software engineer

machine learning engineer

ai engineer

senior software engineer

senior ai engineer

intelligent systems engineer

Digital Waffle

<div>
 
 
 AI Software Engineer
 
 
 
 
 
 <ul>
 <li>
 
 Onsite role in Soho
 
 </li>
 <li>
 
 &pound;80-120k depending on experience
 
 </li>
 </ul>
 
 
 
 
 We&rsquo;re on a mission to reinvent how AI understands people &mdash; not through CVs or data points, but through story, reasoning, and curiosity. We&rsquo;re building systems that listen, interpret, and understand
 
 why
 
 people say what they say. The goal? Create AI that perceives
 
 human potential
 
 , not just human input.
 
 
 If you love working on ideas that feel impossible &mdash; keep reading.
 
 
 
 
 
 
 The Role
 
 
 
 We&rsquo;re looking for an engineer who blends
 
 technical depth with creative instinct
 
 .
 
 
 You&rsquo;ll work directly with founders to shape the
 
 intelligence layer
 
 behind a new generation of human-aware AI &mdash; from LLM reasoning and semantic understanding to full-stack experiences that feel emotionally intelligent.
 
 
 
 
 
 If you&rsquo;ve worked in a
 
 disruptive industry
 
 and built something brand new &mdash; not just improved what already existed &mdash; this will feel familiar.
 
 
 
 
 
 
 What You&rsquo;ll Be Building
 
 
 <ul>
 <li>
 Core intelligence systems: LLM orchestration, semantic reasoning, and voice understanding
 </li>
 <li>
 Fast, intuitive interfaces that make human-AI interaction feel alive
 </li>
 <li>
 Rapid prototypes that turn bold ideas into working products
 </li>
 <li>
 Scalable infrastructure for experimentation and learning
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You
 
 
 <ul>
 <li>
 Come from a
 
 disruptive, fast-moving environment
 
 </li>
 <li>
 Have helped launch or shape
 
 new ideas, products, or technologies
 
 </li>
 <li>
 Think in systems and build with elegance
 </li>
 <li>
 Believe speed drives creativity
 </li>
 <li>
 Are curious about human cognition and behaviour
 </li>
 <li>
 Value truth, craft, and collaboration over hierarchy
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 Deep fluency in
 
 TypeScript
 
 and modern frameworks
 </li>
 <li>
 Experience with
 
 vector databases
 
 and
 
 embeddings
 
 </li>
 <li>
 Strength in
 
 LLM fine-tuning
 
 or multimodal reasoning
 </li>
 <li>
 Proven ability to ship full-stack products fast
 </li>
 <li>
 Strong
 
 Python
 
 skills
 </li>
 <li>
 Experience using
 
 Gemini
 
 would be preferred
 </li>
 </ul>
 
 
 
 
 
 The Culture
 
 
 
 Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter.
 
</div>

Artificial Intelligence Engineer

HCLTech

<div>
 
 Responsible for designing, developing, and deploying AI-driven agentic systems that enable autonomous decision-making, multi-agent collaboration, and scalable AI workflows.
 
 
 The role focuses on building intelligent backend systems using LLM frameworks and cloud-native architectures.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 &bull; Develop RESTful APIs (FastAPI/Flask) for AI and agent-based systems &bull;
 
 
 Design and implement agentic workflows using frameworks like LangChain, LangGraph, or similar &bull;
 
 
 Integrate LLMs with enterprise systems for contextual and intelligent automation &bull; Build and manage
 
 
 multi-agent orchestration systems and pipelines &bull; Optimize performance and scalability of AI backend
 
 
 services &bull; Implement authentication, logging, and observability &bull; Deploy solutions on GCP using GKE,
 
 
 Cloud Run, and Vertex AI &bull; Ensure security and compliance standards for AI workloads &bull; Implement
 
 
 CI/CD pipelines for AI applications
 
 
 Required Skills: &bull; Strong experience in Python and backend development &bull; Hands-on with LLM
 
 
 frameworks: LangChain, LangGraph, HuggingFace &bull; Experience with agent-based architectures and
 
 
 RAG implementations &bull; Knowledge of Google Cloud Platform (Vertex AI, GKE, Cloud Run) &bull; Familiarity
 
 
 with MCP servers and A2A communication models &bull; Experience in databases: PostgreSQL, MongoDB,
 
 
 Redis, FAISS &bull; Understanding of observability tools like Prometheus and Grafana
 
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 
 &bull; Experience with EasyRAG or Google ADK &bull; Exposure to Streamlit UI for AI apps &bull;
 
 
 Knowledge of Terraform and CI/CD automation &bull; Experience with Kubernetes-based deployments
 
 
 Qualifications: Bachelor's or Master&rsquo;s degree in Computer Science, AI, or related field with 5+ years of experience in software development and AI engineering
 
