Machine Learning Jobs

• London

Builds and owns the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the best-fitting model or combination. Sets technical direction for inference engines like vLLM and SGLang and serving platforms such as KServe, including air-gapped deployments, GPU autoscaling, batching, caching and quantisation. Works with Research and Post-Training specialists to move tuned models into production routes.

vLLM · SGLang · KServe +6

• London
• Hybrid · 3 days in office
• Mid-level

Join the model performance and scaling team to implement and optimize LLM post-training methods on frontier models, working with research teams to turn new methods into production systems. The role focuses on distributed training and inference performance, low-precision methods, and frameworks like JAX or PyTorch, in a hybrid London setting.

JAX · PyTorch · NCCL +5

• London
• Hybrid · 3 days in office
• Senior

Join a newly formed LLM Engineering team to architect, implement and own systems bringing large language models into scientific and business processes. Work spans LLM serving stacks, agentic infrastructure, RAG, evaluation frameworks and fine-tuning, partnering with researchers to translate scientific needs into technical AI specifications.

vLLM · GCP · MCP

• Cambridge
• Senior

Acts as the primary technical advisor to university research labs and faculty, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• Reading
• Senior

Acts as the primary technical contact for academic and research partners, helping integrate NVIDIA's accelerated computing stack into large language model and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep multi-node LLM lifecycle expertise and involves around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• London
• Hybrid
• £60,000 – £85,000 pa

Builds next-generation AI products for knowledge discovery, intelligent search and scientific insight generation, working hands-on with LLMs, RAG, semantic search, NLP and embeddings. Also develops agentic AI workflows with LangGraph and LangChain, and takes models into production via MLOps, within a hybrid London team serving the life science industry.

LangGraph · LangChain

• Manchester
• On-site
• £550 – £600 pd
• Mid-level
• Contract

Contract data science role focused on building and evaluating AI/ML solutions, including classical models and LLM-based applications on Google Cloud Platform. Day-to-day work spans prompt engineering, RAG concepts, experiment design, model evaluation and documentation, alongside requirements gathering, code review and troubleshooting with project managers and developers.

GCP

• London
• Remote
• £75,000 – £105,000 pa
• Senior

Design, build and deploy production-grade LLM applications, RAG solutions and scalable data pipelines for enterprise clients at a growing technology consultancy. The role spans software engineering, data engineering and AI delivery, with a focus on taking solutions from proof of concept into production rather than research.

Databricks · MLflow · LangChain +5

• London
• Senior

Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and AI workloads on the Databricks Data Intelligence Platform. Specialise in GenAI solutions such as RAG architectures, agentic systems and AI observability, while mentoring colleagues and influencing the platform's AI roadmap.

Databricks · AWS · Azure +7

• London
• On-site
• £130,000 – £180,000 pa
• Director · manages people
• Permanent

Lead the entire AI research strategy for a financial crime intelligence business, building and managing a team of researchers and ML engineers while staying hands-on. Drive LLM fine-tuning, agentic systems, vision models, evaluation frameworks and explainability standards for highly regulated AML, compliance and fraud detection use cases, taking research from concept to production.

LLMs

• London
• On-site
• Entry level
• Permanent

Labelling and evaluating text, speech, image and video data to improve Alexa's performance, acting as a subject matter expert for ML data workflows. The role involves quality checks, root cause analysis, and suggesting process improvements while maintaining strict confidentiality. The team works on-site Monday to Friday in eight-hour shifts.

Alexa

• London

Owns the product capability for post-training LLMs, turning research methods into deployable model improvements for customers. Builds reliable training harnesses, synthetic-data pipelines and evaluation workflows, applying SFT, preference optimisation, RLHF/RLAIF and verifier-based approaches. Works closely with Research and platform teams, with a roadmap spanning SaaS, VPC and air-gapped deployments.

PyTorch · LLMs · SaaS +1

• United Kingdom
• Remote
• Lead

Customer-facing technical authority for Generative AI across EMEA digital-native and startup accounts, shaping architectures and de-risking LLM use cases from RAG and agentic systems to fine-tuning and evaluation. Builds hands-on proofs of concept on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog) and mentors a ~70-person field engineering organisation.

Databricks · Mosaic AI · MLflow +7

• London
• Hybrid · 1 day in office
• £165,000 – £190,000 pa
• Senior

Pre-sales architect acting as a trusted technical advisor to large enterprises, helping them integrate and deploy Claude across their technology stacks. The role spans technical discovery, evaluation frameworks, and scalable architecture design, working closely with Sales, Product, and Engineering teams and occasionally travelling to customer sites.

Claude · Claude API · Claude for Work

• London
• Hybrid
• £165,000 – £190,000 pa
• Senior

Partner with founders and startup engineers as a technical advisor, guiding them from evaluation through deployment of LLM applications on the Claude Developer Platform. You'll run technical evaluations, design architectures, develop evaluation frameworks, and feed emerging use cases back to Product and Engineering, with travel to customer sites and events.

Claude · Claude Developer Platform