AI Engineer

167 Solutions; Greater London; Sur place; GBP 80 000 - 120 000; Plein temps

Avantages offerts par ce poste

Hybrid working model

Cutting-edge AI tech

Enterprise-scale AI projects

Career progression

Innovative culture

AI investment

Résumé du poste

167 Solutions is seeking an experienced AI Engineer to join their expanding AI function in London. You will design, develop and deploy production-grade AI solutions, collaborating with AI leads, product teams and data scientists to deliver enterprise applications.

The role focuses on cutting-edge AI technologies including Generative AI, LLMs, retrieval augmented generation, and multi-modal AI, with a hybrid working model and strong career progression toward Senior AI Engineer or AI Technical

Qualifications

• Commercial experience in ML solutions.
• Experience with Large Language Models (LLMs).
• Knowledge of Generative AI technologies.
• RAG implementation experience.
• NLP and Conversational AI development.
• Model training, testing and evaluation.
• Prompt Engineering and AI workflow optimisation.

Responsabilités

• Design, develop and deploy AI/ML solutions into production.
• Build and optimise Generative AI apps with LLMs.
• Develop RAG architectures and AI agents.
• Create speech-to-text and voice AI solutions.
• Build chatbots, virtual assistants and conversational AI platforms.
• Develop APIs and microservices for AI apps.
• Create scalable data pipelines for AI training and inference.
• Fine-tune and evaluate ML models.
• Collaborate with software teams to embed AI capabilities.
• Monitor model performance and drive continuous improvement.
• Ensure AI solutions are secure, scalable and governance-compliant.
• Contribute to architectural discussions in design sessions.

Connaissances

LLMs

Generative AI

RAG

NLP

Prompt engineering

Model evaluation

AI workflows

Formation

Degree in Computer Science, AI, Data Science, Mathematics, Engineering or related discipline

Outils

PyTorch

TensorFlow

Scikit-Learn

LangChain

LangGraph

Hugging Face

FastAPI

REST APIs

Docker

Kubernetes

Git

CI/CD Pipelines

Terraform

SageMaker

Bedrock

Lambda

Description du poste

AI Engineer

Location: London (Hybrid - 2-3 days per week onsite)

Salary: £80,000 - £120,000 + Benefits

Type: Permanent

About 167 Solutions

167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments.

We work with innovative organisations that are investing heavily in Artificial Intelligence, Machine Learning and Automation technologies to transform customer experiences, operational efficiency and business performance.

We are currently supporting a high-growth organisation seeking an experienced AI Engineer to join their expanding AI function and help build next-generation intelligent products and services.

The Opportunity

This is an exciting opportunity for an AI Engineer who enjoys solving complex problems and building production-ready AI solutions that deliver measurable business value.

Working alongside AI Technical Leads, Product Teams, Software Engineers and Data Scientists, you will design, develop and deploy cutting-edge AI applications using modern Machine Learning and Generative AI technologies.

You will play a key role in developing enterprise AI solutions, intelligent automation platforms, conversational AI systems, voice technologies and advanced data-driven applications.

Key Responsibilities

• Design, develop and deploy AI and Machine Learning solutions into production environments
• Build and optimise Generative AI applications using Large Language Models (LLMs)
• Develop Retrieval Augmented Generation (RAG) architectures and AI agents
• Build speech-to-text, voice AI and accessibility-focused solutions
• Create intelligent chatbots, virtual assistants and conversational AI platforms
• Develop APIs and microservices to support AI applications
• Build scalable data pipelines for AI model training and inference
• Fine-tune, evaluate and optimise machine learning models
• Collaborate with software engineering teams to integrate AI capabilities into existing products
• Monitor model performance and implement continuous improvement processes
• Ensure AI solutions are secure, scalable and compliant with governance standards
• Participate in technical design sessions and contribute to architectural discussions

Technical Skills Required

Artificial Intelligence & Machine Learning

• Commercial experience developing Machine Learning solutions
• Experience working with Large Language Models (LLMs)
• Knowledge of Generative AI technologies
• RAG (Retrieval Augmented Generation) implementation experience
• NLP and Conversational AI development
• Model training, testing and evaluation
• Prompt Engineering and AI workflow optimisation

Programming & Frameworks

• Strong Python development skills
• PyTorch
• TensorFlow
• Scikit-Learn
• LangChain
• LangGraph
• Hugging Face
• FastAPI
• REST APIs

Data Technologies

• SQL
• NoSQL Databases
• Data Modelling
• ETL Development
• Data Pipeline Engineering
• Vector Databases such as Pinecone, Weaviate or ChromaDB

Cloud & DevOps

Experience with at least one major cloud platform:

• AWS (preferred)
• Bedrock
• SageMaker
• Lambda
• ECS / EKS
• S3

Or experience within:

• Microsoft Azure
• Google Cloud Platform (GCP)

Additional experience with:

• Docker
• Kubernetes
• Git
• CI/CD Pipelines
• Terraform (desirable)

What We're Looking For

• Strong software engineering foundations
• Passion for AI and emerging technologies
• Experience delivering solutions in production environments
• Ability to work collaboratively across engineering and business teams
• Strong problem-solving and analytical skills
• Excellent communication skills
• Desire to learn and stay ahead of rapidly evolving AI technologies

Desirable Experience

• Voice AI solutions
• Speech Recognition technologies
• Accessibility-focused AI applications
• Agentic AI systems
• Multi-modal AI platforms
• MLOps and model monitoring
• Real-time AI inference systems
• Enterprise AI deployments

Education & Experience

• Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering or related discipline
• Equivalent commercial experience considered
• Typically 3+ years of software engineering experience with exposure to AI, Machine Learning or Data Science projects

What's On Offer?

• Salary between £80,000 - £120,000
• Hybrid working model
• Exposure to cutting-edge AI technologies
• Opportunity to work on enterprise-scale AI initiatives
• Clear progression into Senior AI Engineer or AI Technical Lead roles
• Collaborative and innovative engineering culture
• Significant investment in AI and emerging technology

If you're passionate about Generative AI, Machine Learning, Voice AI, Agentic Systems and building technology that genuinely transforms businesses, we'd love to hear from you.