 
 
 
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 A supportive, diverse and global team with a brilliant culture.
 </li>
 <li>
 Competitive compensation and benefits that includes up to 20 days&rsquo; vacation per year, various insurances like Term life, AD &amp;D and Business Travel insurance. These are apart from the statutory benefits applicable in the country.
 </li>
 <li>
 Great opportunities to make the role your own, upskill yourself and get involved with exciting projects
 </li>
 <li>
 Total Wellbeing is our focus. Alongside your professional excellence, you join the likeminded colleagues to create a larger impact within the company and society at large in your chosen area of passion - CSR Council, Diversity Council, Sparks &ndash; Engagement Champion to name a few.
 </li>
 <li>
 To know more about us visit &ndash; www.hcltech.com
 </li>
 </ul>
</div>

THRivve by intelletec

<div>
 
 
 Expert AI Engineer &ndash; GenAI | Series B Fintech | London (Hybrid)
 
 
 
 
 
 
 We&rsquo;re hiring an Expert AI Engineer to help build a next-generation GenAI product used by top-tier banks, hedge funds, and asset managers. This is a high-impact role on a brand-new AI product&mdash;turning massive financial datasets into real-time, explainable insights using LLMs.
 
 
 You&rsquo;ll own architecture, ship production-grade AI systems, and work directly on a product already gaining serious traction with enterprise clients.
 
 
 
 
 
 
 Key points:
 
 
 <ul>
 <li>
 Build and scale LLM-powered features across large, complex datasets
 </li>
 <li>
 Design retrieval + reasoning systems for structured &amp; unstructured data
 </li>
 <li>
 Own end-to-end delivery of production AI applications
 </li>
 <li>
 Work closely with product + domain experts in a fast-moving team
 </li>
 </ul>
 
 
 
 
 
 What they want:
 
 
 <ul>
 <li>
 ~10+ years engineering experience
 </li>
 <li>
 Strong hands-on GenAI / LLM experience in production
 </li>
 <li>
 Solid backend skills (Python or similar)
 </li>
 <li>
 Proven ownership of complex systems
 </li>
 </ul>
 
 
 
 
 
 Package:
 
 
 <ul>
 <li>
 Up to &pound;130k base + equity
 </li>
 <li>
 London (Victoria) &ndash; Hybrid
 </li>
 </ul>
 
 
 
 
 High ownership, real-world impact, and a chance to shape how AI is used in global finance&mdash;drop me a message if you&rsquo;re interested.
 
</div>

trg.

<div>
 
 
 AI/ML Engineer | London, Hybrid (2 days minimum) | Permanent
 
 
 
 A data and AI consultancy with enterprise exposure, strong emphasis on using new technologies and working on exciting projects is looking for their next hire. The work is applied and production-focused. They build systems that actually run, for clients where the stakes are real.
 
 
 
 
 
 
 This role if for you
 
 
 
 If you started in data science or ML and have spent the last couple of years making a deliberate move into building. You ship LLM-powered applications. You own pipelines in production. You know the difference between a prototype and something that holds up under real-world conditions.
 
 
 
 
 
 You will design and deliver AI workflows and systems across a range of client problems, from carefully orchestrated LLM pipelines to pragmatic low-code automation wired up properly. The skill they value is knowing which approach fits the problem, not defaulting to the most complex one.
 
 
 
 
 
 
 What they need
 
 
 
 You have hands-on experience shipping LLM applications into production and have dealt with the consequences. You think carefully about evals, model quality, and instrumentation. You do not just ship, you measure.
 
 
 
 
 
 You have built RAG systems and understand the trade-offs. You have worked with agentic or multi-agent systems. You are comfortable across the modern AI toolchain, including AI coding assistants and low-code automation platforms like Power Automate or n8n.
 
 
 
 
 
 
 Nice to have
 
 
 
 Experience in regulated industries such as financial services or the public sector. Familiarity with MLOps concepts. Classical ML in production alongside newer LLM approaches. SC Clearance.
 
 
 
 
 
 
 What is on offer
 
 
 
 Competitive salary, EMI share options, 6% matched pension, private healthcare, a great annual training and conference budget, 25 days holiday plus the option to buy or sell up to 5, one month per year working abroad, and a Central London office.
 
</div>

MBN Solutions

<div>
 
 
 AI Engineer &ndash; Human Behaviour &ndash; Early stage startup - London, Hybrid (3 days per week) - &pound;80,000 to &pound;120,000 + Equity
 
 
 
 Businesses have always relied on historical data to understand what customers have done. This startup is changing that. By simulating thousands of autonomous AI agents that model human behaviour, organisations can predict how customers are likely to respond before launching a product, changing pricing or making strategic decisions.
 
