26 to 50 of 112 Artificial Intelligence Engineering Jobs in England

Director, AI Engineering – Professional and Financial Services Location: London (Hybrid) Employment Type: Full time Our Client Our client is a global leader in transforming organisational performance through safe, impactful and human centric artificial intelligence. With over a decade of success, they partner with leading organisations worldwide, combining AI software, bespoke consultancy, and top-tier talent from their … s leading technology firms, the organisation tackles some of the most complex challenges in applied AI across financial services, professional services, and beyond. The Opportunity As Director of AI Engineering , you will serve as the most senior technical authority for AI solutions across the Professional and Financial Services business unit. This is a high impact leadership role that … A collaborative leader who enjoys mentoring and developing high performing teams Why Join This is an opportunity to join a pioneering AI organisation that is redefining how businesses apply artificial intelligence responsibly and effectively. You will work alongside some of the brightest minds in the field, solving complex, real world challenges and shaping the future of applied AI More ❯

Infrastructure AI Engineer – Series A Deep Tech AI Company About the Company: Our client is a pioneering deep tech company transforming how enterprises leverage artificial intelligence to automate complex analytics workflows. Following a successful Series A funding round , the company is scaling rapidly to meet growing demand from some of the world’s largest organizations. Their platform delivers … MCPs, and agentic AI workflows into robust environments. Build and optimize CI/CD pipelines and infrastructure-as-code (IaC) frameworks (e.g., Terraform, Helm). Partner closely with AI engineering teams to ensure smooth delivery from prototype to production. What You’ll Bring Strong background in cloud infrastructure engineering — experience with at least one major provider … deploy and manage systems across hybrid or multi-cloud and on-premise environments. Expertise with Kubernetes, Docker , and container orchestration at scale. Familiarity with DevOps and site reliability engineering (SRE) best practices. Experience with CI/CD automation and infrastructure-as-code tools. Understanding of AI/ML deployment patterns and how to support model-driven workloads in More ❯

out of AI capabilities. Whoever joins has an opportunity to work on the foundational architectural definition and implementation. What you’ll do Report directly to the Director of Engineering Architect, build and ship advanced AI/ML & Generative AI solutions — scalable, secure, production-ready Design data ingestion pipelines, integrate vector databases and retrieval-augmented systems Ship models via … APIs, containers, or cloud-native services Own engineering excellence — Git, CI/CD, automated ML testing, IaC Influence technical direction and mentor other engineers Work cross-functionally to translate AI strategy into measurable business outcomes What you bring Expert … Python — LangChain, Semantic Kernel, PyTorch, TensorFlow Hands-on cloud delivery — Azure/AWS, Terraform, ECS Proven experience building RAG/MCP architectures 5+ years in applied ML or AI engineering roles Send us your profile now for immediate consideration. November start. More ❯

out of AI capabilities. Whoever joins has an opportunity to work on the foundational architectural definition and implementation. What you’ll do Report directly to the Director of Engineering Architect, build and ship advanced AI/ML & Generative AI solutions — scalable, secure, production-ready Design data ingestion pipelines, integrate vector databases and retrieval-augmented systems Ship models via … APIs, containers, or cloud-native services Own engineering excellence — Git, CI/CD, automated ML testing, IaC Influence technical direction and mentor other engineers Work cross-functionally to translate AI strategy into measurable business outcomes What you bring Expert … Python — LangChain, Semantic Kernel, PyTorch, TensorFlow Hands-on cloud delivery — Azure/AWS, Terraform, ECS Proven experience building RAG/MCP architectures 5+ years in applied ML or AI engineering roles Send us your profile now for immediate consideration. November start. More ❯

own the company’s AI infrastructure from the ground up. Work with cutting-edge AI technologies in a hands-on, high-impact role. Leadership path — build your own AI engineering team. Competitive salary (up to £120k), flexible working, and professional growth opportunities. Ready to build the foundation of our AI future? Apply now and help us shape an More ❯

own the company’s AI infrastructure from the ground up. Work with cutting-edge AI technologies in a hands-on, high-impact role. Leadership path — build your own AI engineering team. Competitive salary (up to £120k), flexible working, and professional growth opportunities. Ready to build the foundation of our AI future? Apply now and help us shape an More ❯

closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. About Us: Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [EngineeringAI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges of trust, speed, and capital. For more information, please go to www.ascendion.com More ❯

vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch • Experience deploying and maintaining scalable production-grade AI systems • Strong understanding of data pipelines, MLOps and cloud platforms (AWS More ❯

vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch • Experience deploying and maintaining scalable production-grade AI systems • Strong understanding of data pipelines, MLOps and cloud platforms (AWS More ❯

Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI-enabled CX transformation projects. Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related discipline (preferred). Preferred/Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX More ❯

Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI-enabled CX transformation projects. Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related discipline (preferred). Preferred/Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX More ❯

onsite twice p/w) 25 days annual leave Health Insurance Matched Pension L&D fund Flex-Hours On-site parking Plus more If you’re passionate about AI Engineering and are keen to work for one of the most exciting and fastest growing FinTechs in the country then please apply right away. More ❯

provides an unparalleled opportunity to grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business More ❯

provides an unparalleled opportunity to grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business More ❯

hedge fund in Madrid. This is a joint venture launched by one of the most prestigious hedge funds in the world, aimed at implementing complex data and Gen AI engineering initiatives for both the hedge fund and potential competitors. You will collaborate with some of the brightest minds in the country to handle messy and complex datasets, build More ❯

and solution documentation. Share knowledge and collaborate with the Principal Consultant to develop best practice. What we’re looking for Strong foundation in Data Science, Machine Learning and AI engineering . Proficiency with Python and modern data/AI frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Comfortable working on-site with clients multiple times per week — building relationships 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 ❯

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 ❯

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 ❯