AI / ML Lead Engineer

AI / ML Lead Engineer

Posted 1 day ago by Ingeni Solutions Ltd

£68,000 Per year
Undetermined
Remote
England, United Kingdom

Summary: The AI / ML Lead Engineer will spearhead the design and development of AI and machine learning capabilities for Ingeni's intelligent tools, focusing on the semiconductor domain. This role requires a minimum of 5 years of experience in building and deploying ML models, with a strong emphasis on collaboration and mentorship within cross-functional teams. The position is remote, with a contract term of 6 months that may lead to a permanent role. The ideal candidate will possess a solid foundation in Python and cloud AI resources, among other technical skills.

Key Responsibilities:

  • Lead the design and development of AI/ML capabilities for intelligent tools.
  • Build, deploy, and scale production-grade models.
  • Shape AI-native applications to enhance engineering workflows.
  • Drive technical direction and mentor team members.
  • Ensure AI solutions deliver measurable value.

Key Skills:

  • 5+ years of experience in building/deploying ML models.
  • Proficiency in Python.
  • Experience with RAG pipelines and cloud applications.
  • Knowledge of REST APIs and common cloud AI resources (e.g., Amazon Bedrock/SageMaker, Google Vertex AI).
  • Familiarity with Postgres and AI orchestration tools (e.g., LangChain).
  • Desirable skills include Node JS, TypeScript, and Terraform.
  • Strong communication skills and a dependable work ethic.

Salary (Rate): £68K/year

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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)