 
 
 
 
 
 Story so far:
 
 
 
 This is a rare opportunity to join a very early stage, well funded AI startup at the earliest stage of its journey, working alongside second time founders with previous successful exits and leadership experience at some of the world's leading technology companies.
 
 
 Having recently secured multi million pound pre seed funding, the business has already validated its technology with paying enterprise customers and is now building the first production version of a platform that aims to predict human behaviour using AI driven simulations.
 
 
 Rather than relying on historical analytics, the platform creates thousands of autonomous AI agents that simulate customer behaviour, allowing organisations to test pricing, commercial strategies and decision making before deploying them in the real world.
 
 
 Over the next few months you'll play a key role in taking successful pilots into a scalable product while working directly with customers and helping shape the technical direction of the business.
 
 
 
 
 
 
 The team:
 
 
 
 
 Founder 1
 
 
 
 An ex Meta AI engineer with over a decade of experience building production AI systems. A proven technical founder who has already built one successful AI startup and is now starting again
 
 
 
 Founder 2
 
 
 
 A second time founder whose previous company was acquired by a massive wearable company. Former Venture Partner with deep experience across startups, fundraising and scaling technology businesses.
 
 
 
 
 
 
 
 
 
 The role
 
 
 
 You'll work closely with AI researchers and software engineers to build an AI first product from the ground up.
 
 
 
 
 
 This is a hands on engineering role where you'll be developing and deploying production grade multi agent systems at scale, helping improve model quality and reliability while ensuring the platform can support tens of thousands of autonomous agents.
 
 
 You'll be involved in:
 
 <ul>
 <li>
 Building and deploying production multi agent AI systems with 25k Agnets
 </li>
 <li>
 Improving LLM performance through evaluation and experimentation
 </li>
 <li>
 Reducing hallucinations and improving model reliability
 </li>
 <li>
 Working with open source foundation models, inference optimisation and quantisation
 </li>
 <li>
 Collaborating with researchers to translate cutting edge ideas into production software
 </li>
 <li>
 Building AI capabilities that become core to the product
 </li>
 <li>
 Working directly with enterprise customers to understand requirements and deliver solutions
 </li>
 </ul>
 
 
 
 
 
 What we're looking for
 
 
 <ul>
 <li>
 5+ years of software or AI engineering experience
 </li>
 <li>
 Experience building and deploying AI applications into production
 </li>
 <li>
 Strong Python skills
 </li>
 <li>
 Experience working with LLMs and modern AI frameworks
 </li>
 <li>
 Understanding of inference, model optimisation and evaluation frameworks
 </li>
 <li>
 Experience with multi agent systems &ndash; CrewAI, LangGraph, etc
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience training or fine tuning open source models
 </li>
 <li>
 Experience building evaluation pipelines for LLM applications
 </li>
 <li>
 Background in machine learning, NLP or applied AI research
 </li>
 <li>
 Experience in startups from Seed to Series A
 </li>
 </ul>
 
 
 
 
 
 Interested?
 
 
 
 If you&rsquo;d like to hear more, apply now or get in touch:
 
 
 mo@mbnsolutions.com
 
 
 02037736498
 
</div>

<div>
 Senior Python Engineer &ndash; AI &amp; Intelligent Systems Location London (Hybrid)
 
 
 The Opportunity Our client is seeking an experienced Senior Python Engineer to help build the next generation of AI-enabled products and platforms within a highly complex, data-rich environment.
 
 
 This role sits within a growing innovation-focused engineering team responsible for developing intelligent systems that improve business processes, automate knowledge work, and unlock new opportunities through applied AI. The successful candidate will contribute directly to the development, deployment, and enhancement of production-grade AI solutions while working alongside experienced engineers, AI specialists, and business stakeholders.
 
 
 This is an excellent opportunity for someone who enjoys building products from the ground up, solving complex technical challenges, and working with modern AI technologies in a collaborative environment.
 
 
 What You'll Be Doing
 <ul>
 <li>
 Develop and maintain AI-powered products, services, and internal platforms.
 </li>
 <li>
 Build production-ready applications using Python and modern cloud technologies.
 </li>
 <li>
 Develop integrations with LLMs, AI services, and external APIs.
 </li>
 <li>
 Create scalable backend services and data processing pipelines.
 </li>
 <li>
 Work closely with engineers, product teams, and business stakeholders to deliver high-quality solutions.
 </li>
 <li>
 Contribute to the implementation of AI-driven workflows and intelligent automation capabilities.
 </li>
 <li>
 Support the deployment, monitoring, and continuous improvement of AI applications in production.
 </li>
 <li>
 Write clean, maintainable, and well-tested code following engineering best practices.
 </li>
 <li>
 Explore emerging AI technologies and contribute ideas for future product development.
 </li>
 </ul>
 The role is primarily hands-on engineering, focused on building and delivering software solutions.
 
