Machine Learning Jobs in York

Cohere · London

Research scientists and engineers advancing multilingual large language models, designing scalable solutions to improve LLM performance across many languages and skills. The role spans building ML pipelines, publishing research at top-tier venues, and mentoring junior team members, with a strong emphasis on Python and NLP fundamentals.

Cohere · London

Builds and owns the training framework powering frontier-scale language models, spanning distributed training abstractions, checkpointing, and performance profiling across thousands of GPUs. Works at the intersection of large-scale training, distributed systems, and HPC, partnering with infra, research, and deployment teams on tooling that speeds up ML development.

ElevenLabs · London

Forward-deployed engineer embedded with GTM, Operations and Finance teams, designing and shipping agentic AI workflows that remove manual toil. You build AI agents and orchestrations with ElevenAgents, Claude and n8n, integrate them with Salesforce, Slack and Ashby, and own experiments end-to-end including evaluation and monitoring frameworks.

ElevenLabs · United Kingdom

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams across Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

Cohere · London

Designs and writes high-performance, scalable software for training frontier models, improving the training setup from an infrastructure and codebase performance standpoint. Builds tooling to speed up training cycles and works on supercompute and data infrastructure, bridging research and production. Works with distributed training stacks like Kubernetes, Slurm and Ray, with one of the highest compute-to-engineer ratios in the world.

Cohere · London

Builds and maintains the data pipeline behind Cohere's large language models, running data ablations to assess quality and designing pre-training data mixtures that improve model performance. Combines research and engineering, working with Python, Spark or Beam on web, code and multilingual corpora alongside researchers and engineers.

Cohere · London

Research engineering role on the integration team, building and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale distributed RL methods. Day to day involves writing high-performance training software, developing research tooling, and collaborating with infrastructure, efficiency, serving and scientific teams to improve SFT, offline preference and RL training cycles.

Cohere · London

Builds and optimizes the synthetic data pipeline behind Cohere's frontier language models, running scalable inference on large GPU clusters and transforming web and code data with generative models. Involves data ablations, mixture experiments and model evaluation to improve token efficiency and training throughput, working closely with researchers and engineers.

Cohere · London

Interns work across frontend, backend, full-stack or infrastructure teams, shipping user-facing product code, building API platform features, designing data pipelines and scalable ML infrastructure, and contributing to CI/CD tooling and technical documentation. Interns are treated much like full-time engineers, with autonomy and ownership over production code, supported by mentors and team leads.

Cohere · London

Research internship focused on building and training large language models, with projects spanning base model training, retrieval augmented generation, evaluation, safety, and finetuning. Interns design and implement novel research ideas, ship state-of-the-art models to production, and publish results through papers, datasets, and code.

Cohere · London

Owns key components of a large-scale web data pipeline for pre-training language models, covering extraction, parsing, deduplication and filtering of noisy internet corpora. Analyses data composition and quality across domains, languages and time periods, and studies its impact on downstream model performance alongside research and evaluation teams.

Cohere · London

Owns the integration pipeline for an enterprise AI workspace platform, building and maintaining tools that connect external APIs and data sources to agentic systems. Writes evals and tests to catch regressions, tunes tool descriptions, and helps other engineers add integrations while raising team standards.

Cohere · London

Founding Solutions Architect for the Nordics, owning the technical relationship with enterprise and government customers. Leads design and deployment of pilots, maps customer problems to AI solutions, and works with account executives, partners and product teams to drive adoption of LLM technology.

Cohere · United Kingdom

Deploy Cohere's North AI workspace platform into private cloud and on-premises environments, leading planning, configuration, testing and rollout. Partner with enterprise IT teams on infrastructure, security and data management, administer large-scale Kubernetes clusters with Helm, and travel up to 20-40% to customer sites. Requires active DV clearance (preferred) and strong cloud, networking and virtualization expertise.

Cohere · United Kingdom

Own the design, build and deployment of LLM-powered agentic workflows for enterprise customers, integrating models with tools, APIs and sensitive data sources. Work across the full product lifecycle on the North AI workspace platform, building reliable, observable and auditable agents, with up to 20-40% travel to customer sites.