Senior Machine Learning Engineer
2 weeks ago
Senior LLM Engineer – London | Hybrid (2 days per week on-site, Bank area) My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability and explainability actually matter, so think regulated, risk-aware, or operationally critical environments rather than hype-driven MVPs. The current AI/ML group is around eight senior engineers, with backing to grow sensibly (not a hiring spree). This role sits within that team and is focused on designing and deploying LLM systems that make it into production, are cost-efficient, and work reliably in the real world. What you'll be doing: • Owning the design and build of LLM-based systems end-to-end • Fine-tuning and adapting models (LoRA, instruction tuning, PEFT etc) rather than just prompt-engineering • Building RAG workflows, embedding strategies, memory layers and domain grounding • Working out how to measure output quality, reduce hallucination risk and improve robustness • Optimising inference performance (quantisation, distillation, pruning, batching, caching)• Deploying models into production environments where latency, cost and privacy are real constraints • Working closely with both internal engineers and client teams to ensure what gets built actually lands well What they're looking for: • Hands-on LLM experience beyond prototyping / notebooks • Strong Python and experience with PyTorch / Hugging Face / similar tooling • Experience deploying models into production (not just training them)• Familiarity with vector stores and RAG patterns • Comfortable operating in a hybrid environment and speaking with stakeholders where required • Someone who enjoys solving real problems end-to-end: from understanding the domain → designing the approach → shipping the implementation • Experience of MLFlow / MLOps highly desirable Important notes (just to be upfront): • They cannot sponsor visas, so you'll need existing right to work in the UK • No relocation support – you'll need to already be UK-based and able to be in London (Bank area) twice a week • This is a senior role – typically someone with 3+ years' experience in ML/AI roles, ideally from a data science or applied ML background Benefits / set-up: • Modern kit (MacBook etc.)• 27 days annual leave + bank holidays • 4-week paid sabbatical after 4 years' tenure • Regular team meet-ups, workshops, and knowledge-sharing sessions • Sensible working hours – grown-up environment, not crunch culture • Clear progression as the AI group continues to scale • Stable team, low-ego culture, and work that isn't just slideware or demos
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Senior Machine Learning Engineer
2 weeks ago
Slough, Berkshire, United Kingdom La Fosse Full timeSenior Machine Learning Engineer – AI & NLP £100,000 – £110,000 (+10% bonus) London – 4 x a week in office La Fosse have partnered with a global business using cutting-edge AI to transform complex decision-making and data-driven processes. We are seeking a Senior Machine Learning Engineer to design and deploy production-ready ML systems that reduce...
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