Latest ml scientist Jobs

Applied Scientist - LLM, Alexa

This role involves developing and deploying advanced natural language processing and large language model solutions to enhance Alexa's conversational capabilities. The scientist will work across the research-to-production pipeline, collaborating with engineers and researchers to improve model performance, reasoning, and integration within real-time systems. Key focus areas include customer experience metrics, low-latency inference, and novel AI-driven interactions.

Amazon Cambridge, United Kingdom

Hybrid Permanent

Applied Scientist, Demand Tech, Amazon Ads

This role involves designing and improving machine learning models for ad ranking, valuation, and bidding within Amazon Ads, focusing on relevance and performance at scale. The scientist will work on real-time, customer-facing systems that impact millions of shoppers, combining deep learning and information retrieval techniques. The position emphasizes end-to-end ownership, from problem framing to production deployment, in a collaborative, research-driven environment.

Amazon London, United Kingdom

Permanent

Senior/Principal Machine Learning Scientist (Generative Modelling)

This role involves developing generative and predictive models of cellular behaviour using single-cell multi-omics and perturbation data, with a focus on causal inference, counterfactual prediction, and guiding experimental design. The scientist will work iteratively with wet-lab teams to validate hypotheses and refine models, operating at the intersection of machine learning and experimental biology. The position emphasizes mechanistic fidelity, real-world utility, and interdisciplinary collaboration in a high-impact drug discovery environment.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior Machine Learning Scientist (Single Cell)

Develop machine learning models tailored to single-cell and multiomic biological data to understand cellular responses to interventions and inform therapeutic strategies. Work at the intersection of generative modelling and experimental biology, collaborating closely with wet-lab scientists to translate biological questions into modelling problems and interpret results in meaningful ways. Contribute to the research roadmap and advance the biological coherence of model evaluation beyond standard metrics.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior Applied Engineer

Develop and scale physical foundation models for AI-driven engineering simulation, bridging research and production. Work across the full stack from distributed training on multi-GPU cloud infrastructure to robust software implementation, collaborating with scientists and engineers to solve real-world physics problems. Contribute to reusable libraries and mentor team members in a high-impact, research-led environment.

PhysicsX United Kingdom

Hybrid Permanent

Embedded Machine Learning Engineer

Design and deploy machine learning models that run on resource-constrained embedded devices processing real-time sensor data. Work across the full lifecycle from raw sensor input to field deployment, optimising for memory, latency, and power. Collaborate with firmware and hardware teams to ensure reliability in uncontrolled environments and contribute to cross-domain model transfer.

KO2 Embedded Recruitment Solutions Edinburgh, United Kingdom £60,000 – £70,000 pa

AI Engineer

Design and implement AI models across the full development lifecycle, from prototyping to deployment, with a focus on generative AI and LLMs. Collaborate with cross-functional teams to build responsible, scalable solutions using modern ML and MLOps tooling. Work across diverse client projects in an agile, consultancy environment.

Peregrine Preston, Lancashire, United Kingdom

Machine Learning Software Engineer, Research

Develop and scale machine learning models for AI-driven physics and engineering simulations, translating research prototypes into robust, production-grade systems. Work across distributed training, cloud infrastructure, and high-performance computing to deliver foundational models used in aerospace, energy, and advanced manufacturing. Collaborate closely with research scientists and engineers to optimize performance and enable real-world impact.

PhysicsX London, United Kingdom

On-site Permanent

Software Engineer

Design and build scalable cloud infrastructure and services to support AI models and agentic applications in a production environment. Develop robust, high-performance systems using modern cloud technologies and biomedical data sources. Collaborate with ML engineers and scientists to ensure infrastructure meets operational and performance requirements across the full software lifecycle.

Experis London, United Kingdom £750 – £830 pd

Technical Deployment Lead

Lead end-to-end technical delivery of custom AI agent solutions for enterprise clients in regulated industries, from scoping to production deployment. Bridge technical and business stakeholders, define MVPs, manage stakeholder expectations, and codify reusable playbooks. The role combines technical leadership with executive engagement to drive successful AI adoption in complex environments.

Anthropic London, United Kingdom £165,000 – £230,000 pa

Senior Data Science Consultant

As a Senior Data Science Consultant, you will lead and support the delivery of AI, GenAI, and data science projects, working closely with clients to solve complex business challenges. You will collaborate with multidisciplinary teams, demonstrate the value of AI through workshops and presentations, and contribute to business growth through proposals and thought leadership.

Deerfoot Recruitment Solutions London, United Kingdom £60,000 – £70,000 pa

Hybrid Permanent

Senior Machine Learning Engineer

Lead the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. Focus on scalable, ethical AI solutions using cloud platforms and modern MLOps practices. Mentor junior engineers and shape engineering standards while working across technical, product, and client teams.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle using cloud platforms and containerisation technologies.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Data Science - Manager

Lead a team of data scientists focused on delivering high-impact evaluations and insights from real and simulated driving data to accelerate autonomous vehicle development. Drive technical direction, roadmap execution, and cross-functional collaboration with engineering teams. Scale the team and its tooling to support Wayve’s mission of advancing end-to-end AI for automated driving.

Wayve London, United Kingdom

Machine learning Engineer

This role involves building and deploying production-grade machine learning systems for clients across energy, infrastructure, and government sectors. The engineer will work on scalable ML solutions, define best practices for deployment, and collaborate with cross-functional teams to deliver real-world AI impact. Emphasis is placed on operationalising models, cloud infrastructure, and translating technical concepts for non-technical stakeholders.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required