Machine Learning Engineer
Not disclosed
Salary
Not disclosed by employer
£54,700
Going rate
Skilled Worker going rate
This role likely qualifies for a Skilled Worker visa
Our predicted code SOC 2134 (89% match) is an eligible occupation, with a going rate of £54,700, and ConnexAI is a licensed sponsor. That is our reading of the published rules. Whether they issue a Certificate of Sponsorship is still their call.
About the role
Role: Machine Learning Engineer
Location: Manchester, UK (Hybrid)
About the job
Can you see yourself revolutionising the Agentic AI industry? We are a multi-award-winning AI and SaaS provider based in Manchester, dedicated to boosting productivity and efficiency across our global customer base spanning five continents. As a Machine Learning Engineer, you will be the architect responsible for maximising the fluidity, scale, and performance of our ASR and TTS products within the Agentic AI pipeline.
This role offers a world-class research and production environment: you will work alongside like-minded scientists who develop state-of-the-art models, acting as the vital link between experimental research and enabling these bespoke systems to be used by our customers.
Your primary focus will be implementing highly efficient inference pipelines for real-time and offline speech recognition and synthesis, ensuring our Agentic vision translates into a seamless user experience.
Responsibilities
- Liaise with ASR and TTS technical leads, software engineers, and DevOps teams to deploy models efficiently on Hopper and Blackwell GPU architectures.
- Maintain steady biweekly progression within our sprint-based research environment.
- Implement low-latency, real-time inference ML pipelines using tools such as Triton Inference Server, vLLM, or SGLang.
- Optimise model performance across cloud platforms using frameworks like TensorRT and ONNX.
- Build and maintain robust API services using Python-based web frameworks (e.g., FastAPI).
- Manage containerisation and orchestration workflows using Docker and Kubernetes.
- Ensure system reliability through observability and monitoring tools like Prometheus, Grafana, and OpenTelemetry.
- Write concise technical documentation and research papers.
Requirements
- MSc plus 2+ years of hands-on experience in Speech or Generative AI.
- Deep understanding of Generative AI, Neural Networks, and the latest LLM architectures.
- Expert-level proficiency in Python and PyTorch.
- Proven experience in performance optimisation and cloud platform deployment.
- Strong background in containerisation and orchestration (Docker, K8s, etc.).
- Demonstrated ability to deploy and scale low-latency ML pipelines in production.
- Strong oral and written communication skills.
This description is the source posting as it read when we added it. We are not affiliated with ConnexAI, so check their own site for the current details.
Where this offer sits in the market
SOC 2134 · UK · ONS ASHE 2025 · ~343k in sampleSimilar sponsored roles
See all jobsNo close matches live right now.
Browse more sponsored jobs at ConnexAIAbout sponsorship for this role
Does this job guarantee visa sponsorship?
Not necessarily. ConnexAI holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
What salary is needed for this role to be eligible?
The offer must clear both the general threshold and the SOC 2134 going rate of £54,700. New-entrant and shortage discounts can lower it.