23 of 23 Permanent Machine Learning Jobs in West London

and infrastructure for multi-omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology. Implement high-performance ML algorithms optimised for massive-scale, ensuring reliability, efficiency, and scalability. Design, develop, and maintain robust experimentation pipelines enabling rapid iteration, precise evaluations, and reproducible research outcomes Refactor and scale prototype … forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field. Culture Insight What we are doing is extremely hard. Prima Mente is for … the-art machine learning methodologies and proven experience in translating them into practical solutions. Solid foundation in distributed computing principles, parallel processing, and algorithmic efficiency. Experience optimizing ML algorithms for performance, memory efficiency, and compute resource utilization. Skilled in designing and implementing scalable data pipelines capable of rapid ingestion, transformation, and processing. Deep expertise in modern ML frameworks More ❯

public and proprietary datasets across different multi-omic, multi-modal types. QC and data analysis. Multi-omic bioinformatics pipeline development. Cloud infrastructure. Feature engineering and dataset preparation for downstream machine learning as well as foundational AI training and application. Work with experimental and machine learning teams to confirm and refine computational findings. Develop and manage specific … Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, engineering, clinical operations and biology. Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field. Culture Insight What we are doing is extremely hard. Prima More ❯

to use your technical expertise to make a real difference. The Role - Technical Industrial Placement - Space, Defence & Intelligence With CGI, you won't just be a cog in the machine - you'll be trusted with responsibility from the start. Whether you're coding complex software, optimizing cybersecurity protocols, managing next-gen infrastructure, or testing cutting-edge systems, your work … your STEM background to drive innovation. Hands-On Experience: You'll be part of a community that values respect, belonging and continuous development. With mentorship programs and access to learning resource, we're committed to helping you thrive in your career. Why Choose CGI's SDI Sector? For nearly 50 years, CGI has been a key player in Space … ideas are recognised and contribute to the success of the team and the organisation. Be empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Creative: Our Student Kick-start Initiative will give you the chance to work with fellow industrial placements on creative and More ❯

foundation models, and translating discovery to real clinical and research impact. Role focus - Foundation Models for Biology Architect, build, and scale our foundational AI infrastructure. You'll ensure our ML models are developed and deployed on highly performant, scalable, and reliable systems. Your expertise will enable rapid experimentation and seamless deployment of large-scale mulit-omic models, empowering researchers to … advance groundbreaking scientific discoveries. Architect, develop, and optimize robust ML training and inference infrastructure capable of supporting large-scale genomic foundation models. Design and implement scalable and efficient distributed computing platforms leveraging cloud (AWS/GCP/Azure) and HPC clusters. Develop highly automated, reproducible data pipelines and CI/CD workflows that accelerate model development, testing, and deployment. Performance … tune infrastructure and models, optimizing resource utilization (GPU/TPU) and significantly improving computation efficiency. Collaborate cross-functionally with ML researchers, bioinformaticians, and scientists to translate research needs into scalable engineering solutions. Ensure system reliability, robustness, and high availability, proactively implementing comprehensive monitoring, logging, and alerting solutions. Champion infrastructure-as-code (IaC) practices, promoting clarity, reproducibility, security, and auditability. Expected More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across core products. Technical Leadership - Provide strong technical leadership More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across core products. Technical Leadership - Provide strong technical leadership More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

tools such as Excel, R and SQL. Hands-on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles across the lifecycle of complex modelling initiatives including: Product ownership defining vision, roadmap and stakeholder … Requirements analysis and specification gathering business needs and translating them into technical requirements, Solution design architecting robust analytical frameworks and methodologies, Model generation coding, testing and validating statistical or machine learning models, User acceptance testing managing end-user testing and feedback integration, and On-going support and maintenance ensuring reliability, scalability and continuous improvement of models in production. More ❯

