Reed

AI Engineer

167 Solutions Ltd
London, UK
£80,000 – £130,000
about 10 hours ago
hybrid

Skills & Technologies

PythonSoftware EngineeringFastAPIRESTMicroservicesAPIsDevOpsMLOpsSQLNoSQLPineconeETLData PipelineAWSAzureGCPGoogle CloudDockerKubernetesTerraform

Job Description

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 RequiredArtificial 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.

Company & Role Analysis

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Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
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