Jobs in Reading

Spotlight

ML Systems Engineer

Develop and maintain a software 'digital twin' to model and benchmark a high-speed knowledge layer for agentic AI systems. Design and run experiments to evaluate performance improvements from semantic memory, using GraphRAG and enterprise knowledge graphs, while aligning software models with hardware development. Produce rigorous benchmarks and evidence for technical validation, fundraising, and pilot support.

IC Resources Edinburgh, United Kingdom

On-site Permanent

AI (Machine Learning)Engineer

AI/ML Engineer (SC Cleared)Salary:Up to £85,000 + BenefitsLocations:Bristol, Cheadle (Stockport), Glasgow, Reading or CrawleyWorking Pattern:HybridSecurity Clearance:Active SC Clearance RequiredAkkodis is currently recruiting for two experienced AI/ML Engineers to design, develop and deploy secure AI solutions for autonomous and mission-critical systems.The...

Akkodis Bristol, United Kingdom £80,000 – £85,000 pa

Sales Development Representative - German Speaker

Engage with inbound and outbound leads through calls, emails, and social outreach to generate qualified opportunities for the sales team. Focus on building relationships with German-speaking prospects, conducting follow-ups, and supporting the handoff to account executives. Operate in a fast-paced, experimental environment with a strong emphasis on customer-centricity and growth.

Synthesia London, United Kingdom

Hybrid Permanent

Senior Software QA Test Development Engineer

This role involves developing and automating test frameworks for a distributed system that manages thousands of resources across NVIDIA teams. The engineer will create test plans, automate UI and API testing, integrate tests into CI/CD pipelines, and enhance QA workflows using AI-driven tools. A key focus is leveraging Large Language Models and AI techniques to improve test generation, debugging, and validation efficiency in complex, cloud-based environments.

NVIDIA United Kingdom

Data Scientist - Financial Services

This role involves end-to-end ownership of existing analytics and production data science models for UK and Canadian markets, with a focus on revenue monitoring, partner performance, email campaigns, and experimentation. The Data Scientist will maintain and troubleshoot live systems rather than build new models, ensuring reliability and clear communication with cross-functional teams. The position requires strong operational discipline and technical maintenance of established pipelines and reporting.

EF Recruitment London, United Kingdom £480 – £500 pd

Postdoctoral Researcher in Large Language Model Development

The role involves curating and processing multilingual humanities data, pre-training and fine-tuning large language models, and developing evaluation benchmarks. You will work closely with subject specialists and contribute to open-source research and publications.

University of Oxford Oxford, South East England, United Kingdom £39 – £41 pa

Contract

Machine Learning Scientist

This role involves designing and prototyping novel generative machine learning models for protein design, with close collaboration between computational and experimental teams. The scientist will build scalable data pipelines, optimize deep learning models for performance, and iteratively refine models based on wet lab feedback. A strong emphasis is placed on code quality, interdisciplinary collaboration, and translating model outputs into real-world biological functions.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Member of Technical Staff

Design and develop novel generative machine learning models for protein design, integrating with wet lab validation cycles. Work in a cross-disciplinary team to build scalable data pipelines, optimize model performance, and deploy models that function in real-world biological assays. Engage in continuous learning of protein and cell biology to inform model development and contribute to scientific advancement in synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Study Skills Lecturer

Department: Academic – as part of our partnerships with University of Suffolk (UoS)Location: Leeds or Manchester (On-Site)Salary:£51,000 per annumType of Contract: Full-Time, Permanent (40 hours per week)Our Vision: Changing lives through educationThe role: We are seekingStudy Skills Lecturers to join...

GEDU Leeds, United Kingdom

W

Machine Learning Engineer (Synthetic Data)

Build and scale next-generation world models to generate high-fidelity synthetic data for autonomous driving systems. Bridge research and engineering by integrating synthetic data into training pipelines, improving realism and throughput. Work on generative architectures like GAIA, diagnose 3D geometry failures, and enable training for vehicles with minimal real-world data.

Wayve London, United Kingdom

Senior AI Operations Manager

This role involves managing the operational performance and reliability of enterprise AI platforms in production, with a focus on incident management, monitoring, SLAs, and DevOps practices. The individual will ensure operational readiness, support continuous improvement, and coordinate with distributed teams while applying principles of AI governance and responsible AI. The position requires strong technical leadership in cloud-based AI environments, particularly with Microsoft Azure AI and Co-pilot.

eTech Partners London, United Kingdom £90,000 – £100,000 pa

Remote

Machine Learning Engineer

Design and deploy machine learning and generative AI systems for national security applications, transitioning models from experimentation to production using AWS-based MLOps and LLMOps platforms. Develop scalable ML pipelines, LLM-powered capabilities, and robust monitoring systems while ensuring compliance with governance and responsible AI principles. Collaborate with cross-functional teams and mentor junior engineers in a high-impact, security-cleared environment.

eFinancialCareers London, United Kingdom £65,000 pa

On-site Permanent Clearance Required

Applied AI Engineer, Digital Natives

Design and deploy AI systems for enterprise clients, translating business needs into technical architectures and production implementations. Work hands-on with code, evaluation frameworks, and integrations while guiding customers from prototype to scalable, reliable deployment. Collaborate across OpenAI teams to turn real-world deployment insights into product improvements and reusable solutions.

OpenAI London, United Kingdom

Hybrid Permanent

Applied AI Engineer, Codex

This role involves working directly with engineering teams to design and implement AI-powered software development workflows using Codex. The engineer will build prototypes, integrations, and evaluation systems, often leveraging Codex in their own development process. They will guide clients from experimentation to production deployment, ensuring measurable improvements in developer productivity and software delivery.

OpenAI London, United Kingdom

Hybrid Permanent

Senior ML Engineer, Doc Fraud

This role involves building and optimizing production-scale machine learning systems for document classification and extraction, focusing on fraud detection in government-issued IDs. The engineer will work with VLMs/LLMs and traditional ML models, design training and inference pipelines, and integrate solutions into customer-facing products. Collaboration with applied science, product, and operations teams is key to delivering accurate, real-time document verification experiences.

Entrust London, United Kingdom

Hybrid Permanent

Director, Translational Medicine, Oncology, Cambridge, MA

Lead the development and execution of translational medicine strategies for oncology programs, integrating AI-driven insights to inform clinical trial design and biomarker development. Drive cross-functional collaboration across drug discovery, computational biology, and clinical teams to advance novel therapies from preclinical stages through clinical proof of concept. Pioneer innovative diagnostic approaches and leverage multi-omic datasets to validate mechanisms of action and resistance in cancer therapies.

Isomorphic Labs Cambridge, United Kingdom