What Jobs are available for Artificial Intelligence in London?

This range is provided by MBN Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from MBN Solutions

AI Engineer – Startup (AI Consultancy) - London (Hybrid) Upto £95k +shares

We’re working with a fast growth AI Consultancy with offices in London, Manchester and Edinburgh. The business is under a year old and currently sitting at 50 people, generating revenue with a range of AI projects including fact extraction, conversational AI, Co-pilots, knowledge graphs, spanning across a variety of clients such as Investments, Insurance, F&B and CPG.

The founders have proven experience in building a consultancy from scratch and exiting, having previously built a Data Science consultancy and successfully sold to a ‘big 4’ , they are on course to replicate their success here.

This has fuelled rapid growth in the team and we are looking for AI Engineers of different experience levels to join us in building the business by developing end2end LLM products for our clients.

What we’re looking for:

We’re looking for people that have experience building production ready AI solutions, to design, build and deploy AI solutions in collaboration with our clients. You’ll be applying some of the SOTA research in AI to develop applications. As such we would expect you to have:

• Background in foundational Computer Vision/NLP
• Strong Software Engineering skills (3 years+)
• Developed LLM architecture and deployed LLM applications
• Uptodate with current trends in AI
• Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc

The role is hybrid, with adhoc requirements to be on client premises (London) this could be between 1-5 days a week, so we would need someone that is flexible.

This is a fantastic opportunity to work on a broad range of problems, applying SOTA AI solutions, in a high growth business, set for success and you will be rewarded with:

• Base salary of upto £5k
• Meaningful EMI shares (our proven history speaks for itself)
• 25 Days holiday
• Statutory pension contribution
• Private medical

Please note : you must be eligible to work in the UK to be considered for this position.

Interested?

If you think you fit the bill, get in touch by clicking the ‘apply now’ button or get in touch with me by the following:

• Call me on

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology and Engineering
• Industries IT Services and IT Consulting, Technology, Information and Media, and Software Development

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Overview

If you’ve ever wanted to join a startup just before it breaks out, this is that moment. Backed by elite investors, this company is already winning enterprise contracts with household name brands. Their product is redefining how global teams discover, understand, and act on information, making knowledge workflows faster, smarter, and more valuable.

Why this role matters: As their Applied AI Engineer, you won’t be in the background. You’ll be the one shaping how generative AI gets applied in the real world - designing intelligent agents, scalable workflows, and retrieval systems that will form the backbone of the product. The features you build will directly drive revenue and adoption, with your fingerprints all over the company’s trajectory heading into Series A.

• Designing and deploying LLM-powered agents to automate complex, multi-step workflows.
• Building orchestration infrastructure with frameworks like LangGraph or PydanticAI.
• Creating evaluation strategies with real-world signals and human-in-the-loop testing.
• Developing RAG pipelines (Qdrant, Weaviate, etc.) for contextual awareness and retrieval.
• Integrating OpenAI, Anthropic, Hugging Face APIs into production-grade systems.
• Collaborating closely with product and design to ship AI-driven features that customers love.

You’ll operate across the stack: Python, FastAPI, backend services, orchestration frameworks, and cloud infrastructure (AWS, BigQuery).

• 5+ years in software engineering, with 1–3 years building applied AI/LLM features.
• You’ve shipped production systems in early-stage startups (seed to Series A).
• Experience with LangChain, LangGraph, or PydanticAI.
• Strong grounding in prompt design, LLM evaluation, and optimisation techniques (KV caching, sampling strategies, etc.).
• A first-principles thinker who thrives in greenfield environments.
• Hybrid setup – join the Shoreditch office a couple of times a week, work remotely the rest.
• Career trajectory – this role positions you to become a founding voice in the AI team as the company scales post-Series A.
• Exposure to world-class peers
• Impact – what you build will be used by global enterprises from day one.

This isn’t just another AI role. It’s a chance to help define how applied AI gets built and scaled in one of the most exciting startups in London.

If you’re ready to make your next move truly career-defining, let’s talk - apply now or email

• Mid-Senior level

• Full-time

• Information Technology
• Industries: Software Development

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This range is provided by Intelix.AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from Intelix.AI

ROLE PROFILE:

• Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance).
• Deliver hybrid retrieval (graph traversal + embeddings (+ rerank)) with measured uplift.
• Expose secure APIs/tools for LLMs/agents; enforce access controls, rate-limits, auditability.
• Embed evals & observability; ship via CI/CD.

Must-have

• Shipped knowledge graphs in production (Neo4j/TigerGraph/Neptune or RDF/OWL; Cypher/SPARQL/GSQL ).
• Delivered GraphRAG with evidence it beats vector-only.
• Cloud delivery (AWS/Azure/GCP) with basic IaC/CI/CD and governance.