 
 Technology Environment The team works with a modern engineering and AI stack including:
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 OpenAI and LLM technologies
 </li>
 <li>
 Cloud-native platforms
 </li>
 <li>
 Serverless architectures
 </li>
 <li>
 Vector databases
 </li>
 <li>
 Knowledge repositories
 </li>
 <li>
 Modern data engineering tooling
 </li>
 <li>
 AI-enabled development tools and workflows
 </li>
 </ul>
 What We're Looking For Essential Experience
 <ul>
 <li>
 Strong software engineering background with advanced Python development skills.
 </li>
 <li>
 Experience building and deploying cloud-based applications.
 </li>
 <li>
 Experience developing and delivering production-quality software.
 </li>
 <li>
 Experience working with APIs, backend services, and data pipelines.
 </li>
 <li>
 Strong understanding of software engineering best practices, testing, and maintainability.
 </li>
 <li>
 Ability to work effectively within cross-functional teams.
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 </ul>
 Highly Desirable
 <ul>
 <li>
 Experience working with OpenAI APIs and LLM-based applications.
 </li>
 <li>
 Experience building AI-powered products or intelligent user interfaces.
 </li>
 <li>
 Experience with Retrieval-Augmented Generation (RAG) architectures.
 </li>
 <li>
 Understanding of AI agents and agentic workflows.
 </li>
 <li>
 Experience working with vector databases and semantic search technologies.
 </li>
 <li>
 Exposure to data engineering and machine learning workflows.
 </li>
 <li>
 Experience taking AI solutions from proof-of-concept through to production.
 </li>
 <li>
 Experience developing search, knowledge management, or information retrieval platforms.
 </li>
 </ul>
 About You You are a highly capable engineer who enjoys building practical solutions to complex problems. You have a strong foundation in software engineering and are excited by the opportunity to work with modern AI technologies and large-scale data systems.
 
 
 You thrive in collaborative environments, enjoy learning new technologies, and take pride in delivering high-quality software that creates meaningful business impact.
 
 
 This role offers the opportunity to work on innovative AI initiatives while remaining deeply involved in hands-on engineering and product development.
 
 
 
 
 We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.
 
 
 Source Group International Ltd is acting as an Employment Business in relation to this vacancy&nbsp;
 
 
 
</div>

Senior Python Engineer

Station

<div>
 
 
 Python Engineer
 
 
 
 
 
 
 
 (AI / LLM Focus)
 
 
 
 
 
 
 London (Hybrid) | 🚀 Fintech Scale-Up
 
 
 
 
 
 We&rsquo;re partnering with a fast-growing fintech company in London that&rsquo;s redefining how financial data is leveraged through cutting-edge AI. They&rsquo;re now looking for a Python Engineer with strong experience in AI and Large Language Models (LLMs) to help build intelligent, scalable products used by thousands of customers.
 
 
 
 
 
 This is a high-impact role where you&rsquo;ll work closely with product, data, and engineering teams to bring AI-driven features into production.
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 <ul>
 <li>
 Designing and building scalable backend systems using Python
 </li>
 <li>
 Developing and integrating LLM-powered features into core products
 </li>
 <li>
 Working with modern AI frameworks (e.g. OpenAI, LangChain, Hugging Face)
 </li>
 <li>
 Collaborating with data scientists to productionise models
 </li>
 <li>
 Improving system performance, reliability, and scalability
 </li>
 <li>
 Contributing to architectural decisions in a growing engineering team
 </li>
 </ul>
 
 
 
 
 
 What they&rsquo;re looking for:
 
 
 <ul>
 <li>
 Strong experience with Python in a production environment
 </li>
 <li>
 Hands-on experience with LLMs or applied AI (prompt engineering, fine-tuning, RAG, etc.)
 </li>
 <li>
 Experience building APIs and backend services
 </li>
 <li>
 Solid understanding of cloud platforms
 </li>
 <li>
 Ability to work in a fast-paced, product-driven environment
 </li>
 </ul>
 
 
 
 
 
 Why join?
 
 
 <ul>
 <li>
 Work on genuinely impactful AI products in fintech
 </li>
 <li>
 Strong engineering culture with a focus on innovation
 </li>
 <li>
 Backed by top-tier investors
 </li>
 <li>
 Competitive salary + meaningful equity
 </li>
 <li>
 Flexible hybrid working in London
 </li>
 </ul>
 
 
</div>

Python Developer

Explore 757+ Intelligent systems engineer in London this July. Find roles across top companies and apply now to boost your career.

757 intelligent systems engineer jobs In London

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Senior Python Engineer

Python Developer