinTech innovation. You’ll work closely with the senior leadership team, and cross-functional teams-including AI, engineering, and product-to embed scalable controls that strengthen trust, meet regulatory standards, and enhance customer experience. What You’ll Do: Lead the 1st Line Financial Crime function with More ❯

Impact. What we offer Collaborate with C-level executives to drive transformational changes in their business. Lead, mentor, and manage a high-performing team to deliver innovative data engineering solutions. Spearhead business development initiatives by identifying opportunities to grow client relationships. Work in multidisciplinary teams and learn from motivated colleagues. Play a pivotal role in defining and executing … relationships and expanding client engagements. What you will bring Master's (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. computer science, econometrics, AI, engineering, mathematics, physics, and other exact sciences). 10+ years of consulting experience or relevant industry experience, with at least 3+ years at a senior leadership level and a … R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High-level understanding of data engineering and data strategy. Strong understanding of at least one cloud stack (e.g., Azure, AWS, GC) Proven ability to manage and deliver projects with expert team members and to provide More ❯

with the range of teams within the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines. The ideal candidate will bring deep expertise in AWS cloud-native data platforms, Snowflake, and modern data … engineering practices, with proven experience in banking and insurance domains. Key responsibilities: Lead the design and development of data ingestion, integration, and transformation frameworks. Architect and deliver data products that are modular, reusable, and aligned with business domains. Ensure technical accountability for detailed design, engineering quality, and delivery of all data engineering solutions. Drive … integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions More ❯

with the range of teams within the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines. The ideal candidate will bring deep expertise in AWS cloud-native data platforms, Snowflake, and modern data … engineering practices, with proven experience in banking and insurance domains. Key responsibilities: Lead the design and development of data ingestion, integration, and transformation frameworks. Architect and deliver data products that are modular, reusable, and aligned with business domains. Ensure technical accountability for detailed design, engineering quality, and delivery of all data engineering solutions. Drive … integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions More ❯

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists). This is a unique opportunity to remain hands-on in engineering while also leading a focused, high-impact team. You’ll be at the forefront of data and cloud … native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and … data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful Senior AWS Data Engineer candidate will have the chance More ❯

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists). This is a unique opportunity to remain hands-on in engineering while also leading a focused, high-impact team. You’ll be at the forefront of data and cloud … native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and … data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful Senior AWS Data Engineer candidate will have the chance More ❯

Responsibilities Design and implement a bespoke orchestration language for AI agents Enable structured LLM interaction, including stateful reasoning and tool use Build integrations with external systems Apply software engineering to intelligent business automation Collaborate with a distributed team of researchers and engineers Requirements Master’s or PhD in Computer Science, Mathematics, or related field Expertise in category theory More ❯

introducing new areas of revenue/progression for the Data Science department. On top of your responsibilities as Head of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Head of Data Science role appeals to you, we want to see the following: A More ❯

introducing new areas of revenue/progression for the Data Science department. On top of your responsibilities as Director of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Director of Data Science role appeals to you, we want to see the following: A More ❯

introducing new areas of revenue/progression for the Data Science department. On top of your responsibilities as Director of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Director of Data Science role appeals to you, we want to see the following: A More ❯

. 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 and deployment. What We’re Looking For ✅ 8+ years of experience in AI engineering, data science, or data architecture . ✅ Proven success building and scaling enterprise AI/ML platforms . ✅ Strong expertise in Snowflake and MongoDB for data modeling and integration. … Hands-on experience with Azure, AWS, or GCP cloud ecosystems. ✅ Deep proficiency in PyTorch, TensorFlow, or Scikit-learn . ✅ Understanding of MLOps, LLMOps , and modern data engineering best practices. Why Ascendion? At Ascendion, we combine human creativity and technology excellence to build the future of digital innovation. You’ll join a team that empowers organizations to adopt AI More ❯

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists) in a unique hands-on opportunity within a focused, high-impact team. You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS … data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful AWS Data Engineer candidate will have the chance to … banks, working closely with various businesses and gaining an overview of many different sectors. What We’re Looking For 5 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets More ❯

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists) in a unique hands-on opportunity within a focused, high-impact team. You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS … data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful AWS Data Engineer candidate will have the chance to … banks, working closely with various businesses and gaining an overview of many different sectors. What We’re Looking For 5 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets More ❯

Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you’ll play a pivotal role in defining how … advanced analytics supports smarter decision-making, better customer experiences, and more sustainable operations across the business. What You’ll Do: Lead the technical direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business … value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship, helping grow a capable ML Engineering team over time. Partner with product, platform, and analytics teams to embed ML into data products and digital services. Stay current with advancements in Generative AI and LLMs, exploring More ❯

Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you’ll play a pivotal role in defining how … advanced analytics supports smarter decision-making, better customer experiences, and more sustainable operations across the business. What You’ll Do: Lead the technical direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business … value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship, helping grow a capable ML Engineering team over time. Partner with product, platform, and analytics teams to embed ML into data products and digital services. Stay current with advancements in Generative AI and LLMs, exploring More ❯

retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt engineering, model evaluation, and responsible AI (governance, bias mitigation, safety). Optimise … models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases … and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week More ❯

retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt engineering, model evaluation, and responsible AI (governance, bias mitigation, safety). Optimise … models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases … and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week More ❯

ensuring solutions are scalable, secure, ethically governed, and fully aligned to business transformation goals. You will define the future of agentic AI within the enterprise , working across architecture, AI engineering, data, security, and business domains to introduce next-generation AI capabilities that deliver measurable impact. Key Responsibilities: AI Strategy & Roadmap Own the enterprise architecture vision for Generative AI … management, observability and interoperability standards. Ensure seamless integration of AI systems with core enterprise platforms (e.g., ERP, CRM, Data & Analytics). Technology Leadership & Delivery Oversight Evaluate and select AI engineering frameworks (e.g., LangChain, AutoGen) and platform components within Azure (Azure OpenAI, Azure AI Studio/Foundry, Databricks). Lead architecture across the full delivery lifecycle, supporting engineering teams through build, deployment, testing and productionisation using AIOps and LLMOps best practices. Data, Integration & Readiness Partner with Data Engineering teams to ensure robust data pipelines and contextual data foundations for AI agents. Oversee the design of enterprise-grade data, integration and MLOps patterns to support scalable AI workloads. Security, Ethics & Risk Management Embed Ethical AI More ❯

Next.js contractor to help us accelerate the delivery of core product features. You'll own key areas of the UI and work closely with our design, backend, and AI engineering teams to bring AIdriven functionality to life - particularly natural-language search, agentic workflows, and intelligent, context-aware components. This role is ideal for someone who can hit the More ❯

to support autonomous decision-making and communication between agents. Monitor, evaluate, and continuously improve agentic performance and reliability. Skills & Experience Essential: 3+ years in software engineering, AI engineering, or machine learning roles. Strong programming skills (Python preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks, prompt engineering More ❯