Nice-to-have

• Text-to-Cypher/SPARQL with safety filters and small eval sets.
• MCP-style tool contracts for safe agent access.
• Streaming/ELT at scale (Kafka/Databricks/PySpark).

• Mid-Senior level

• Full-time

• Information Technology

• Technology, Information and Media and Financial Services

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Head of AI - Speech Recognition - London - £250,000 - £00,000

Seer is partnering with an innovative speech recognition company that is transforming the way AI interacts with language. Backed by 0,000,000 in Series A funding , this company is at the cutting edge of developing advanced speech recognition technologies and is seeking an experienced Head of AI to lead their AI strategy and innovation efforts.

As the Head of AI , you will be responsible for driving the technical vision and overseeing the development of state-of-the-art speech recognition systems, NLP models, and voice-driven AI technologies. This is a unique opportunity to lead a talented AI team and shape the future of voice-based AI products.

Key Responsibilities:

1. Lead the AI and machine learning strategy, overseeing the development of speech recognition models, natural language processing (NLP), and voice-based AI technologies.
2. Build, manage, and mentor a high-performing AI team, fostering a culture of innovation, collaboration, and excellence.
3. Direct the research and implementation of cutting-edge machine learning algorithms to improve the accuracy, efficiency, and scalability of speech recognition and NLP systems.
4. Collaborate closely with product and engineering teams to integrate AI-driven solutions into the company’s products and ensure seamless user experiences.
5. Ensure the scalability and reliability of speech recognition models, optimizing them for real-world applications across various industries.
6. Stay at the forefront of AI research, identifying emerging trends and techniques in speech recognition and NLP to keep the company ahead of the competition.
7. Present technical progress, vision, and findings to the executive team, investors, and other key stakeholders.

Ideal Candidate:

1. Extensive experience in AI and machine learning , with a focus on speech recognition , NLP , and speech-to-text technologies.
2. Proven experience leading AI teams and successfully deploying AI models in production environments.
3. Strong academic background in machine learning, computational linguistics, or a related field.
4. Expertise in deep learning, neural networks, reinforcement learning, and advanced techniques for improving speech recognition and NLP systems.
5. Experience in developing AI-powered products, translating complex technical solutions into practical, scalable applications.
6. A track record of building and scaling AI teams in a start-up environment, with the ability to set strategic direction and drive innovation.

Why Join?

1. Competitive salary ranging from £2 ,000 to 00,000 , depending on experience.
2. Lead AI initiatives in a rapidly growing company with a significant Series A funding round, focused on transforming the speech recognition landscape.
3. Opportunity to shape the future of voice-driven AI technology and have a direct impact on millions of users globally.
4. Join a passionate and innovative team in a fast-paced, high-growth environment, driving the next generation of AI-powered products.

Due to the company being in stealth mode, more detailed information about the project will be shared during the initial recruiter call, as an NDA is in place.

If you’re an expert in AI and speech recognition with a vision for transforming voice technology, we want to hear from you. Please contact to express your interest or learn more.

Director

Full-time

Research

Software Development

Overview

We’re seeking a highly skilled AI Engineer. Our client within the technology space is offering innovative projects that solve real-world problems with AI. This role will provide opportunities to work with cutting-edge technologies and deliver impactful AI solutions.

• Develop, train, and deploy machine learning (ML) and deep learning models to solve industry-specific challenges.
• Design scalable data pipelines and preprocess datasets for training and inference.
• Collaborate with cross-functional teams to integrate AI models into existing systems.
• Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI.
• Conduct error analysis and improve models to address bias, fairness, and explainability.
• Document technical processes and results, ensuring knowledge sharing within teams.

• Proficiency in programming languages like Python, R, or Java.
• Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics.
• Expertise in at least one domain:
  • Natural Language Processing (NLP)
  • Computer Vision
  • Reinforcement Learning
  • Generative AI (e.g., GPT, Stable Diffusion)
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
• Strong grasp of mathematics and statistics (e.g., linear algebra, probability, optimization).

• Ability to explain complex AI concepts to non-technical stakeholders.
• Strong problem-solving and critical-thinking skills.
• Passion for continuous learning and staying updated with the latest AI trends.

• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations).
• Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.

• Exposure to international markets and the opportunity to work with a diverse team
• Flexible remote working arrangements
• Innovative environment

At Substance, we’re all about action, not just talk. If your profile aligns with what we need, you’ll hear from us within 1-2 weeks. If not, no fluff—just know we value your interest and will keep you in mind for future roles where your skills can make an impact. We focus on real connections and meaningful matches, so when the right opportunity comes, we’ll be ready to make it happen.

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