1 to 25 of 33 Artificial Intelligence Engineering Jobs in Central London

opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI … systems that improve audit quality, efficiency, and insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a … culture of collaboration, innovation, and continuous improvement. You will stay at the forefront of AI engineering trends, advocate for modern development methodologies, and drive knowledge-sharing across both the technology and audit domains. Due to the nature of the role significant time may be spent at client sites/KPMG offices. Responsibilities Lead by Example: Lead by example More ❯

decision logic ✅ What You Must Bring UK-based and either hold SC clearance or be eligible and willing to go through clearance 2+ years of experience in applied AI engineering, data engineering, or backend platform work Strong experience in Python — capable of implementing algorithms and working with APIs, data structures, and logic flows Good understanding of … and familiarity with relational or graph stores Hands-on experience using frameworks like LangChain , Haystack , or custom orchestration layers Ability to work independently and collaboratively across delivery and engineering teams 🌟 Nice to Have Familiarity with ethical considerations, bias evaluation, and responsible AI deployment Light DevOps or scripting experience to support deployment or debugging Why This Role? This isn More ❯

to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function . You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools … high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

societal benefit. They are expanding their cloud capability and hiring a Senior Cloud Engineer to help shape and scale the Azure foundations powering advanced analytics, AI, and platform engineering across the business. You'll work at the intersection of data, software, and cloud architecture — building secure, resilient, modern infrastructure that underpins products used nationwide. This is a high … Azure Entra ID, VNets, routing, firewalls, Key Vault). Support Azure SQL, Cosmos DB, and PostgreSQL/MySQL deployments for performance, resilience, and scalability. Work with data and AI engineering teams to build pipelines, enable ML workloads, and support platforms like Azure Foundry, Hub, and Search. Integrate DevSecOps and Zero Trust principles into delivery. Champion cost optimisation (FinOps …/CD pipelines , and Azure DevOps or GitHub Actions . Solid containerisation skills (AKS, Kubernetes, Docker). Strong scripting ability — Bash, Python , or similar. Experience supporting cross-functional engineering teams. Comfort juggling multiple projects and collaborating with diverse stakeholders. A proactive, relationship-driven approach — someone who enjoys influencing best practice and being a “go-to” engineer. Bonus: any More ❯

AI Engineer - Elite Sports Tech - London AI Engineer needed to join a highly skilled Engineering & AI team in a rapidly growing sports tech company. Role and Responsibilities: Design, build, and deploy Large Language Model (LLM)-driven applications into production Develop retrieval-augmented generation (RAG) systems for real-time insights from performance and wearable data Optimise and fine-tune … and scalable backend components in Python Collaborate cross-functionally with engineers, data scientists, designers, and product managers to ship AI-first features Requirements: 2+ years of hands-on AI Engineering experience, with strong software engineering fundamentals Proven experience working with LLMs in production (fine-tuning, prompt engineering, or API integrations) Proficiency in Python Experience More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI … to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that … high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and More ❯

sharer of compelling ideas/work to the rest of the team and organisation. What do you need? Not necessarily the title, we know in the world of AI Engineering you may come from a background of data science, engineering, machine learning although what is key is that you will be deeply involved with productionising and More ❯

based in London. Half of the team are engineers or technology-related. The role reports to the CTO and will require offer the opportunity to: Help build the engineering team and processes from the ground up Build with the latest in LLMs, multi-agent systems, and define the tech stack Have significant input on the AI strategy and … optimising AI models through fine-tuning, distillation, or human-in-the-loop validation Preferably looking for Computer Science graduates with at least 1 year working in a core AI engineering role within an AI-first company and 3 years experience or more working as a Software Engineer, Backend Engineer, ML Engineer or Product Engineer. Senior AI Software Engineer More ❯

of London. They are seeking an AI Security & Compliance Engineer to work with them on a contract. The responsibilities of an AI Security & Compliance Engineer will include: Secure AI Engineering & Design Collaboration: Partner with engineering teams to embed security-by-design and privacy-by-design principles into AI agents, copilots, and automation workflows. Define and implement … GitHub Actions for secure deployment and access management. Monitor AI systems using Azure Monitor, Log Analytics, and Application Insights. Policy Implementation & Regulatory Alignment: Translate regulatory requirements into actionable engineering guidelines and reusable controls. Ensure AI systems avoid prohibited practices and meet obligations around: Transparency and user awareness Data minimisation and lawful processing Continuous monitoring and incident response Cross … protection and privacy controls (e.g., DLP, masking, classification) Knowledge of regulatory frameworks including the EU AI Act, GDPR, and FCA guidance. Experience working in cross-functional teams across engineering, legal, and risk domains. More ❯

Head of Engineering (Founding Team) London/Remote | Full-time | Early-stage startup Bibex is building the global IP discovery platform for publishing, film/TV and beyond. We use AI to surface high-potential stories from fragmented global markets, connecting them with scouts, publishers, studios and producers. We’re backed by experienced founders (Footnote Press, Midnite, Gamerbase … and are finalising our first funding round. Now we’re looking for a Head of Engineering to join our founding team. The Role This is a hands-on, build-from-scratch position. You will take over as technical lead on our prototype development, working closely with the founders to shape the platform architecture and product roadmap. In the … structure book/IP metadata from catalogues and databases Implementing early-stage AI features (e.g. multilingual vectorisation, search, taste-matching) using third-party and custom models Establishing our engineering culture, coding standards and technical direction Growing and leading a team of engineers and data scientists as we scale About You Full-stack engineering background, comfortable across More ❯

innovative, fast-growing technology company is searching for a Senior Backend Software Engineer to join its core engineering team. This organisation is building next-generation automation and intelligence solutions, and you will play a key role in developing the backend systems that power … a high-impact platform used by customers worldwide. Role Overview In this position, you’ll take ownership of critical backend services and work closely with product, frontend, and AI engineering teams. You’ll design reliable, scalable systems and deliver high-quality code that directly influences the platform’s performance and customer experience. Key Responsibilities Design, develop, and maintain … problem-solving abilities Why Join Work in a mission-driven environment building technology with real-world impact Competitive salary + significant equity offering Join a high-performing, collaborative engineering team working on meaningful challenges More ❯

AI Engineering Manager Salary: £100,000 - £125,000 + bonus Location: London/Hybrid Data Idols are working with a major UK brand embarking on an exciting transformation to embed AI at the heart of its technology strategy. This is a brand-new role, a chance to build and lead an AI Engineering function from the … ground up within an established enterprise. The Opportunity You'll set the strategy and lead delivery for a new AI Engineering area, responsible for developing practical AI solutions, from intelligent agents and automation tools to advanced operational AI systems. This is not a research role, it's about turning AI into real-world impact. You'll consolidate existing … ML and AI Ops teams under one function, shaping how the organisation scales AI delivery across the business. Skills and Experience Proven leadership experience within data, ML, or AI engineering Hands-on technical understanding of modern AI tooling, MLOps, and model deployment Commercial mindset, experience bringing AI use cases into production Strong communication skills and the ability to More ❯