Machine Learning Engineer

Job Description: ML Engineer

Sept 2026

Job Title

: Machine Learning Engineer

Location

: Remote, UK based

Reporting to

: Lead Developer

Company Overview

• Wyser is a dynamic and innovative digital transformation company that helps organisations improve their efficiency and productivity through the use of responsible AI.

• Wyser designs, builds and operates production AI systems for regulated and frontline services.

• Wyser is currently seeking a skilled Machine Learning Engineer who can assist with readying and supporting our models from inception to production.

Job Responsibilities

We require someone to develop, deploy and support AI models in all parts of the AI life cycle:

• Design, implement and improve LLM application pipelines for speech-to-text, structured summarisation / information extraction, document classification and retrieval-augmented generation.

• Build and tune hybrid RAG systems over documents and transcripts.

• Integrate and operate third-party AI services, including Google’s Gemini Agent Enterprise Platform (Gemini), speech providers (e.g. AssemblyAI, ElevenLabs, DeepGram), Azure Document Intelligence and embedding models, with multi-tenant configuration.

• Own evaluation and quality loops: regression test matrices, STT benchmarking (WER/CER), feedback triage, prompt / schema iteration, and release gates for accuracy-sensitive features.

• Collaborate with product, engineering and data science to turn domain requirements into robust ML behaviour.

Desired skillset:

Essential:

• Strong Python experience building production services (FastAPI or similar, async patterns, testing with pytest).

• Hands-on LLM application engineering ideally with Gemini or comparable providers.

• Experience with RAG or document intelligence systems.

• Solid understanding of cloud platforms, ideally Azure (Blob Storage, queues / Service Bus, Container Apps or equivalent containerised workers, Application Insights).

• Comfortable with Git, Docker and collaborative delivery in a product engineering team.

• Experience with vector databases such as QDrant or similar.

Nice to have / beneficial:

• Experience with Google’s Gemini Agent Enterprise Platform.

• Experience with Microsoft Foundry (Azure AI Foundry).

• Terraform.

• SQL Server and/or PostgreSQL.

• Speech-to-text / audio pipelines: working with STT APIs, VAD or multilingual transcription / translation quality.

• OCR and document parsing (Azure Document Intelligence or similar).

• Experience in regulated domains where auditability matters.

Required Experience

:

A minimum of 2 years of experience within a research and development (R&D) or product engineering environment shipping ML/AI features into production.

Why Join Wyser?

• At Wyser, you'll have the opportunity to work in a fast-paced, innovative environment where your contributions directly impact our success.

• We offer competitive compensation, flexible working arrangements, and the chance to be part of a talented and supportive team.

You must be based in the UK and have the right to work in the UK. We are unable to offer visa sponsorship for this role.