AI / ML Lead Engineer

Ingeni Solutions Ltd; Remote; GBP 60,000 - 68,000; Full time

Job summary

A leading engineering consultancy is seeking an AI / ML Lead to spearhead the design and development of intelligent tools powered by AI and machine learning. The role involves building and deploying production-grade models, mentoring colleagues, and collaborating with cross-functional teams to ensure impactful AI solutions. Candidates should have over 5 years of relevant experience and skills in Python, RAG pipelines, and cloud resources. Position allows for remote work within the UK or Europe, fostering a diverse and innovative environment.

Benefits

Empowered to make an impact

Multinational team

Focus on innovation and collaboration

Qualifications

• 5+ years of experience building / deploying ML models.
• Active involvement in RAG pipelines and cloud applications.
• Experience with application-level AI orchestration tools.

Responsibilities

• Lead design and development of AI/ML capabilities.
• Build, deploy, and scale production-grade AI models.
• Drive technical direction and mentor team members.

Skills

Python

Building RAG pipelines

Analysis of OSS models

Building REST APIs

Cloud AI resources

Postgres

AI orchestration tools

Education

Computer Science or similar with MSc AI/ML

Tools

Amazon SageMaker

Google Vertex AI

Node JS

TypeScript

Terraform

Job description

Term : Full-Time, Contract [6-Months FTC – with potential to become Permanent]

Start Date : Immediate

Title : AI / ML Lead

Experience : 5+ years of experience building / deploying ML models

Salary : £60K - £68K / year (Depending on experience)

Education : Computer Science or similar with MSc AI / ML as desirable

Location : Remote [UK or Europe]

Who We Are

Ingeni is an engineering consultancy, who work closely with semiconductor design vendors to design compliant IP and System-on-Chip designs. Our applications primarily focus on safety-critical applications within the automotive and industrial domains. Founded in 2015, Ingeni has grown into a global team and become a trusted partner for IP semiconductor design teams seeking a simpler and more streamlined way to achieve complete product compliance.

Building Nex-Gen Tools

As part of this initiative, we are building a suite of intelligent tools to support this mission, with three products currently under active development by our team. Central to this effort is the integration of AI and machine learning, with the long-term vision of creating AI-native applications that would improve efficiency and effectiveness for a variety of engineering workflows within the semiconductor domain.

Role

In this role, the Senior AI / Machine Learning Engineer will lead the design and development of the AI / ML capabilities powering these intelligent tools. You will take ownership of building, deploying, and scaling production-grade models, and play a key role in shaping our AI-native applications that act as copilots for engineering workflows in the semiconductor space. Working closely with cross-functional teams, you will drive technical direction, mentor team members, and ensure our AI solutions deliver real, measurable value.

Experience [Required]

• Python
• Building RAG pipelines, or RAG implementations in cloud applications
• Analysis, benchmarking, selection and review of OSS models
• Building REST APIs
• Common Cloud AI resources (Amazon Bedrock / SageMaker, Google Vertex AI etc.)
• Postgres, both for traditional relational database and for vector database (pgvector, pgai, Pinecone or similar)
• Application-level AI orchestration tools (LangChain, LangSmith, LangGraph etc.)

Experience [Desirable]

• Node JS
• TypeScript
• Express, NestJS or similar
• Portable fine-tuning of AI models (eg : LoRA)
• Multi-cloud and / or multi-tenant architecture
• Terraform

Candidate Qualities

• Independent / self-starter
• Confident and excellent communication skills
• Dependability & strong work ethic
• Uses initiative & resourceful

Working At Ingeni

• You will be empowered from the beginning to make a real impact within the business.
• Diversity is on our DNA, and you will join a multinational and multicultural team
• Innovation is at our core, but teamwork and collaboration are paramount.

Hiring Process

Application Stage >

Initial Discussion (Technical) >

Final Discussion (Alignment)