be enthusiastic and willing to learn new things. It is also considered a bonus if you have: Understanding of service-oriented architectures and building cloud-based products. Experience with Machine Learning, Computer Vision, AI technologies. We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously, while not afraid to ask … holidays. Attractive defined contribution pension scheme. Employee stock purchase plan. Flexible working options. Private medical care. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. Well known companies discount scheme. More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

framework. Architect scalable, Azure-based data platforms to support BI, analytics, and AI. Integrate fragmented data sources into a unified, accessible, and secure data ecosystem. Enable predictive analytics and machine learning through clean, well modelled datasets. Collaborate with stakeholders across the business to align data initiatives with strategic goals. Promote ethical and sustainable data practices, including compliance with … Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks. Strong stakeholder engagement skills - able to translate complex data concepts into business value. Experience preparing data estates for AI/ML, including data lineage and model input pipelines. Ideally, experience in public sector, cultural, or not-for-profit environments (though this is not essential What's On Offer: A salary of More ❯

controllers) into experimental workflows. Build pipelines for real-time or post-run data processing e.g., images from microscopes. Develop software for data analysis, data QC checks, statistical analysis, or machine learning models to interpret experimental data. Understand experimental goals and help translate scientific requirements into technical solutions. The ideal Software Engineer will hold a PhD in Computer Science More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

D, Commercial, and IT, guiding regional change initiatives. Location Base options: Stockley Park, UK or Cork, Ireland Key Responsibilities Solutions Excellence: Drive digital transformation initiatives, identify innovative technologies (AI, machine learning, automation), and develop multi-year digital roadmaps in collaboration with IT and other departments. Technology Integration & Operations: Oversee integration and optimization of ERP systems, procurement solutions, and More ❯

domains, such as: Developing ontologies to support automation in advanced manufacturing Creating data structures and storage architectures for advanced materials Defining data quality metrics for medical datasets used in machine learning Building information models to represent scientific experiments Improving research data processing through automation, scalability, and infrastructure redesign The NPL Data Science Team, comprising around 30 members across More ❯

of GPS updates per second using WebSockets, Redis Pub/Sub, and geofencing tech. Build responsive dashboards in React/Next.js and Tailwind that feel native and intuitive. Integrate ML and optimization models to surface real-time decision-making insights. Set the standard for engineering culture, dev experience, testing, CI/CD, and observability. Work directly with the founders to … work collaboratively with non-engineers. Extra bonus points Experience in logistics, mapping, or geospatial platforms. Familiarity with tools like BullMQ, Kafka, RabbitMQ, or WebSocket systems. Exposure to AI/ML pipelines, heuristic models, or route optimization algorithms. Knowledge of mobile app development (React Native or Flutter). Infra experience: Docker, Kubernetes, Terraform, CI/CD, AWS. Why This Role is More ❯

Role: Technology & AI Manager Salary: £65k - £75k Location: West London (Heathrow/Uxbridge) Hybrid Working - 2 days on-site/3 days WFH Skillset: Data Products/AI/ML Summary A brand-new position has opened for a Technology and AI Manager to join a thriving global logistics and transportation company. The role is being offered on a hybrid … act as the bridge between business stakeholders, the technology division, and external technology partners. We are looking for someone who can identify opportunities to design and deploy AI and ML within the business. The company already have ideas as to where this can work well but are looking for additional ideas, expertise and knowledge. What are we looking for The More ❯

Role: Technology & AI Manager Salary: £65k - £75k Location: West London (Heathrow/Uxbridge) Hybrid Working - 2 days on-site/3 days WFH Skillset: Data Products/AI/ML Summary A brand-new position has opened for a Technology and AI Manager to join a thriving global logistics and transportation company. The role is being offered on a hybrid … act as the bridge between business stakeholders, the technology division, and external technology partners. We are looking for someone who can identify opportunities to design and deploy AI and ML within the business. The company already have ideas as to where this can work well but are looking for additional ideas, expertise and knowledge. What are we looking for The More ❯