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MLOps Engineer (LLMGenAI)HSBC • Sheffield, England, UK
MLOps Engineer (LLMGenAI)

MLOps Engineer (LLMGenAI)

HSBC • Sheffield, England, UK
30+ days ago
Job type
  • Full-time
Job description

If youre looking for a career that will help you stand out join HSBC and fulfil your potential - whether you want a career that could take you to the top or an exciting new direction we offer opportunities support and rewards that will take you further.

Were one of the largest banking and financial services organisations in the world with a network that covers more than 50 countries and territories. We aim to be where the growth is enabling businesses to thrive and economies to prosper and ultimately helping people fulfil their hopes and realise their ambitions.

We are seeking a MLOps Engineer (LLM/GenAI)

In this fantastic role youll engineer production-grade infrastructure for modern AI: hosting LLMs and speech/embedding models pushing inference performance on real hardware and building repeatable fine-tuning pipelines that ship domain-adapted models into production.

If you like hard performance problems platform engineering and seeing your work used broadly across a global organisation this role is built for you

As an HSBC employee in the UK youll have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees enhanced maternity and adoption pay and support when you return to work and a contributory pension scheme with a generous employer contribution.

In this role you will:

  • Design build and operate scalable model hosting platforms for LLMs embeddings and STT/TTS across heterogeneous hardware
  • Optimise inference for latency throughput and cost (e.g. quantisation KV-cache optimisation dynamic/continuous batching)
  • Evaluate and integrate inference frameworks (e.g. vLLM TensorRT-LLM SGLang) to maximise performance on target hardware
  • Own inference health/performance monitoring (latency throughput TTFT memory availability) and troubleshoot bottlenecks/deployment issues
  • Build end-to-end fine-tuning pipelines (data prep distributed training validation) and integrate fine-tuned models into the hosting/inference stack

To be successful in this role you should have the following skills:

  • Extensive experience in building AI platforms covering model hosting/inference optimisation and fine-tuning pipelines (LLM experience strongly preferred)
  • Strong Python and CUDA engineering; solid understanding of GPU/CPU architecture and HPC fundamentals
  • Deep inference optimisation expertise: KV-cache batching quantisation (INT4/FP8/GPTQ/AWQ) operator optimisation framework integration (vLLM/TensorRT-LLM/SGLang)
  • Production hosting experience with Docker/Kubernetes and cloud platforms (AWS/GCP/Azure)
  • End-to-end fine-tuning expertise: data preparation distributed training hyperparameter tuning HF/Accelerate/LoRA/QLoRA plus benchmarking/monitoring/troubleshooting

Opening up a world of opportunity.

Being open to different points of view is important for our business and the communities we serve. At HSBC were dedicated to creating diverse and inclusive workplaces - no matter their gender ethnicity disability religion sexual orientation socio-economic background or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities long term conditions or neurodivergent candidates who meet the minimum criteria for the role.

If you have a need that requires accommodations or changes during the recruitment process please get in touch with our Recruitment Helpdesk via .



Required Experience:

IC


Employment Type : Full Time
Experience: years
Vacancy: 1
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MLOps Engineer (LLMGenAI) • Sheffield, England, UK

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